In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

Background Accurate prediction of traffic flow is an integral component in most of the
Intelligent Transportation Systems (ITS) applications. The data driven approach using Box …

Traffic flow prediction is an important research problem in many of the Intelligent
Transportation Systems (ITS) applications. The use of Autoregressive Integrated Moving …

Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …

Traffic state prediction is a key component in intelligent transport systems (ITS) and has
attracted much attention over the last few decades. Advances in computational power and …

Traffic congestion prediction is critical for implementing intelligent transportation systems for
improving the efficiency and capacity of transportation networks. However, despite its …

Outbreak passenger flow is the main cause of rail transit congestion. In this regard, the
accurate forecast of passenger flow in advance will facilitate the traffic control department to …

Traffic congestion is a major problem in develo** and developed countries vehicle traffic
management systems. Traffic control system works based on the idea of removing …

More and more enterprises are beginning to use Docker containers to build cloud platforms.
Predicting the resource usage of container workload has been an important and challenging …