@inproceedings{03c9a893dc9f48acbb86a1610d3ef94c,
title = "The route optimization and fare setting research of feeder transit system related to urban rail transit",
abstract = "Nowadays, many passengers use transit systems to reach their destinations. By designing a well-integrated public transit system and improving the cost-effectiveness network, the public transport could play a crucial role in passenger satisfaction and reducing the operating cost. The main target of this paper is to present a new mathematical programming model and design an efficient transit system to increase the efficiency of integrated public transit services through the development of feeder bus services and coordination of major transportation services with the aim of maximizing the utility of operators and passengers. In this study, optimized transit services and coordinated schedules are developed using genetic algorithm. The data used and the coordination were obtained from a case study widely provided in the literature. Finally, obtained numerical results of the proposed model are discussed in detail using tables and figures.",
keywords = "fare setting, feeder transit, genetic algorithm, route optimization, urban rail transit",
author = "Wenru Yu and Yuan Gao",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021 ; Conference date: 29-01-2021 Through 31-01-2021",
year = "2021",
month = jan,
doi = "10.1109/ICUEMS52408.2021.00035",
language = "English",
series = "Proceedings - 2021 2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "136--139",
booktitle = "Proceedings - 2021 2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021",
address = "United States",
}
