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 (01): 17-22.DOI: 10.3969/j.issn.1674-0696.2021.01.04

• 交通+大数据人工智能 • 上一篇    下一篇

基于视频的城市道路超车行为影响因素模型

秦雅琴1,郑号染1,2,李剑仕1   

  1. (1. 昆明理工大学 交通工程学院,云南 昆明 650504; 2. 武汉理工大学 交通学院,湖北 武汉 430063)
  • 收稿日期:2019-04-15 修回日期:2019-07-02 出版日期:2021-01-11 发布日期:2021-01-11
  • 作者简介:秦雅琴(1972—),女,云南昆明人,教授,主要从事驾驶行为与安全方面的研究。E-mail:qyq_email@foxmail.com
  • 基金资助:
    国家自然科学基金项目(71861016);云南省教育厅科学研究基金项目(2016ZZX050)

Video-Based Influencing Factors Model of Overtaking Behavior on Urban Roads

QIN Yaqin1, ZHENG Haoran1, 2, LI Jianshi1   

  1. (1. School of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, Yunnan, China; 2. School of Transportation, Wuhan University of Technology, Wuhan 430063, Hubei, China)
  • Received:2019-04-15 Revised:2019-07-02 Online:2021-01-11 Published:2021-01-11
  • Supported by:
     

摘要: 以超车次率为城市道路超车行为宏观量化指标,结合MYSQL与VBA,完成了海量视频超车数据的提取,分别构建了工作日、非工作日及工作日高峰期的超车次率影响因素逐步回归模型。研究结果表明:行程时间及速度对超车行为影响显著,但车辆数在高峰期对超车行为的影响并不明显;行程时间及速度在工作日对超车行为的影响更大,而车辆数在非工作日对超车行为的影响更明显。

 

关键词: 交通运输工程, 城市交通, 超车行为, 超车次率, 逐步回归模型

Abstract: Taking the rate of overtaking vehicle times as the macro quantitative index of urban road overtaking behavior, and combining with MYSQL and VBA, the extraction of massive video overtaking data was completed. Then the stepwise regression models of influencing factors of overtaking rate on weekdays, nonworking days and in peak periods of weekdays were constructed respectively. The research results show that the travel time and speed have significant influence on overtaking behavior, but the number of vehicles in peak periods has no obvious influence on overtaking behavior. In addition, the influence of travel time and speed on overtaking behavior is greater on weekdays, while the influence of vehicle number on overtaking behavior is more obvious on nonworking days.

Key words: traffic and transportation engineering, urban traffic, overtaking behavior, rate of overtaking vehicle times, stepwise regression

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