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Thilo Reich, David Hulbert and Marcin Budka
This study presents a working concept of a model architecture allowing to leverage the state of an entire transport network to make estimated arrival time (ETA) and next-step location predictions. To this end, a combination of an attention mechanism with...
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Xin Zhou, Peixin Dong, Jianping Xing and Peijia Sun
Accurate prediction of bus arrival times is a challenging problem in the public transportation field. Previous studies have shown that to improve prediction accuracy, more heterogeneous measurements provide better results. So what other factors should be...
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Tingting Yin, Gang Zhong, Jian Zhang, Shanglu He, Bin Ran
Pág. 4623 - 4636
Accurate bus arrival time is fundamental for efficient bus operation and dispatching decisions. This paper proposed a new prediction model based on support vector machine (SVM) and artificial neural network (ANN) to predict bus arrival time at an objecti...
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