Planning effective routes and monitoring vehicle traffic are essential for creating sustainable
smart cities. Accurate speed prediction is a key component of these efforts, as it aids in …

A smart city improves the quality of its citizens by providing access to ubiquitous services.
Intelligent Transportation Systems (ITS) have a fundamental role in transforming a …

Currently, many types of traffic data from different advanced data collection techniques are
available. Plenty of effort has been spent to take full advantage of the heterogeneous data to …

Traffic flow prediction using big data and deep learning attracts great attentions in recent
years. Researchers show that DNN models can provide better traffic prediction accuracy …

City-wide traffic flow forecasting is a significant function of the Intelligent Transport System
(ITS), which plays an important role in city traffic management and public travel safety …

Both road users and road administrators are keen to know traffic flow of fine-grained vehicle
type. Successful prediction on the traffic flow of heavy, medium and small vehicle could …

In present-day times, the number of vehicles has increased drastically, but in contrast, the
capabilities of our roads and transportation systems still remain underdeveloped and as a …

With the construction and development of smart cities, accurate and real-time traffic
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …

Deep neural networks (DNNs) have recently demonstrated the capability to predict traffic
flow with big data. While existing DNN models can provide better performance than shallow …

Traffic flow forecasting or prediction plays an important role in the traffic control and
management of a city. Existing works mostly train a model using the traffic flow data of a city …