山区小城市机非混行道路行程时间修正模型研究
DOI:
作者:
作者单位:

作者简介:

张翀(1993—),女,研究方向为交通运输规划与管理。

通讯作者:

中图分类号:

U491.1

基金项目:

国家自然科学基金(51608123);福建省自然科学基金(2017J01682)


Study on Modification Model of Mixed Traffic Travel Time in Small Mountainous Cities
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为准确估计山区小城市路段行程时间,以山区小城市道路为研究对象,在分析其交通特性和传统 BPR 模型的基础上,通过定义路段累计流量,构造了基于路段累计流量的机非混行道路行程时间修正模型。 采用人工记录法获取非拥堵状态下的实测数据,并通过 VISSIM 仿真得到拥堵状态下的实验数据,根据大量数据标定修正 BPR 模型的主要参数,并对两种模型进行误差分析。 结果表明: 山区小城市干路行程时间估计中, 修正 BPR 模型的误差均值为 4.597%, 传统 BPR 模型的误差均值为 35.021%;支路行程时间估计中,修正 BPR 模型的误差均值为 3.120%,传统 BPR 模型的误差均值为 46.737%。修正 BPR 模型的估计效果明显优于传统 BPR 模型,且非机动车干扰对支路路段行程时间的影响更为显著。

    Abstract:

    To accurately estimate road section travel time in small mountainous cities, the travel time modifica- tion model was proposed based on traffic property analysis, traditional BPR model analysis, as well as the accu- mulative traffic flow analysis of mixed traffic road sections. In this paper, the manual recording method was adopted to collect field data under non-congestion state, and VISSIM software was simulated to acquire experi- mental data under congestion state. Then, the traditional BPR model was modified based on a large amount of traffic flow data, and an error comparison between the traditional and modified BPR models was made. The re- search results show that the traditional and modified BPR models respectively produce the average errors of 35.021% and 4.597% in travel time for arterial roads, and of 46.737% and 3.120% in travel time for access roads. It can be concluded that the estimation performance of the modified BPR model is better than that of the traditional BPR model, and the effects of non-motor vehicle interference on access road travel time is more sig- nificant.

    参考文献
    相似文献
    引证文献
引用本文

张翀,陈金山,郭建钢,李林,罗文婷.山区小城市机非混行道路行程时间修正模型研究[J].华东交通大学学报,2018,35(2):66-72.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-05-25
  • 出版日期: