A signal control system that uses SPaT messages and vehicle trajectory information to advise connected vehicles can reduce fuel consumption up to 58 percent.

This research evaluated the impacts of V2I messaging at intersections to optimize traffic flow.


Summary Information

This research proposed an eco-driving system for an isolated signalized intersection under partially Connected and Automated Vehicles (CAV) environment. This system was designed to prioritize mobility before improving fuel efficiency, and optimize overall traffic flow by optimizing speed profiles for connected and automated vehicles.


Simulation-based before and after evaluation of the proposed design was conducted. The optimal control problem was solved using Pontryagin’s Minimum Principle.


Fuel consumption benefits ranged from 2.02 to 58.01 percent. The CO2 emissions benefits ranged from 1.97 to 33.26 percent. The results reflected variation in market penetration rates for connected and automated vehicles (CAV) and the traffic volume-to-capacity ratio input into the model. Benefits were achieved as the CAV market penetration rate increased until it leveled off at about 40 percent. This suggested that the proposed eco-driving system could be implemented with low market penetration rates for connected and automated vehicles.

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Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment

Author: Jiang, Huifu; Jia Hub; Shi An; Meng Wang; and Byungkyu Brian Park

Published By: Transportation Research Part C Emerging Technologies

Source Date: 6/1/2017


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Typical Deployment Locations

Metropolitan Areas, Rural Areas


Eco-driving, Isolated signalized intersection, Partially connected and automated vehicles, Fuel efficiency, Speed optimization

Benefit ID: 2018-01319