Vehicle Navigation Protocol in Real-Time Fleet Management

被引：0

作者：

Kannadasan, R. ^{[1
]}

Kumar, Rohin Sri ^{[1
]}

Devineni, Keerthan Satya ^{[1
]}

Prabakaran, N. ^{[1
]}

Anakath, A. S. ^{[2
]}

Jayanthiladevi, A. ^{[3
]}

机构：

[1] VIT Univ, Sch Comp Sci & Engn, Vellore, Tamil Nadu, India

[2] EGS Pillay Engn Coll Autonomous, Sch Comp, Nagapattinam, India

[3] Srinivas Univ, Comp Sci & Informat Sci, Bengaluru, India

来源：

2020 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI) | 2020年

关键词：

Realtime fleet management(RTFM); Vehicle Routing Protocol(VRP); Vehicle Routing Problems(VRPro); ROUTING PROBLEM; NUMBER;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In Real-Time Fleet Management, vehicle routes are built dynamically according to travel durations, location of the vehicles and also customer requests which are revealed gradually. To account for such situations, algorithms which are fast and can accommodate the uncertainty are needed. We here highlights the use of parallel computing strategies for solving real-time vehicle routing problems. The vehicle routing problem is related to linear optimisation and falls under the domain of logistics and transport. Vehicle routing problems comprise of determining optimal vehicle routes according to various constraints such as the total demand should not exceed the total capacity, service durations are met The objectives of solving the Vehicle Routing Protocol varies depending upon the dynamically of the system. In general, systems, which are weakly dynamic, focus on optimising or minimising the routing costs. The systems, which are strongly dynamic, focus more on minimising the expected response time.

引用

页码：248 / 251

页数：4

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