Analysis of the homogeneity of driver behaviors at intersections

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Intersections are road traffic accident-prone locations. About 10–40% of the traffic accidents take place at intersections worldwide every year. An intersection in Haidian District, Beijing was surveyed by video survey method, and the survey videos were processed and analyzed. The velocities and trajectories of the vehicles at the intersection were collected. Analysis of the homogeneity of driver behaviors shows that vehicles have the best homogeneity of velocities when passing the stop line and the crosswalk. Right-turning vehicles have the best homogeneity of velocities, left-turning vehicles take the second place, and homogeneity of velocities of straight-going vehicles is the worst. Straight-going vehicles have the best homogeneity of trajectories, right-turning vehicles take the second place, and left-turning vehicles have the worst homogeneity of trajectories. The results provide references for driver behavior modeling at intersections and the development of intersection driving assistant systems.

Original languageEnglish
Title of host publicationGreen Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
EditorsWuhong Wang, Xiaobei Jiang, Klaus Bengler, Xiaobei Jiang
PublisherSpringer Verlag
Pages799-808
Number of pages10
ISBN (Print)9789811035500
DOIs
Publication statusPublished - 2018
Event7th International Conference on Green Intelligent Transportation System and Safety, 2016 - Nanjing, China
Duration: 1 Jul 20164 Jul 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume419
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th International Conference on Green Intelligent Transportation System and Safety, 2016
Country/TerritoryChina
CityNanjing
Period1/07/164/07/16

Keywords

  • Driver behavior
  • Homogeneity
  • Intersection
  • Traffic safety

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