Vehicle Cooperative Optimization Scheduling in Transportation Cyber Physical Systems

被引：0
|
作者：
Yuan H.-N. [1 ]
Guo G. [2 ,3 ]
机构：
[1] School of Control Science and Engineering, Dalian Maritime University, Dalian
[2] Laboratory of Synthetical Automation for Industrial Process, Northeastern University, Shenyang
[3] School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2019年 / 45卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Energy consumption; Freight trucks; Scheduling scheme; Transportation cyber physical systems (TCPS);
D O I：
10.16383/j.aas.c180354
中图分类号：
学科分类号：
摘要：
Transportation costs and greenhouse gas emissions are important indicators of intelligent transportation systems. Effective transport scheduling can reduce transportation cost and environmental damage. This paper proposes a large-scale vehicle coordinated scheduling and merging strategy for large-scale vehicles based on transportation cyber physical systems (TCPS) to minimize transportation costs and carbon emissions. Firstly, a local scheduling strategy is used in combination with the leader vehicle selection algorithm and cluster analysis to construct the vehicle merging set. Then, through the mathematical programming method, the improvement and optimization of vehicle path and speed in each platooning set are realized. Finally, the expandability of the scheduling strategy is proved by the simple processing of emergency situations. Numerical simulation has shown that the method presented in this paper to schedule vehicle can greatly reduce the overall fuel consumption of vehicle fleets in fact compared to the fixed path merging strategy. Copyright © 2019 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：143 / 152
页数：9
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