The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Objective: This article provides a review of empirical studies of automated vehicle takeovers
and driver modeling to identify influential factors and their impacts on takeover performance …

In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

Cut-in maneuvers, when vehicles change lane and move closely in front of a vehicle in the
adjacent lane, are very common but adversely affect roadway capacity and traffic safety. Yet …

Identifying and evaluating the potential risks in the surrounding environment is critical for
intelligent vehicles' safety and user experience. This paper provides a comprehensive …

Current advanced driver assistance systems (ADASs) do not consider drivers' preferences of
evasive behavior types and risk levels under rear-end near-crash scenarios, which …

Accurate maneuver prediction for surrounding vehicles enables intelligent vehicles to make
safe and socially compliant decisions in advance, thus improving the safety and comfort of …

The lane changing manoeuvre is a fundamental driver behaviour that determines vehicle
distribution across lanes. Lane-changing behaviour has a significant effect on traffic flow and …

In this paper, a differential-evolution-based approach implementing a global search strategy
to find a near-optimal axis-parallel decision tree is introduced. In this paper, the internal …

Road safety of vulnerable road users in low-and middle-income countries (LMICs) is a major
concern. Footbridges or overpasses are pieces of infrastructure designed to allow …