Research on Multimodal Transport Shortest Path Based on the Genetic Algorithm

Shou Wen Ji; Shi Jin; Kai Lv

doi:10.4028/www.scientific.net/AMM.744-746.1813

Paper Titles

Clustering Analysis of Main Vessel Traffic Flow Observation Lines along Yangtze River
p.1792

Concepts and Methods of Comprehensive Traffic Planning in Germany
p.1797

Correlation Model between Speed and Density of Electric Bicycles at Signalized Intersections
p.1803

Fuzzy Combination Forecasting of Urban Transit Demand
p.1808

Research on Multimodal Transport Shortest Path Based on the Genetic Algorithm
p.1813

Structural Equation Model of Public Evaluation of Transfer Efficiency of Integrated Traveler Transportation Hub
p.1817

Study on Combinational Scheduling Optimization of Bus Transit Rapid Based on Tabu Search & Genetic Algorithm
p.1827

Study on Evaluation of Coordination Degree of Comprehensive Transport System Construction Based on DEA Model
p.1832

Study on the Safety Management System of High-Speed Railway
p.1838

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-746Research on Multimodal Transport Shortest Path...

Research on Multimodal Transport Shortest Path Based on the Genetic Algorithm

Abstract:

This paper focuses on the research of multimodal transportation optimization model and algorithm, designs an intermodal shortest time path model and gives a solution to algorithm, constructs a multimodal transport network time analysis chart. By using genetic algorithms, the transportation scheme will be optimized. And based on each path’s code, the population will be evolved to obtain the optimal solution by using crossover and mutation rules.

You might also be interested in these eBooks

Advances in Civil Engineering and Transportation IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 744-746)

Pages:

1813-1816

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.744-746.1813

Citation:

Cite this paper

Online since:

March 2015

Authors:

Shou Wen Ji, Shi Jin*, Kai Lv

Keywords:

Genetic Algorithm, Multimodal Transport, Shortest Path

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Binghua Zhang. Containerapplicationbook, Beijing: China Communications Press[M], (2000).

Google Scholar

[2] Michel Beothe et a1, Freight transportation demand elasticity's: a geographic multimodal transpirationnetwork analysis, Transportation Research Part E, 2001, 37: 253, 266.

DOI: 10.1016/s1366-5545(00)00022-3

Google Scholar