Analysis of Urban Traffic Based on Taxi GPS Data

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 279)

Abstract

Recently, the problem of traffic jam in major cities is getting worse. By leveraging the taxi GPS data of Shenzhen, this paper analyzes the urban traffic status and proposes rational suggestions for urban traffic management. In particular, this paper firstly presents the get-on and get-off points on GIS map based on taxi GPS data. Secondly, by using K-Means algorithm to allocate urban traffic cells, the hot areas where passenger flow is huge are pointed out. Finally, based on the taxi speed, we locate the crowded area and find the crowded period, then analyze the reasons that cause the traffic jam and propose rational suggestions for urban traffic management.

Keywords

GPS data clustering algorithm map matching traffic analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Li Meng
    • 1
    • 2
  • Li Ru-tong
    • 1
    • 2
  • Xia Yong
    • 1
  • Qin Zhi-guang
    • 1
  1. 1.School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.Key Laboratory of Calculation and Application Service of ShenzhenPopular High Performance Computers of Guangdong ProvinceShenzhenChina

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