科研之友
微信
新浪微博
Facebook
分享链接
摘要
In order to minimize the total time cost of all the trips, a new transit network optimization model is developed in consideration of reducing not only time-consuming transfers but also trips which have to make relatively more transfers by optimizing the layout of the transit routes. In contrast to commonly taking the time cost of a transfer in a trip roughly as a constant in a public transit network design work, this research attaches much importance to the effect of the transfer time composition on the total time expense of a transit trip. A genetic algorithm is proposed to solve the newly developed optimization model. The bus route network in an urban region of a city in China is studied for example in this research. It is confirmed that the new optimization model solved by the proposed genetic algorithm is able to more rationally provide the optimal solution to the design of a relatively large-scaled transit network for its efficient operation. In future research, more experiments are necessary to further validate and improve the effectiveness and efficiency of applying the new model solved by the proposed genetic algorithm.
