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拥堵车源的区域多层交通网络混合路径诱导策略

王璞 王天浩 李明伦 郭宝 吴紫健 肖健和

电子科技大学学报2024,Vol.53Issue(5):785-791,7.
电子科技大学学报2024,Vol.53Issue(5):785-791,7.DOI:10.12178/1001-0548.2023121

拥堵车源的区域多层交通网络混合路径诱导策略

Hybrid Routing Strategy of Regional Multi-Layer Transportation Network Considering the Congested Driver Sources

王璞 1王天浩 1李明伦 1郭宝 1吴紫健 1肖健和1

作者信息

  • 1. 中南大学交通运输工程学院,长沙 410075
  • 折叠

摘要

Abstract

In order to alleviate traffic congestion on freeways,national highways and provincial highways are used to achieve traffic diversion,and a targeted route guidance strategy is implemented.A hybrid routing model for regional multi-layer transportation network is established,which considers the congested driver sources.Firstly,a regional multi-layer transportation network composed of Hunan freeway,national highway and provincial highway is constructed,and the link weight is calibrated.Next,the congested driver sources are located,a hybrid routing model is established by considering the congested driver sources,and the targeted routing guidance is implemented for vehicles from the congested driver sources,so as to reduce the impact on travelers as much as possible while ensuring the mitigation effect of traffic congestion.Results show that the proposed route guidance model can effectively achieve traffic diversion and reduce the average travel time of vehicles in the multi-layer transportation network.In practical applications,the route guidance information can be only sent to a few drivers to reduce the difficulty of model implementation.The acceptance rate of drivers to the suggested routes can be analyzed to develop appropriate plans for disseminating route guidance information.

关键词

复杂网络/拥堵车源/拥堵缓解/混合路径诱导模型/多层网络

Key words

complex network/congested driver sources/congestion alleviation/hybrid routing model/multi-layer network

分类

交通运输

引用本文复制引用

王璞,王天浩,李明伦,郭宝,吴紫健,肖健和..拥堵车源的区域多层交通网络混合路径诱导策略[J].电子科技大学学报,2024,53(5):785-791,7.

基金项目

湖南省自然科学基金杰出青年基金(2022JJ10077) (2022JJ10077)

湖南省交通运输厅科技进步与创新计划(202102) (202102)

电子科技大学学报

OA北大核心CSTPCD

1001-0548

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