Assuring accuracy on low penetration rate mobile phone-based traffic state estimation system

Quang Tran Minh, Eiji Kamioka

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper investigates the effect of the penetration rate on the effectiveness of the mobile phone-based traffic state estimation. As a result, the acceptable penetration rate is identified. This recognition is useful for the investigating to bring the traffic state estimation using mobile phones as traffic probes into the real world application. In addition, an adaptive velocity-density estimation model, namely the velocity-density inference circuit, is proposed to improve the accuracy of the average velocity and the density estimations in cases of low penetration rate. Furthermore, a neural network-based prediction model is introduced to assure the effectiveness of the velocity/density estimation when the penetration rate degrades to zero. The experimental evaluations reveal the effectiveness as well as the robustness of the proposed solutions.

本文言語English
ホスト出版物のタイトル2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOI
出版ステータスPublished - 2011
イベントIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
継続期間: 2011 9 52011 9 8

出版物シリーズ

名前IEEE Vehicular Technology Conference
ISSN(印刷版)1550-2252

Conference

ConferenceIEEE 74th Vehicular Technology Conference, VTC Fall 2011
国/地域United States
CitySan Francisco, CA
Period11/9/511/9/8

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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