Distributed Cooperative Driving in Multi-Intersection Road Networks
Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li

TL;DR
This paper introduces a distributed cooperative driving strategy for multi-intersection road networks, decomposing the problem into manageable sub-problems to improve coordination and efficiency in complex traffic scenarios.
Contribution
It proposes a novel distributed approach that decomposes multi-intersection cooperation into smaller sub-problems with specialized information exchange, addressing limitations of existing isolated intersection algorithms.
Findings
Demonstrates improved efficiency and reduced complexity in simulations
Effective coordination between adjacent areas achieved
Strategy performs well under various traffic demands
Abstract
Cooperative driving at isolated intersections attracted great interest and had been well discussed in recent years. However, cooperative driving in multi-intersection road networks remains to be further investigated, because many algorithms for isolated intersection cannot be directly adopted for road networks. In this paper, we propose a distributed strategy to appropriately decompose the problem into small-scale sub-problems that address vehicle cooperation within limited temporal-spatial areas and meanwhile assure appropriate coordination between adjacent areas by specially designed information exchange. Simulation results demonstrate the efficiency-complexity balanced advantage of the proposed strategy under various traffic demand settings.
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Taxonomy
TopicsTraffic control and management · Transportation Planning and Optimization · Vehicular Ad Hoc Networks (VANETs)
