Paper Info
Title
Granular Quantifying Traffic States Using Mobile Probes
Abstract
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.
Year
DOI
Venue
2010
10.1109/VETECF.2010.5594113
VTC Fall
Keywords
Field
DocType
traffic jam,global positioning system,mobile handsets,gps,traffic trace,mobile phones,granular quantifying traffic states,mobile probes,mobile radio,traffic congestions detection,motorbikes,telecommunication traffic,traffic probes,vehicle classification method,developing country,sensors,servers
Mobile radio,Gps data,Computer science,Server,Transport engineering,Computer network,Real-time computing,Global Positioning System,Traffic congestion reconstruction with Kerner's three-phase theory,Traffic system,Scalability
Conference
ISSN
ISBN
Citations 
1090-3038 E-ISBN : 978-1-4244-3574-6
978-1-4244-3574-6
2
PageRank 
References 
Authors
0.43
2
2
Name
Order
Citations
PageRank
Quang Tran Minh19722.78
Eiji Kamioka29621.65