Traffic systems can be greatly affected by factors such as accidents and weather. In particular, bad weather can have a big impact on travel time and traffic In this paper, we try to predict the traffic volume according to weather variables using the ARIMA model and the LSTM model. For traffic volume and weather data, data from the "Siheung TG of Seoul Outer Ring Expressway" was used, and performance evaluation was performed using RMSE and MAPE.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis of the Predictive Power of Highway Traffic Flow with Weather Conditions


    Contributors:
    Kang, Minji (author) / Park, Hyeonju (author) / Han, Chungku (author) / Gim, Gwangyong (author)


    Publication date :

    2022-08-04


    Size :

    505753 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Highway traffic flow prediction method based on weather conditions

    WENG JINSONG / DONG SHENGPING | European Patent Office | 2023

    Free access

    Warning Grading Method for Highway Network Traffic Conditions under Foggy Weather

    Tang, Junjun / Li, Changcheng / Zhao, Nale | ASCE | 2011


    Effects of Road and Weather Conditions on Traffic Flow on a Three-Lane Rural Highway in Finland

    Enberg, A. / Mannan, S. / Permanent International Association of Road Congress | British Library Conference Proceedings | 1998



    Characterization of highway traffic flow under the influence of non-predictive events

    Liu, Jia / Song, Xiang-hui / Yang, Xiao-lei | SPIE | 2024