Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Reasonable Energy-saving Scheduling Model of Large-scale Logistics Transport

Authors
Hao Huang
Corresponding Author
Hao Huang
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.19How to use a DOI?
Keywords
vehicle transportation; transport route; energy-saving scheduling.
Abstract
in the process of large-scale logistics and transport, the relationship between transport path selection of vehicles and transportation energy-saving is complex, this relationship is affected by the nonlinear application of vehicle transportation time, distance and cost. Reasonable energy-saving scheduling method in traditional large-scale logistics and transport process requires the introduction of a large number of constraints, in order to fully establish the correlation between them, resulting in the modeling process of energy-saving scheduling in logistics transportation is too complex. Therefore, an optimization model of reasonable energy-saving scheduling in the process of large-scale logistics and transport based on grey logistics transportation model is proposed. By using the neural network method, the related data of transport goods are trained, so as to provide accurate data basis for the logistics route optimization. Based on the above data, the grey model of logistics and transport is established, and reasonable logistics and transport path is selected, so as to realize the logistics route optimization, and finally complete the reasonable energy-saving scheduling in the process of large-scale logistics and transport. The experimental results show that the improved algorithm for the path selection in the process of transportation and logistics, which can shorten the transportation time and transportation distance, and reduce the energy consumption in the process, so as to realize reasonable energy-saving scheduling in the process of large-scale logistics and transport.
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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Huang
PY  - 2018/12
DA  - 2018/12
TI  - Reasonable Energy-saving Scheduling Model of Large-scale Logistics Transport
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.19
DO  - https://doi.org/10.2991/tlicsc-18.2018.19
ID  - Huang2018/12
ER  -