Uncertain low penetration rate - A practical issue in mobile intelligent transportation systems

Quang Tran Minh, Muhammad Ariff Baharudin, Eiji Kamioka

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

Abstract

Low penetration rate is one of the essential issues in the mobile phone based traffic state estimation model. This paper proposes an appropriate genetic algorithm (GA) mechanism to optimize the traffic state estimation model even in cases of low penetration rate. This mechanism also reduces the critical penetration rate, thus improves the error-tolerance as well as the scalability of the traffic state estimation system. The paper also investigates the ANN-based prediction model to overcome the weakness of the GA-based traffic state estimation approach when the penetration rate becomes unacceptably low. In addition, the effect of different level related road segments on the prediction effectiveness is thoroughly discussed. Consequently, this study provides practically useful instructions in verifying the data missing rate at different level related road segments to ensure the prediction accuracy. The experimental evaluations reveal the effectiveness and the robustness of the proposed solutions.

Original languageEnglish
Title of host publicationProceedings - International Conference on Advanced Information Networking and Applications, AINA
Pages237-244
Number of pages8
DOIs
Publication statusPublished - 2012
Event26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012 - Fukuoka
Duration: 2012 Mar 262012 Mar 29

Other

Other26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
CityFukuoka
Period12/3/2612/3/29

Fingerprint

State estimation
Genetic algorithms
Mobile phones
Scalability

Keywords

  • ANN
  • GA
  • genetic algorithm
  • ITS
  • low penetration rate
  • M-ITS
  • mobile probes
  • neural network

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Minh, Q. T., Baharudin, M. A., & Kamioka, E. (2012). Uncertain low penetration rate - A practical issue in mobile intelligent transportation systems. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA (pp. 237-244). [6184876] https://doi.org/10.1109/AINA.2012.36

Uncertain low penetration rate - A practical issue in mobile intelligent transportation systems. / Minh, Quang Tran; Baharudin, Muhammad Ariff; Kamioka, Eiji.

Proceedings - International Conference on Advanced Information Networking and Applications, AINA. 2012. p. 237-244 6184876.

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

Minh, QT, Baharudin, MA & Kamioka, E 2012, Uncertain low penetration rate - A practical issue in mobile intelligent transportation systems. in Proceedings - International Conference on Advanced Information Networking and Applications, AINA., 6184876, pp. 237-244, 26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012, Fukuoka, 12/3/26. https://doi.org/10.1109/AINA.2012.36
Minh QT, Baharudin MA, Kamioka E. Uncertain low penetration rate - A practical issue in mobile intelligent transportation systems. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA. 2012. p. 237-244. 6184876 https://doi.org/10.1109/AINA.2012.36
Minh, Quang Tran ; Baharudin, Muhammad Ariff ; Kamioka, Eiji. / Uncertain low penetration rate - A practical issue in mobile intelligent transportation systems. Proceedings - International Conference on Advanced Information Networking and Applications, AINA. 2012. pp. 237-244
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