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Yihu Zhou, Haiming Chen and Zhibin Dou
In satellite networks, existing congestion resolution methods do not consider the predictability and stability of paths, leading to frequent path switches and high maintenance costs. In this regard, we propose a novel congestion resolution approach, name...
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Eri Itoh, Koji Tominaga, Michael Schultz and Vu N. Duong
Free route airspace allows airspace users to freely plan a route in en-route airspaces within certain restrictions. It is anticipated to offer the benefit of fuel saving and operational flexibility. Regarding its efficient implementation into the ASEAN a...
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Sorin Zoican, Roxana Zoican, Dan Galatchi and Marius Vochin
This paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. Neural networks based on graphs have the advantage of capturi...
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Yiming Zhao and Jing Dong-O?Brien
Traffic breakdown is the transition of traffic flow from an uncongested state to a congested state. During peak hours, when a large number of on-ramp vehicles merge with mainline traffic, it can cause a significant drop in speed and subsequently lead to ...
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Saba Al-Rubaye, Antonios Tsourdos and Kamesh Namuduri
Advanced air mobility (AAM) is an emerging sector in aviation aiming to offer secure, efficient, and eco-friendly transportation utilizing electric vertical takeoff and landing (eVTOL) aircraft. These vehicles are designed for short-haul flights, transpo...
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Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
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Wenyun Tang, Jiahui Chen, Chao Sun, Hanbing Wang and Gen Li
Traffic parameter characteristics in congested road networks are explored based on traffic flow theory, and observed variables are transformed to a uniform format. The Gaussian mixture model is used to reconstruct route trajectories based on data regardi...
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Nastaran Peimani and Hesam Kamalipour
The imperative to address the challenge of transforming car-dependent cities and promoting sustainable mobilities requires that we engage with the relationships between urban morphology and forms of urbanity in public spaces surrounding transit nodes. Wh...
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Jiahao Qi, Jundong Zhang and Qingyan Meng
In the intelligent perception of the marine engine room, visual identification of auxiliary equipment is the prerequisite for defect recognition and anomaly detection. To improve the detection accuracy, this study presents an auxiliary equipment detector...
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Bowen Yang, Jin Yan, Zhi Cai, Zhiming Ding, Dongze Li, Yang Cao and Limin Guo
Emergency path planning technology is one of the research hotspots of intelligent transportation systems. Due to the complexity of urban road networks and congested road conditions, emergency path planning is very difficult. Road congestion caused by urb...
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