The focus of this survey is on spatio-temporal data mining and database retrieval for visual traffic surveillance systems. In many traffic surveillance applications, such as incident detection, abnormal events detection, vehicle speed estimation, and traffic volume estimation, the data used for reasoning is really in the form of spatio-temporal data (e.g. vehicle trajectories). How to effective...

With the widespread use of encrypted data transport network traffic encryption is becoming a standard nowadays. This presents a challenge for traffic measurement, especially for analysis and anomaly detection methods which are dependent on the type of network traffic. In this paper, we survey existing approaches for classification and analysis of encrypted traffic. First, we describe the most w...

Traffic forecasting is important for the success of intelligent transportation systems. Deep learning models, including convolution neural networks and recurrent networks, have been extensively applied in traffic problems to model spatial temporal dependencies. In recent years, graph structures systems as well contextual information, introduced achieved state-of-the-art performance a series pro...

Abstract—The growing road traffic congestion in India is becoming more prevalent nowadays, the worst hit being metropolitan and developed cities. Its ever-increasing nature poses a threat to development requires quick action help ease troubles faced by people on day-to-day basis. Modern technology offers great aid these efforts providing mechanisms model travel patterns of region provide relief...

Traffic classification groups similar or related traffic data, which is one main stream technique of data fusion in the field network management and security. With rapid growth users emergence new networking services, has attracted increasing attention. Many techniques have been developed widely applied. However, existing literature lacks a thorough survey to summarize, compare analyze recent a...

BACKGROUND Most epidemiologic studies use traffic at residential address as a surrogate for total traffic exposure when investigating effects of traffic on respiratory health. This study used GIS (Geographical Information Systems) to estimate traffic exposure, not only on residential, but also on workplace address, in addition to survey questions on time spent in traffic during commuting or oth...