中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (06): 7-11.DOI: 10.3969/j.issn.1674-0696.2021.06.02

• 交通+大数据人工智能 • 上一篇    下一篇

基于双射软决策理论的路段拥堵影响力识别

许茂增,张莉   

  1. (重庆交通大学 经济与管理学院,重庆 400074)
  • 收稿日期:2020-11-01 修回日期:2021-03-19 出版日期:2021-06-19 发布日期:2021-06-24
  • 作者简介:许茂增(1960—),男,陕西大荔人,教授,博士生导师,主要从事交通运营管理和供应链管理研究。E-mail:xmzzrxhy@cqjtu.edu.cn 通信作者:张莉(1978—),女,江苏镇江人,副教授,博士研究生,主要从事交通大数据应用研究。E-mail:elisazl@163.com
  • 基金资助:
    国家自然科学基金项目(71871034,71871035,71471024)

Identification of Road Section Congestion Influence Based on Bijective Soft Decision Theory

XU Maozeng, ZHANG Li   

  1. (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)
  • Received:2020-11-01 Revised:2021-03-19 Online:2021-06-19 Published:2021-06-24

摘要: 为了刻画路段对整体交通的影响,提出了拥堵影响力指标及其计算方法;建立了基于双射软决策理论和实时路况地图数据的计算框架;以重庆市四公里立交2018年12月9—31日的百度实时路况地图为样本序列进行了实例研究。结果表明:拥堵影响力指标可以用来描述城市路段交通状态的重要属性;根据实时路况地图中的离散化交通状态信息,应用双射软决策理论的分析框架能够迅速获取路段拥堵影响力,结果可作为识别路段拥堵严重程度的有力补充。

关键词: 交通工程, 城市路网管理, 实时路况地图, 路段拥堵影响力

Abstract: In order to describe the impact of road section on the overall traffic, the congestion influence index and its calculation method were proposed, and a computing framework based on bijective soft decision theory and real-time road map data was established. Taking the Baidu real-time traffic map of Chongqings Four-Kilometer Interchange from December 9 to 31, 2018 as the sample sequence, a case study was carried out. The results show that the congestion influence index can be used to describe the important attributes of urban road traffic state; and through the discrete traffic state information in the real-time road map, the analysis framework of the bijective soft decision theory can quickly obtain the influence of road congestion, which can be used as a powerful supplement to identify the severity of road section congestion.

Key words: traffic engineering, urban road network management, real-time traffic map, road section congestion influence

中图分类号: