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Car-Sharing between Two Locations: Online Scheduling with Flexible Advance Bookings

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conference contribution
posted on 2018-06-04, 08:41 authored by Kelin Luo, Thomas Erlebach, Yinfeng Xu
We study an on-line scheduling problem that is motivated by applications such as car-sharing. Users submit ride requests, and the scheduler aims to accept requests of maximum total profit using a single server (car). Each ride request specifies the pick-up time and the pick-up location (among two locations, with the other location being the destination). The scheduler has to decide whether or not to accept a request immediately at the time when the request is submitted (booking time). We consider two variants of the problem with respect to constraints on the booking time: In the fixed booking time variant, a request must be submitted a fixed amount of time before the pick-up time. In the variable booking time variant, a request can be submitted at any time during a certain time interval that precedes the pick-up time. We present lower bounds on the competitive ratio for both variants and propose a greedy algorithm that achieves the best possible competitive ratio.

Funding

This work was partially supported by the China Postdoctoral Science Foundation (Grant No. 2016M592811), and the China Scholarship Council (Grant No. 201706280058).

History

Citation

Proceedings of the 24th International Computing and Combinatorics Conference (COCOON 2018), Lecture Notes in Computer Science, 2018, 10976, pp 242-254

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

24th International Computing and Combinatorics Conference, Qingdao, China

Version

  • AM (Accepted Manuscript)

Published in

Proceedings of the 24th International Computing and Combinatorics Conference (COCOON 2018)

Publisher

Springer Verlag (Germany)

issn

0302-9743

Acceptance date

2018-04-27

Copyright date

2018

Available date

2018-09-07

Publisher version

https://link.springer.com/chapter/10.1007/978-3-319-94776-1_21

Temporal coverage: start date

2018-07-02

Temporal coverage: end date

2018-07-04

Language

en

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