scholarly journals A New Approach to Crew Scheduling in Rapid Transit Networks

2015 ◽  
Vol 10 ◽  
pp. 554-563 ◽  
Author(s):  
Manuel Fuentes ◽  
Luis Cadarso ◽  
Ángel Marín
2019 ◽  
Vol 32 (4) ◽  
pp. 767-805 ◽  
Author(s):  
David Schmaranzer ◽  
Roland Braune ◽  
Karl F. Doerner

AbstractIn this paper, we present a simulation-based headway optimization for urban mass rapid transit networks. The underlying discrete event simulation model contains several stochastic elements, including time-dependent demand and turning maneuver times as well as direction-dependent vehicle travel and passenger transfer times. Passenger creation is a Poisson process that uses hourly origin–destination-matrices based on anonymous mobile phone and infrared count data. The numbers of passengers on platforms and within vehicles are subject to capacity restrictions. As a microscopic element, passenger distribution along platforms and within vehicles is considered. The bi-objective problem, involving cost reduction and service level improvement, is transformed into a single-objective optimization problem by normalization and scalarization. Population-based evolutionary algorithms and different solution encoding variants are applied. Computational experience is gained from test instances based on real-world data (i.e., the Viennese subway network). A covariance matrix adaptation evolution strategy performs best in most cases, and a newly developed encoding helps accelerate the optimization process by producing better short-term results.


2011 ◽  
Vol 45 (3) ◽  
pp. 95-104 ◽  
Author(s):  
G. Laporte ◽  
J.A. Mesa ◽  
F.A. Ortega ◽  
F. Perea

2011 ◽  
Vol 45 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Gilbert Laporte ◽  
Angel Marín ◽  
Juan A. Mesa ◽  
Federico Perea

TRANSPORTES ◽  
2010 ◽  
Vol 18 (2) ◽  
Author(s):  
Gustavo Peixoto Silva ◽  
Claudio Barbieri da Cunha

<p><strong>Resumo:</strong> Este artigo apresenta uma nova abordagem para a resolução do Problema de Programação de Tripulações no Sistema de Transporte Público (PPT). O modelo se baseia na metaheurística GRASP cuja busca local é realizada pelo método da Busca em Vizinhança de Grande Porte, conhecida na literatura como Very Large-Scale Neighborhood Search. O grande diferencial da aplicação desta técnica de busca para o PPT é que, além de incorporar os movimentos de realocação e troca de tarefas, realizados tradicionalmente, ela também permite considerar trocas do tipo 3-optimal, 4-optimal, até o limite de n-optimal, para uma solução com n tripulações. A implementação da heurística proposta foi testada com dados de problemas reais de uma empresa que opera em Belo Horizonte, e os resultados foram comparados com as soluções adotadas pela empresa. Desta forma foi possível observar que o modelo apresentado neste trabalho produziu soluções mais econômicas do que aquelas praticadas pela empresa.</p><strong>Abstract:</strong> This paper presents a new approach to solve the Crew Scheduling Problem (CSP) for public mass transport system. The proposed model is based on the GRASP metaheuristic framework, where the local search is performed by the Very Large-Scale Neighborhood (VLSN) search technique. The great differential of this search technique applied to the CSP is that, in addition to task reassigning and swapping movements, adopted in previous work, it also allows considering 3-optimal, 4-optimal, up to n-optimal task movements, for a solution with n crews, yielding to improved solutions. The proposed heuristic was tested with data from real problems of a bus company operating in the city of Belo Horizonte, and the results compared to the manual solution adopted by the company. Thus it was observed that the model presented in this work have produced more economical solutions than those used by the company.


2011 ◽  
Vol 38 (8) ◽  
pp. 1131-1142 ◽  
Author(s):  
Luis Cadarso ◽  
Ángel Marín

2016 ◽  
Vol 93 ◽  
pp. 251-267 ◽  
Author(s):  
David Canca ◽  
Eva Barrena ◽  
Alicia De-Los-Santos ◽  
José Luis Andrade-Pineda

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