交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (3): 101-106.

• 系统工程理论与方法 • 上一篇    下一篇

交通拥堵条件下的公交发车间隔过渡模型研究

董红召*,孔娟娟,刘晴辉   

  1. 浙江工业大学智能交通联合研究所,杭州310014
  • 收稿日期:2015-11-04 修回日期:2015-12-23 出版日期:2016-06-25 发布日期:2016-06-27
  • 作者简介:董红召(1969-),男,河南滑县人,教授.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(61174176).

A Bus Departure Time Interval Transition Model Considering Traffic Congestion

DONG Hong-zhao,KONG Juan-juan,LIU Qing-hui   

  1. ITS Joint Research Institute, Zhejiang University of Technology, Hangzhou 310014, China
  • Received:2015-11-04 Revised:2015-12-23 Online:2016-06-25 Published:2016-06-27

摘要:

针对现有公交发车间隔模型忽略了交通拥堵状态对公交运营影响的问题,提 出了交通拥堵条件下响应客流需求的发车间隔设计方法.采用有序样本聚类方法,分别根 据客流需求及交通拥堵状态对时间段进行聚类划分,并融合处理为若干具有不同客流与 拥堵状态综合特征的时间段;分析相邻时段综合特征关系,建立了发车间隔的过渡模型, 该模型确定发车时段之间的衔接时长,通过调整衔接时间长度将发车序列在时间轴上平 移,弥补交通拥堵造成的客流需求与发车计划匹配错位.最后采用杭州市某线路的运营数 据对该模型进行了分析验证,PARAMICS交通仿真实验表明,该模型在满足客流需求的 前提下使客流断面满载率保持在40%~70%范围内,提高了公交系统的服务水平及运营 效率.

关键词: 城市交通, 城市公共交通, 发车间隔过渡, 时段聚类, 拥堵状态, 客流需求

Abstract:

The existing planning models of bus departure time interval usually ignored the important impact factor of real- time traffic congestion. To solve the issue, a departure time interval transition method is presented considering passenger travel demand and traffic congestion. The bus operating hours is divided into several temporary periods separately according to the passenger travel demand and the congestion conditions by the clustering method of samples with sequence. Then these temporary periods are combined to form a period set, in which each period possess the features including passenger travel flow and traffic congestion. Consequently, the departure interval transition model is established to adjust the transient time separately between two neighbor periods to match the passenger travel demand and departure plan. Finally a practical experiment for one bus route in Hangzhou is implemented to verify the proposed model by PARAMICS simulation. The result shows that the model can keep the load ratio in the range of 40% to 70% with the precondition of satisfying the passenger travel demand, and help to improve the service level and the efficiency of the bus transit system.

Key words: urban traffic, urban public transport, departure interval transition, period clustering, traffic congestion, passenger travel demand

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