MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework

• Item type: Journal(1)
• 公開日: 2013-01-15
• タイトル: MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework
• タイトル / 言語: en
• タイトル: MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：情報通信社会の新潮流をつくるモバイル通信と高度交通システム] mobile phone based ITS, traffic state estimation, mobile context-aware, penetration rate, inference circuit
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Shibaura Institute of Technology
• 著者所属: Shibaura Institute of Technology
• 著者所属: Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者名: QuangTranMinh; MuhammadAriffBaharudin; Eiji, Kamioka
• 著者名(英): Quang, TranMinh; Muhammad, AriffBaharudin; Eiji, Kamioka
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: This paper proposes a notable mobile phone based context-aware traffic state estimation (MC-TES) framework whereby the essential issues of low and uncertain penetration rate are thoroughly resolved. A novel intelligent context-aware velocity-density inference circuit (ICIC) and a practical artificial neural network (ANN) based prediction approach are proposed. The ICIC model not only improves the traffic state estimation effectiveness but also minimizes the critical penetration rate required in the mobile phone based traffic state estimation (M-TES). The ANN-based prediction approach is considered as a complement of the ICIC in cases of an unacceptably low or unknown penetration rate. In addition, the difficulty in selecting the “right” traffic state estimation model, namely among the ICIC and the ANN, under the condition of an uncertain penetration rate is resolved. The experimental evaluations confirm the effectiveness, the feasibility as well as the robustness of the proposed approaches. As a result, this research contributes to accelerating the realization of mobile phone-based intelligent transportation systems (M-ITSs) or of the M-TES systems in specific.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.21(2013) No.1 (online); DOI http://dx.doi.org/10.2197/ipsjjip.21.76; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: This paper proposes a notable mobile phone based context-aware traffic state estimation (MC-TES) framework whereby the essential issues of low and uncertain penetration rate are thoroughly resolved. A novel intelligent context-aware velocity-density inference circuit (ICIC) and a practical artificial neural network (ANN) based prediction approach are proposed. The ICIC model not only improves the traffic state estimation effectiveness but also minimizes the critical penetration rate required in the mobile phone based traffic state estimation (M-TES). The ANN-based prediction approach is considered as a complement of the ICIC in cases of an unacceptably low or unknown penetration rate. In addition, the difficulty in selecting the “right” traffic state estimation model, namely among the ICIC and the ANN, under the condition of an uncertain penetration rate is resolved. The experimental evaluations confirm the effectiveness, the feasibility as well as the robustness of the proposed approaches. As a result, this research contributes to accelerating the realization of mobile phone-based intelligent transportation systems (M-ITSs) or of the M-TES systems in specific.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.21(2013) No.1 (online); DOI http://dx.doi.org/10.2197/ipsjjip.21.76; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 54, 号 1, 発行日 2013-01-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764