In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

With the concept of Internet-of-Things, autonomous vehicles can provide higher driving
efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …

Distracted driver action is the main cause of road traffic crashes, which threatens the security
of human life and public property. Based on the observation that cues (like the hand holding …

Abnormal driving behaviour is a leading cause of serious traffic accidents threatening
human life and public property globally. In this paper, we investigate the use of a deep …

Lane change and crash risk prediction are critical technologies for autonomous driving. An
attention-based LSTM model is proposed in this paper for lane change behavior prediction …

Automated driving will have a big impact on society, creating new possibilities for mobility
and reducing road accidents. Current developments aim to provide driver assistance in the …

During overtaking maneuvers on two-way highways drivers must temporarily cross into the
opposite lane of traffic, and may face oncoming vehicles. To judge when it is safe to …

Inspection of defects in civil infrastructure has been a constant field of research. In the
current operational paradigm, a technician is responsible to go physically to the field in order …

In the modern challenging urban environment, powered two wheelers (PTW) are selected
for their everyday commuting. The way motorcycles and scooters travel through traffic is …

According to statistics, the majority of accidents are attributed to driver negligence,
especially when a driver intends to lane change or to overtake another vehicle, which is …