An Effective Intelligent Method for Optimal Urban Transit Network Design
Hui Zhang, Peng Zhao, Jian Gao, Chengxiang Zhuge, Xiangming Yao
An Effective Intelligent Method for Optimal Urban Transit Network Design
Hui Zhang, Peng Zhao, Jian Gao, Chengxiang Zhuge, Xiangming Yao
Abstract ：Transit network design plays a significant role in transit system
design and optimization. However, it is difficult to find an optimal
solution on the NP-Hard problem, especially balancing the benefits
between passenger demand and operational cost. Typically, a transit
trip includes four steps: walking from dwelling to the station,
waiting for the vehicle in the station, traveling in the vehicle and
transferring. Considering the four steps and fare, an improved bee
colony intelligent algorithm is proposed to settle network design.
The results show that our method is efficient and can successfully
resolve the transit network design.
Key words ：
Network Optimization
Bee Colony Algorithm
Origin-destination Demand
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2015, Vol. 12 
