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Ngoc An Nguyen, Joerg Schweizer, Federico Rupi, Sofia Palese and Leonardo Posati
The present study contributes to narrowing down the research gap in modeling individual door-to-door trips in a superblock scenario and in evaluating the respective impacts in terms of travel times, modal shifts, traffic performance, and environmental be...
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María Zamarreño Suárez, Juan Marín Martínez, Francisco Pérez Moreno, Raquel Delgado-Aguilera Jurado, Patricia María López de Frutos and Rosa María Arnaldo Valdés
The use of electroencephalography (EEG) techniques has many advantages in the study of human performance in air traffic control (ATC). At present, these are non-intrusive techniques that allow large volumes of data to be recorded on a continuous basis us...
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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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Ali Shubbar, Mohammed Salah Nasr, Abdullah Kadhim, Tameem Mohammed Hashim and Monower Sadique
Pavement deterioration is mainly caused by high traffic loading and by increased levels of runoff water resulting from storms, floods, or other reasons. Consequently, this issue can be efficiently solved by employing permeable pavement, such as permeable...
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Betty Susanti, Edi Kadarsa, Mona Foralisa, Ika Juliantina
The purpose of providing toll road infrastructure through Public-Private Partnerships (PPP) is to ensure that the private sector generates sufficient revenue to manage road operations and maintenance effectively. However, in many countries, various pract...
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Irina Kochetkova, Anna Kushchazli, Sofia Burtseva and Andrey Gorshenin
Fifth-generation (5G) networks require efficient radio resource management (RRM) which should dynamically adapt to the current network load and user needs. Monitoring and forecasting network performance requirements and metrics helps with this task. One ...
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Hairuilong Zhang, Yangsong Gu and Lee D. Han
Intelligent transportation systems (ITSs) usually require monitoring of massive road networks and gathering traffic data at a high spatial and temporal resolution. This leads to the accumulation of substantial data volumes, necessitating the development ...
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Eugenio Cesario, Paolo Lindia and Andrea Vinci
Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such an amount of information is analyzed to discover data-driven models, which can be expl...
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DingXin Cheng and Lerose Lane
Single chip seals are used by many agencies to maintain or preserve their roadways. While the construction and performance of single chip seals can be easily found from literature, the construction of double chip seals with and without paving fabric or p...
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Song Xin, Ziyi Wang, Huifeng Su, Liuhong Shang, Kun Meng, Xiang Wang, Zhiyong Zhou, Zhongxiao Zhao and Pengfei Zhang
In order to study the safety state of the structure of a cross-sea cable-stayed bridge during its operation period, this paper proposes a combined long-term traffic prediction model based on the XGBoost (eXtreme Gradient Boosting) model and LSTM (Long Sh...
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