Traffic Patterns for Intelligent Vehicles in the Intersection

Authors

Wang Jian, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;
Feng Qi, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;
Xiaowei Hu, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;

Abstract

Abstract: With the applications of GPS/DR/MM integrated positioning technology and vehicle infrastructure integration technology, three traffic patterns with which intelligent vehicles go through the intersection are put forward. These three traffic patterns include signal lights adaptive traffic pattern, vehicle self-organizing traffic pattern and vehicle infrastructure integration traffic pattern. They can reduce vehicle delay, avoid traffic conflicts, decrease the probability of traffic accidents, improve traffic efficiency and realize the barrier-free accessibility of intelligent vehicles to the intersection. According to the parameters such as vehicles arrival rate, critical velocity and the average vehicle spacing, a clearance movement model and a circular path model are established respectively in view of these three traffic patterns.

Recommended Citation

Jian, Wang; Qi, Feng; and Hu, Xiaowei (2019) "Traffic Patterns for Intelligent Vehicles in the Intersection," Journal of System Simulation: Vol. 31: Iss. 2, Article 5.
DOI: 10.16182/j.issn1004731x.joss.17WJP-004
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss2/5

First Page

199

Revised Date

2016-12-13

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17WJP-004

Last Page

211

CLC

TP391.9

Recommended Citation

Wang Jian, Feng Qi, Hu Xiaowei. Traffic Patterns for Intelligent Vehicles in the Intersection[J]. Journal of System Simulation, 2019, 31(2): 199-211.

DOI

10.16182/j.issn1004731x.joss.17WJP-004