@inproceedings{a28bc58845554ce0a1f443eaa1787b32,
title = "School bus routing problem based on ant colony optimization algorithm",
abstract = "As an important aspect of the educational service, school bus plays a significant role in student's daily travel. School bus routing problem is an important part of school bus transport system. Rational optimization of the school bus routing operation can reduce the cost of school bus service and bring convenience to students and their families, so it has theoretical and practical significance. This paper studies the related model and algorithm of school bus routing problem. For single-center and single-vehicle problem, mathematical model is built. As a case, a secondary school in Beijing is selected and analyzed intensively. The strategy of location-allocation-routing is used to complete the questionnaire analysis, address distribution analysis, stops selection and route generation. Then the problem is solved by ant colony optimization algorithm. The results show that the model proposed in this paper is applicable to real life.",
keywords = "ant colony optimization, routing, school bus, single-center",
author = "Lingmei Huo and Guifeng Yan and Bowen Fan and Hongzhou Wang and Weitao Gao",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 ; Conference date: 31-08-2014 Through 03-09-2014",
year = "2014",
month = oct,
day = "30",
doi = "10.1109/ITEC-AP.2014.6940973",
language = "English",
series = "IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings",
address = "United States",
}