首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于交通流理论的公交站点间行程时间预测
引用本文:李海姣,陆建.基于交通流理论的公交站点间行程时间预测[J].交通与计算机,2012,30(3):29-32.
作者姓名:李海姣  陆建
作者单位:1. 南昌航空大学飞行器工程学院 南昌330063
2. 东南大学交通学院 南京210096
基金项目:"十一五"国家科技支撑计划课题,教育部新世纪优秀人才支持计划项目
摘    要:分析了公交站点间车辆运行过程,将行程预测时间划分为交叉口排队等待时间、路段行驶时间和停站时间3个部分,利用交通波理论和延误三角形,分别建立了无公交专用车道和有公交专用车道2种情况下排队等待时间的动态预测模型;根据乘客到站规律和上下车规律,提出了公交车进站停靠时间模型;针对无公交专用车道条件下的时间预测方法进行了实例演算.实验数据表明,基于交通波行程时间预测方法具有较高的精度,可以满足站点间行程时间预报要求.

关 键 词:行程时间预测  交通波理论  排队等待时间  公交信号优先

Travel Time Prediction Between Bus Stops Based on Traffic Flow Theory
LI Haijiao , LU Jian.Travel Time Prediction Between Bus Stops Based on Traffic Flow Theory[J].Computer and Communications,2012,30(3):29-32.
Authors:LI Haijiao  LU Jian
Institution:1. School of Aircraft Engineering, Nanchang Hangkong University, Nanchang 330063, China ; 2. School of Transportation, Southeast University, Nanjing 210096, China)
Abstract:This paper analyzed vehicle operation between bus stations, and divided travel prediction time into three parts., waiting time, link travel time and dwell time. Traffic wave theory and delay triangle were used to establish the dy- namic prediction model of queue waiting time for regular lanes and bus lanes respectively. Dwelling time model was pro- posed according to the regular passengers arriving and getting off patterns. An example was presented to test the model of regular lanes. The experimental data show that the traffic wave-based prediction method has a higher precision to meet the prediction requirement of travel time between bus stops.
Keywords:travel time prediction  traffic wave theory  queue waiting time  transit signal priority
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号