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Rapid Driving Style Recognition in Car‐Following Using Machine Learning and Vehicle Trajectory Data
Q Xue, K Wang, JJ Lu, Y Liu - Journal of advanced …, 2019 - Wiley Online Library
Rear‐end collision crash is one of the most common accidents on the road. Accurate driving
style recognition considering rear‐end collision risk is crucial to design useful driver …
style recognition considering rear‐end collision risk is crucial to design useful driver …
Driver trust in automated driving systems: The case of overtaking and passing
G Abe, K Sato, M Itoh - IEEE Transactions on Human-Machine …, 2017 - ieeexplore.ieee.org
It is important to learn about the factors that affect a driver's willingness to rely on an
automated driving system in order to maintain appropriate trust in the system. The purpose …
automated driving system in order to maintain appropriate trust in the system. The purpose …
Unsupervised and supervised learning with the random forest algorithm for traffic scenario clustering and classification
The goal of this paper is to provide a method, which is able to find categories of traffic
scenarios automatically. The architecture consists of three main components: A microscopic …
scenarios automatically. The architecture consists of three main components: A microscopic …
Modeling pedestrians' subjective danger perception toward personal mobility vehicles
Personal mobility vehicles (PMVs) are gaining popularity as an eco-friendly transport mode
for short-distance trips in urban environments. These vehicles can provide numerous …
for short-distance trips in urban environments. These vehicles can provide numerous …
Characterization of expert drivers' last-second braking and its application to a collision avoidance system
Expert drivers' deceleration patterns in last-second braking will be formulated using a
perceptual risk index for the approach and the proximity of a preceding vehicle as examples …
perceptual risk index for the approach and the proximity of a preceding vehicle as examples …
When and how to apply automatic emergency brakes based on risk perception and professional driver emergency braking behavior
F Lai, C Huang, C Jiang - SAE International journal of vehicle dynamics …, 2023 - sae.org
The key issues of automatic emergency braking (AEB) control algorithm are when and how
to brake. This article proposes an AEB control algorithm that integrates risk perception (RP) …
to brake. This article proposes an AEB control algorithm that integrates risk perception (RP) …