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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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 ...
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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. ...
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