Predicting Vacant Parking Space Availability: A Long Short-Term Memory Approach
IEEE Intelligent Transportation Systems Magazine(2022)
摘要
The accurate prediction of vacant parking space availability is becoming increasingly essential for assisting drivers to determine where to park in advance. It helps ease traffic pressure and reduce gas emission and pollution. This article proposes a novel multistep long short-term memory recurrent neural network (LSTM-NN) model to predict the number of the vacant parking spaces on the basis of hi...
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关键词
Predictive models,Machine learning,Neural networks,Data models,Benchmark testing,Real-time systems,Computational modeling
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