scholarly journals A Study and Implementation of the Transit Route Network Design Problem for a Realisitic Urban Case

2015 ◽  
Author(s):  
Kalochristianakis M ◽  
Kosmopoulos D
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Route Network ◽  
Transit Route

scholarly journals A Transit Route Network Design Problem Considering Equity

2019 ◽  
Vol 11 (13) ◽  
pp. 3527 ◽  
Author(s):  
Myeonghyeon Kim ◽  
Seung-Young Kho ◽  
Dong-Kyu Kim
Keyword(s):  
Network Design ◽  
Public Transportation ◽  
Design Problem ◽  
Network Design Problem ◽  
Modal Split ◽  
Route Network ◽  
Line Selection ◽  
Transit Route ◽  
Selection Of

As concerns about environmental quality, social equity, and economic efficiency are increasing, efforts on improving the sustainability of public transportation are being made all over the world. This study aims to propose a transit route network design problem that considers modal and spatial equities. The equities are accommodated by using two indexes that can simultaneously reflect mobility and accessibility. A decision-making process for designing a transit route network consists of the selection of the target line, selection of the target node, the determination of an alternative line, and the implementation of a procedure for setting frequency. The model is configured through bi-level modeling based on an iterative process to calculate the modal split and the traffic and transit assignments with changes in the transit route network. While the frequency of each line is determined by a genetic algorithm in the upper model, the modal split and traffic and transit assignments are implemented in the lower model. This transit route network design model and the associated algorithms are applied to a sample network. As a result, an improved solution with equity and the lower total cost is identified based on a comparison with the existing transit route network.

scholarly journals Some Computational Insights on the Optimal Bus Transit Route Network Design Problem

2012 ◽  
Vol 47 (3) ◽  
Author(s):  
Wei (David) Fan ◽  
Randy B. Machemehl
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Large Scale ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Research Experiences ◽  
Bus Transit ◽  
Route Network ◽  
Transit Route ◽  
Demand Aggregation

The objective of this paper is to present some computational insights based on previous extensive research experiences on the optimal bus transit route network design problem (BTRNDP) with zonal demand aggregation and variable transit demand. A multi-objective, nonlinear mixed integer model is developed. A general meta-heuristics-based solution methodology is proposed. Genetic algorithms (GA), simulated annealing (SA), and a combination of the GA and SA are implemented and compared to solve the BTRNDP. Computational results show that zonal demand aggregation is necessary and combining metaheuristic algorithms to solve the large scale BTRNDP is very promising.

Electric Transit Route Network Design Problem: Model and Application

2019 ◽  
Vol 2673 (8) ◽  
pp. 264-274 ◽  
Author(s):  
Christina Iliopoulou ◽  
Ioannis Tassopoulos ◽  
Konstantinos Kepaptsoglou ◽  
Grigorios Beligiannis
Keyword(s):  
Network Design ◽  
Public Transportation ◽  
Design Problem ◽  
Network Design Problem ◽  
Test Bed ◽  
Problem Model ◽  
Charging Infrastructure ◽  
Route Network ◽  
Proposed Model ◽  
Transit Route

Electric buses have long been recognized as a promising direction for offering sustainable public transportation services. While range and battery performance constraints have hindered the widespread adoption of electric buses in the past, technological advances make them a prominent and attractive option for public transportation in the future. Still, operational constraints and the need for additional (charging) infrastructure highlight the need for introducing appropriate decision-making tools, tailor-made for supporting the design of transit networks operated by electric buses. This paper focuses on developing and testing a comprehensive route design model for the case of a transit network, operated exclusively by an electric bus fleet (Electric Transit Route Network Design Problem—E-TRNDP). The model is formulated as a bi-level optimization problem, which attempts to jointly design efficient transit routes and locate required charging infrastructure. A multi-objective, particle swarm optimization algorithm, coupled with a mixed linear—integer programming model is used to solve the model. An existing benchmark network is used as a test-bed for the proposed model and solution process; results illustrate that the proposed model and solution method yield realistic design outcomes in an acceptable time frame.

Metaheuristics for the transit route network design problem: a review and comparative analysis

2019 ◽  
Vol 11 (3) ◽  
pp. 487-521 ◽  
Author(s):  
Christina Iliopoulou ◽  
Konstantinos Kepaptsoglou ◽  
Eleni Vlahogianni
Keyword(s):  
Comparative Analysis ◽  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Route Network ◽  
Transit Route

Transit Route Network Design Problem: Review

2009 ◽  
Vol 135 (8) ◽  
pp. 491-505 ◽  
Author(s):  
Konstantinos Kepaptsoglou ◽  
Matthew Karlaftis
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Route Network ◽  
Transit Route
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