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Mathematical Problems in Engineering
Volume 2012, Article ID 389086, 10 pages
Review Article

Bus Dispatching Interval Optimization Based on Adaptive Bacteria Foraging Algorithm

Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

Received 4 September 2012; Accepted 14 November 2012

Academic Editor: Rui Mu

Copyright © 2012 Zhong-hua Wei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The improved bacterial foraging algorithm was applied in this paper to schedule the bus departing interval. Optimal interval can decrease the total operation cost and passengers’ mean waiting time. The principles of colony sensing, chemotactic action, and improved foraging strategy made this algorithm adaptive. Based on adaptive bacteria foraging algorithm (ABFA), a model on one bus line in Hohhot city in China was established and simulated. Two other algorithms, original bacteria foraging algorithm (BFA) and genetic algorithm (GA), were also used in this model to decide which one could greatly accelerate convergence speed, improve searching precision, and strengthen robustness. The final result showed that ABFA was most feasible in optimizing variables.