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.
Made Public Date
07/23/2018
13
Nationwide
United States
Identifier
2018-01277
A Design of Cooperation between Traffic Signal and Connected Automated Vehicles
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.
FINDINGS
The proposed controller reduced total delay at the intersection by 21.8 percent when compared to the actuated signal controller.
A Design of Cooperation between Traffic Signal and Connected Automated Vehicles
A Design of Cooperation between Traffic Signal and Connected Automated Vehicles
Publication Sort Date
01/01/2018
Publisher
Transportation Research Board
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