2023
DOI: 10.11591/ijece.v13i4.pp4649-4660
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Towards a new intelligent traffic system based on deep learning and data integration

Abstract: <span lang="EN-US">Time series forecasting is an important technique to study the behavior of temporal data in order to forecast the future values, which is widely applied in intelligent traffic systems (ITS). In this paper, several deep learning models were designed to deal with the multivariate time series forecasting problem for the purpose of long-term predicting traffic volume. Simulation results showed that the best forecasts are obtained with the use of two hidden long short-term memory (LSTM) lay… Show more

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“…Within the realm of smart city initiatives, traffic management stands as a crucial area of focus. The rapid urbanization and technological advancements witnessed in modern cities have posed significant challenges in effectively managing traffic, primarily due to the increasing urban population and resulting traffic congestion [3], [4]. To tackle this pressing issue, emerging technologies such as the internet of things (IoT) [5]- [7] have garnered substantial interest.…”
Section: Introductionmentioning
confidence: 99%
“…Within the realm of smart city initiatives, traffic management stands as a crucial area of focus. The rapid urbanization and technological advancements witnessed in modern cities have posed significant challenges in effectively managing traffic, primarily due to the increasing urban population and resulting traffic congestion [3], [4]. To tackle this pressing issue, emerging technologies such as the internet of things (IoT) [5]- [7] have garnered substantial interest.…”
Section: Introductionmentioning
confidence: 99%