Traffic flow prediction is an important precondition to alleviate traffic congestion in large-
scale urban areas. Recently, some estimation and prediction methods have been proposed …

With the increasing amount of traffic information collected through floating car data, it is
highly desirable to find meaningful traffic patterns such as congestion patterns from the …

Traffic flow measurement is very important for traffic management systems. However, the
existing traditional measurement approaches are highly time-consuming and expensive to …

Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

Traffic congestion induces significant economic loss each year, and identifying traffic
congestion patterns is necessary for better traffic control and management. Floating car data …

Current urban traffic congestion costs are increasing on account of the population growth of
cities and increasing numbers of vehicles. Many cities are adopting intelligent transportation …

Abstract The advances in Cyber–Physical Systems (CPS), vehicular networks and Intelligent
Transportation System (ITS) boost a growing interest in the design, development and …

Congestion has been a major challenge to urban traffic system. Based on GPS floating-car
data (FCD), a method to acquire traffic congestion information is studied. And then, using …

Existing intelligent transport systems (ITS) do not fully consider and resolve accuracy,
instantaneity, and compatibility challenges while resolving traffic congestion in Internet of …

By collecting and analyzing a vast quantity and different categories of information, traffic flow
and road congestion can be predicted and avoided in intelligent transportation system …