During the last decade, the concept of cluster, has become a popular practice in the field of road safety, mainly for the identification of worst performing areas or time slots also known as hotspots. However, current clustering methods used to identify road accident hotspots suffer from various deficiencies at both theoretical and operational level, these include parameter sensitivity, identify difficultly on arbitrary shape, and cluster number's rationality. The objective of this study is to contribute to the ongoing research effort on hotspots identification. Employing the concept of natural neighbor, a new algorithm, named distance threshold based on natural nearest neighbor (DTH3N), is proposed in this paper, striving to minimize the aforementioned deficiencies of the current approaches. Experiment results show that, comparing with existing methods, proposed algorithm presents a better performance on cluster division. Furthermore, this new method can be viewed as an intelligent decision support basis for road safety performance evaluation, in order to prioritize interventions for road safety improvement.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Road Hotspots Identification Method Based on Natural Nearest Neighbor Clustering


    Contributors:
    Han, Qingwen (author) / Zhu, Yingxiang (author) / Zeng, Lingqiu (author) / Ye, Lei (author) / He, Xueying (author) / Liu, Xiaoying (author) / Wu, Haotian (author) / Zhu, Qingsheng (author)


    Publication date :

    2015-09-01


    Size :

    818820 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Clustering Categorical Sequences Using a K-Nearest-Neighbor Method

    Oh, S.-J. / Kim, J.-Y. | British Library Online Contents | 2005




    3DNN: 3D Nearest Neighbor

    Satkin, S. / Rashid, M. / Lin, J. et al. | British Library Online Contents | 2015


    Attack identification method based on K nearest neighbor algorithm and charging device

    LIN ZIZHAO / XU CHENGBIN / HUANG ZHIWEI et al. | European Patent Office | 2020

    Free access