Context-aware mobile intelligent transportation systems

Minh Quang Tran, Muhammad Ariff Baharudin, Eiji Kamioka

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトル2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
DOI
出版物ステータスPublished - 2012 12 1
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(印刷物)1550-2252

Conference

Conference76th IEEE Vehicular Technology Conference, VTC Fall 2012
Canada
Quebec City, QC
期間12/9/312/9/6

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

フィンガープリント Context-aware mobile intelligent transportation systems' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Tran, M. Q., Baharudin, M. A., & Kamioka, E. (2012). Context-aware mobile intelligent transportation systems. : 2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings [6398916] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2012.6398916