Path-Based Network Signal Coordination Control Optimization: Multi-Agent System Modeling

EasyChair Preprint 14742

Abstract

Current network coordination control in practice is mainly realized by control subarea partitioning, which fails to describe the intrinsic property of urbanite trip reflected by vehicle paths, while some path-based network coordination control methods depend strongly on given critical paths derived from subjective experience. In this paper, a path-based coordination control optimization model is proposed under a multi-agent control modelling framework. Aiming at minimizing the total delay, network coordination control is realized through agent self-optimization and an optimization iterator describing the interaction between neighboring agents. Evaluation was done through a simulation case with satisfactory results outperforming existing coordination signal control models by over 25%.

Keyphrases: critical path evaluation, multi-agent system, network coordination signal control, nonconvex optimization, path-based delay modeling

@booklet{EasyChair:14742,
  author    = {Jiarong Yao and Chaopeng Tan and Fuliang Li and Keshuang Tang},
  title     = {Path-Based Network Signal Coordination Control Optimization: Multi-Agent System Modeling},
  howpublished = {EasyChair Preprint 14742},
  year      = {EasyChair, 2024}}