Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Calculating method of optimal path of data of traffic network

Authors
Hongfeng Sun, Ying Li, Yanchun Yang
Corresponding Author
Hongfeng Sun
Available Online April 2015.
DOI
10.2991/ameii-15.2015.81How to use a DOI?
Keywords
Traffic flow; Particle swarm algorithm; Dynamic programming; The optimization of path; Time dependent
Abstract

According to the influence of traffic flow change on the selection of vehicle routing, to find a solution to the planning of travel routes in the situation that knowing the change of traffic flow. By using the method of particle swarm algorithm combined with dynamic programming to optimize the path of the vehicle, we can get the excellent route of each vehicle under the influence of the traffic flow. Simulating based on the road network structure and traffic data in real environment, the results showing that this method can increase the authenticity and dynamic of path optimization, and the road traffic flow and vehicle travel time having important influence on vehicle routing choice.

Copyright
© 2015, 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 International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.81
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.81How to use a DOI?
Copyright
© 2015, 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  - Hongfeng Sun
AU  - Ying Li
AU  - Yanchun Yang
PY  - 2015/04
DA  - 2015/04
TI  - Calculating method of optimal path of data of traffic network
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 427
EP  - 431
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.81
DO  - 10.2991/ameii-15.2015.81
ID  - Sun2015/04
ER  -