Development of computerized vehicle scheduling system for specialized transportation: delaware case

1988 ◽  
Vol 12 (2) ◽  
pp. 151-170 ◽  
Author(s):  
Shinya Kikuchi
2012 ◽  
Vol 11 (1) ◽  
pp. 689-692
Author(s):  
Weicheng Xie ◽  
Yongqiang Chen ◽  
Changmin Chen ◽  
Yi Xie

1972 ◽  
Vol 23 (2) ◽  
pp. 151-163 ◽  
Author(s):  
P. J. Cassidy ◽  
H. S. Bennett

2014 ◽  
Vol 989-994 ◽  
pp. 5504-5507
Author(s):  
Rui Ma ◽  
Guo Zhen Xie ◽  
Chi Zhang

Lack of effective and real-time information in agricultural logistics distribution, which will cause the vehicle cannot accurately obtain the current location and cannot select the best distribution route, results in serious vehicle load and resource waste. Aiming at the problems, this paper proposes an logistics distribution vehicle scheduling system based on LBS. Using three-tier system architecture including application layer, logic layer and data layer, the system provides services of location, navigation, route planning, surrounding location query and agricultural news. Mobile clients can not only receive the latest news about agriculture, but also receive real-time vehicle location and query distribution route planning, which will help the delivery staff complete distribution tasks efficiently, consequently reduce logistics distribution costs and the waste of resources.


2017 ◽  
Vol 865 ◽  
pp. 681-688 ◽  
Author(s):  
Liang Yong Chu ◽  
Shuo Dang ◽  
Gen Pei Xie ◽  
Cong Meng

The development of market economy has put forward new demands to the logistics. However, the traditional artificial decision has been unable to meet the demand of the market. Under the rapid development of Internet of things and information technology, the application of new technology in logistics vehicle scheduling makes it more reasonable, also, reduce the logistics cost. On the basis of traditional logistics vehicle scheduling process, the paper designs a framework of logistics distribution system from ontology view, combined with the application of ontology and agent in the logistics vehicle scheduling and material scheduling. Then, it sets up the vehicle scheduling system model based on the multi-Agent, to analyse the process of mutual cooperation between agents if they complete the task together. Meanwhile, the paper also establishes a communication mechanism based on the blackboard system, to further analyse the cooperation mechanism between Agents.


2020 ◽  
Vol 170 ◽  
pp. 235-240 ◽  
Author(s):  
Viktor Nagy ◽  
Balázs Horváth

1972 ◽  
Vol 23 (2) ◽  
pp. 151 ◽  
Author(s):  
P. J. Cassidy ◽  
H. S. Bennett

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