Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

The current study aimed to investigate the influence of driving aggression on lane change
behavior. Drivers belonging to three levels of aggressive driving styles (aggressive …

To investigate the stop-and-go phenomenon triggered by car-following, a hybrid model of
micro and macro is proposed. Firstly, with the stochastic nature of driving behavior, a …

Urban geometry plays a critical role in determining paths for pedestrian flow in urban areas.
To improve the urban planning processes and to enhance quality of life for end-users in …

Managed lanes (MLs) system has been widely implemented on freeways to mitigate
congestion and improve efficiency. MLs are usually designed as concurrent with general …

Predicting lane change behavior of surrounding vehicles is critical for autonomous vehicles
as the lane change may cause conflict between vehicles. Most of the existing lane change …

Accurately tracking and predicting behaviors of surrounding objects are key prerequisites for
intelligent systems such as autonomous vehicles to achieve safe and high-quality decision …

Lane-changing is an important driving behaviour and unreasonable lane changes can
potentially result in traffic accidents. Currently, the lane-changing data are often recorded …