A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts

D’Acierno, Luca; Botte, Marilisa

doi:10.3390/en11112946

Cited by 27 publications

(13 citation statements)

References 71 publications

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“…Within this context, the main contribution of the paper consists in advancing the research proposed by [20,31,44], since it analyses eco-driving strategies just in the case of disruption schemes. To this end, the operational parameters of frequency-based systems are first described.…”

Section: The Proposed Methodology For Managing Rolling Stock Unavailamentioning

confidence: 99%

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Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective

D’Acierno

Botte

2020

Energies

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Energy-saving and energy-recovery strategies represent key factors to achieve operational cost reductions within rail systems’ management tasks. However, in altering service features, they also affect passenger satisfaction. This paper investigates the effect of implementing such measures in the case of rolling stock unavailability. Numerous operational scenarios were explored by analysing different planned headway and rolling stock configurations. The scenarios were simulated with and without the adoption of Energy-Saving Strategies (ESS), both in ordinary and in disruption conditions. Our results show that, in ordinary conditions, the optimal scenarios are those that minimise the planned headway. By contrast, in disrupted conditions, due to greater passenger inconvenience, the use of a time-optimal condition is preferable if a real-time adjustment of ESS is not feasible. However, if the ESS can be updated in real-time, use of ESS is preferable only if the adopted headway is the smallest of those associated with the rolling stock scheme considered.

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Section: The Proposed Methodology For Managing Rolling Stock Unavailamentioning

confidence: 99%

“…As widely shown elsewhere (see, for instance, [31,44]), the definition of a frequency-based service consists in determining operational variable values so as to satisfy the following equation:…”

Section: Frequency-based Service Definitionmentioning

confidence: 99%

Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective

D’Acierno

Botte

2020

Energies

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“…The model optimized the train timetable by controlling the train's headway time and dwell time. D'Acierno and Botte [14] developed an analytical approach to deciding driving strategies. The framework could be used for properly supporting the implementation of eco-driving strategies, from a passenger-oriented perspective.…”

Section: Literature Reviewmentioning

confidence: 99%

Urban Rail Timetable Optimization to Improve Operational Efficiency with Flexible Routing Plans: A Nonlinear Integer Programming Model

Xue

Yang

et al. 2019

Sustainability

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At present, most urban rail transit systems adopt an operation mode with a single long routing. The departure frequency is determined by the maximum section passenger flow. However, when the passenger flow varies greatly within different sections, this mode will lead to a low load factor in some sections, resulting in a waste of capacity. In view of this situation, this paper develops a nonlinear integer programming model to determine an optimal timetable with a balanced scheduling mode, where the wasted capacity at a constant departure frequency can be reduced with a slight increase in passenger waiting time. Then, we simplify the original model into a single-objective integer optimization model through normalization. A genetic algorithm is designed to find the optimal solution. Finally, a numerical example is presented based on real-world passenger and operation data from Beijing Metro Line 4. The results show that the double-routing optimization model can reduce wasted capacity by 9.5%, with a 4.5% increase in passenger waiting time, which illustrates the effectiveness of this optimization model.

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“…Two ways were proposed including public control and restriction, as well as public investment in low-emission transport infrastructure. Some literature also focused on the transport behavior, which concluded that major transport policy that could reduce passenger travel levels would be most effective in transport emission cuts [22,[39][40][41].…”

Section: Literature Reviewmentioning

confidence: 99%

Do Urban Subway Openings Reduce PM2.5 Concentrations? Evidence from China

Hong-you

Zhu

et al. 2018

Sustainability

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With the fast-growing consumption of automobiles in China, vehicle fumes appear to be one of the major contributors to PM 2.5 (fine particles with a diameter of 2.5 µm or less) emissions. As a type of green transportation, Chinese urban subway transit has developed rapidly in recent years. This paper estimates the effect of urban subway openings on PM 2.5 concentrations in Chinese cities. Using daily air quality data for 29 Chinese cities from 2013 to 2018, and using regression discontinuity design, we find that new subway openings reduce PM 2.5 concentrations by an average of 18 µg/m 3 . The potential mechanism for this emission reduction is due to the offset in on-road transportation, and the use of cleaner energy. Also, central heating in winter, population scale, and city tier play crucial roles in the emission-reducing effect of subway openings. A series of robustness tests are conducted to support the fundamental empirical results. Targeted policy implications, such as optimizing the planning of urban subway construction and road network, fostering awareness of green travel, and promoting the innovation of emission-reducing technologies, are suggested for sustainable development in Chinese cities.

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A Passenger-Oriented Optimization Model for Implementing Energy-Saving Strategies in Railway Contexts

Cited by 27 publications

References 71 publications

Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective

Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective

Urban Rail Timetable Optimization to Improve Operational Efficiency with Flexible Routing Plans: A Nonlinear Integer Programming Model

Do Urban Subway Openings Reduce PM2.5 Concentrations? Evidence from China

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