Simulation experiments show that connected and autonomous vehicle signalized intersection coordination systems can reduce fuel consumption by 22.1 to 52.0 percent.
Simulated intersection coordination method for connected and autonomous vehicles with network from Guangzhou, China.
Made Public Date
01/03/2018

856

Guangzhou
China
Identifier
2017-01207
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Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment

Summary Information

This paper presents a coordinated intersection control method in a connected vehicle environment and improves the autonomous intersection management strategy on a simulation test-bed and typical road network in Guangzhou, China, is used to evaluate the proposed method.

Methodology

The road network is divided into three areas: buffer area, core area and free driving area. A buffer-assignment mechanism is developed to cooperatively assign a specific crossing span for an individual autonomous vehicle (AV) and guide each AV to adjust its entry time and corresponding speed in the core area. A set-projection algorithm and a three-segment linear speed profile are used to control the trajectories of the AVs in the buffer area. The performance of the proposed method is evaluated by simulating various traffic conditions on an actual urban network.

Findings

The simulation experiments and sensitivity analyses demonstrate that the proposed intersection coordination method can reduce fuel consumption by 22.1 percent to 52.0 percent deployment-wide.

Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment

Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment
Publication Sort Date
10/25/2017
Author
Lin, Peiqun, et al.
Publisher
IEEE Intelligent Transportation Systems Magazine
Other Reference Number
Volume 9, Issue 4, Winter 2017.

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