Gongjun Yan, Stephan Olariu, Michele C. Weigle and Mahmoud Abuelela, “SmartParking: A Secure and Intelligent Parking System Using NOTICE,” In Proceedings of the International IEEE Conference on Intelligent Transportation Systems. Beijing, China, October 2008, pp. 569–574.

1. Introduction
The SmartParking
SmartParking: A Secure and Intelligent
Parking System Using NOTICE
Professor: Dr. Stephan Olariu
September 5, 2008
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

2. Introduction
The SmartParking
Introduction
Parking is limited in major cities
Manhattan Central Business District: approximately rate 1
spot : 16 workers
Often parking spots are wasted.
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

3. Introduction
The SmartParking
Continued ...
Near-term parking demand: innovative parking systems
New technologies can help: wireless communications,
computer, control, and electronics technologies.
We propose SmartParking
A novel, secure and intelligent parking system
Using framework of NOTICE [WO07, AOW08]
Prevents most security/privacy attacks
View and reserve a parking spot on the fly
The parking process can be a straightforward and non-stop
process.
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

4. Introduction
The SmartParking
NOTICE
Embedding sensor belts in the road at regular intervals
Piezoelectric pressure sensors
Every message is carried by a physical vehicle passing
over the belt
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

5. Introduction
The SmartParking
SmartParking Layout
Vacant parking capacity information received at Si -bi
Vehicles pick up the capacity information at belt bi .
Reservation orders sent at bi+1 and bi+2 . Reservation
feedback received at bi+3
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

6. Introduction
The SmartParking
SmartParking Layout
Vacant parking capacity information received at Si -bi
Vehicles pick up the capacity information at belt bi .
Reservation orders sent at bi+1 and bi+2 . Reservation
feedback received at bi+3
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

7. Introduction
The SmartParking
SmartParking Layout
Vacant parking capacity information received at Si -bi
Vehicles pick up the capacity information at belt bi .
Reservation orders sent at bi+1 and bi+2 . Reservation
feedback received at bi+3
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

8. Introduction
The SmartParking
User Interface
User terminals (e.g. PDAs, cell phones, vehicle display,
and laptops)
Slot L3-4 is selected.
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

9. Introduction
The SmartParking
Check in
Belt & infrared are used for double check
Light is for signal misparking, idle, or normal-parking.
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

10. Introduction
The SmartParking
Parking Chain
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

11. Introduction
The SmartParking
continued ...
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

12. Introduction
The SmartParking
Simulation
Scenario one:
First-come-first-serve
Arrive at or exit: Poisson Process
If divers can not find a parking spot, try 3 time before give
up
Scenario Two (SmartParking):
Reserve a parking spot
Arrive at or exit: the same Poisson Process
1% of drivers will mispark; the remaining 99% of drivers
obey the reservation
Common Parameters:
The average arrival rate is 0.5 vehicle/min [AK94]
2000 parking spots
The simulation parameters and values are listed in Table
11.
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

13. Introduction
The SmartParking
Parameters and Values
Parameters Values
Exit booth service rate 5 vehicles/min
Entry booth service rate 20 vehicles/min
Number of exit booths 5
Number of entry booths 1
Average arrival rate 0.5 vehicle/min
Average exit rate 0.5 vehicle/min
Average parking time 1.5 hour
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

14. Introduction
The SmartParking
Parking Spot Searching Time
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

15. Introduction
The SmartParking
Parking Utilization
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO

16. Introduction
The SmartParking
Reference
Y. Asakura and M. Kashiwadani.
Effects of parking availability information on system
performance:a simulation model approach.
In Proceedings of Vehicle Navigation and Information
Systems Conference, pages 251–254, Dearborn, MI, Aug
1994.
M. Abuelela, S. Olariu, and M. C. Weigle.
NOTICE: An architecture for notification of traffic incidents.
In Proceedings of the IEEE Vehicular Technology
Conference - Spring, pages 3001–3005, Singapore, May
2008.
M. C. Weigle and S. Olariu.
Intelligent highway infrastructure for planned evacuations.
In Proceedings of the First International Workshop on
Research Challenges in Next Generation Networks for First
Responders and Critical InfrastructuresSecure and Intelligent Parking System Using NO
Professor: Dr. Stephan Olariu SmartParking: A (NetCri), pages

17. Introduction
The SmartParking
Thank you!
Professor: Dr. Stephan Olariu SmartParking: A Secure and Intelligent Parking System Using NO