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 …

With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …

Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …

The ever-growing Internet of Things (IoT) provides a powerful means for complex and
changeable environmental monitoring. Directional sensor networks (DSNs), as a typical …

During navigation, people may deviate from an already planned path. Possible reasons
include traffic congestion, difficulty in following instructions, or personal preferences, as …

The foundation of ad hoc networks lies in the guarantee of continuous connectivity.
However, critical nodes, whose failure can easily destroy network connectivity, will influence …

The occurrence of traffic accidents in cities is often accompanied by property losses,
environmental pollution, casualties, and congestion. Predicting the spatio-temporal range of …

The dissemination of traffic incident information (TII) will greatly help to decrease fuel
consumption and congestion under future Internet of Vehicles (IoV) environments …

We present a novel analytical model to approximate the travel-time distribution of vehicles
traversing a freeway corridor that experiences random quality of service degradations due to …

At present, most of the resource allocation methods in mobile edge computing allocate
computing resources according to the time order in which task requests are calculated and …