交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 216-221.

• 案例分析 • 上一篇    下一篇

寒区冰雪期城市道路交通冲突与事故预测

吴立新1,程国柱2,秦丽辉*3,翟露露2   

  1. 1. 吉林建筑大学交通科学与工程学院,长春130118;2. 哈尔滨工业大学交通科学与工程学院,哈尔滨150090;3. 东北农业大学水利与土木工程学院,哈尔滨150030
  • 收稿日期:2016-04-22 修回日期:2016-08-03 出版日期:2016-12-25 发布日期:2016-12-26
  • 作者简介:吴立新(1970-),女,吉林长春人,教授,硕士.
  • 基金资助:

    吉林省教育厅“十三五”科学技术研究项目/ Education Department of Jilin Province Science and Technology Research Project of "13th Five-Year" (2016155).

Urban Road Traffic Conflict and Accident Prediction during the Period of Ice and Snow in Cold Region

WU Li-xin1,CHENG Guo-zhu2,QIN Li-hui3,ZHAI Lu-lu2   

  1. 1. School of Transportation Science and Engineering, Jilin Jianzhu University, Changchun 130118, China; 2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 3. School ofWater Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Received:2016-04-22 Revised:2016-08-03 Online:2016-12-25 Published:2016-12-26

摘要:

为合理预测寒冷地区冰雪期城市道路交通事故数量进而提出有效的交通安全保障措施,本文采用车头时距作为判定交通冲突的指标,用冲突次数作为预测交通事故的指标.基于寒区冰雪期的车速与路面附着系数调查数据,计算出不同速度下车辆产生交通冲突的车头时距阈值.采用回归分析方法构建交通冲突数量与交通量的关系模型;进而根据交通冲突与交通事故的关系,构建交通事故数量与交通量的关系模型,并计算给出了寒区冰雪期不同交通量对应的交通冲突与事故数量预测值.结果表明,交通冲突次数与交通量的关系符合Logistic 模型,交通冲突数和交通事故数量都随着交通量的增大而上升,其增长趋势是由慢到快再变缓.

关键词: 城市交通, 事故预测模型, 回归分析, 交通冲突次数, 寒冷地区, 冰雪期

Abstract:

In order to predict reasonably the number of urban road traffic accident and then present effective traffic safety guarantee measures, time headway is adopted as judging index of the conflict, and the number of conflicts is adopted as prediction index of traffic accidents. Based on the survey of driving speed and pavement friction coefficient during the period of ice and snow in cold region, thresholds of conflict time corresponding to different speed are calculated. Regression method is adopted, and a model is developed for capturing the interrelation between traffic volume and the number of conflict. According to the relationship between traffic conflict and traffic accident, the relation model is established between traffic volume and the number of accident. Then, predicted values of the number of traffic conflict and accident corresponding to different traffic volume are offered during the period of ice and snow in cold region. It shows that the relation between the number of traffic conflict and traffic volume conforms to Logistic model, and the number of traffic conflict and accident increase with the rising of traffic volume, and the growth trend is from slow to quick and then to slow.

Key words: urban traffic, accident prediction model, regression method, number of traffic conflict, cold region, period of ice and snow

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