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Lukas Hausberger, Jounes Lutterbach and Florian Gschösser
Previous studies of road or railway infrastructures have shown that traffic emissions outweigh the environmental impacts of the product stage and construction stage over the entire life cycle. Traffic usage is therefore the main emitter over the life cyc...
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JongBae Kim
This technology can prevent accidents involving large vehicles, such as trucks or buses, by selecting an optimal driving lane for safe autonomous driving. This paper proposes a method for detecting forward-driving vehicles within road images obtained fro...
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Fabio Borghetti, Michela Longo, Michela Bonera, Marco Libretti, Claudio Somaschini, Valentina Martinelli, Marco Medeghini and Renato Mazzoncini
Nowadays, designing and adopting sustainable and greener transport systems is of upmost interest. The European Commission and different EU countries are developing plans and programs?but also delivering resources?aimed at the decarbonization of cities an...
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Xu Chen, Zihe Wang and Xuan Di
This paper aims to leverage Twitter data to understand travel mode choices during the pandemic. Tweets related to different travel modes in New York City (NYC) are fetched from Twitter in the two most recent years (January 2020?January 2022). Building on...
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Rio Arifando, Shinji Eto and Chikamune Wada
Object detection is crucial for individuals with visual impairment, especially when waiting for a bus. In this study, we propose a lightweight and highly accurate bus detection model based on an improved version of the YOLOv5 model. We propose integratin...
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Darius Drungilas, Mindaugas Kurmis, Arturas Tadzijevas, Zydrunas Lukosius, Deivydas Sapalas, Valdas Jankunas, Arvydas Martinkenas, Rimantas Didziokas and Jurate Gruode
This paper presents a prototype of a disinfection system for public transport specifically aiming to disinfect surfaces contaminated with the SARS-CoV-2 virus on buses using 222 nm wavelength far-ultraviolet light (far-UVC). Our study involved testing th...
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Wenchao Shen, Liang Zou, Ruisheng Deng, Hongyu Wu and Jiabin Wu
To investigate the issue of multi-entry bus priority at intersections, an intelligent priority control method based on deep reinforcement learning was constructed in the bus network environment. Firstly, a dimension reduction method for the state vector ...
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Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val...
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Apostol Todorov, Petya Gicheva, Vanya Stoykova, Stanimir Karapetkov, Hristo Uzunov, Silvia Dechkova and Zlatin Zlatev
Air pollution and travel comfort in public transport is a significant problem as it can cause health problems for passengers. There are no sufficiently developed and researched monitoring systems for measuring the quality of the environment in public tra...
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Xuehao Zhai, Fangce Guo and Rajesh Krishnan
Bus bunching is a severe problem that affects the service levels of public transport systems. Most of the previous studies in the field of Bus Signal Priority (BSP) and Transit Signal Priority (TSP) focus on reducing a bus delay at signalised intersectio...
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