This research develops a method for optimizing the construction phases for an automated demand responsive feeder transit (ADRFT) service projects in suburban and rural areas with the objective of minimizing implementation makespan costs. In this research, the small-sized automated demand responsive door-to-door feeder bus system, which fits well in the suburban and rural areas, is applied to perform activities of the project. A metaheuristic method of the simulated annealing (SA) optimization method has been implemented to solve the proposed Resource constrained project scheduling problem (RCPSP) that considers the precedence and relations among project tasks for the automated demand responsive feeder transit. As a result of this study, the proposed algorithm could find the near-optimal solution to the problem. A sensitivity analysis has been conducted on resources to assess the possible influence of each resource on the optimal solution and obtain more accurate tasks effects on the optimized phases. The results of this study could be utilized by transportation authorities, transport investment agencies, and collaborators in innovating and emerging transportation systems.


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    Title :

    Resource-Constrained Automated Demand Responsive Feeder Transit System Project Scheduling Using Metaheuristics


    Contributors:

    Conference:

    International Conference on Transportation and Development 2020 ; 2020 ; Seattle, Washington (Conference Cancelled)



    Publication date :

    2020-08-31




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English