华南理工大学学报(自然科学版) ›› 2016, Vol. 44 ›› Issue (3): 96-102.doi: 10.3969/j.issn.1000-565X.2016.03.014

• 交通与运输工程 • 上一篇    下一篇

公路桥梁车辆行驶间距研究

王强 苏成   

  1. 华南理工大学 土木与交通学院,广东 广州 510640
  • 收稿日期:2015-06-01 修回日期:2015-11-01 出版日期:2016-03-25 发布日期:2016-02-02
  • 通信作者: 王强(1973-),男,博士后,广东华路交通科技有限公司高级工程师,主要从事路桥检测评估研究 E-mail:wq2351@163.com
  • 作者简介:王强(1973-),男,博士后,广东华路交通科技有限公司高级工程师,主要从事路桥检测评估研究
  • 基金资助:
    国家自然科学基金资助项目(51078150);交通运输部建设科技项目(2011318223390);广东省交通厅科技项目(科技-2009-01-001-05)

A Probe into Travel Spacing of Vehicles on Highway Bridges

WANG Qiang SU Cheng   

  1. School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2015-06-01 Revised:2015-11-01 Online:2016-03-25 Published:2016-02-02
  • Contact: 王强(1973-),男,博士后,广东华路交通科技有限公司高级工程师,主要从事路桥检测评估研究 E-mail:wq2351@163.com
  • About author:王强(1973-),男,博士后,广东华路交通科技有限公司高级工程师,主要从事路桥检测评估研究
  • Supported by:
    Supported by the National Natural Science Foundation of China(51078150) and Infrastructure Science and Technology Project of Ministry of Transport of China(2011318223390)

摘要: 利用一维随机更新计数场描述公路桥梁上行驶着的车辆,推导得到一般运行状态下车辆行驶间距服从指数分布的性质,并利用动态称重系统实测的大量自然行驶的车辆间距对其进行了验证,认为该性质可用于桥梁的交通量适应性评价. 将实测车辆以时间间隔 3s 为界划分为一般运行状态和密集运行状态,对比分析了其时间间隔和行驶间距的统计结果与我国规范修订时的调查统计结果的差异,认为以 3s 为界的时间间隔不能完全划分车辆的运行状态,应以车辆的行驶间距进行划分. 对比实测自然行驶车辆行驶间距的概率分布特征和一般运行状态下车辆行驶间距的理论概率分布特征发现:行驶间距小于44. 35m 时车辆处于密集运行状态,通过多项式回归得到其概率分布;行驶间距大于44. 35m时为一般运行状态,其概率分布为指数分布. 这些特征可用于建立公路桥梁多参数随机车辆荷载模型.

关键词: 公路桥梁, 行驶间距, 一维随机更新计数场, 指数分布;多项式回归, 一般运行状态, 密集运行状态

Abstract: By means of one-dimension renewal random counting field,the vehicles on highway bridges were de- scribed,and an exponential distribution was derived theoretically to describe the statistic characteristic of travel spacing of vehicles in normal traffic state,which was then verified by the statistic results obtained by weigh-in-mo- tion in situ of the vehicles running naturally on highway bridges,finding that the exponential distribution property can be used to appraise the adaptability of bridges to traffic flow.Then,by taking 3 seconds as a time interval de- marcation,the actually-surveyed vehicles were divided into two running states,namely normal traffic state and dense traffic state,and the difference in time interval and travel spacing of vehicles in these two running states be- tween the statistic results obtained when revising the current bridge design code and the actual results was analyzed comparatively,finding that 3 seconds is not a suitable demarcation of vehicle running state and that travel spacing is more objective and reasonable for the demarcation.By comparing the probability distribution of the travel spacing between actual naturally vehicles on highway bridges and the theoretically-derived vehicles in normal traffic state,it is found that 44.35m is a suitable travel spacing for the demarcation of running state.When the travel spacing is less than 44.35m,vehicles run in dense traffic state and their probability distribution can be regressed as a polyno- mial function,while when the travel spacing is more than 44.35m,vehicles run in normal traffic state and the probability distribution function can be regressed as an exponential one.Such achievements help further establish a multi-parameter load model of random vehicles running on highway bridges.

Key words: highway bridge, travel spacing, one-dimension renewal random counting field, exponential distribu- tion, polynomial regression, normal traffic state, dense traffic state