Traffic incident management in metropolitan areas is crucial for the recovery of road systems
from accidents as well as the mobility and safety of the community. With the continuous …

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 …

In foggy highways, the secure vehicular communication system can be very important in
preventing traffic chaos, congestion, and accident; however, potential attackers may hack …

Autonomous vehicles (AVs) promise a future with safer, cleaner, more efficient, and more
reliable transportation. However, the current approach to autonomy has focused on building …

Lane closure due to events such as accidents creates bottlenecks on expressways. The
mandatory lane changes of merging vehicles lead to congestion. As the cyber-physical …

Examining driving behaviour is crucial for traffic operations because of its influence on driver
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …

Traffic self-organizing is controlled autonomously by rules that rely on adaptation to local
variations in traffic state and enable effective coordination of the vehicular traffic at a network …

Ephemeral traffic incidents, such as a fallen tree on a road, pose traffic safety hazards, and
impact locally on traffic. While these incidents are neither predictable nor persistent, their …

This article proposes a model to estimate the probability of a vehicle reaching a near-term
goal state using one or multiple lane changes based on parameters corresponding to traffic …

Traffic delay in arterial road is an important criterion in the judgment of service level of
transportation. At present, there exist a certain degree of congestion problems in most road …