Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

Traffic prediction plays a vital role in the process of urban traffic management. Various traffic
prediction applications will include different traffic analysis parameters, such as traffic signal …

Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

Taxi is one of the important means of transportation for people's daily travel activities, and it
is one of the important research objects of intelligent transportation system. Taxi demand …

Traffic congestion prediction is a vital part of Intelligent Transportation Systems in smart
cities. Effective methods for traffic congestion prediction can help people make travel plans …

With the rapid expansion of sensor technologies and wireless network infrastructure,
research and development of traffic associated applications, such as real-time traffic maps …

With the rapid development of economy, the sharp increase in the number of urban cars and
the backwardness of urban road construction lead to serious traffic congestion of urban …

This paper investigates the impacts of winter maintenance operations (WMO) on road safety
under different weather conditions using connected vehicle data. In particular, the impacts of …

This paper presents a novel approach to intersection improvement planning utilizing
telematics data from connected vehicles to generate performance measures for mobility …

Traffic situation awareness and alerting assisted by adverse weather conditions contributes
to improve traffic safety, disaster coping mechanisms, and route planning for government …