Short-Term Traffic Congestion Prediction with Deep Learning for LoRa Networks

SoutheastCon 2022(2022)

Cited 3|Views4
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Abstract
Real-time prediction of traffic congestion enables intelligent transportation systems to improve traffic mobility, reduce delays, and enhance road safety. In this paper, an intelligent traffic congestion prediction system is presented to classify the traffic status across a road network using machine learning. It applies a long short term memory (LSTM) model to estimate the traffic congestion for ...
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Key words
Computational modeling,Predictive models,Real-time systems,Sensor systems,Road safety,Sensors,Traffic congestion
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