Research on multi-objective bus route planning model based on taxi GPS data

Shuo Lei; Zexi Li; Binglin Wu; Haiquan Wang

doi:10.1109/CyberC.2016.56

Research on multi-objective bus route planning model based on taxi GPS data

Shuo Lei
, Zexi Li
, Binglin Wu
, Haiquan Wang

软件学院

Beihang University
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

7 引用（Scopus）

摘要

Effective bus route planning is important for management to solve the traffic problems. In this paper, we analyze the spatiotemporal characteristics of resident trips from real GPS data of taxi in the city of Beijing, China and find that it has significant sub-period and cyclical characteristics. Besides we design Multiobjective Bus Route Plan Model based on ant colony algorithm by considering the travel characteristics of residents. The result of the model shows that it can provide the solution of bus routes with stronger transportation and less travel time. And the discovered hotspots match the travelers' experience.

源语言	英语
主期刊名	Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016
编辑	Bin Xie, Xiaolong Xu
出版商	Institute of Electrical and Electronics Engineers Inc.
页	249-255
页数	7
ISBN（电子版）	9781509051540
DOI	https://doi.org/10.1109/CyberC.2016.56
出版状态	已出版 - 23 2月 2017
活动	8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016 - Chengdu, 中国期限: 13 10月 2016 → 15 10月 2016

出版系列

姓名	Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016

会议

会议	8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016
国家/地区	中国
市	Chengdu
时期	13/10/16 → 15/10/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 11 可持续城市和社区

访问文件

10.1109/CyberC.2016.56

其它文件与链接

链接到 Scopus 的出版物

引用此

Lei, S., Li, Z., Wu, B., & Wang, H. (2017). Research on multi-objective bus route planning model based on taxi GPS data. 在 B. Xie, & X. Xu (编辑), Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016 (页码 249-255). 文章 7864241 (Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CyberC.2016.56

Lei, Shuo ; Li, Zexi ; Wu, Binglin 等. / Research on multi-objective bus route planning model based on taxi GPS data. Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016. 编辑 / Bin Xie ; Xiaolong Xu. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 249-255 (Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016).

@inproceedings{0510ef6225dd48ffb493900fd5d2141a,

title = "Research on multi-objective bus route planning model based on taxi GPS data",

abstract = "Effective bus route planning is important for management to solve the traffic problems. In this paper, we analyze the spatiotemporal characteristics of resident trips from real GPS data of taxi in the city of Beijing, China and find that it has significant sub-period and cyclical characteristics. Besides we design Multiobjective Bus Route Plan Model based on ant colony algorithm by considering the travel characteristics of residents. The result of the model shows that it can provide the solution of bus routes with stronger transportation and less travel time. And the discovered hotspots match the travelers' experience.",

keywords = "Ant colony algorithm, Residents travel characteristics, Route planning, Taxi GPS data",

author = "Shuo Lei and Zexi Li and Binglin Wu and Haiquan Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016 ; Conference date: 13-10-2016 Through 15-10-2016",

year = "2017",

month = feb,

day = "23",

doi = "10.1109/CyberC.2016.56",

language = "英语",

series = "Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "249--255",

editor = "Bin Xie and Xiaolong Xu",

booktitle = "Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016",

address = "美国",

}

Lei, S, Li, Z, Wu, B & Wang, H 2017, Research on multi-objective bus route planning model based on taxi GPS data. 在 B Xie & X Xu (编辑), Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016., 7864241, Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016, Institute of Electrical and Electronics Engineers Inc., 页码 249-255, 8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016, Chengdu, 中国, 13/10/16. https://doi.org/10.1109/CyberC.2016.56

Research on multi-objective bus route planning model based on taxi GPS data. / Lei, Shuo; Li, Zexi; Wu, Binglin 等.
Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016. 编辑 / Bin Xie; Xiaolong Xu. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 249-255 7864241 (Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Research on multi-objective bus route planning model based on taxi GPS data

AU - Lei, Shuo

AU - Li, Zexi

AU - Wu, Binglin

AU - Wang, Haiquan

PY - 2017/2/23

Y1 - 2017/2/23

N2 - Effective bus route planning is important for management to solve the traffic problems. In this paper, we analyze the spatiotemporal characteristics of resident trips from real GPS data of taxi in the city of Beijing, China and find that it has significant sub-period and cyclical characteristics. Besides we design Multiobjective Bus Route Plan Model based on ant colony algorithm by considering the travel characteristics of residents. The result of the model shows that it can provide the solution of bus routes with stronger transportation and less travel time. And the discovered hotspots match the travelers' experience.

AB - Effective bus route planning is important for management to solve the traffic problems. In this paper, we analyze the spatiotemporal characteristics of resident trips from real GPS data of taxi in the city of Beijing, China and find that it has significant sub-period and cyclical characteristics. Besides we design Multiobjective Bus Route Plan Model based on ant colony algorithm by considering the travel characteristics of residents. The result of the model shows that it can provide the solution of bus routes with stronger transportation and less travel time. And the discovered hotspots match the travelers' experience.

KW - Ant colony algorithm

KW - Residents travel characteristics

KW - Route planning

KW - Taxi GPS data

UR - https://www.scopus.com/pages/publications/85015827026

U2 - 10.1109/CyberC.2016.56

DO - 10.1109/CyberC.2016.56

M3 - 会议稿件

AN - SCOPUS:85015827026

T3 - Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016

SP - 249

EP - 255

BT - Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016

A2 - Xie, Bin

A2 - Xu, Xiaolong

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016

Y2 - 13 October 2016 through 15 October 2016

ER -

Lei S, Li Z, Wu B, Wang H. Research on multi-objective bus route planning model based on taxi GPS data. 在 Xie B, Xu X, 编辑, Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 249-255. 7864241. (Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016). doi: 10.1109/CyberC.2016.56

Research on multi-objective bus route planning model based on taxi GPS data

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此