Traditional trajectory anomaly detection aims to find abnormal trajectory points or sequences
using data mining techniques. As a comparison, we focus on the evaluation of the …

Driving style can be characteristically divided into normal and aggressive. Related
researches show that useful information about driving style can be extracted using vehicle's …

For many institutions, it is important to evaluate a given driving technique as safe or unsafe
based on measurable vehicle movement parameters. The paper constitutes a part of studies …

Most research in vehicle automation has mainly focused on the safety aspect with only
limited studies focusing on occupants' discomfort. To facilitate their rapid uptake and …

Introduction: Urban expressway interchanges have become accident-prone sites owing to
the accelerated increase in motor-vehicle ownership. This study explored the impact of …

System that can identify safe and aggressive driving behavior is useful in nowadays
transportation service sector: both in private and public. In this paper, we propose a …

This paper proposes a measurement of risk (MOR) method to recognize risky driving
behavior based on the trajectory data extracted from surveillance videos. Three types of …

With the considerable increase in ownership of motor vehicles, traffic crashes have become
a challenge. This paper presents a study of naturalistic driving conducted to collect driving …

Vehicle-borne millimeter wave radar sensor may malfunction during signal acquisition and
transmission process, which will affect the decision of adaptive cruise control (ACC) system …

In developing countries, heavy-duty trucks play an important role in transportation for
infrastructure construction. However, frequent truck accidents cause great losses. Previous …