Context-aware mobile intelligent transportation systems

Minh Quang Tran, Muhammad Ariff Baharudin, Eiji Kamioka

研究成果: Conference contribution

抄録

This paper proposes a practical quantification model for mobile phone based traffic state estimation systems (M-TES). The low penetration rate issue, an inherent issue impeding the realization of a mobile phone based application such as the M-TES, is thoroughly discussed. A notable solution framework, namely the intelligent context-aware velocity-density inference circuit (ICIC), is proposed to effectively resolve the low penetration rate issue. In the ICIC model, velocities and densities calculated directly from the sensed data and inferred by using different inference models such as the Greeshields or the moving average model are appropriately integrated. In addition, appropriate contexts extracted from data reported by mobile devices are utilized to identify the optimal estimation parameters leading to the optimal estimation effectiveness. The experimental evaluations reveal the effectiveness and the robustness of the proposed solutions.

本文言語English
ホスト出版物のタイトル2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
DOI
出版ステータスPublished - 2012
イベント76th IEEE Vehicular Technology Conference, VTC Fall 2012 - Quebec City, QC, Canada
継続期間: 2012 9 32012 9 6

出版物シリーズ

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

Conference

Conference76th IEEE Vehicular Technology Conference, VTC Fall 2012
国/地域Canada
CityQuebec City, QC
Period12/9/312/9/6

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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