In India, the road traffic problem is taking serious shape, roads here and there, vehicles everywhere! But not a little place for your vehicle to reach the destination. The key issue that most megapolises face is traffic congestion even after dealing with the many techniques to reduce it. Traffic congestion has become one of the major challenges for engineers, planners, and policymakers in urban areas. An increase in traffic congestion has an impact on the air quality of the urban area. In this project, we study traffic congestion in urban. The proposed work aims at comparing the efficiency of the routing algorithm used as a traffic network. A central traffic management system is used in which routes of all the vehicles are determined centrally and a simulation of real-world traffic light controls the vehicle movement based on traffic density. In a static time-dependent network, routing techniques are assessed based on the shortest path algorithm. The effect of the routing method is analyzed based on the overall amount of travel time. The efficiency of the algorithms is compared with the help of simulation of real-world traffic. A* tends to perform better in all parameters when subjected to large landscapes and the A3C algorithm is most suitable for traffic light control.


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    Titel :

    Dynamic Optimisation of Heavy Road Traffic


    Beteiligte:
    Karegoudra, Shilpa M (Autor:in) / K, Veeresha R (Autor:in) / Rashmi, S Kajol (Autor:in) / Hegde, Sanjana (Autor:in) / Kini, Sanjana R (Autor:in)


    Erscheinungsdatum :

    2022-12-22


    Format / Umfang :

    800606 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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