1. LAND-USE CLASSIFICATION USING TAXI GPS TRACES
ABSTRACT
Detailed land use, which is difficult to obtain, is an integral part of urban planning.
Currently, GPS traces of vehicles are becoming readily available. It conveys human mobility
and activity information, which can be closely related to the land useof a region. This paper
discusses the potential use of taxi tracesfor urban land-use classification, particularly for
recognizing the social function of urban land by using one year’s trace datafrom 4000 taxis.
First, we found that pick-up/set-down dynamics,extracted from taxi traces, exhibited clear
patterns correspondingto the land-use classes of these regions. Second, with six
featuresdesigned to characterize the pick-up/set-down pattern, land-useclasses of regions
could be recognized. Classification results using the best combination of features achieved a
recognition accuracyof 95%. Third, the classification results also highlighted regionsthat
changed land-use class from one to another and such land-useclass transition dynamics of
regions revealed unusual real-worldsocial events. Moreover, the pick-up/set-down dynamics
couldfurther reflect to what extent each region is used as a certain class.
EXISTING SYSTEM
LAND-USE classification is an important aspect of urbanplanning. It is defined as the
recognized human use of landin a city. The granularity of land area in land-use
classificationranges from buildings to administrative zones. The concept ofland use has been
evolving for tens of years from ecological vegetation to urban land use and from coarse
classes to detailed classes. Early research on land-use classificationattempted to recognize
different ecological vegetation such asforests and wetlands. Such land-use classification has

2. broadapplications in ecology, studies on the relationship betweenurbanization and
deforestation, and farmland changes.Later studies classified urban land into built-up andnonbuilt-up lands to delineate urban region and model urbangrowth.
PROPOSED SYSTEM
In this project, we are implementing the Real-time GPS Mapping in Google
Map,Land-Use Classification Using Taxi GPS Traces.First, we cannot address regions that
have few taxi passengers.The taxi passenger flow is only a small part of the wholehuman
flow and these results in some regions having fewerpassengers. However, if the trace data of
personal cars are available, our method can be easily applied to complementary trace data to
handle more regions. Second, our work currently only addresses regions with pure land use.
We do not consider regions with multiple land-use classes, which will be focus of future
work.
HARDWARE REQURIMENT
1. ARM-MICROCONTROLLER
2. ZIGBEE
3. GPS
4. GPRS Wireless Transmission Module
5. PC
6. POWER SUPPLY
SOFTWARE REQURIMENT
1. KIEL IDE
2. FLASH MAGIC
3. EMBEDDED-C

3. BLOCK DIAGRAM
GPS
MICROCONTROLLER
ZIGBEE
ZIGBEE
ARM
MICROCONTROLLER
PC
(VB.NET)
GPRS Wireless
Transmission Module
GPRS Wireless
Transmission
Module