Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data

Roncoli, Claudio; Chandakas, Ektoras; Kaparias, Ioannis

doi:10.1016/j.trc.2022.103963

Cited by 23 publications

(5 citation statements)

References 57 publications

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“…However, they suffer from several limitations that hinder their effectiveness in accurately evaluating tram ride comfort. Similar papers in the field of tram ride comfort evaluation and cloud theory have highlighted the following points [58][59][60][61][62][63][64][65][66][67]:…”

Section: Limitations Of Traditional Evaluation Methodologies In Ride ...mentioning

confidence: 99%

Navigating the complexity of tram ride comfort assessment in growing urban environments: A cloud theory perspective

Zhang,

Li,

Lauber

et al. 2024

IET Intelligent Trans Sys

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This study addresses the challenge of quantitatively assessing ride comfort in tram travel in Growing Urban Environments, where multiple influencing factors complicate developing a unified evaluation index system. A comprehensive evaluation framework based on cloud theory is proposed to overcome this challenge. The approach involves defining five‐level comfort evaluation grades to capture passengers' experiences and perceptions accurately. The Criteria Importance through Inter‐Criteria Correlation (CRITIC) method is employed to ensure objectivity to establish objective weights for evaluation indices. Subsequently, a cloud model algorithm is utilized to generate evaluation benchmark and actual result clouds, providing intuitive representations of the evaluation outcomes. The efficacy and rationality of the methodology is illustrated through a case study focusing on Suzhou Tram Line 2. This research contributes valuable insights for enhancing public transportation experiences in new urban settings by offering a systematic and objective approach to assessing tram ride comfort.

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Section: Limitations Of Traditional Evaluation Methodologies In Ride ...mentioning

confidence: 99%

Navigating the complexity of tram ride comfort assessment in growing urban environments: A cloud theory perspective

Zhang,

Li,

Lauber

et al. 2024

IET Intelligent Trans Sys

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“…Mohammadi et al (2020) proposed a model for assessing comfort levels during rail transportation trips, while Ma et al (2020) utilized longitudinal acceleration data and passenger feedback to measure riding comfort in a large city subway. Roncoli et al (2023) introduced a pattern for on-board comfort degree, utilizing passenger counting and vehicle location data. Moreover, many researchers such as Kici-ski and Solecka (2018), Li et al (2019), Zhang et al (2020), and Görçün (2021) applied MCDM methods to assess the change of urban PT systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy Solutions for Commercial Ships

Özbey,

Tıkız

2024

21. Yüzyılda Mühendislikte Çağdaş Araştırma Uygulamaları Üzerine Disiplinler Arası Çalışmalar- VI

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Maritime transportation is a keystone of the global economy, facilitating more than 90% of international trade by a fleet of nearly 90,000 vessels. However, the sector's reliance on fossil fuels brings with it significant environmental challenges, including greenhouse gas emissions, air and water pollution, and impacts on marine ecosystems. To address these issues and increase sustainability, there is a growing trend towards integrating renewable energy sources in the maritime sector. In particular, ocean-going vessels contribute more than 3% of global carbon dioxide emissions, while petroleum-based fuels emit significant amounts of nitrogen oxides and sulphur dioxide. In addition, shipping emissions are a major source of ambient air pollution in coastal areas. Projections indicate a potential 50-250% increase in carbon dioxide emissions from international shipping by 2050 if current trends continue. Renewable energy solutions such as wind, solar and nuclear power offer promising alternatives, with advances in technology increasing their efficiency and affordability. However, the transition to marine renewable energy requires overcoming technological barriers, infrastructure limitations and financial challenges. Despite these barriers, adopting renewable energy sources offers an applicable way to reduce the environmental impacts of shipping and ensure a sustainable future for the industry. This study focuses on renewable energy sources used in commercial ships and discusses alternative solutions such as wind, solar and nuclear energy. Furthermore, by highlighting the potential and advantages of renewable energy sources used on commercial ships, this study can be seen as an important step towards reducing environmental impacts and increasing sustainability in the maritime industry.

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“…Other recent studies have addressed the problem of predicting car-specific crowding on metro lines [26] and of predicting crowding and comfort levels with incomplete APC data [27].…”

Section: A Related Workmentioning

confidence: 99%

Network-Wide Public Transport Occupancy Prediction Framework With Multiple Line Interactions

Gallo,

Sacco,

Corman

2023

IEEE Open J. Intell. Transp. Syst.

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This paper addresses the problem of predicting the occupancy of urban public transport vehicles with a network-wide framework where the effects of the interactions between multiple lines are jointly considered. In particular, we propose and compare several occupancy predictors, each of them differing in the amount of information used and in the prediction model adopted. We consider two prediction models: a behavioral model that assumes an explicit relation between some observed variables and the occupancy, and a machine learning model based on the LightGBM algorithm. We evaluate the proposed network-wide prediction framework on two real-world case studies related to the public transport network of the Swiss city of Zurich. The results show that predicting the occupancy for a target line while simultaneously considering the other lines in the network allows significant improvements in the accuracy of the predictions, especially in the corridors served by different interacting lines. The described methodology could be used by public transport agencies to improve the accuracy of the crowding information provided to passengers and to increase the attractiveness of public transport systems.

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Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data

Cited by 23 publications

References 57 publications

Navigating the complexity of tram ride comfort assessment in growing urban environments: A cloud theory perspective

Navigating the complexity of tram ride comfort assessment in growing urban environments: A cloud theory perspective

Renewable Energy Solutions for Commercial Ships

Network-Wide Public Transport Occupancy Prediction Framework With Multiple Line Interactions

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