基于视频的城市道路超车行为影响因素模型  

Video-Based Influencing Factors Model of Overtaking Behavior onUrban Roads

作　　者：秦雅琴[1] 郑号染 李剑仕[1] QIN Yaqin;ZHENG Haoran;LI Jianshi(School of Transportation Engineering,Kunming University of Science and Technology,Kunming 650504,Yunnan,China;School of Transportation,Wuhan University of Technology,Wuhan 430063,Hubei,China)

机构地区：[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

出　　处：《重庆交通大学学报（自然科学版）》2021年第1期17-22,52,共7页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：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)。

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。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.

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 

分 类 号：U491.4[交通运输工程—交通运输规划与管理]