Simulation models show that a network of connected vehicles that support platoon-based intersection management applications can reduce average travel times by 30 percent when traffic volume is high.

Estimating the impacts of autonomous vehicles

Date Posted
11/04/2016
Identifier
2016-B01082
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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%
Goal Areas
Results Type
Deployment Locations