This study investigates an optimal incident response plan to cover the demand considering the location and availability of respondents. A multi-objective mixed-integer linear formulation is proposed that aims to minimize the expected travel time to incidents and maximize the expected demand coverage under resource constraints. The proposed model is applied to an empirical case study network with one year of incident data in North Carolina and solved by Benders Decomposition. The numerical experiments indicate the performance of the proposed methodology based on various problem sizes. While CPLEX Optimization Studio fails to obtain solutions for large-scale instances, the proposed algorithm can provide near-optimal solutions to the largest instance in this paper (i.e., 1,024-node network) with a 2.4% optimality gap.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Location and Allocation of Incident Respondents under Severity Levels and Capacity Constraints: Formulation, Methodology, and Application


    Contributors:


    Publication date :

    2021-09-19


    Size :

    1899301 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Hub location under capacity constraints

    Rodríguez, V. | Online Contents | 2007



    A self-learning system for real-time incident detection and severity assessment - framework and methodology

    Chen,C.H. / Chang,G.L. / Univ.of Maryland,US | Automotive engineering | 1993



    Traffic incident location identification

    BLANDIN SEBASTIEN / JABARI SAIF EDDIN / WYNTER LAURA | European Patent Office | 2016

    Free access