Toward computational simulations of behavior during automated driving takeovers: a review of the empirical and modeling literatures
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 …
and driver modeling to identify influential factors and their impacts on takeover performance …
Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways
Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …
development of connected and autonomous vehicles (CAVs), there comes both challenges …
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios
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 …
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …
[HTML][HTML] Human-like driving behaviour emerges from a risk-based driver model
Current driving behaviour models are designed for specific scenarios, such as curve driving,
obstacle avoidance, car-following, or overtaking. However, humans can drive in diverse …
obstacle avoidance, car-following, or overtaking. However, humans can drive in diverse …
[HTML][HTML] Integrated nonlinear model predictive control for automated driving
N Chowdhri, L Ferranti, FS Iribarren… - Control Engineering …, 2021 - Elsevier
This work presents a Nonlinear Model Predictive Control (NMPC) scheme to perform
evasive maneuvers and avoid rear-end collisions. Rear-end collisions are among the most …
evasive maneuvers and avoid rear-end collisions. Rear-end collisions are among the most …
A farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergencies
Driver braking behavior was analyzed using time-series recordings from naturalistic rear-
end conflicts (116 crashes and 241 near-crashes), including events with and without visual …
end conflicts (116 crashes and 241 near-crashes), including events with and without visual …
Understanding the potential of emerging digital technologies for improving road safety
Abstract Each year, 1.35 million people are killed on the world's roads and another 20–50
million are seriously injured. Morbidity or serious injury from road traffic collisions is …
million are seriously injured. Morbidity or serious injury from road traffic collisions is …
Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning
Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …
situations. This study aims to develop a lane-change-related evasive behavior model, which …
Comparison of path tracking and torque-vectoring controllers for autonomous electric vehicles
Steering control for path tracking in autonomous vehicles is well documented in the
literature. Also, continuous direct yaw moment control, ie, torque-vectoring, applied to …
literature. Also, continuous direct yaw moment control, ie, torque-vectoring, applied to …
Variable-drift diffusion models of pedestrian road-crossing decisions
Human behavior and interaction in road traffic is highly complex, with many open scientific
questions of high applied importance, not least in relation to recent development efforts …
questions of high applied importance, not least in relation to recent development efforts …