A real-time adaptive traffic signal control algorithm supported by connected vehicle data can reduce delay by 6 to 16.6 percent depending on traffic demand and the connected vehicle market penetration rate.

Modification of the Controlled Optimization of Phases algorithm to incorporate connected vehicle communications.

January 2015
Nationwide; United States

Summary Information

Currently, traffic signal control logic depends primarily on data collected by loop detectors. However, with advances in wireless communications technology, vehicles can communicate with each other and infrastructure in the emerging connected vehicle environment. This study presents a real-time adaptive signal phase allocation algorithm using connected vehicle data.


The proposed connected vehicle signal control algorithm is based on improvements of the controlled optimization of phases (COP) algorithm, used in the RHODES adaptive traffic control system, which is based on a sequence of stages. The modified algorithm applies a two-level optimization scheme based on a dual ring controller where phase sequence and duration are simultaneously optimized. Execution of this modified algorithm is dependent on the availability of information from connected vehicles.


Results reflected a range of connected vehicle market penetration rates and traffic demand scenarios. The proposed algorithm outperformed loop actuated control by reducing delay by as much as 6 percent in the low penetration rate case and 16.61 percent in the high penetration rate case.

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A Real-Time Adaptive Signal Phase Allocation Algorithm in a Connected Vehicle Environment

Author: Feng, Yiheng et al.

Published By: Transportation Research Board

Source Date: January 2015



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Goal Areas


Typical Deployment Locations



traffic signals, adaptive signals, V2I, adaptive traffic signal control, controlled optimization of phases, arterial management, connected vehicle communication

Benefit ID: 2018-01257