Predicting Vacant Parking Space Availability: A Long Short-Term Memory Approach

IEEE Intelligent Transportation Systems Magazine(2022)

引用 15|浏览15
暂无评分
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...
更多
查看译文
关键词
Predictive models,Machine learning,Neural networks,Data models,Benchmark testing,Real-time systems,Computational modeling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要