Due to the restriction of traffic management measure in large cities, large heavy-haul trucks
can only travel on the circuits and expressways around the city, which often causes …

Given the enormous traffic issues, such as congestion and crashes, resulting from the
conflicts between trucks and passenger cars, an accurate and reliable prediction of truck …

The full utilization of Location-Based Vehicle Sensor Data (LB-VSD) can improve the
efficiency of traffic control and management. Currently, LB-VSD is widely applied to the …

Short-term traffic speed prediction is fundamental to intelligent transportation systems (ITS),
and the accuracy of the model largely determines the performance of real-time traffic control …

Facilitating citizens with accurate traffic flow prediction increases the quality of life. Roadside
sensors and devices are used to capture live streams of huge data and the Internet of Things …

Short-term road traffic speed prediction is a long-standing topic in the area of Intelligent
Transportation System. Apparently, effective prediction of the traffic speed on the road can …

Accuracy is important in Urban Mass Transit System (UMTS), especially for traffic control.
Traffic passenger flow prediction has a long history and is still a difficult problem due to …

Movement analytics and mobility insights play a crucial role in urban planning and
transportation management. The plethora of mobility data sources, such as GPS trajectories …

Timely and accurate traffic speed predictions are an important part of the Intelligent
Transportation System (ITS), which provides data support for traffic control and guidance …

This study integrates three data mining techniques, K-means clustering, decision trees, and
neural networks, to predict the travel time of freeway with non-recurrent congestion. By …