随机时间依赖交通网络自适应路径选择

陈京荣; 俞建宁; 李引珍

随机时间依赖交通网络自适应路径选择

基金项目:

国家自然科学基金资助项目(60870008)

甘肃省自然科学基金资助项目(3XS051-A25-030)

详细信息

作者简介:
陈京荣(1975- ),女,副教授,博士研究生,研究方向为图理论及其在城市交通中的应用,电话:0931-3352727,E-mail:chenjr@mail.lzjtu.cn

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出版历程
- 收稿日期: 2008-06-26

Adaptive Path Selection in Stochastic and Time-Dependent Traffic Networks

摘要

摘要: 根据路段旅行时间具有随机性、时间依赖性等特点,将路段在不同时刻的旅行时间定义为离散随机变量;建立了随机的时间依赖网络的自适应路径模型,给出用多项式表示时间复杂性的算法,获得基于最小期望时间的所有节点到给定终点的自适应路径.出行者可以根据到达某节点的具体时刻选择下一步的最优路径.通过算例验证了算法的可行性.
- 随机性 /
- 时间依赖 /
- 交通网络 /
- 自适应路径 /
- 最小期望时间
Abstract: The travel time for each road section at different time was defined as a discrete random variable according to the stochastic and time dependent properties of travel time in traffic networks.Based on this,an adaptive path selection model was built in stochastic,time dependent networks,and an algorithm with polynomial time complexity was given.By this model,travelers can obtain adaptive paths from all nodes to a specified destination with the least expected time,and then select an optimal route to their destination at any node according to the arrival time.In the end,an illustrative example verified the effectiveness of the algorithm.
- stochastic property /
- time dependency /
- traffic network /
- adaptive path /
- least expected time

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参考文献(1)

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文章访问数: 1531
HTML全文浏览量: 74
PDF下载量: 47
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