Granular quantifying traffic states using mobile probes

Quang Tran Minh, Eiji Kamioka

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

This paper proposes a novel method for detecting traffic congestions, qualifying and quantifying congestion levels using mobile phones as traffic probes. The system provides a robust mechanism for granularly comparing the seriousness of different congested areas. Congested areas are detected in a detailed manner by which exact congested positions are reported. Moreover, congestions can be detected even though no complete traffic trace due to the traffic jam is collected. This feature is quite different from, and makes the system more robust compared to the previous ones. This project also consists of a reasonable vehicle classification method based on only GPS data. This mechanism improves not only the effectiveness and the accuracy but also the scalability, thus the system is flexibly applicable for any traffic system structure, especially in developing countries where a lot of motorbikes are travelling on the roads. The evaluation reveals that the proposed ideas are novel which are not discussed in the existing work.

本文言語English
ホスト出版物のタイトル2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings
DOI
出版ステータスPublished - 2010 12 1
イベント2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Ottawa, ON, Canada
継続期間: 2010 9 62010 9 9

出版物シリーズ

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

Conference

Conference2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall
国/地域Canada
CityOttawa, ON
Period10/9/610/9/9

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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