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基于速度波动区间的双向绿波优化控制方法

夏井新 陶雨濛 焦恬恬

西南交通大学学报2017,Vol.52Issue(4):802-809,8.
西南交通大学学报2017,Vol.52Issue(4):802-809,8.DOI:10.3969/j.issn.0258-2724.2017.04.020

基于速度波动区间的双向绿波优化控制方法

Optimization Methods for Bidirectional Green Wave Control Based on Speed Volatility Interval

夏井新 1陶雨濛 1焦恬恬2

作者信息

  • 1. 东南大学智能运输系统研究中心,江苏南京210096
  • 2. 广东方纬科技有限公司,广东广州510275
  • 折叠

摘要

Abstract

In order to overcome the drawbacks of traditional arterial signal coordination methods that apply parallel and equal green wave bandwidth and ignore the speed volatility of segments between intersections, a non-parallel and unequal green wave band representation is introduced here based on the segment speed volatility intervals.Additionally, a bidirectional green wave optimization control method was proposed.The optimization objective of the proposed method is to maximize the bandwidth of green waves between adjacent intersections so as to satisfy the traffic demands of the non-coordinated signal phases.Moreover, the relative offset between two adjacent intersections can be adjusted by constructing a maximum bandwidth model.An overlap test was used as a constraint condition to prevent the fracture of green waves, which realize the bidirectional green wave control for the arterial traffic signals.Taking Changjiang Road in Kunshan City as an example, Indexes in terms of efficiency were selected to evaluate the performance of the proposed bidirectional green wave optimization control method.Evaluation results show that the proposed method can effectively increase the green wave bandwidth by 11.8% and reduce traffic delays and vehicle queue lengths of the green wave phases by 15.34% and 10.86%, respectively, compared to the traditional green wave control method.

关键词

信号控制/速度波动区间/双向绿波/带宽/城市道路

Key words

signal control/speed volatility interval/bidirectional green wave/bandwidth/urban roads

分类

交通工程

引用本文复制引用

夏井新,陶雨濛,焦恬恬..基于速度波动区间的双向绿波优化控制方法[J].西南交通大学学报,2017,52(4):802-809,8.

基金项目

新疆维吾尔自治区科技计划资助项目(201332112) (201332112)

西南交通大学学报

OA北大核心CSCDCSTPCD

0258-2724

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