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Multiobjective Vehicle Type and Size Scheduling Problem in Urban Public Transport Using MOCell

David Peña · Andrei Nikolaevitch Tchernykh · Sergio Nesmachnow · Renzo Massobrio · Alexander Yu. Drozdov · Sergey N. Garichev

13 citations0/0 files storedInternational Conference on Engineering and Telecommunication (EnT)

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Transportation Planning and Optimization Vehicle Routing Optimization Methods Advanced Multi-Objective Optimization Algorithms

Abstract

We study the problem of vehicle scheduling in urban public transport systems taking into account the vehicle-type and size (VTSP). It is modeled as a multiobjective combinatorial optimization problem. A heuristic based on MOCell (Multi-Objective Cellular evolutionary algorithm) is proposed to solve the problem. A set of non-dominated solutions represents different assignments of vehicles to specific routes. The conflicting objectives of provider and users (passenger) are to minimize the total operating cost, and maximize the quality of service, taking into account restrictions of government agencies in context of smart cities to improve the Intelligent Transport Systems (ITS).

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References

2007Public Transit Planning and Operation 1998Urban Bus Transit Route Network Design Using Genetic Algorithm 1991An AI‐based approach for transit route system planning and design 1988A bus crew scheduling system using a set covering formulation 2016Optimization of Main Public Transport Paths Based on Accessibility — Case Study: Mashhad, Iran

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