In the contemporary world, transportation is one of the foremost necessities for modern society, particularly within urban locales. Effective traffic management and planning represent indispensable tasks to maintain a seamless traffic flow and reduce congestion. To achieve this objective, traffic simulation data plays a pivotal role by furnishing intricate insights into traffic patterns, vehicle positions, events, and other pertinent aspects of a specific area. The visualization of traffic simulation data assumes paramount importance, serving as a vital tool for comprehending this information and making informed decisions. This paper provides a comprehensive review of the state of the art regarding web-based visualization techniques focused on traffic data provided by simulators, especially Multi-Agent Transport Simulation (MATSim). In addition, it will shed light on the most commonly employed features designed to facilitate the temporal analysis of traffic data, encompassing movement and congestion patterns. These resources hold significant potential for transport planners and traffic management professionals in creating web-based visualizations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Visual Analytic of Traffic Simulation Data: A Review


    Additional title:

    Communic.Comp.Inf.Science



    Conference:

    Ibero-American Congress of Smart Cities ; 2023 ; Mexico City and Cuernavaca, Mexico November 13, 2023 - November 17, 2023



    Publication date :

    2024-02-01


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A Visual Analytic Approach to Analyze Highway Vehicular Traffic

    Buono, Paolo / Legretto, Alessandra / Ferilli, Stefano et al. | IEEE | 2018


    Data-driven Traffic Simulation: A Comprehensive Review

    Chen, Di / Zhu, Meixin / Yang, Hao et al. | ArXiv | 2023

    Free access

    Monocular Visual Traffic Surveillance: A Review

    Zhang, Xingchen / Feng, Yuxiang / Angeloudis, Panagiotis et al. | IEEE | 2022


    Data-Driven Traffic Simulation: A Comprehensive Review

    Chen, Di / Zhu, Meixin / Yang, Hao et al. | IEEE | 2024


    Visual Analysis of Air Traffic Data

    G. H. Albrecht / A. Pang | NTIS | 2012