The integration of multi-source transportation data is complex and insufficient in most of the
big cities, which made it difficult for researchers to conduct in-depth data mining to improve …

The rapid converging of big data and IoT (Internet of Things) technologies provides more
opportunities in the area of road traffic applications. In this paper, we discuss a timeline …

Monitoring and understanding traffic behaviour plays a vital role to handle the daily needs of
the users in a smart way, especially in highly populated big cities. Events pulling in big …

Abstract Analysis of traffic conduct, mainly in densely populated urban areas, provides an
excellent opportunity to study traffic patterns and extract useful information to help in …

The escalation of traffic congestion in urban cities has urged many countries to use
intelligent transportation system (ITS) centers to collect historical traffic sensor data from …

It is important that both static and dynamic information is efficiently used to create a suitable
tourism plan. However, collecting, accumulating and managing dynamic information can …

In recent years, the number of people embarking on leisure-travel trips has increased
rapidly. Consequently, travel patterns have changed depending on the type of leisure trip …

Due to the increasing number of vehicles in recent years, traffic congestion problem is a
common issue for residents of metropolises. For a better understanding of traffic congestion …

Today many traffic information centers are collecting road traffic data from various sensors
and require enhanced analytic processing to transform raw data into traffic information. One …

Due to the growing number of collected traffic data, big data technology enables us to obtain
in-depth analysis of road traffic data. For better understanding for traffic behaviors, the …