When vehicles and pedestrians increase greatly, road traffic accidents occur frequently, which attracts our attention. In order to solve that problem, it is necessary for us to make reasonable evaluation on the road safety level. This paper will adopt fuzzy clustering analysis, fuzzy mathematics and relative knowledge to make clustering analysis on the road safety level. We can set up some road safety policies and measures based on the result of fuzzy clustering on the road safety level. For example, government departments can increase the number of traffic police or traffic lights and so on. For a new road, we can classify it into the existing classes according to the collected data to improve the management and reduce the number of accidents.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Classification of road safety based on fuzzy clustering


    Contributors:
    Renyuan Wang (author) / Yan Chen (author) / Taoying Li (author) / Penghui Li (author) / Junxiong Sun (author)


    Publication date :

    2013-07-01


    Size :

    252137 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Vehicle Dimensions Based Passenger Car Classification using Fuzzy and Non-Fuzzy Clustering Methods

    Niroomand, Naghmeh / Bach, Christian / Elser, Miriam | Transportation Research Record | 2021

    Free access

    Clustering Analysis of Drivers Based on Behavioral Characteristics Regarding Road Safety

    Shirmohammadi, Hamid / Hadadi, Farhad / Saeedian, Moatasem | Springer Verlag | 2019


    DRIVER SCORING SYSTEM AND METHOD WITH ACCIDENT PRONENESS FILTERING USING ALERT CLUSTERING AND SAFETY-WARNING BASED ROAD CLASSIFICATION

    SRIVASTAVA MASHRIN / MANSOOR MUVAZIMA / LAWRENCE SEAN J et al. | European Patent Office | 2022

    Free access

    Safety Evaluation of Road Traffic Facilities Based on Fuzzy AHM

    Liu, Shuo / Zhang, Lanfang / Fang, Shouen | ASCE | 2011