Literature Database Entry

kanemaru2013vehicle


Yohei Kanemaru, Satoshi Matsuura, Masatoshi Kakiuchi, Satoru Noguchi, Atsuo Inomata and Kazutoshi Fujikawa, "Vehicle clustering algorithm for sharing information on traffic congestion," Proceedings of 13th International Conference on Intelligent Transportation Systems Telecommunications (ITST 2013), Tampere, Finland, November 2013, pp. 38–43.


Abstract

We present a method for clustering vehicles that are in the same congested traffic flow. Our goal is to provide a mechanism for sharing information between vehicles in the same situation to ease traffic congestion in urban areas. Because the most accurate source of information about the congested traffic flow is the vehicle at the head of the traffic flow, it first needs to be identified. To do so, we adapt a clustering algorithm by trajectory abstraction. By grouping the vehicles that have the same or similar trajectory into the same cluster, the vehicle at the tail of the traffic flow can discover the vehicle at the head of the traffic flow. Moreover, we adapt an abstracted trajectory representation to compensate for the error in GPS information. Simulation results show that the proposed algorithm provides a higher rate of correctness than existing commonly used clustering algorithms.

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Yohei Kanemaru
Satoshi Matsuura
Masatoshi Kakiuchi
Satoru Noguchi
Atsuo Inomata
Kazutoshi Fujikawa

BibTeX reference

@inproceedings{kanemaru2013vehicle,
    author = {Kanemaru, Yohei and Matsuura, Satoshi and Kakiuchi, Masatoshi and Noguchi, Satoru and Inomata, Atsuo and Fujikawa, Kazutoshi},
    doi = {10.1109/ITST.2013.6685518},
    title = {{Vehicle clustering algorithm for sharing information on traffic congestion}},
    pages = {38--43},
    publisher = {IEEE},
    address = {Tampere, Finland},
    booktitle = {13th International Conference on Intelligent Transportation Systems Telecommunications (ITST 2013)},
    month = {11},
    year = {2013},
   }
   
   

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