Journal of Transportation Systems Engineering and Information Technology

Journal of Transportation Systems Engineering and Information Technology ›› 2013, Vol. 13 ›› Issue (3): 151-156.

• Systems Engineering Theory and Methods • Previous Articles     Next Articles

Simulation Evaluation Model on Driving Risk of Expressway Work Zone

WU Biao1, XU Hong-guo2, DAI Tong-yan1, SONG Cheng-ju1   

  1. 1.School of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin 150050, China;2. College of Traffic and Transportation, Jilin University, Changchun 130025, China
  • Received:2012-12-20 Revised:2013-01-25 Online:2013-06-25 Published:2013-07-02

高速公路作业区行车风险仿真评价模型

吴彪1，许洪国*2，戴彤焱1，宋成举1   

  1. 1.黑龙江工程学院 汽车与交通工程学院，哈尔滨 150050； 2.吉林大学 交通学院，长春 130025
  • 作者简介:吴彪（1978-），男，辽宁法库人，博士，副教授.
  • 基金资助:

    国家自然科学基金项目（51078167）；教育部人文社会科学研究青年基金项目（11YJCZH183）；黑龙江省教育厅科学技术研究项目（12511451）；黑龙江工程学院博士科研基金项目（2011BJ18）.

PDF

Abstract:

Based on the integration of single vehicle risk model and macro traffic flow parameters, this paper proposes an evaluation model on driving risk of expressway work zone. Considering the vehicle driving characteristics, the evaluation model is developed based on selection of the risk measurement index of vehicle deceleration and macro traffic flow parameters including average speed, mean occupancy ratio and speed variation. The method of traffic simulation is adopted to simulate traffic flow in expressway work zone, and the test data is collected from simulation. The multiple linear regression model is developed to describe the relationships between the average driving risk level and macro traffic flow parameters. It shows that the coefficient of variability of speed significantly impact the level of average driving risk.

Key words: traffic engineering, driving risk, traffic simulation, work zone, traffic flow parameters

摘要：

集成单车风险模型和宏观交通流参数，构建高速公路作业区行车风险评估模型.针对高速公路作业区车辆运行的特殊性，以车辆减速度作为行车风险度量指标，以交通流平均速度、平均车道占有率、速度变异系数等宏观交通流参数表征高速公路作业区行车风险.基于高速公路作业区交通流的仿真试验数据，构建平均行车风险水平和宏观交通流参数之间关系的多元线性回归模型.结果表明，交通流平均速度、平均车道占有率和速度变异系数对作业区平均行车风险水平都存在影响，其中速度变异系数对作业区平均风险水平影响显著.

关键词: 交通工程, 行车风险, 交通仿真, 作业区, 交通流参数

CLC Number: