Influnce of driving style of a tram driver on the tram's energy consumption

Kubín, Jiri; Ferková, Želmíra

doi:10.1109/edpe.2015.7325331

Cited by 13 publications

(2 citation statements)

References 3 publications

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“…Energy consumption studies for trams focus on the driving style of a driver [66] and the creation of schedules [67], resulting in energy savings ranging from several to over a dozen percent. These studies assume no influence on infrastructure-related factors.…”

Section: Comparative Analysismentioning

confidence: 99%

The Impact of Priority in Coordinated Traffic Lights on Tram Energy Consumption

Górka,

Czerepicki,

Krukowicz

2024

Energies

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Traffic signal priority issues have been a research subject for several decades in Poland and worldwide. Traffic control algorithms have evolved considerably during this period and have become increasingly advanced. Most of them operate within coordinated street sequences, which adds to their complexity. Tramway priority affects traffic conditions for other road users, so many aspects must be taken into account when choosing a priority solution. Typically, one of the main criteria for evaluating the effectiveness of priority is reducing travel time for the priority vehicle while ensuring that the travel times of other traffic participants through the intersection are maintained or slightly deteriorated. However, the energy aspects are often overlooked. This publication aims to investigate how local priority for tramways in traffic signals of coordinated streets affects energy consumption for tramway traction needs. The study was conducted using a microscopic modeling method with PTV Vissim software (ver. 2021). The models were built for coordinated sequences with different levels of priority. Real traffic control algorithms with priority were implemented into the model on the sequence of Marymoncka Street and Grochowska Street in Warsaw. Then, by introducing changes to the parameters of the algorithms, their effect on traffic characteristics, including estimated power consumption, was studied. The results obtained from the computer simulation were statistically processed using R software (ver. 4.3.2). The analysis results prove the effectiveness of tramway priority operation, show its impact on electricity consumption, and allow us to determine the limits of its effective application. Thus, they complement the knowledge of the impact of tramway priority on traffic. The research results also have practical value, as they help us to make rational decisions in the process of designing traffic control algorithms at intersections with a multi-criteria approach.

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Section: Comparative Analysismentioning

confidence: 99%

The Impact of Priority in Coordinated Traffic Lights on Tram Energy Consumption

Górka,

Czerepicki,

Krukowicz

2024

Energies

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“…Tramway systems, and more in general railway systems, have been studied in different contexts and with different objectives, including energy issues for reducing the environmental impact and for minimizing the energy consumption ( [5][6][7]), multimodal traveler information systems ( [8,9]), improving service quality ( [10,11]), reducing the impacts on users in the case of system failures ( [12,13]), rescheduling and dispatching to improve passenger comfort and convenience ( [14,15]).…”

Section: Related Workmentioning

confidence: 99%

A stochastic modeling approach for traffic analysis of a tramway system with virtual tags and local positioning

et al. 2021

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Traditional solutions for tramway interlocking systems are based on physical sensors (balizes) distributed along the infrastructure which detect passing of the trams and trigger different actions, like the communications with the ground infrastructure and the interlocking system. This approach is not easily scalable and maintainable, and it is costly. The SISTER project designed new architectural solutions for addressing the previous problems based on the virtualization of the sensors and on the local positioning of each tram. The key idea is to trigger actions when the computed local position corresponds to a virtual tag. However, the computed position can be affected by errors, compared to the real one. Therefore, it is important to understand the impact of these new solutions on the traffic that can be supported by the tramway network. This paper presents a stochastic modeling approach for analysing the performability of a tramway system based on the SISTER architectural solutions, aiming to identify the parts of the tramway network that are more critical and sensible to the variation of the traffic conditions and to the setting of the key architectural parameters. We build a model using Stochastic Activity Networks and run sensitivity analyses on (i) the accuracy of the positioning, (ii) the different SISTER parameters, and (iii) considering possible outages temporarily blocking the journey of a tram. This analysis allows to properly set and fine-tune the key architectural parameters, to understand the impact of the accuracy on the positioning, to understand the impact of the outages.

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