Granular quantifying traffic states using mobile probes

Quang Tran Minh, Eiji Kamioka

研究成果: Conference contribution

10 被引用数 (Scopus)


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.

ホスト出版物のタイトル2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings
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


名前IEEE Vehicular Technology Conference


Conference2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall
CityOttawa, ON

ASJC Scopus subject areas

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

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