M2M-enabled real-time Trip Planner

Eduardo Cerritos, Fuchun Lin

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

Abstract

Uncertainty is a key factor that prevents a commuter from using public transportation system. More and more transportation agencies are incorporating real-time Trip Planners to empower commuters with opportune information. However, such systems require continuous status updates from the vehicles and involves expensive communication cost. In this paper we propose an architecture that takes advantage of Machine-to-Machine Communication concepts and provides a degree of intelligence to the vehicles, to alleviate unnecessary communication between the vehicles and the Trip Planner.

Original languageEnglish
Title of host publication2014 20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014 - Proceedings
PublisherIEEE Computer Society
Pages886-891
Number of pages6
ISBN (Electronic)9781479976157
DOIs
StatePublished - 1 Jan 2014
Event20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014 - Hsinchu, Taiwan
Duration: 16 Dec 201419 Dec 2014

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2015-April
ISSN (Print)1521-9097

Conference

Conference20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014
CountryTaiwan
CityHsinchu
Period16/12/1419/12/14

Keywords

  • Intelligent Transportation Systems
  • Machine-to-Machine Communication
  • Trip Planner

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  • Cite this

    Cerritos, E., & Lin, F. (2014). M2M-enabled real-time Trip Planner. In 2014 20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014 - Proceedings (pp. 886-891). [7097902] (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/PADSW.2014.7097902