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This provides a summary of the aforementioned Expert System as referred from few reference papers cited at the end. It describes the summary of the modules of this expert system and the technique used behind them.
Expert System - Automated Traffic Light Control Based on Road Congestion
Expert System - Automated Traffic Light Control Based on Road Congestion
Kartik Shenoy
IOSR Journal of Computer Engineering (IOSR-JCE) VOL.10 ISSUE.1
Design of Smart Traffic Light Controller Using Embedded System
Design of Smart Traffic Light Controller Using Embedded System
IOSR Journals
IAETSD
Iaetsd literature review on traffic signal control system based on
Iaetsd literature review on traffic signal control system based on
Iaetsd Iaetsd
this ppt contain all major traffic problems for pedestrian
Traffic control system
Traffic control system
zahid6
Simulation and Optimization project developed using Smart IDE
Smart Traffic Control System
Smart Traffic Control System
Atul Gupta
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
Automated traffic control system
Automated traffic control system
Likithe
Application of traffic light
Application of traffic light
are you
ATCS is the the requirement of the day for efficient and effective traffic management in India.
Adaptive Traffic Control System : The Smart and Imperative Traffic Monitoring...
Adaptive Traffic Control System : The Smart and Imperative Traffic Monitoring...
KajalDubey13
Recomendados
This provides a summary of the aforementioned Expert System as referred from few reference papers cited at the end. It describes the summary of the modules of this expert system and the technique used behind them.
Expert System - Automated Traffic Light Control Based on Road Congestion
Expert System - Automated Traffic Light Control Based on Road Congestion
Kartik Shenoy
IOSR Journal of Computer Engineering (IOSR-JCE) VOL.10 ISSUE.1
Design of Smart Traffic Light Controller Using Embedded System
Design of Smart Traffic Light Controller Using Embedded System
IOSR Journals
IAETSD
Iaetsd literature review on traffic signal control system based on
Iaetsd literature review on traffic signal control system based on
Iaetsd Iaetsd
this ppt contain all major traffic problems for pedestrian
Traffic control system
Traffic control system
zahid6
Simulation and Optimization project developed using Smart IDE
Smart Traffic Control System
Smart Traffic Control System
Atul Gupta
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
Automated traffic control system
Automated traffic control system
Likithe
Application of traffic light
Application of traffic light
are you
ATCS is the the requirement of the day for efficient and effective traffic management in India.
Adaptive Traffic Control System : The Smart and Imperative Traffic Monitoring...
Adaptive Traffic Control System : The Smart and Imperative Traffic Monitoring...
KajalDubey13
This project is based on Geographic Information System (GIS). traffic signal can be controlled by using this method . We can avoid traffic jam, alternative path for user is genrated , no emergency vehicle is stuck in traffic.
Traffic signal control management based on integrating GIS and WSN technology
Traffic signal control management based on integrating GIS and WSN technology
krushna kotgire
Traffic signal management system report
Traffic management system
Traffic management system
Sayyed Shozib Abbas
Traffic information system
Traffic information system
Presi
ppt for the electronic core students on taffic management system
Intelligence traffic management system for metrocities
Intelligence traffic management system for metrocities
ramesh chatty
KA6423 P57600 Assignment 4
KA6423 P57600 Assignment 4
armada7000
Vehicle detection through image processing
Vehicle detection through image processing
Ghazalpreet Kaur
An efficient traffic management system is needed in all kinds of roads, such as off roads, highways, etc... Though several laws and speed controller has been attached to the vehicles, Speed limit may vary from road to road. Still Traffic management system faces different kinds of challenges everyday and its being a research area though number of proposals has been identified. Many numbers of methods has been proposed in computer Vision and machine learning approaches for object tracking. In this paper vehicles are identified and detected using a videos that taken from surveillance camera. The objective of the present work is to identification of the vehicles is done by using Computer vision technique and detection of vehicles using Haar cascade classifier. Detecting the vehicles using machine learning and estimating speed is tough but beneficial task. For the past few tears Convolution Neural Network CNN has been widely used in computer vision for vehicle detection and identification. This method manages to track multiple objects at real time using dlibs. P. Devi Mahalakshmi | Dr. M. Babu "Vehicle Speed Estimation using Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29482.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29482/vehicle-speed-estimation-using-haar-classifier-algorithm/p-devi-mahalakshmi
Vehicle Speed Estimation using Haar Classifier Algorithm
Vehicle Speed Estimation using Haar Classifier Algorithm
ijtsrd
Intelligent urban traffic control system
Intelligent urban traffic control system
mustafa_talib_yousif
This is a overview of currently available adaptive signal control systems in the US, presented by authors at the WSDOT Traffic Engineers annual meeting, May 2016, Leavenworth, WA.
Adaptive Traffic Control Systems Overview
Adaptive Traffic Control Systems Overview
Ali Goudarz Eghtedari, PhD, PE, PTOE
SIE 250 Final Report
SIE 250 Final Report
Qisong Xiao
ATMS was introduced as an integrated traffic management and rescue console. The traffic management and rescue console, under the leadership of the ATMS control center, is intended to introduce an automated check-list based approach to ensure an integrated and efficient service delivery to the various stakeholders to prevent accidents.
Advance Traffic management system
Advance Traffic management system
Trafiksol ITS Technologies Pvt. Ltd
Vehicle detection
Vehicle detection
Evangelos Skodras
In this presentation, Shilpa introduces automation of traffic signals and trends in that area. Shipa's interest areas lie in the same domain as she hopes to decongest roads and save precious lives.
Automation on Traffic Signals
Automation on Traffic Signals
Mphasis
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Emmanuel Oshogwe Akpeokhai
ppt
ppt
Neelima Devalla
pkl
Density based-traffic-signal-system
Density based-traffic-signal-system
PAVAN KUMAR ILLA
Intelligent Traffic Management System
Intelligent Traffic Management
Intelligent Traffic Management
Ramakrishna Prasad Sakhamuri
Mobile Phone Based Drunk driving detection
Mobile Phone Based Drunk driving detection
nagarajc007
Vehicle Detection using Camera Vehicle Detection Using Cameras for Self-Driving Cars | Using machine learning and computer vision I create a pipeline that detects nearby vehicles from a dash-cam.
Vehicle Detection using Camera
Vehicle Detection using Camera
Shubham Agrahari
https://www.irjet.net/archives/V5/i6/IRJET-V5I668.pdf
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
IRJET Journal
THE DESIGN AND IMPLEMENTATION OF A FOUR – WAY TRAFFIC LIGHT
THE DESIGN AND IMPLEMENTATION OF A FOUR – WAY TRAFFIC LIGHT
Stephen Achionye
My new upload !!! --> http://www.slideshare.net/choleraparth91/smart-vehicle-ensuring-safe-ride-using-accerolometer-laser-sensor-co-sensor-and-also-with-use-of-gsm-modem-and-solar-panel Contact & follow me to get PDF & PPT file - https://www.linkedin.com/in/parthcholera/ Email me directly if you want these file !! choleraparth91@yahoo.com or contact me on fb - https://www.facebook.com/choleraparth91 or https://www.facebook.com/Textivity or message me on - 08097508067 I suggest to go for these project !!! :D :D
Traffic light controller
Traffic light controller
" Its-CooL " is said " Iskool "
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This project is based on Geographic Information System (GIS). traffic signal can be controlled by using this method . We can avoid traffic jam, alternative path for user is genrated , no emergency vehicle is stuck in traffic.
Traffic signal control management based on integrating GIS and WSN technology
Traffic signal control management based on integrating GIS and WSN technology
krushna kotgire
Traffic signal management system report
Traffic management system
Traffic management system
Sayyed Shozib Abbas
Traffic information system
Traffic information system
Presi
ppt for the electronic core students on taffic management system
Intelligence traffic management system for metrocities
Intelligence traffic management system for metrocities
ramesh chatty
KA6423 P57600 Assignment 4
KA6423 P57600 Assignment 4
armada7000
Vehicle detection through image processing
Vehicle detection through image processing
Ghazalpreet Kaur
An efficient traffic management system is needed in all kinds of roads, such as off roads, highways, etc... Though several laws and speed controller has been attached to the vehicles, Speed limit may vary from road to road. Still Traffic management system faces different kinds of challenges everyday and its being a research area though number of proposals has been identified. Many numbers of methods has been proposed in computer Vision and machine learning approaches for object tracking. In this paper vehicles are identified and detected using a videos that taken from surveillance camera. The objective of the present work is to identification of the vehicles is done by using Computer vision technique and detection of vehicles using Haar cascade classifier. Detecting the vehicles using machine learning and estimating speed is tough but beneficial task. For the past few tears Convolution Neural Network CNN has been widely used in computer vision for vehicle detection and identification. This method manages to track multiple objects at real time using dlibs. P. Devi Mahalakshmi | Dr. M. Babu "Vehicle Speed Estimation using Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29482.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29482/vehicle-speed-estimation-using-haar-classifier-algorithm/p-devi-mahalakshmi
Vehicle Speed Estimation using Haar Classifier Algorithm
Vehicle Speed Estimation using Haar Classifier Algorithm
ijtsrd
Intelligent urban traffic control system
Intelligent urban traffic control system
mustafa_talib_yousif
This is a overview of currently available adaptive signal control systems in the US, presented by authors at the WSDOT Traffic Engineers annual meeting, May 2016, Leavenworth, WA.
Adaptive Traffic Control Systems Overview
Adaptive Traffic Control Systems Overview
Ali Goudarz Eghtedari, PhD, PE, PTOE
SIE 250 Final Report
SIE 250 Final Report
Qisong Xiao
ATMS was introduced as an integrated traffic management and rescue console. The traffic management and rescue console, under the leadership of the ATMS control center, is intended to introduce an automated check-list based approach to ensure an integrated and efficient service delivery to the various stakeholders to prevent accidents.
Advance Traffic management system
Advance Traffic management system
Trafiksol ITS Technologies Pvt. Ltd
Vehicle detection
Vehicle detection
Evangelos Skodras
In this presentation, Shilpa introduces automation of traffic signals and trends in that area. Shipa's interest areas lie in the same domain as she hopes to decongest roads and save precious lives.
Automation on Traffic Signals
Automation on Traffic Signals
Mphasis
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Emmanuel Oshogwe Akpeokhai
ppt
ppt
Neelima Devalla
pkl
Density based-traffic-signal-system
Density based-traffic-signal-system
PAVAN KUMAR ILLA
Intelligent Traffic Management System
Intelligent Traffic Management
Intelligent Traffic Management
Ramakrishna Prasad Sakhamuri
Mobile Phone Based Drunk driving detection
Mobile Phone Based Drunk driving detection
nagarajc007
Vehicle Detection using Camera Vehicle Detection Using Cameras for Self-Driving Cars | Using machine learning and computer vision I create a pipeline that detects nearby vehicles from a dash-cam.
Vehicle Detection using Camera
Vehicle Detection using Camera
Shubham Agrahari
https://www.irjet.net/archives/V5/i6/IRJET-V5I668.pdf
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
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Traffic signal control management based on integrating GIS and WSN technology
Traffic signal control management based on integrating GIS and WSN technology
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Traffic management system
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Intelligence traffic management system for metrocities
Intelligence traffic management system for metrocities
KA6423 P57600 Assignment 4
KA6423 P57600 Assignment 4
Vehicle detection through image processing
Vehicle detection through image processing
Vehicle Speed Estimation using Haar Classifier Algorithm
Vehicle Speed Estimation using Haar Classifier Algorithm
Intelligent urban traffic control system
Intelligent urban traffic control system
Adaptive Traffic Control Systems Overview
Adaptive Traffic Control Systems Overview
SIE 250 Final Report
SIE 250 Final Report
Advance Traffic management system
Advance Traffic management system
Vehicle detection
Vehicle detection
Automation on Traffic Signals
Automation on Traffic Signals
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
Speed Detection Of Moving Vehicles (Using Traffic Enforcement Camera)
ppt
ppt
Density based-traffic-signal-system
Density based-traffic-signal-system
Intelligent Traffic Management
Intelligent Traffic Management
Mobile Phone Based Drunk driving detection
Mobile Phone Based Drunk driving detection
Vehicle Detection using Camera
Vehicle Detection using Camera
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
Destaque
THE DESIGN AND IMPLEMENTATION OF A FOUR – WAY TRAFFIC LIGHT
THE DESIGN AND IMPLEMENTATION OF A FOUR – WAY TRAFFIC LIGHT
Stephen Achionye
My new upload !!! --> http://www.slideshare.net/choleraparth91/smart-vehicle-ensuring-safe-ride-using-accerolometer-laser-sensor-co-sensor-and-also-with-use-of-gsm-modem-and-solar-panel Contact & follow me to get PDF & PPT file - https://www.linkedin.com/in/parthcholera/ Email me directly if you want these file !! choleraparth91@yahoo.com or contact me on fb - https://www.facebook.com/choleraparth91 or https://www.facebook.com/Textivity or message me on - 08097508067 I suggest to go for these project !!! :D :D
Traffic light controller
Traffic light controller
" Its-CooL " is said " Iskool "
Railway traffic opimization using Genetic algorithm & Fuzzy seach
Major 2 final prsesentation
Major 2 final prsesentation
Siddharth Bharadwaj
Traffic light controller
Traffic light controller
chandreshghodasara
Smart traffic light with designed sensor principle
Traffic light controller
Traffic light controller
Eng Ahmed Salad Osman
Traffic light controller
Traffic light controller
nimmi_abes
Traffic Light Control
Traffic Light Control
hoadktd
TRAFFIC LIGHT CONTROLLER BY USING ATMEGA8 CONTROLLER
Traffic light controller
Traffic light controller
Srikanth Kaleru
DENSITY BASED TRAFFIC LIGHT CONTROLLER
DENSITY BASED TRAFFIC LIGHT CONTROLLER BY SAIKIRAN PANJALA
DENSITY BASED TRAFFIC LIGHT CONTROLLER BY SAIKIRAN PANJALA
Saikiran Panjala
a traffic light system presentation
Traffic light controller
Traffic light controller
Shubham Sharma
Density based Traffic Light Controller using Microcontroller
Density based Traffic Light Controller
Density based Traffic Light Controller
Sophia
smart traffic light controller makes use of 8051 microcontroller and enhancements may be of automatic street light, solar panel, CCTV camera etc.
Smart Traffic Light Controller
Smart Traffic Light Controller
Himanshi_Sharma
Application of fuzzy logic
Application of fuzzy logic
Application of fuzzy logic
Viraj Patel
complete documentation of "Design of FPGA based traffic light controller system"
design of FPGA based traffic light controller system
design of FPGA based traffic light controller system
Vinny Chweety
A minor project report on Traffic Light Controller using 8051(AT89C51) micro controller.
Traffic light controller
Traffic light controller
Rkrishna Mishra
Destaque
(15)
THE DESIGN AND IMPLEMENTATION OF A FOUR – WAY TRAFFIC LIGHT
THE DESIGN AND IMPLEMENTATION OF A FOUR – WAY TRAFFIC LIGHT
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Traffic Light Control
Traffic light controller
Traffic light controller
DENSITY BASED TRAFFIC LIGHT CONTROLLER BY SAIKIRAN PANJALA
DENSITY BASED TRAFFIC LIGHT CONTROLLER BY SAIKIRAN PANJALA
Traffic light controller
Traffic light controller
Density based Traffic Light Controller
Density based Traffic Light Controller
Smart Traffic Light Controller
Smart Traffic Light Controller
Application of fuzzy logic
Application of fuzzy logic
design of FPGA based traffic light controller system
design of FPGA based traffic light controller system
Traffic light controller
Traffic light controller
Semelhante a Traffic Light Control
How will self-driving cars change urban mobility patterns? This talk examines scientific contributions in the field of reinforcement learning, presented in the context of enabling mixed-autonomy mobility—the gradual and complex integration of autonomous vehicles into existing traffic systems. We explore the potential impact of a small fraction of autonomous vehicles on low-level traffic flow dynamics, using novel techniques in model-free deep reinforcement learning. We share examples in the context of a new open-source computational platform and state-of-the-art microsimulation tools with deep-reinforcement libraries.
The Future of Mixed-Autonomy Traffic (AIS302) - AWS re:Invent 2018
The Future of Mixed-Autonomy Traffic (AIS302) - AWS re:Invent 2018
Amazon Web Services
Abstract: Nowadays, with the social progress and economic development, the transport is playing a pivotal role in cities. The main problem is the traffic jams due to vehicle congestion phenomena at intersection. To solve this problem an intelligent traffic control system that continuously sensing and monitoring traffic conditions and adjusting the timing of traffic lights according to the actual traffic load must be implemented. At present , a variety of traffic control has been designed using electrical technologies.Traffic load is highly dependent on parameters such as day-time , season weather and unpredictable situationssuch as accidents, special events or construction activities, these parameters will cause delay on the traffic flow. The traffic system in Libya is still controlled by old fashion ( i.e equally time interval signal control)and no intelligent system used to monitor and control the traffic flow. The scope of this paper is to review the main Intelligent controllerswhich used in smart traffic systems. Keywords: Traffic, Intelligent control, Programmable logic, Neural network, Fuzzy logic
A Brief review to the intelligent controllerswhich used to control trafficflow
A Brief review to the intelligent controllerswhich used to control trafficflow
journal ijrtem
Abstract: Now-a-days the Automatic control has been increasingly implemented for vehicle control system. Especially the steering control is essential for preventing accidents. In the existing systems there is no fully automatic steering control and it has serious problems. When it is made automatic, the system complexity is more. So, the shared steering concept is used in the proposed system to avoid accidents. In this, the position of the road is found using the web camera installed in front of the vehicle which is connected to the PC installed with MATLAB. Using MATLAB the image is processed to check the road characteristics. This paper presents an advanced driver assistance system (ADAS) for lane keeping, together with an analysis of its performance and stability with respect to variations in driver behavior. The automotive ADAS proposed is designed to share control of the steering wheel with the driver in the best possible way. Its development was derived from an H2-Preview optimization control problem, which is based on a global driver–vehicle–road (DVR) system. The DVR model makes use of a cybernetic driver model to take into account any driver–vehicle interactions. Such a formulation allows 1) Considering driver assistance cooperation criteria in the control synthesis, 2) improving the performance of the assistance as a cooperative copilot, and 3) analyzing the stability of the whole system in the presence of driver model uncertainty. The developed assistance system improved lane-keeping performance and reduced the risk of a lane departure accident. Good results were obtained using several criteria for human–machine cooperation. Poor stability situations were successfully avoided due to the robustness of the whole system, in spite of a large range of driver model uncertainty.
Shared Steering Control between a Driver and an Automation: Stability in the ...
Shared Steering Control between a Driver and an Automation: Stability in the ...
paperpublications3
Seminar sib final
Seminar sib final
Sunil Gyawali
Traffic Light
Design and-analysis-of-a-two-stage-traffic-light-system-using-fuzzy-logic-216...
Design and-analysis-of-a-two-stage-traffic-light-system-using-fuzzy-logic-216...
hanhdoduc
This work proposes a solution for the output feedback trajectory-tracking problem in the case of an uncertain DC servomechanism system. The system consists of a pendulum actuated by a DC motor and subject to a time-varying bounded disturbance. The control law consists of a Proportional Derivative controller and an uncertain estimator that allows compensating the effects of the unknown bounded perturbation. Because the motor velocity state is not available from measurements, a second-order sliding-mode observer permits the estimation of this variable in finite time. This last feature allows applying the Separation Principle. The convergence analysis is carried out by means of the Lyapunov method. Results obtained from numerical simulations and experiments in a laboratory prototype show the performance of the closed loop system.
Output feedback trajectory stabilization of the uncertainty DC servomechanism...
Output feedback trajectory stabilization of the uncertainty DC servomechanism...
ISA Interchange
Machine Learning and Optimization For Traffic and Emergency ...
Machine Learning and Optimization For Traffic and Emergency ...
butest
smart traffic light
Comp prese (1)
Comp prese (1)
Mohmmad Khasawneh
Used Kerner three-phase traffic theory to establishing an Intelligent Traffic System that will provide automatic management of traffic lights based on the concept of the Internet of Things which will resolve the traffic jam issues which will in turn reduce CO2 emissions and also the mobility metrics like the travel time.
An IoT based Dynamic Traffic Signal Control
An IoT based Dynamic Traffic Signal Control
GauthamSK4
iot based heavy vehicle speed controller
Ijett v5 n1p108
Ijett v5 n1p108
Athulya MB
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Jd3416591661
Jd3416591661
IJERA Editor
Presentation given during the DITCM event on the 30th of March.
Ditcm 30 maart
Ditcm 30 maart
Serge Hoogendoorn
Design of intelligent traffic light controller using gsm & embedded system
Design of intelligent traffic light controller using gsm & embedded system
Design of intelligent traffic light controller using gsm & embedded system
Yakkali Kiran
In this study, in a computer the dynamic motion modelling of manipulator and control of trajectory with an algorithm this has been tested. First after dynamic motion simulation of manipulator has been made MPC Control. The result in this study we can observe that computed torque method gives better results than MPC methods. So in trajectory control it is approved of using computed torque method. In last part of this study the results are estimated forward development are exemined and suggested. The model predictive control (MPC) technique for an articulated robot with n joints is introduced in this paper. The proposed MPC control action is conceptually different with the trajectory robot control methods in that the control action is determined by optimising a performance index over the time horizon. A neural network (NN) is used in this paper as the predictive model.
Trajectory Control With MPC For A Robot Manipülatör Using ANN Model
Trajectory Control With MPC For A Robot Manipülatör Using ANN Model
IJMER
https://irjet.net/archives/V4/i7/IRJET-V4I7527.pdf
Traffic Lights Control System for Indian Cities using WSN and Fuzzy Control
Traffic Lights Control System for Indian Cities using WSN and Fuzzy Control
IRJET Journal
IOSR Journal of Engineering (IOSR-JEN) Volume 4 Issue 10 Version 2
G041024547
G041024547
IOSR-JEN
In this paper, a mathematical model and a controller for a DC motor are developed for the construction of an in-wheel motor. In-wheel motors can be used in hybrid electric vehicles to provide traction force of front or rear wheels. The model identification is achieved using a simple and low cost data acquisition system. An Arduino Uno embedded board system is used to collect data from sensors to a computer and for control purposes. Data processing is performed using Matlab/Simulink. Validations of the devel oped mathematical model and controller performance are carried out by comparing simulation and experimental results. The results obtained show that the mathematical model is accurate enough to assist in speed controller design and implementation.
Model Validation and Control of an In-Wheel DC Motor Prototype for Hybrid El...
Model Validation and Control of an In-Wheel DC Motor Prototype for Hybrid El...
Scientific Review SR
Session 38 Xiaoliang Ma
Session 38 Xiaoliang Ma
Transportforum (VTI)
Multivariable systems exhibit complex dynamics because of the interactions between input variables and output variables. In this paper an approach to design auto tuned decentralized PI controller using ideal decoupler and adaptive techniques for controlling a class of multivariable process with a transmission zero. By using decoupler, the MIMO system is transformed into two SISO systems. The controller parameters were adjusted using the Model Reference Adaptive reference Control. In recent process industries, PID and MRAC are the two widely accepted control strategies, where PID is used at regulatory level control and MRAC at supervisory level control. In this project, LabVIEW is used to simulate the PID with Decoupler and MRAC separately and analyze their performance based on steady state error tracking and overshoot.
Analysis and Modeling of PID and MRAC Controllers for a Quadruple Tank System...
Analysis and Modeling of PID and MRAC Controllers for a Quadruple Tank System...
dbpublications
Academic Paper Writing Service http://StudyHub.vip/A-Structure-Of-Problem-Solving-Methods- 👈
A Structure Of Problem-Solving Methods For Real-Time Decision Support Modeli...
A Structure Of Problem-Solving Methods For Real-Time Decision Support Modeli...
Jennifer Strong
Semelhante a Traffic Light Control
(20)
The Future of Mixed-Autonomy Traffic (AIS302) - AWS re:Invent 2018
The Future of Mixed-Autonomy Traffic (AIS302) - AWS re:Invent 2018
A Brief review to the intelligent controllerswhich used to control trafficflow
A Brief review to the intelligent controllerswhich used to control trafficflow
Shared Steering Control between a Driver and an Automation: Stability in the ...
Shared Steering Control between a Driver and an Automation: Stability in the ...
Seminar sib final
Seminar sib final
Design and-analysis-of-a-two-stage-traffic-light-system-using-fuzzy-logic-216...
Design and-analysis-of-a-two-stage-traffic-light-system-using-fuzzy-logic-216...
Output feedback trajectory stabilization of the uncertainty DC servomechanism...
Output feedback trajectory stabilization of the uncertainty DC servomechanism...
Machine Learning and Optimization For Traffic and Emergency ...
Machine Learning and Optimization For Traffic and Emergency ...
Comp prese (1)
Comp prese (1)
An IoT based Dynamic Traffic Signal Control
An IoT based Dynamic Traffic Signal Control
Ijett v5 n1p108
Ijett v5 n1p108
Jd3416591661
Jd3416591661
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Ditcm 30 maart
Design of intelligent traffic light controller using gsm & embedded system
Design of intelligent traffic light controller using gsm & embedded system
Trajectory Control With MPC For A Robot Manipülatör Using ANN Model
Trajectory Control With MPC For A Robot Manipülatör Using ANN Model
Traffic Lights Control System for Indian Cities using WSN and Fuzzy Control
Traffic Lights Control System for Indian Cities using WSN and Fuzzy Control
G041024547
G041024547
Model Validation and Control of an In-Wheel DC Motor Prototype for Hybrid El...
Model Validation and Control of an In-Wheel DC Motor Prototype for Hybrid El...
Session 38 Xiaoliang Ma
Session 38 Xiaoliang Ma
Analysis and Modeling of PID and MRAC Controllers for a Quadruple Tank System...
Analysis and Modeling of PID and MRAC Controllers for a Quadruple Tank System...
A Structure Of Problem-Solving Methods For Real-Time Decision Support Modeli...
A Structure Of Problem-Solving Methods For Real-Time Decision Support Modeli...
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
We will showcase how you can build a RAG using Milvus. Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
Zilliz
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
wesley chun
In the thrilling conclusion to 2023, ransomware groups had a banner year, really outdoing themselves in the "make everyone's life miserable" department. LockBit 3.0 took gold in the hacking olympics, followed by the plucky upstarts Clop and ALPHV/BlackCat. Apparently, 48% of organizations were feeling left out and decided to get in on the cyber attack action. Business services won the "most likely to get digitally mugged" award, with education and retail nipping at their heels. Hackers expanded their repertoire beyond boring old encryption to the much more exciting world of extortion. The US, UK and Canada took top honors in the "countries most likely to pay up" category. Bitcoins were the currency of choice for discerning hackers, because who doesn't love untraceable money?
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
Overkill Security
Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Igalia
Scalable LLM APIs for AI and Generative AI Application Development Ettikan Karuppiah, Director/Technologist - NVIDIA Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
apidays
Terragrunt, Terraspace, Terramate, terra... whatever. What is wrong with Terraform so people keep on creating wrappers and solutions around it? How OpenTofu will affect this dynamic? In this presentation, we will look into the fundamental driving forces behind a zoo of wrappers. Moreover, we are going to put together a wrapper ourselves so you can make an educated decision if you need one.
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
We present an architecture of embedding models, vector databases, LLMs, and narrow ML for tracking global news narratives across a variety of countries/languages/news sources. As an example, we explore the real-time application of this architecture for tracking the news narrative surrounding the death of Russian opposition leader Alexei Navalny coming from Russian, French, and English sources.
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Zilliz
Copy of the slides presented by Matt Robison to the SFWelly Salesforce user group community on May 2 2024. The audience was truly international with attendees from at least 4 different countries joining online. Matt is an expert in data cloud and this was a brilliant session.
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
This reviewer is for the second quarter of Empowerment Technology / ICT in Grade 11
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
MadyBayot
Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
apidays
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Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
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