Pedestrians' responses to scalable automated vehicles with different external human-machine interfaces: Evidence from a video-based eye-tracking experiment
W Lyu, W Zhang, X Wang, Y Ding, X Yang - Transportation research part F …, 2024 - Elsevier
To enhance the efficiency and safety of interactions with pedestrians, numerous external
Human-Machine Interfaces (eHMIs) concepts for automated vehicles (AVs) have been …
Human-Machine Interfaces (eHMIs) concepts for automated vehicles (AVs) have been …
Socially Intelligent Reinforcement Learning for Optimal Automated Vehicle Control in Traffic Scenarios
H Taghavifar, C Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, a novel approach is presented for modeling the interaction dynamics between
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …
Dream to Drive With Predictive Individual World Model
Y Gao, Q Zhang, DW Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
It is still a challenging topic to make reactive driving behaviors in complex urban
environments as road users' intentions are unknown. Model-based reinforcement learning …
environments as road users' intentions are unknown. Model-based reinforcement learning …
Adaptive Crash-Avoidance Predictive Control Under Multi-Vehicle Dynamic Environment for Intelligent Vehicles
Intelligent vehicles (IVs) play a pivotal role within the Intelligent Transportation System (ITS),
significantly enhancing transportation efficiency and mitigating the risks of accidents …
significantly enhancing transportation efficiency and mitigating the risks of accidents …
Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit
G Zhu, Y Gong, J Ding, EQ Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Time granularity is a key parameter necessary for short-time passenger flow prediction of
urban rail transit (URT); however, no universal method is available for its setting. This study …
urban rail transit (URT); however, no universal method is available for its setting. This study …
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception
Y Wang, AR Srinivasan, JPP Jokinen… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents a model of pedestrian crossing decisions, based on the theory of
computational rationality. It is assumed that crossing decisions are boundedly optimal, with …
computational rationality. It is assumed that crossing decisions are boundedly optimal, with …
Metaverse for Safer Roadways: An Immersive Digital Twin Framework for Exploring Human-Autonomy Coexistence in Urban Transportation Systems
Societal-scale deployment of autonomous vehicles requires them to coexist with human
drivers, necessitating mutual understanding and coordination among these entities …
drivers, necessitating mutual understanding and coordination among these entities …