Modeling and Analysis for Optimization Mode of City Bus Operator Scheduling Management

Abstract:

This paper proposes a bus route scheduling management model based on Ant Colony Optimization and traditional scheduling model. It optimizes the existing bus route scheduling management model according to Ant Colony algorithm, enhances the performance of both Ant Colony algorithm and the traditional scheduling model, and improves the optimal performance of the combining algorithm. The experiment results show that, the proposed algorithm can effectively deal with the bus route scheduling management, and the optimization result obtained is obviously better than the traditional algorithms. Furthermore, it solve the problems exist in the traditional algorithms, therefore has great application value.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3220-3223
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3220
• Online since: February 2014
• Authors: Yu Jie Liu*
• Keywords: Ant Colony Algorithm, Buses, Scheduling

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