Year: 2013
Type: conference-paper
Abstract: Urban transit network is mainly composed of rail transit routes and bus routes in many large cities of China. Previous studies have been made to optimal either rail transit network design or bus network design. This paper was concerned with joint optimization of a rail transit route and bus routes in a transit corridor. Firstly, a method for classifying bus routes under a given rail route transit was proposed. Then, a multi-objective model was developed for designing an integrated rail transit and bus network to maximize rail ridership and minimize total passenger travel time. An algorithm for solving the proposed model based on genetic algorithm was presented. At last, a numerical example was given. The results demonstrate feasible and effective of the proposed model and solution methodology, and show that rail ridership increases and total passenger travel time declines after optimization.
Authors: Yang Sun, Xiaonian Sun, Baoqing Li, Dehui Gao
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2064544129