In this paper, a new approach for improving the traffic performance of regional road networks during the recovery period following a disaster life cycle is presented. Regional road networks are often uncongested and have sparse and long-spanning link densities. Consequently, they are more impacted by natural disasters and thereby by potential road closures that may be imposed afterwards. Information about road closures after disruptive events can be transmitted through roadside information dissemination methods such as variable message signs, Cooperative-Intelligent Transport Systems or highway advisory radio. This paper proposes an optimisation model to find optimal location of roadside guidance devices across a regional road network for improving total travel time (TTT) within the network. To achieve this, firstly, a network design model is formulated using a bi-level framework and implemented to find the optimal locations of roadside guidance devices that lead to reducing the TTT of a disrupted network. Secondly, two methods for solving the formulated problem are presented, an exact solution method called SO-relaxation that cuts the solution space using system optimum traffic assignment. The other method is a hybrid-GA that is a heuristic solution method. Results show that locating guidance devices optimally in a disrupted network leads to a more resilient road network in which the post-disaster TTT of the network during recovery phase is less than when no action is taken. It is also shown that the improvement achieved by roadside guidance is a function of available resources and the road users willingness to obey the guidance provided.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving regional road network resilience by optimised traffic guidance


    Contributors:

    Published in:

    Publication date :

    2017-10-21


    Size :

    35 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Resilience of Urban Road Network to Malignant Traffic Accidents

    Yiding Lu / Zhan Zhang / Xinyi Fang et al. | DOAJ | 2022

    Free access

    Road traffic guidance method and system and traffic network monitoring system

    CHEN YOU / WANG JIANFEI / LIN QINGSHENG | European Patent Office | 2022

    Free access

    Road traffic driving guidance system

    DENG BOLIN | European Patent Office | 2022

    Free access

    Road traffic guidance information issuing system

    XIE JIANHUA | European Patent Office | 2021

    Free access

    Evaluating and Predicting Road Network Resilience Using Traffic Speed and Log Data

    Yu, Xiaofei / Tan, Erlang / Ma, Xiaolei et al. | ASCE | 2022