A Study on the Location of Public Transport for General Studies Stops Based on DBSCAN Algorithm

DOI

10.2991/978-94-6463-570-6_12How to use a DOI?

Keywords

Paratransit; Station Selection; DBSCAN Algorithm; K-means Algorithm; Distance Constraints

Abstract

Traffic congestion is an important problem that restricts the development of society, but traffic congestion does not happen all the time, there is a regularity, auxiliary public transport is to address this characteristic, complementary to the traditional public transport. For the bus system, the selection of the appropriate station location can meet the demand of the nearest passenger drop-off, improving the quality of services and increase the passenger load factor. In this paper, drawing on the improved DBSCAN algorithm, the idea of determining two parameters in the best clustering result of K-means algorithm is proposed to determine another parameter by distance constraints under the condition of considering walking distance constraints. Finally, the feasibility and applicability of the improved DBSCAN algorithm considering distance constraints are verified through the selection of the location of stops a public transport for general studies, which provides a basis for the setting of auxiliary bus stops.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ziqi Wei
AU  - Liangshan Shao
AU  - Weifeng Zhong
PY  - 2024
DA  - 2024/11/22
TI  - A Study on the Location of Public Transport for General Studies Stops Based on DBSCAN Algorithm
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 108
EP  - 113
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_12
DO  - 10.2991/978-94-6463-570-6_12
ID  - Wei2024
ER  -