Spatial Analysis of Taxi Speeding Event Using GPS Trajectory Data

Chuanyun Fu1, Yue Zhou1, Chuan Xu1, Haipeng Cui2

  • 1Southwest Jiaotong University
  • 2Tongji University

Details

11:45 - 12:00 | Mon 28 Oct | Crystal Room I | MoC-T5.4

Session: Special Session on Big Data and Emerging Technologies for Traffic Safety Improvement (I)

Full Text

Digital Library Website

Abstract

GPS-equipped taxis can generate large-scale trajectory data which enables scholars to uncover taxi abnormal behaviors, such as speeding. Hence, this study intends to disclose the characteristics of taxi speeding event (SE), identify the spatial factors impacting the frequency of taxi SE, using 5,757 taxis’ GPS trajectory data in a part of the central area of Chengdu city from November 1 to November 30, 2016, along with speed limit data, electronic map data, etc. By comparing the calculated travel speeds with speed limits, taxi SEs were identified and categorized into five groups: SE (