Self-organisation in traffic signal control algorithms under light traffic conditions

ORiON Pub Date : 2019-06-28 DOI:10.5784/35-1-605
Sj Movius, JH van Vuuren
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引用次数: 0

Abstract

Fixed-time control and vehicle-actuated control are two distinct types of traffic signal control. The latter control method involves switching traffic signals based on detected traffic flows and thus offers more flexibility (appropriate for lighter traffic conditions) than the former, which relies solely on cyclic, predetermined signal phases that are better suited for heavier traffic conditions. The notion of self-organisation has relatively recently been proposed as an alternative approach towards improving traffic signal control, particularly under light traffic conditions, due to its flexible nature and its potential to result in emergent behaviour. The effectiveness of five existing self-organising traffic signal control strategies from the literature and a fixed-control strategy are compared in this paper within a newly designed agent-based, microscopic traffic simulation model. Various shortcomings of three of these algorithms are identified and algorithmic improvements are suggested to remedy these deficiencies. The relative performance improvements resulting from these algorithmic modifications are then quantified by their implementation in the aforementioned traffic simulation model. Finally, a new self-organising algorithm is proposed that is particularly effective under lighter traffic conditions.
轻交通条件下交通信号控制算法的自组织研究
固定时间控制和车辆驱动控制是两种不同类型的交通信号控制。后一种控制方法包括根据检测到的交通流量切换交通信号,因此比前者提供了更大的灵活性(适用于较轻的交通状况),前者完全依赖于循环,预定的信号阶段,更适合于较重的交通状况。自组织的概念最近被提出作为改善交通信号控制的另一种方法,特别是在轻交通条件下,由于其灵活性和可能导致紧急行为。本文在新设计的基于智能体的微观交通仿真模型中,比较了文献中已有的五种自组织交通信号控制策略和固定控制策略的有效性。指出了其中三种算法的各种缺陷,并提出了改进算法的建议来弥补这些缺陷。这些算法修改所带来的相对性能改进,然后通过在上述流量模拟模型中的实现来量化。最后,提出了一种新的自组织算法,该算法在较轻的交通条件下特别有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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