Intelligent transport systems have efficiently and effectively proved themselves in settling up the problem of traffic congestion around the world. The multi-agent based transportation system is one of the most important intelligent transport systems, which represents an interaction among the neighbouring vehicles, drivers, roads, infrastructure and vehicles. In this paper, two traffic management models have been created to mitigate congestion and to ensure that emergency vehicles arrive as quickly as possible. A tool-chain SUMO-JADE is employed to create a microscopic simulation symbolizing the interactions of traffic. The simulation model has showed a significant reduction of at least 50% in the average time delay and thus a real improvement in the entire journey time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Intelligent transportation systems to mitigate road traffic congestion


    Additional title:

    Intelligent transportation systems to mitigate road traffic congestion


    Contributors:

    Published in:

    Intelligenza Artificiale ; 15 , 2 ; 91-104


    Publication date :

    2022-02-04


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    System and method for determining regular and non-regular road congestion to mitigate congestion

    BAI FAN / GRIMM DONALD K / KRAJEWSKI PAUL E et al. | European Patent Office | 2023

    Free access

    Road congestion processing method and device based on intelligent traffic

    REN YUNSAI / DENG ZHIWEI / ZHANG SHUMIN | European Patent Office | 2021

    Free access

    Road Traffic and Congestion dataset

    Wang, Jingyuan | DataCite | 2024