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Author:

He, Zhengbing (He, Zhengbing.) | Zheng, Liang (Zheng, Liang.) | Lu, Lili (Lu, Lili.) | Guan, Wei (Guan, Wei.)

Indexed by:

EI SCIE

Abstract:

Imagine in the future that autonomous vehicles coordinated and guided by signal-free autonomous intersections are able to pass through the intersections immediately after the vehicles in the conflicting direction leave. Meanwhile, with the coordination of the autonomous intersections, autonomous vehicles on any approaching lane are able to turn onto any downstream lane, expecting that driving in such a road system, autonomous vehicles can reach their destinations without any on-road lane changes, and high traffic efficiency will be achieved as well as great traffic safety. To draw the picture in detail, this paper designs a signal-free autonomous intersection with all-direction turn lanes (ADTL) under the environment of autonomous vehicles, and proposes a conflict-Avoidance-based approach to coordinate all approaching vehicles in different directions. Communicating with the approaching autonomous vehicles and utilizing the approach, the autonomous ADTL intersection is able to coordinate the approaching vehicles in all directions and guide them to safely and efficiently pass through the intersection. Two simulation scenarios are conducted in a road network with an isolated intersection composed of four three-lane arms. One scenario validates the collision-free design of the system, and the other shows that the designed ADTL intersection outperforms the conventional signal controlled intersection in terms of traffic efficiency, and is potentially better than the autonomous intersection with specific-direction turn lanes. The autonomous ADTL intersection can be an important basis for designing a future autonomous urban road traffic system. © 2016 IEEE.

Keyword:

Automatic guided vehicles Autonomous vehicles Roads and streets Highway planning Efficiency Traffic control Traffic signals

Author Community:

  • [ 1 ] [He, Zhengbing]College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zheng, Liang]School of Traffic and Transportation Engineering, Central South University, Changsha; 410083, China
  • [ 3 ] [Lu, Lili]Faculty of Maritime and Transportation, Ningbo University, Ningbo; 315211, China
  • [ 4 ] [Guan, Wei]College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • [lu, lili]faculty of maritime and transportation, ningbo university, ningbo; 315211, china

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Source :

IEEE Transactions on Intelligent Vehicles

Year: 2018

Issue: 2

Volume: 3

Page: 173-184

8 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 78

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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