Urban rail transit planning using a two-stage simulation-based optimization approach

Hassannayebi, Erfan; Sajedinejad, Arman; Mardani, Soheil

doi:10.1016/j.simpat.2014.09.004

Cited by 74 publications

(23 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is especially useful in some practical situations where the explicit analytical formulae are too complex to be deduced. In urban rail transit station domain, researchers used simulation-based optimization technique to evaluate and design different service facilities (Jiang et al [18]; Jiang and Lin [27]; Hassannayebi et al [28]). …”

Section: Literature Reviewmentioning

confidence: 99%

Width Design of Urban Rail Transit Station Walkway: A Novel Simulation-Based Optimization Approach

Khattak

Jiang

et al. 2017

Urban Rail Transit

View full text Add to dashboard Cite

The optimal design of the walkway at an urban rail transit station is a vital issue. The Transit Capacity and Quality of Service Manual (TCQSM) TCRP-100 report for the design of urban rail transit station walkway and the existing design models neglect the important factors such as randomness in the passenger arrival rate, randomness and state-dependent service time of the walkway and blocking phenomenon when the passenger flow demand exceeds the walkway capacity. There obviously exists a need to develop a design approach that overcomes these shortcomings. For this purpose, this paper details a simulation-based optimization approach that provides width design through automatic reconfiguration of walkway width during the simulation-optimization process based on phase-type (PH) distribution. The integrated PH/PH(n)/C/C discrete-event simulation (DES) model and optimization method that uses the genetic algorithm (GA) work together concurrently to obtain optimized (design) widths for different passenger flow and level of service (LOS) The numerical experiments are conducted to compare the proposed model with the existing design methods. It reveals that: (1) The width obtained by our proposed model is higher than the existing width design models; (2) when squared coefficient of variation of passenger arrival interval increases, the walkway width increases more for our proposed model than the existing design models; (3) when the arrival rate increases, the walkway width of our proposed model increases faster than the existing design models; (4) the increase in the length of walkway has no significant effect on the walkway width.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Width Design of Urban Rail Transit Station Walkway: A Novel Simulation-Based Optimization Approach

Khattak

Jiang

et al. 2017

Urban Rail Transit

View full text Add to dashboard Cite

show abstract

“…The problem was formulated as a combinatorial optimization problem and solved using mathematical programming techniques and metaheuristics. Hassannayebi et al [22] proposed a simulation-based optimization approach for train timetabling in urban rail. The problem was solved using genetic algorithm and the outcomes verify the e ectiveness of the solution method.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The praying service activation conditions can be stated by parameters ea j and ld j in the following equations: ld j L r: (j;1) + t p ; (22) ea j U r: (j;K j +1) t p : (23) Next, we describe the main components of our preprocessing in Algorithm 1.…”

Section: Variable Xing Strategiesmentioning

confidence: 99%

An integrated train scheduling and infrastructure development model in railway networks

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract. The evaluation of the railway infrastructure capacity is an important task of railway companies. The goal is to nd the best infrastructure development plan for scheduling new train services. The question addressed by the present study is how the existing railway infrastructure can be upgraded to decrease the total delay of existing and new trains with minimum cost. To answer this question, a mixed-integer programming formulation is extended for the integrated train scheduling and infrastructure development problem. The train timetabling model deals with the optimum schedule of trains on a railway network and determines the best stop locations for both the technical and religious services. We developed two heuristics based on variable xing strategies to reduce the complexity of the problem. To evaluate the e ect of railway infrastructure development on the schedule of new trains, a sequential decomposition is adopted for Iranian railway network. The outcomes of the empirical analysis performed in this study allow to gain bene cial insights by identifying the bottleneck corridors. The result of the proposed methodology shows that it can signi cantly decrease the total delay of new trains with the most emphasis on the bottleneck sections.

show abstract

“…Simulation modeling approaches have been used extensively in transportation applications as a exible and powerful method to evaluate the robustness and reliability of the system (see [2,[6][7][8][9][10][11][12][13][14]). However, despite the fact that the train-rescheduling problem has been analyzed extensively, a limited research has been directed to the combination of simulation platforms with advanced search techniques to solve train-rescheduling problems under uncertainty.…”

Section: Introductionmentioning

confidence: 99%

A simulation-based optimization approach to reschedule train traffic in uncertain conditions during disruptions

2017

View full text Add to dashboard Cite

Abstract. Delays and disruptions reduce the reliability and stability of the rail operations.Railway tra c rescheduling includes ways to manage the operations during and after the occurrence of such disturbances. In this study, we consider the simultaneous presence of large disruptions (temporary full or partial blockage of tracks) as well as stochastic variation of operations as a source of disturbance. The occurrence time of blockage and its recovery time are given. We designed a simulation-based optimization model that incorporates dynamic dispatch priority rules with the objective of minimizing the total delay time of trains. We, moreover, designed a variable neighborhood search meta-heuristic scheme for handling tra c under the limited capacity close to the blockage. The new plan includes a set of new departure times, dwell times, and train running times. We evaluated the proposed model on a set of disruption scenarios covering a large part of the Iranian rail network. The result indicates that the developed simulation-based optimization approach has substantial advantages in producing practical solution quickly, when compared to commercial optimization software. In addition, the solutions have a lower average and smaller standard deviation than the currently accepted solutions, determined by human dispatcher or by standard software packages.

show abstract

Urban rail transit planning using a two-stage simulation-based optimization approach

Cited by 74 publications

References 28 publications

Width Design of Urban Rail Transit Station Walkway: A Novel Simulation-Based Optimization Approach

Width Design of Urban Rail Transit Station Walkway: A Novel Simulation-Based Optimization Approach

An integrated train scheduling and infrastructure development model in railway networks

A simulation-based optimization approach to reschedule train traffic in uncertain conditions during disruptions

Contact Info

Product

Resources

About