Optimizing train operational plan in an urban rail corridor based on the maximum headway function

Shi, Feng; Zhao, Shuo; Zhao, Zhou; Wang, Pu; Bell, M.G.

doi:10.1016/j.trc.2016.11.007

Cited by 29 publications

(25 citation statements)

References 31 publications

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“…If the denominators in formulas (15) and (16) are 0, then the per capita boarding deviation times can be replaced by a sufficiently large constant M.…”

Section: Per Capita Boarding Deviation Time Of Double-service Demandmentioning

confidence: 99%

“…They considered the reasonable range of train stop number and the minimum service frequency for each station. In addition, there has also been extensive literature on the design of stop patterns to cater to different demand at stations [12][13][14][15][16][17][18][19][20][21][22]. Patterns include all-stop pattern, skip-stop pattern, zonal pattern, and express/local pattern, which cater to different demand characteristics (see a comparison in reference [13]).…”

Section: Introductionmentioning

confidence: 99%

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A Stop-Probability Approach for O-D Service Frequency on High-Speed Railway Lines

Zhao

2019

Sustainability

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Train stop planning provides appropriate service for travel demand and stations and plays a significant role in railway operation. This paper formulates stop planning from the point of view of direct travel between origin-destination (O-D) stations and proposes an analytical method to theoretically derive optimal service frequencies for O-D demand on different levels. Considering different O-D demand characteristics and train service types, we introduce the concept of stop probability to present the mathematical formulation for stop planning with the objective of minimizing per capita travel time, which is solved by an iterative algorithm combined with local search. The resulting optimal stop probabilities can be used to calculate the required service frequency for each train type serving different demand categories. Numerical examples, based on three real-life high-speed railway lines, demonstrate the validity of the proposed method. The proposed approach provides a more flexible and practical way for stop planning that explicitly takes into account the importance of different stations and passenger travel characteristics.

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“…If the denominators in formulas (15) and (16) are 0, then the per capita boarding deviation times can be replaced by a sufficiently large constant M.…”

Section: Per Capita Boarding Deviation Time Of Double-service Demandmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Stop-Probability Approach for O-D Service Frequency on High-Speed Railway Lines

Zhao

2019

Sustainability

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“…O quadro 8 ainda revela que as melhorias de tempo de ocupação trazem redução no tempo total de viagem. Esses resultados estão em consonância com os estudos de atrasos de grade de trens propostos em Petersen (1974) e mais recentemente em Feng et al (2017).…”

Section: Sistemaunclassified

Relação do Tempo de Ocupação das Estações com o Headway em Sistemas Metroviários usando Simulação Computacional – Aplicação no Sistema Metroviário do Rio de Janeiro

Carvalho

Alves²,

Neto³

et al. 2017

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Este trabalho trata da análise da relação entre o headway e o tempo de ocupação de estações utilizado pelos trens em sistemas metroviários. Usando um modelo de simulação de tráfego construído em Arena®, leva-se em consideração o tempo médio entre estações, a frequência de entrada dos trens no sistema e o tempo de ocupação das estações para medir o headway, para diversos cenários diferentes de tempo de ocupação na estação e prever o tempo total de viagem do trem. O modelo possui aplicação direta na faixa de horário crítico operacional dos sistemas metroviários e uma aplicação no metrô do Rio de Janeiro é utilizada para validar o modelo. As informações necessárias à simulação foram obtidas diretamente nas plataformas de embarque do metrô. O modelo de simulação permitiu obter um novo tempo de percurso para os trens provenientes do Uruguai e da Pavuna. Um modelo matemático auxiliar foi construído com os resultados da simulação e permite estabelecer o tempo de ocupação médio das estações e prever o headway médio do sistema. Com o headway médio e o tempo de ocupação médio das estações estabelecido, foi possível entender o comportamento do sistema na faixa horária de pico, descobrir o headway mínimo e contribuir para estudos futuros que busquem melhoria operacional em sistemas metroviários sem grandes investimentos em sistemas de controle do headway.

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“…Train schedule design of urban rail network is a rather complex problem with considering the time-varying demand. To simplify the schedule design problem, it is always divided into the schedule design for each single rail line [ 1 – 2 ]. Niu and Zhou [ 1 ] used the time-varying O-D demand for a single line and optimized its schedule.…”

Section: Introductionmentioning

confidence: 99%

“…Shi et al . [ 2 ] optimized the frequency setting, timetabling and the rolling stock circulation for a single line based on the time-varying section flow. As the time-varying O-D demands or section flows for a single line include the passengers taking this rail line directly and transferring from other lines, and it is need to design a method for obtaining the reasonable time-varying O-D demands or section flows for each single line, it motivates us to study the dynamic assignment for urban rail transit network (DAURTN), which can approximately estimate the space-time flow distribution in the urban rail network and be used to evaluate and optimize the space-time resource allocation for a URTS.…”

Section: Introductionmentioning

confidence: 99%

Cell transmission model of dynamic assignment for urban rail transit networks

Zhao

Shi

et al. 2017

PLoS ONE

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For urban rail transit network, the space-time flow distribution can play an important role in evaluating and optimizing the space-time resource allocation. For obtaining the space-time flow distribution without the restriction of schedules, a dynamic assignment problem is proposed based on the concept of continuous transmission. To solve the dynamic assignment problem, the cell transmission model is built for urban rail transit networks. The priority principle, queuing process, capacity constraints and congestion effects are considered in the cell transmission mechanism. Then an efficient method is designed to solve the shortest path for an urban rail network, which decreases the computing cost for solving the cell transmission model. The instantaneous dynamic user optimal state can be reached with the method of successive average. Many evaluation indexes of passenger flow can be generated, to provide effective support for the optimization of train schedules and the capacity evaluation for urban rail transit network. Finally, the model and its potential application are demonstrated via two numerical experiments using a small-scale network and the Beijing Metro network.

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Optimizing train operational plan in an urban rail corridor based on the maximum headway function

Cited by 29 publications

References 31 publications

A Stop-Probability Approach for O-D Service Frequency on High-Speed Railway Lines

A Stop-Probability Approach for O-D Service Frequency on High-Speed Railway Lines

Relação do Tempo de Ocupação das Estações com o Headway em Sistemas Metroviários usando Simulação Computacional – Aplicação no Sistema Metroviário do Rio de Janeiro

Cell transmission model of dynamic assignment for urban rail transit networks

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