Equity-based timetable synchronization optimization in urban subway network

Wu, Jianjun; Liu, Muhan; Sun, Huijun; Li, Tongfei; Gao, Ziyou; Wang, David Z.W.

doi:10.1016/j.trc.2014.11.001

Cited by 154 publications

(61 citation statements)

References 26 publications

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“…Through adjusting the weight of hazardous wastes to collect and the transportation routes of vehicles in each period, the maximal transportation risk among all periods can be decreased. This "minmax" manner is similar to that in [18,19].…”

Section: Problem Description and Formulationsupporting

confidence: 53%

Multi-period hazardous waste collection planning with consideration of risk stability

Ma¹,

Li²

2021

Journal of Industrial &Amp; Management Optimization

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Hazardous wastes are likely to cause danger to humans and the environment. In this paper, a new mathematical optimization model is developed for the multi-period hazardous waste collection planning problem. The hazardous wastes generated by each source are time-varying in weight and allow incomplete and delayed collection. The aim of the model is to help decision makers determine the weight of hazardous wastes to collect from each source and the transportation routes of vehicles in each period. In the developed model, three objectives are considered simultaneously: (1) minimisation of total cost over all periods, which includes start-up fee of vehicles, transportation cost of hazardous wastes, and penalty fee for the delayed collection; (2) minimisation of total transportation risk posing to the surrounding of routes over all periods; and (3) even distribution of transportation risk among all periods, also called risk stability. The developed multi-objective model is transformed into a single-objective one based on the weighted sums method, which is finally equated to a mixed 0-1 linear programming by introducing a set of auxiliary variables and constraints. Numerical experiments are computed with CPLEX software to find the optimal solutions. The computational results and parameters analysis demonstrate the applicability and validity of the developed model. It is found that the consideration of the risk stability can reduce the total transportation risk, the uneven distribution of the transportation risk among all periods, and the maximum number of vehicles used, though increasing the total cost to some extent.2010 Mathematics Subject Classification. Primary: 90B06, 90B50; Secondary: 90C30.

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Section: Problem Description and Formulationsupporting

confidence: 53%

Multi-period hazardous waste collection planning with consideration of risk stability

Ma¹,

Li²

2021

Journal of Industrial &Amp; Management Optimization

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“…The synchronized timetable optimization model for optimization of PWT is proposed in [26]. Minimizing the maximum of interchange waiting time or reducing the worst interchange time is proposed.…”

Section: Mathematical Models For Minimizing the Pwt At The Transfer Smentioning

confidence: 99%

Optimization Methods in Modern Transportation Systems

2018

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Abstract:One of the greatest challenges in the public transportation network is the optimization of the passengers waiting time, where it is necessary to find a compromise between the satisfaction of the passengers and the requirements of the transport companies. This paper presents a detailed review of the available literature dealing with the problem of passenger transport in order to optimize the passenger waiting time at the station and to meet the requirements of companies (maximize profits or minimize cost). After a detailed discussion, the paper clarifies the most important objectives in solving a timetabling problem: the requirements and satisfaction of passengers, passenger waiting time and capacity of vehicles. At the end, the appropriate algorithms for solving the set of optimization models are presented.

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“…11(c), which states the D-T Paradox can be prevented under certain road toll revenue condition (i.e., NN > ). It should be noted that the train timetabling or scheduling (e.g., Li et al, 2013, Wu et al, 2015 has not been explicitly considered in this paper, which could be further addressed in the future study. Regardless of the size of government' financial subsidy, the optimal number of scheduled trains is dropping while the optimal transit pricing is increasing when the bottleneck capacity goes up.…”

Section: Subsidy Financed By Road Toll Revenuementioning

confidence: 99%

Overcoming the Downs-Thomson Paradox by transit subsidy policies

Wang

Zhang

et al. 2017

Transportation Research Part A: Policy and Practice

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Consider a competitive highway/transit transportation system in which travelers either drive on the bottleneck-constrained highway or take scheduled trains from home to the workplace in the morning peak hours. This paper explores the impact of bottleneck capacity expansion on transit operating schemes (fleet size and fare) and travelers' departure time and mode choices. Due to the potential occurrence of the Downs-Thomson (D-T) Paradox after highway capacity expansion, the paper investigates whether the D-T Paradox can be circumvented by implementing transit subsidy policies. The effects of different transit subsidy schemes are explored: subsidizing the transit company (cost subsidy) or the passengers (passenger subsidy) with the financial support from either government funding or road pricing revenue. For each combination of subsidy method and financial sourcing, the condition for overcoming the D-T Paradox is established.

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Equity-based timetable synchronization optimization in urban subway network

Cited by 154 publications

References 26 publications

Multi-period hazardous waste collection planning with consideration of risk stability

Multi-period hazardous waste collection planning with consideration of risk stability

Optimization Methods in Modern Transportation Systems

Overcoming the Downs-Thomson Paradox by transit subsidy policies

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