Neuware -Designing a well-integrated public transit system and improving the cost-effectiveness network, public transport could play a crucial role in passenger satisfaction and reduce operating costs. The main objective of this research is to develop a mathematical formulation model for designing and coordinating schedules of integrated public transit services, which includes the development of feeder services and coordination with major transportation services and transfer time consideration between two modes (i.e. Feeder bus and LRT). In the proposed improved model, the additional terms and constraints employed in objective function provide more accurate and efficient solutions for various conditions of transit systems and this may lead to the creation of a more realistic model in simulating real-life problems. In this study, optimized transit services and coordinated schedules are developed using metaheuristic algorithms. Obtained numerical results of the proposed model including optimal solution, statistical optimization results, the convergence rate as well as comparisons were discussed in detail.Books on Demand GmbH, �berseering 33, 22297 Hamburg 180 pp. Englisch.

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T�tulo

Modeling and Optimization of Multimodal Public Transportation System

Editor

LAP LAMBERT Academic Publishing Apr 2016

Fecha de publicaci�n

2016

Idioma

Ingl�s

ISBN 10

3659773794

ISBN 13

9783659773792

Encuadernaci�n

Taschenbuch

Estado

Neu

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Sinopsis

Designing a well-integrated public transit system and improving the cost-effectiveness network, public transport could play a crucial role in passenger satisfaction and reduce operating costs. The main objective of this research is to develop a mathematical formulation model for designing and coordinating schedules of integrated public transit services, which includes the development of feeder services and coordination with major transportation services and transfer time consideration between two modes (i.e. Feeder bus and LRT). In the proposed improved model, the additional terms and constraints employed in objective function provide more accurate and efficient solutions for various conditions of transit systems and this may lead to the creation of a more realistic model in simulating real-life problems. In this study, optimized transit services and coordinated schedules are developed using metaheuristic algorithms. Obtained numerical results of the proposed model including optimal solution, statistical optimization results, the convergence rate as well as comparisons were discussed in detail.

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