At present, many intersections have various problems such as traffic congestion, frequent traffic accidents, and increasingly serious traffic pollution. How to optimize traffic flow, improve vehicle traffic efficiency, and improve the environment is a major challenge for traffic progress. Intelligent transportation system is an important way to solve traffic problems and optimize traffic flow. The full and efficient use of traffic big data plays a great role in promoting the application functions of intelligent transportation systems and thus solving traffic problems. Due to the characteristics of traffic big data such as large quantity, complex types, large spatial span, random variability, locality and short data cycle, this paper mainly establishes a traffic flow optimization model through the application management of big data in intelligent transportation system.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of big data in intelligent transportation system to optimize traffic flow


    Contributors:

    Conference:

    Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024) ; 2024 ; Guilin, China


    Published in:

    Proc. SPIE ; 13251 ; 132516O


    Publication date :

    2024-08-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    The Traffic Flow Model of Intelligent Transportation System

    Jiao, Hong Ying ;Liang, Fang Chi ;Rao, Yi | Trans Tech Publications | 2015



    Intelligent driving traffic transportation system

    DING YAFEI | European Patent Office | 2022

    Free access


    Traffic Flow Prediction For Intelligent Transportation System Using Machine Learning

    Manikandan B.V. / Nathan T.R. / Naresh R. et al. | DOAJ | 2023

    Free access