A connected automated-vehicle velocity control and separation strategy improved the performance of platoons on a signalized arterial reducing travel times by 19.2 percent.
A transportation research modeling effort.
Made Public Date
07/27/2018

893

Nanjing
China
Identifier
2018-01284
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A Separation Strategy for Connected and Automated Vehicles: Utilizing Traffic Light Information for Reducing Idling at Red Lights and Improving Fuel Economy

Summary Information

This simulation study used a velocity control and separation strategy algorithm to improve traffic efficiency and reduce fuel consumption at a signalized intersection. The objective function of the model maximized the number of vehicles allowed to pass through an intersection without stopping, even if vehicle speeds did not maximize fuel efficiency. Scenarios modeled included automated vehicles that shared location and velocity status as well as infrastructure traffic signal timing data to support internal decision-making mechanisms as needed to form platoons and drive automatically on signalized arterials.

FINDINGS

The simulation results suggested the proposed strategy effectively improved the performance of platoons. Travel time decreased by 19.2 percent.

A Separation Strategy for Connected and Automated Vehicles: Utilizing Traffic Light Information for Reducing Idling at Red Lights and Improving Fuel Economy

A Separation Strategy for Connected and Automated Vehicles: Utilizing Traffic Light Information for Reducing Idling at Red Lights and Improving Fuel Economy
Publication Sort Date
07/17/2018
Author
Li, Lin-heng; Jing Gan; and Wen-quan Li
Publisher
School of Transportation Southeast University
Goal Areas
Deployment Locations