@inproceedings{56e0a49429054973b44a906efdaaad19,
title = "NTRDM: A new bus line network optimization method based on taxi passenger flow conversion",
abstract = "The large amount of traffic data collected by urban traffic mobile terminals and sensing equipments provides us the opportunity to study group travel patterns and laws. In this paper, we built a New Transit Require Design Module (NTRDM) from the perspective of passenger flow conversion based on multi-source traffic data, which realized the adjustment and optimization of the current bus network. Specifically, CTDaaS was used for data fusion and processing to protect the passengers{\textquoteright} privacy. Then we established the NTRDM with minimum transfer time as the optimization goal, and proposed the Three-Step site adjustment method, which was solved with ant colony algorithm. Finally, we verified the calculating results with real data. Experimental results demonstrated the effectiveness of our method.",
keywords = "Ant colony algorithm, CTDaaS service, Heuristic search, Intelligent transportation, Passenger flow conversion",
author = "Bo Huang and Guixi Xiong and Zhipu Xie and Shangfo Huang and Bowen Du",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 11th International Conference on Security, Privacy and Anonymity in Computation, Communication, and Storage, SpaCCS 2018 ; Conference date: 11-12-2018 Through 13-12-2018",
year = "2018",
doi = "10.1007/978-3-030-05345-1\_29",
language = "英语",
isbn = "9783030053444",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "341--350",
editor = "Yang, \{Laurence T.\} and Guojun Wang and Jinjun Chen",
booktitle = "Security, Privacy, and Anonymity in Computation, Communication, and Storage - 11th International Conference and Satellite Workshops, SpaCCS 2018, Proceedings",
address = "德国",
}