Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Establishment of Vehicle Scheduling Model and Algorithm Design Based on Jilt Hang Transport Operation

Authors
Lijiao Liu, Jihui Ma
Corresponding Author
Lijiao Liu
Available Online April 2017.
DOI
10.2991/emim-17.2017.92How to use a DOI?
Keywords
Jilt hang transport; Operation mode; Vehicle scheduling; Model building; Algorithm design
Abstract

Based on the analysis of the operation mode of jilt hang transport, this paper establishes a vehicle scheduling model. The optimal path of tractor driving is selected by using multi-objective optimization. The Floyd algorithm is combined with the greedy algorithm to study jilt hang transportation vehicle scheduling. Finally, an example is given to demonstrate the feasibility of the vehicle scheduling model, and the optimal driving route and the rejection scheme of the tractor are obtained.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.92How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lijiao Liu
AU  - Jihui Ma
PY  - 2017/04
DA  - 2017/04
TI  - Establishment of Vehicle Scheduling Model and Algorithm Design Based on Jilt Hang Transport Operation
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 455
EP  - 458
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.92
DO  - 10.2991/emim-17.2017.92
ID  - Liu2017/04
ER  -