106   Artículos

 
en línea
Zitao Du, Wenbo Yang, Yuna Yin, Xinwei Ma and Jiacheng Gong    
When new rail stations or lines are planned, long-term planning for decades to come is required. The short-term passenger flow prediction is no longer of practical significance, as it only takes a few factors that affect passenger flow into consideration... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ivan Catipovic, Marta Pedi?ic-Buca and Jo?ko Parunov    
An innovative tourist submarine was studied by scale-model tests in a towing tank to determine its steering capabilities and detect motion instabilities during usual manoeuvres and emergency rising. Motion instabilities are caused by the combination of t... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Suppapon Tetiranont, Wannapol Sadakorn, Napong Tao Rugkhapan and Lapyote Prasittisopin    
An environmentally conscious architectural design of a railway station can have a substantial influence on government spending. Nevertheless, an extensive collection of guidelines for using sustainable design principles in the construction of a railway s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Hui Zhang, Yu Cui, Yanjun Liu, Jianmin Jia, Baiying Shi and Xiaohua Yu    
Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS?metro trips. Then, DBS trip data, m... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
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
Revista: Applied Sciences    Formato: Electrónico

 
en línea
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
Revista: Buildings    Formato: Electrónico

 
en línea
Jianpo Wang, Meng Zhao, Teng Ai, Qushun Wang and Yufan Liu    
There is a causal interaction between urban rail passenger flow and the station-built environment. Analyzing the implicit relationship can help clarify rail transit operations or improve the land use planning of the station. However, to characterize the ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
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
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Liang Wang, Yangli Li, Shudan Deng and Juan Zhao    
The research focuses on the air-conditioning system in a public area of a subway station. To address this, an optimization model based on the grid time segmentation method was constructed, specifically a GM (1,1) model. We explored the influence of the h... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
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
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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