Add to ORKGIn recent years, Artificial Intelligence (AI) has gained much popularity in the real world due to its capability to outperform the human mind. With the ever-evolving technologies, AI plays a vital role in society. In fact, it has become a constant necessity in our daily lives and it is projected to continually grow exponentially in the upcoming years. In Intelligent Transporation Systems (ITS), traffic prediction has been a leading topic of interest amongst researchers in specialized fields. In this paper, we will explore the art of deep learning and examine the feasibility of using Time-Series AI models for predicting future traffic flow using historical data in large-scale roadway networks. The goal of this research is to achieve h...
Time series forecasting is an important technique to study the behavior of temporal data in order to...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Congestion on roadways is an issue in many cities, especially at peak times, which causes air and no...
In recent years, traffic congestion prediction has led to a growing research area, especially of mac...
Many methods of traffic prediction have been proposed over the years, from the time series models ov...
This study attempts to develop a model that forecasts precise data on traffic flow. Everything that ...
Timely forecast of traffic is very much needed for smart cities, which allows travelers and governme...
2019PDFTech Report69A3551747124Advanced traffic management systemsArtificial intelligenceData fusion...
In the past few years, Deep learning has re-emerged as a powerful tool to solve complex problems and...
Traffic prediction plays a crucial role in an intelligent transportation system (ITS) for enabling a...
The amount of cars on the roads is increasing at a rapid pace, causing traffic jams to become common...
After the previous literature survey, it is found that short-term traffic flow prediction is very im...
Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of ser...
Prompt and accurate prediction of traffic flow is quite useful. It will help traffic administrator t...
Traffic Flow prediction is a very important part of managing traffic flows on the road network. It p...
Time series forecasting is an important technique to study the behavior of temporal data in order to...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Congestion on roadways is an issue in many cities, especially at peak times, which causes air and no...
In recent years, traffic congestion prediction has led to a growing research area, especially of mac...
Many methods of traffic prediction have been proposed over the years, from the time series models ov...
This study attempts to develop a model that forecasts precise data on traffic flow. Everything that ...
Timely forecast of traffic is very much needed for smart cities, which allows travelers and governme...
2019PDFTech Report69A3551747124Advanced traffic management systemsArtificial intelligenceData fusion...
In the past few years, Deep learning has re-emerged as a powerful tool to solve complex problems and...
Traffic prediction plays a crucial role in an intelligent transportation system (ITS) for enabling a...
The amount of cars on the roads is increasing at a rapid pace, causing traffic jams to become common...
After the previous literature survey, it is found that short-term traffic flow prediction is very im...
Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of ser...
Prompt and accurate prediction of traffic flow is quite useful. It will help traffic administrator t...
Traffic Flow prediction is a very important part of managing traffic flows on the road network. It p...
Time series forecasting is an important technique to study the behavior of temporal data in order to...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Congestion on roadways is an issue in many cities, especially at peak times, which causes air and no...