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基于定点数据的道路瓶颈拥挤自动识别算法

弓晋丽 彭贤武

交通信息与安全2013,Vol.31Issue(2):18-22,46,6.
交通信息与安全2013,Vol.31Issue(2):18-22,46,6.DOI:10.3963/j.issn1674-4861.2013.02.005

基于定点数据的道路瓶颈拥挤自动识别算法

Automatic Identification Algorithm for Road Bottlenecks Based on Detector Data

弓晋丽 1彭贤武1

作者信息

  • 折叠

摘要

Abstract

To study the problem of traffic congestion at road bottlenecks and know the distribution properties as to change regulation of the Recurrent Congestion, a new automatic identification algorithm for road bottlenecks was proposed. Based on historical traffic data from the dual-loop detectors on road, the algorithm differentiates uncongested traffic state from congested state, thereby identifying traffic bottlenecks according to principle of congestion. It will also compute the congestion duration and influence range caused by bottlenecks at the same time. By using field data from dual-loop detectors on Shanghai North-South elevated road for 10 days, the effectiveness and practicality of the algorithm have been verified.

关键词

交通工程/线圈数据/道路瓶颈/交通拥挤/自动识别算法

Key words

traffic engineering/ detector data/ road bottleneck/ traffic congestion/ automatic identification algorithm

分类

交通工程

引用本文复制引用

弓晋丽,彭贤武..基于定点数据的道路瓶颈拥挤自动识别算法[J].交通信息与安全,2013,31(2):18-22,46,6.

基金项目

863计划项目(批准号:2007AA12Z242)、国家自然科学基金项目(批准号:50738004)资助 (批准号:2007AA12Z242)

交通信息与安全

OACSTPCD

1674-4861

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