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Yuanqiao Wen, Yimeng Zhang, Liang Huang, Chunhui Zhou, Changshi Xiao, Fan Zhang, Xin Peng, Wenqiang Zhan and Zhongyi Sui
Recognizing ship behavior is important for maritime situation awareness and intelligent transportation management. Some scholars extracted ship behaviors from massive trajectory data by statistical analysis. However, the meaning of the behaviors, i.e., s...
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Martie van der Vlist, Luc Wismans, Paul van Beek, Leon Suijs
Pág. 3370 - 3379
Approximately 25 per cent of all congestion on motorways is caused by incidents. By virtual patrolling, incidents e.g. queues, accidents and car breakdowns on a road network, can be predicted or detected in an early stage. This early detection and predic...
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Carl Goves, Robin North, Ryan Johnston, Graham Fletcher
Pág. 184 - 195
To be able to predict reliably traffic conditions over the short term (15 minutes into the future) may reduce congestion on a transport system. With the emergence of large datasets comes the opportunity to test the effectiveness of pattern recognition te...
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Chandan Keerthi Kancharla,Álvaro Jorge Maia Seco,Ana Maria César Bastos Silva
Pág. 1 - 8
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