Optimum zone structure during peak periods for existing urban rail lines

Ghoneim, Nadia Sobhi Abdel-Nour; Wirasinghe, S. C.

doi:10.1016/0191-2615(86)90032-9

Cited by 36 publications

(12 citation statements)

References 5 publications

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“…Ghoneim et al analyzed zone scheduling for the Calgary Light Rail system using dynamic programming to determine the number and location of zones [2]. The authors incorporated headway constraints but did not consider the inconvenience to passengers of less O-D pair service.…”

Section: Literature Reviewmentioning

confidence: 99%

“…With more morning trains, the estimation of γ is not as important as it becomes more likely for low demand stations to be served by one or more trains. Constraint (2) states that each train can leave its current station for only one downstream station. Constraint (3) is a mass conservation flow constraint for the trains travelling through the network.…”

Section: Formulationmentioning

confidence: 99%

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Optimizing Skip Stop Service in Passenger Rail Transportation

Sogin

Caughron

Chadwick

2012

2012 Joint Rail Conference

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Two-track passenger rail lines typically operate with all trains serving every station. Without additional infrastructure, transit planners have limited options to improve travel times. Service could be improved by operating a skip-stop service where trains only serve a subset of all the station stops. A skip-stop pattern must find an optimal balance between faster passenger travel times and lower service frequencies at each station. A mixed integer formulation is proposed to analyze this tradeoff; however, the mixed integer formulation could not scale efficiently to analyze a large scale commuter line. A genetic algorithm is presented to search the solution space incorporating a larger problem scope and complexity. In a case study of a Midwest commuter line, overall passenger travel time could be decreased by 9.5%. Both analyses can give insights to transit operators on how to improve their service to their customers and increase ridership.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Formulationmentioning

confidence: 99%

Optimizing Skip Stop Service in Passenger Rail Transportation

Sogin

Caughron

Chadwick

2012

2012 Joint Rail Conference

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“…Assume that the crossover probability θ ≤ min{P 1 c , P 2 c }, the layered crossover operation can be demonstrated by Figure 4.…”

Section: Crossover Operatormentioning

confidence: 99%

“…Step 3. The selected gene at the upper layer of the parent chromosome is replaced with another number which is located within the predetermined range if θ ≤ P 1 m . The mutation operation with the lower layer will be determined by the result of the upper layer if θ ≤ P 2 m .…”

Section: Mutation Operatormentioning

confidence: 99%

An Optimization to Schedule Train Operations with Phase‐Regular Framework for Intercity Rail Lines

Niu

Zhang

2012

Discrete Dynamics in Nature and Society

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The most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into several time blocks and applies a regular train-departing interval and the same train length for each period under the period-dependent demand conditions. A nonlinear mixed zero-one programming model, which could accurately calculate the passenger waiting time and the in-train crowded cost, is developed in this study. A hybrid genetic algorithm associated with the layered crossover and mutation operation is carefully designed to solve the proposed model. Finally, the effectiveness of the proposed model and algorithm is illustrated through the application to Hefei-Wuhan intercity rail line in China.

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“…Holding is used to regulate the headways by holding an early-arriving train, or a train with a relatively short leading headway [10]. In zone scheduling [11], the whole line is divided into several zones, where the trains stop at all stations within a single zone and then run without stopping to the terminal station. The required number of trains and drivers and passenger travel times may be reduced by the zone scheduling, where the zones are defined based on the passenger flows.…”

Section: Introductionmentioning

confidence: 99%

Real-time scheduling for single lines in urban rail transit systems

Wang

Schutter

Boom

et al. 2013

2013 IEEE International Conference on Intelligent Rail Transportation Proceedings

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The real-time scheduling problem for urban rail transit systems is considered with the aim of minimizing the total passenger travel time, i.e. the sum of passenger waiting time at stations and passenger on-board time. The operation of trains and passenger demand characteristics are formulated in the realtime scheduling model. The minimum headway constraints are also taken into account to ensure the running safety of trains in urban rail transit. The resulting real-time scheduling problem is a nonlinear non-convex programming problem, which can be solved using state-of-the art algorithms to obtain the optimal departure times, running times, and dwell times of trains. A case study based on the data of Beijing Yizhuang line is used to demonstrate the performance of the proposed approach.

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Optimum zone structure during peak periods for existing urban rail lines

Cited by 36 publications

References 5 publications

Optimizing Skip Stop Service in Passenger Rail Transportation

Optimizing Skip Stop Service in Passenger Rail Transportation

An Optimization to Schedule Train Operations with Phase‐Regular Framework for Intercity Rail Lines

Real-time scheduling for single lines in urban rail transit systems

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