A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns
Proactive lane-changing (LC) risk prediction can assist driver's LC decision-making to
ensure driving safety. However, most previous studies on LC risk prediction did not consider …
ensure driving safety. However, most previous studies on LC risk prediction did not consider …
Fine-grained highway autonomous vehicle lane-changing trajectory prediction based on a heuristic attention-aided encoder-decoder model
C Wei, F Hui, Z Yang, S Jia, AJ Khattak - Transportation Research Part C …, 2022 - Elsevier
Accurate prediction of lane-changing (LC) trajectories can improve traffic efficiency and
reduce the probability of accidents, as well as provide driving strategies for intelligent …
reduce the probability of accidents, as well as provide driving strategies for intelligent …
Application of naturalistic driving data: A systematic review and bibliometric analysis
MR Alam, D Batabyal, K Yang, T Brijs… - Accident Analysis & …, 2023 - Elsevier
The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …
research questions in the area of driving behavior assessment, as well as the impact of …
Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario
C Wei, F Hui, AJ Khattak, Y Zhang, W Wang - Expert Systems with …, 2023 - Elsevier
Virtual simulation testing (VST) has become the main testing method for autonomous driving
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …
Left-turn risk assessment of autonomous vehicles at unsignalized intersections
M Zhang, Z Wang, M Li, P Wang… - 2022 5th International …, 2022 - ieeexplore.ieee.org
In order to evaluate the interaction risk from surrounding vehicles when an autonomous
vehicle turns left at unsignalized intersections, this paper proposes a novel left-turn risk …
vehicle turns left at unsignalized intersections, this paper proposes a novel left-turn risk …
Observed the Unobservable: Lane Change Estimation with Following Vehicles' Trajectories only
In intelligent transportation systems, where there is not yet 100% penetration of connected
vehicles, Traffic State Estimation (TSE) is crucial for all traffic participants, including both …
vehicles, Traffic State Estimation (TSE) is crucial for all traffic participants, including both …
Trajectory Reconstruction at Multi-Lane Freeways Based on Fixed-Point Detector Data and Connected Vehicle Trajectory Data
Y Zhou, W Xu, X Chen, J Lin, B Chen, C Yu - CICTP 2024, 2024 - ascelibrary.org
Connected vehicle (CV) trajectory data provide a promising data source for the
reconstruction of regular vehicle (RV) trajectories. However, most existing studies focus on …
reconstruction of regular vehicle (RV) trajectories. However, most existing studies focus on …
Data-Centric Models for Critical Maneuver Prediction Using Naturalistic Driving Dataset
H Pham - 2022 - search.proquest.com
The last few years have seen a significant interest in driver behavior recognition. This is
particularly true in the new era of advanced technologies, for instance connected and …
particularly true in the new era of advanced technologies, for instance connected and …