Modeling urban trip demands in cloud-commuting system: A holistic approach

Guanxiong Liu, Menghai Pan, Yanhua Li, Zhi Li Zhang, Jun Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Rapid pace of global urbanization has posed significant challenges to urban transportation infrastructures. Existing urban transit systems suffer many well-known shortcomings, where public transits have limits on coverage areas, and fixed schedules, and private transits are expensive and fail to timely meet the demand needs. We thus envision a Cloud-Commuting system, that employs a giant pool of centralized taxis/shuttles to better cope with the dynamic urban trip demands. To better understand the feasibility of such a system, in this paper we develop generative models to capture fundamental demand arrival and service patterns, and introduce a novel model to estimate the total number of vehicles needed to serve all urban demands. We conduct experiments using large scale urban taxi trajectory data from Shenzhen, China, and compare our proposed models with empirical baselines. We obtained promising results, which shed great lights on future smart transportation system designs.

Original languageEnglish (US)
Title of host publication2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages857-862
Number of pages6
ISBN (Electronic)9781538627846
DOIs
StatePublished - Nov 20 2017
Event2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 - Atlanta, United States
Duration: May 1 2017May 4 2017

Publication series

Name2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017

Other

Other2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
CountryUnited States
CityAtlanta
Period5/1/175/4/17

Keywords

  • Cloud-Commuting
  • Queuing theory
  • Urban computing

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    Liu, G., Pan, M., Li, Y., Zhang, Z. L., & Luo, J. (2017). Modeling urban trip demands in cloud-commuting system: A holistic approach. In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 (pp. 857-862). [8116488] (2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2017.8116488