Traffic: A smartphone-Based traffic information system

Yi Ta Chuang, Tsi-Ui Ik*, Yin Chih Lu, Pei Chuan Tsai

*Corresponding author for this work

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

6 Scopus citations

Abstract

We propose the i-Traffic system that utilizes crowdsourced data from smartphones for the traffic flow mining by shockwave techniques. Shockwave is the propagation phenomenon of vehicle accumulation or relief on roads between two traffic flows with different speeds. The movement data of vehicles in front of an intersection are collected via smartphones for the shockwave identification. To conquer the low penetration problem when the number of the movement data is low, a folding heuristic is proposed by using traffic light cycle information to virtually increase the penetration of movement data. We implement our system on a client-server architecture and perform a small scale field trial experiment to demonstrate the system capability. Our results showed that our system is able to compute traffic information, including red/green light transition information and vehicle arrival rate with mean absolute errors of 5.0/0.6 seconds and 2.43 vehicles per minute, respectively under a low penetration rate of 1.2%.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationInternational Conference on Parallel Processing - The 42nd Annual Conference, ICPP 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages917-922
Number of pages6
ISBN (Print)9780769551173
DOIs
StatePublished - 1 Jan 2013
Event42nd Annual International Conference on Parallel Processing, ICPP 2013 - Lyon, France
Duration: 1 Oct 20134 Oct 2013

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918

Conference

Conference42nd Annual International Conference on Parallel Processing, ICPP 2013
CountryFrance
CityLyon
Period1/10/134/10/13

Keywords

  • Crowdsourcing
  • Green computing
  • Intelligent transportation
  • Location-based service

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  • Cite this

    Chuang, Y. T., Ik, T-U., Lu, Y. C., & Tsai, P. C. (2013). Traffic: A smartphone-Based traffic information system. In Proceedings: International Conference on Parallel Processing - The 42nd Annual Conference, ICPP 2013 (pp. 917-922). [6687433] (Proceedings of the International Conference on Parallel Processing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPP.2013.109