Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation

Weiyang Qin

doi:10.3969/j.issn.1000-0801.2014.11.009

您当前的位置：

首页 >

文章列表页 >

Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation

Smart city | 更新时间：2024-06-05

- Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation
- DIANXIN KEXUE Vol. 30, Issue 11, Pages: 50-55(2014)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-0801.2014.11.009
  CLC：
- Published Online：2014-11，
  
  Published：20 November 2014
- 稿件说明：
移动端阅览
Weiyang Qin. Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation[J]. Dianxin kexue, 2014, 30(11): 50-55.
DOI：

Weiyang Qin. Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation[J]. Dianxin kexue, 2014, 30(11): 50-55. DOI： 10.3969/j.issn.1000-0801.2014.11.009.

摘要

摘要：在智能交通领域，车辆调度是一个包含多路径、多类型车辆、多目的地的复杂问题。车辆调度过程中的时变属性和动态指标，直接影响着调度过程和结果的优劣。提出了一种包含多路径、多类型车辆、多目的地以及动态因素的调度网络模型。通过引入虚拟节点、虚拟连接路径等建模元素，给出了车辆调度网络模型的形式化数学描述和图形化表达方式，提出了基于优先级的分层调度网络，最后实例验证了该模型的有效性。

Abstract

In the field of intelligent transportation

vehicle scheduling is a complex issue with multi-path

multi-types of vehicles and multi-destination. In this process

some time-varying attributes and dynamic indicators have a direct impact on the scheduling process and result. A scheduling network model

with multi-path

multi-types of vehicles

multi-destination and dynamic factors was proposed. The new modeling elements

virtual node and virtual path

were used for mathematical description and graphical expression of vehicle scheduling network model. Priority-based scheduling network was presented

and the validity of the model was verified.

关键词

Keywords

references

王旭 , 葛显龙 , 代应 . 基于两阶段求解算法的动态车辆调度问题研究 . 控制与决策 , 2012 , 27 ( 2 ): 175 ～ 181

唐伟勤 , 张隐 , 张敏 . 大规模突发事件应急物资调度中的车辆路径问题 . 物流技术 , 2008 , 27 ( 12 )

王晓博 , 李一军 . 多车场多车型装卸混合车辆路径问题研究 . 控制与决策 , 2009 , 24 ( 12 )

张景玲 , 赵燕伟 , 王海燕 . 多车型动态需求车辆路径问题建模及优化 . 计算机集成制造系统 , 2010 , 16 ( 3 )

刘芹 , 史忠科 . 混合粒子群算法求解交通路网中的车辆调度问题 . 控制与决策 , 2006 , 21 ( 11 )

何正文 , 贾涛 , 徐渝 . 基于禁止时间窗的应急物资调度车辆路径问题 . 运筹与管理 , 2009 , 18 ( 12 )

王文蕊 , 吴耀华 . 考虑变动成本的车辆路径问题建模及求解 . 计算机集成制造系统 , 2014 , 20 ( 4 )

何建敏 , 刘春林 . 限制期条件下应急车辆调度问题的模糊优化方法 . 控制与决策 , 2001 , 16 ( 3 )

赵燕伟 , 李川 . 一种新的求解多目标随机需求车辆路径问题的算法 . 计算机集成制造系统 , 2012 , 18 ( 3 )

安一帆 . 应急车辆调度中的最优路径研究 . 技术应用 , 2013 ( 2 )

Sangheon HAN , Tabata Y . A hybrid genetic algorithm for the vehicle routing problem with controlling lethal gene . Asia Pacific Management Review , 2002 ( 7 )

William Ho , George T S Ho . A hybrid genetic algorithm for the multi-depot vehicle routing problem . Engineering Applications of Artificial Intelligence , 2008 ( 2 )

Ombuki B , Ross B J . Multi-objective genetic algorithms for vehicle routing problem with time windows . Applied Intelligence , 2006 ( 1 )

Jin M Z . Optimal routing of vehicles with communication capabilities in disasters . Comput Manag Sci , 2010 ( 7 ): 121 - 137

Views

564

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Review of optimal resource allocation scheme for 5G Internet of vehicles

Technology development, application and prospect of cellular vehicle-to-everything (C-V2X)

Detection method for selfish routes based on the sequential probability ratio test

Challenge and Implementation of Content-Centric Networking

Related Author

Chengyu ZHENG

Yiting YAO

Hongbin LIANG

Lei WANG

Shanzhi CHEN

Yuming GE

Yan SHI

Qi WANG

Related Institution

China Telecom Corporation Sichuan Branch

School of Transportation and Logistics, Southwest Jiaotong University

State Key Laboratory of Wireless Mobile Communications, China Information Communication Technology Group Co., Ltd.(CICT)

China Academy of Information and Communications Technology

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications

⁰