Greedy dynamic programming for scheduling the advanced reservation parking demands

Shuo Yan Chou, Phan Nguyen Ky Phuc*, Vincent F. Yu, Shih Wei Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The increasing in the number of automobiles usage creates certain burdens and pressure on the issue of parking area allocations. Instead of constructing new infrastructures for serving parking demands, which requires spaces and budgets, a more efficient approach is to improve the utilization of available facilities. A promising source for utilization improvement is the private parking system. This paper assumes that space owners allow other uses their parking lots when they release spaces in order to obtain some paybacks. Due to the owner varieties, different owners have different schedules for releasing their parking spaces, the prominent feature that managers have to face when operating these spaces is the schedule diverseness. This study adopts greedy dynamic programming for scheduling the parking demands given that the vehicles have to make advanced reservations for being served.

Original languageEnglish
Title of host publicationMoving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014
EditorsShuo-Yan Chou, Josip Stjepandic, Wensheng Xu, Jianzhong Cha, Richard Curran
PublisherIOS Press BV
Pages846-851
Number of pages6
ISBN (Electronic)9781614994398
DOIs
StatePublished - 2014
Event21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014 - Beijing, China
Duration: 08 09 201411 09 2014

Publication series

NameMoving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014

Conference

Conference21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014
Country/TerritoryChina
CityBeijing
Period08/09/1411/09/14

Bibliographical note

Publisher Copyright:
© 2014 The Authors and Ios Press.

Keywords

  • Dynamic programming
  • Greedy algorithm
  • Private parking spaces
  • Scheduling

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