This paper simulates traffic at the Dartford-Thurrock Crossing Tunnel, Kent, UK. Using a traffic simulation model, Connected and Autonomous Freight Vehicles (CAV-F) are simulated alongside conventional light goods vehicles, to determine the feasibility of increasing the traffic throughput at the tunnel. The results show that with the use of CAV-F, the overall traffic flow is increased by $\sim33$% from current flow of $\sim$5,000 vehicles/hr. With the reduction in the headway and standstill distance and increase in scope of intelligent connectivity and traffic speed limit, the average congestion and travel time are reduced even at a higher traffic concentration. By analysing the results, it has thus been possible to highlight the benefits to traffic management and road utilisation by introducing CAV-F into our road network, in the long term.


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    Titel :

    Traffic Simulation of Connected and Autonomous Freight Vehicles to Increase Traffic Throughput via Road Tunnel Networks


    Beteiligte:


    Erscheinungsdatum :

    2020-05-01


    Format / Umfang :

    517038 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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