|
|
|
Maja Ahac, Sa?a Ahac, Igor Majstorovic and ?eljko Stepan
This paper aims to contribute to the process of evaluating urban rail infrastructure projects through the presentation of the methodology and the results of a preliminary feasibility study concerning the revitalization, development, and (re)integration o...
ver más
|
|
|
|
|
|
|
Huang Feng and Yu Zhang
Extensive research in predicting annual passenger throughput has been conducted, aiming at providing decision support for airport construction, aircraft procurement, resource management, flight scheduling, etc. However, how airport operational throughput...
ver más
|
|
|
|
|
|
|
Li Cai, Cong Sha, Jing He and Shaowen Yao
Traffic flows (e.g., the traffic of vehicles, passengers, and bikes) aim to reveal traffic flow phenomena generated by traffic participants in traffic activities. Various studies of traffic flows rely heavily on high-quality traffic data. The taxi GPS tr...
ver más
|
|
|
|
|
|
|
Xianlei Fu, Maozhi Wu, Sasthikapreeya Ponnarasu and Limao Zhang
This research introduces a hybrid deep learning approach to perform real-time forecasting of passenger traffic flow for the metro railway system (MRS). By integrating long short-term memory (LSTM) and the graph convolutional network (GCN), a hybrid deep ...
ver más
|
|
|
|
|
|
|
Miro Petkovic, Igor Vujovic, Zvonimir Lu?ic and Jo?ko ?oda
Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime safe...
ver más
|
|
|
|
|
|
|
Bianca I. Schuchardt, Dagi Geister, Thomas Lüken, Franz Knabe, Isabel C. Metz, Niklas Peinecke and Karolin Schweiger
Urban air mobility is a rapidly growing field of research. While drones or unmanned aerial vehicles have been operated mainly in the private and military sector in the past, an increasing range of opportunities is opening up for commercial applications. ...
ver más
|
|
|
|
|
|
|
Ömer Kaya, Muhammed Yasin Çodur and Enea Mustafaraj
Autonomous vehicles have gained popularity in recent years, but they are still not compatible with other vulnerable components of the traffic system, including pedestrians, bicyclists, motorcyclists, and occupants of smaller vehicles such as passenger ca...
ver más
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
Min Yue and Shuhong Ma
A crucial component of multimodal transportation networks and long-distance travel chains is the forecasting of transfer passenger flow between integrated hubs in urban agglomerations, particularly during periods of high passenger flow or unusual weather...
ver más
|
|
|
|
|
|
|
Lingxiang Wei, Dongjun Guo, Zhilong Chen, Jincheng Yang and Tianliu Feng
Rational use of urban underground space (UUS) and public transportation transfer underground can solve urban traffic problems. Accurate short-term prediction of passenger flow can ensure the efficient, safe, and comfortable operation of subway stations. ...
ver más
|
|
|
|