An Efficient Solving Method to Vehicle and Passenger Matching Problem for Sharing Autonomous Vehicle System
Joint Authors
Wu, Xinkai
Li, Ming
Zheng, Nan
Li, Weihua
Wu, Jianhua
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
With the potential of increasing mobility and reducing cost, shared mobility of autonomous vehicles (AVs) is going to gain solid growth in the coming decade.
The major issue for the shared use of AVs is how to project serving routes in an efficiently way.
From another perspective, this issue could be understood as to segment maximum number of passengers into groups.
Therefore, this paper intends to investigate passengers’ similarity instead of directly matching AVs and passengers.
The goal is to determine the minimum number of groups and assign each group with an AV.
To this end, a cluster-based algorithm is proposed to classify passengers.
Numerical experiments with both small-size and large-size demands are performed to present the validity of the proposed algorithm.
Results indicate that the cluster-based algorithm could bring benefit to minimizing the number of vehicles and total travel distance.
At last, sensitivity analysis of key parameters shows that vehicle capacity will have little impact when the number of seats exceeds four, and time windows could make continuous influence on gathering passengers.
American Psychological Association (APA)
Li, Ming& Zheng, Nan& Wu, Xinkai& Li, Weihua& Wu, Jianhua. 2020. An Efficient Solving Method to Vehicle and Passenger Matching Problem for Sharing Autonomous Vehicle System. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175533
Modern Language Association (MLA)
Li, Ming…[et al.]. An Efficient Solving Method to Vehicle and Passenger Matching Problem for Sharing Autonomous Vehicle System. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1175533
American Medical Association (AMA)
Li, Ming& Zheng, Nan& Wu, Xinkai& Li, Weihua& Wu, Jianhua. An Efficient Solving Method to Vehicle and Passenger Matching Problem for Sharing Autonomous Vehicle System. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175533
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175533