Estimating the impacts of autonomous vehicles
Nationwide, United States
Platoon-Based Multi-Agent Intersection Management for Connected Vehicle
Summary Information
This paper examined the use of platoon-based multi-agent intersection management systems to improve overall network performance in terms of mobility and environmental sustainability. Using connected vehicle technologies the proposed system would allow vehicle agents to communicate and form platoons when needed to increase signal system efficiency.
EVALUATION METHODOLOGY
A Simulation of Urban Mobility (SUMO) model was used to evaluate three different intersection management scenarios at an isolated intersection.
- Conventional fixed-time traffic light control (TLC) system
- Non-platoon-based multi-agent (NPB) system
- Platoon-based multi-agent (PB) system.
The performance of a PB system using automated vehicles (with connected vehicles technology) was compared to the performance of a conventional TLC system and a NPB system under high, medium, and low traffic volume conditions.
FINDINGS
The table below derived from the source report summarized the relative reductions in average travel times. Under different traffic volumes, the PB system reduced average travel times by 12 to 30 percent, and 4 to 8 percent compared to the TLC system and NPB system, respectively.
Traffic Volume |
1,080 (veh/hr)
|
1,800 (veh/hr)
|
2,880 (veh/hr)
|
---|---|---|---|
PB vs TLC |
11.60%
|
22.50%
|
30.00%
|
PB vs NPB |
4.00%
|
6.00%
|
8.30%
|