A connected automated-vehicle velocity control and separation strategy improved the performance of platoons on a signalized arterial reducing fuel consumption by 18.1 percent.
A transportation research modeling effort.
Made Public Date

Nanjing, China


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.


The simulation results suggested the proposed strategy effectively improved the performance of platoons. Fuel consumption decreased by 18.1 percent.