Benefit

Signal optimization model can reduce intersection vehicle delay by 22 percent compared to actuated signal control.

Research develops an eco-traffic signal system that can improve fuel consumption and delays at an isolated intersection using Connected and Automated Vehicle (CAV) Technology.


January 2018
Nationwide; United States


Summary Information

The objective of this study was to further advance the idea of CAV-signal cooperation closer towards real world implementation. The proposed CAV-signal cooperation system consists of an eco-driving process and a mixed-integer linear traffic signal optimization model. The model is a revised and adapted version of the signal priority component in the Multi-Modal Intelligent Traffic Safety System (MMITSS) bundle.

The system was tested only for one case scenario at a common four-leg intersection with eight-movements. Each leg had one left-turn lane and one through/right-turn shared lane. This intersection was simulated with 100% CAV in commercial microscopic simulation tool VISSIM. The proposed control system was then compared with a conventional actuated signal controller.

FINDINGS

The proposed controller reduced total delay at the intersection by 21.8 percent when compared to the actuated signal controller.

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Source

A Design of Cooperation between Traffic Signal and Connected Automated Vehicles

Author: Zamanipour, Mehdi, et al.

Published By: Transportation Research Board

Source Date: January 2018


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Goal Areas

Mobility

Typical Deployment Locations

Metropolitan Areas, Statewide

Keywords

None defined

Benefit ID: 2018-01277