This research is focused on developing and evaluating new traffic control strategies to enable emergency response vehicles (EVs) to travel in transportation networks as quickly as possible while the disruption to the rest of the traffic is kept to a minimum. Providing the best possible route or trajectory for an EV depends on the traffic conditions, the type of roadway, and other relevant factors. For instance, under light traffic on multilane highways, vehicles equipped with Vehicle-to-Vehicle (V2V) communications can be alerted to clear a particular lane to allow the EV to pass by at its desired speed. If the lanes are wide enough or there is a wide shoulder, vehicles can also be directed to move to the shoulder to provide the EV an unobstructed path. However, under congested conditions on roadways with narrow lanes, enabling the EV to traverse the road at high speeds may not be trivial since there is no obvious solution to clear a lane for the EV. In this research, new methods and traffic control strategies are developed to optimize the travel time of an EV in a transportation network with signalized intersections. It will be assumed that regular vehicles have communications capabilities and comply with the alert messages sent by the EV. The proposed strategies are evaluated in microscopic simulation software (e.g., VISSIM).


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    Titel :

    Improving Travel Times for Emergency Response Vehicles: Traffic Control Strategies Based on Connected Vehicles Technologies. Final Report


    Beteiligte:
    C. Jordan (Autor:in) / M. Cetin (Autor:in)

    Erscheinungsdatum :

    2014


    Format / Umfang :

    43 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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