Optimization of Transit Hub Terminals Based on Improved Adaptive Genetic Algorithm

Article Preview

Abstract:

In this paper, how to design the layout of transit hub terminals is discussed, and an optimized allocation model about bus lines and bus terminals is established. In order to address the slow convergence of adaptive genetic algorithm, an index that indicates population diversity degree is introduced to adjust the individual crossover and mutation rate. This improved adaptive genetic algorithm is applied for the allocation model and an example is used to validate its efficiency. Results show that it is a promising approach and can improve the convergence speed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

942-946

Citation:

Online since:

January 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] WANG Youwei, Study on the Distribution Programming of the Hub of Urban Public Traffic[D], xi'an university of architecture and technology, (2002).

Google Scholar

[2] Qiu Lili, Gu Baonan, Analysis of Typical Layout Design in Foreign Integrated Transport Hub, Technology & Economy in Areas of Communications[J], 2000, (9): 43-49.

Google Scholar

[3] WANG Yang, Position Programming and System Evaluation of Comprehensive Transportation Terminal [D], Beijing Jiaotong university, (2004).

Google Scholar

[4] Yuan Hong, Lu Hua, Study on Model and Method of Comprehensive Transportation Terminal Planning[J], Journal of Highway and Transportation Research and Development, 2001, 3(18): 101-105.

Google Scholar

[5] LI Ming, Assignment Model and Simulated Annealing Algorithm for Optimizing the Bus Departure Line in Public Transit Hub[J], Mathematics In Practice And Theory, 2008, Vol138,  No17, 84-89.

Google Scholar

[6] LIU Yong, KANG Lishan, Non-numerical Parallel Algorithms- Genetic Algorithms[M], Science Press.

Google Scholar

[7] ZHANG Chunmei, LI Hong, LIANG Zhi-an, Adaptive Genetic Algorithms For Solving Double Standard Solid Transportation Problem[J], Acta Scientiarum Naturalium Universitatis Neimongol, 2005. 1, 15-21.

Google Scholar