Car-following models: A multidisciplinary review
Car-following (CF) algorithms are crucial components of traffic simulations and have been
integrated into many production vehicles equipped with Advanced Driving Assistance …
integrated into many production vehicles equipped with Advanced Driving Assistance …
Self-learned autonomous driving at unsignalized intersections: A hierarchical reinforced learning approach for feasible decision-making
Reinforcement learning-based techniques, empowered by deep-structured neural nets,
have demonstrated superiority over rule-based methods in terms of making high-level …
have demonstrated superiority over rule-based methods in terms of making high-level …
High-resolution reconstruction of non-motorized trajectory in shared space: A new approach integrating the social force model and particle filtering
High-resolution trajectory data from the intersection shared space (ISS) is an ideal resource
for testing autonomous driving and studying microscopic traffic flow theory in urban road …
for testing autonomous driving and studying microscopic traffic flow theory in urban road …
[HTML][HTML] A behaviourally underpinned approach for two-dimensional vehicular trajectory reconstruction with constrained optimal control
Vehicle trajectory reconstruction is an indispensable step before using the observed
trajectory data for analysis. A recurrent challenge of the existing smoothing/filtering-based …
trajectory data for analysis. A recurrent challenge of the existing smoothing/filtering-based …
Signal control for overflow prevention at intersections using partial connected vehicle data
Various signal control methods assumed that the bottleneck capacity and traffic volume are
known. However, both may be unknown in nonrecurrent congestion cases, such as traffic …
known. However, both may be unknown in nonrecurrent congestion cases, such as traffic …
Exploring the impact of rainfall on vehicle trajectory patterns and sideslip risk: an empirical investigation
Understanding the sideslip risks of various trajectory patterns, as well as the impact of
rainfall on them, is critical for improving road safety. However, the lack of precise …
rainfall on them, is critical for improving road safety. However, the lack of precise …
DAnoScenE: a driving anomaly scenario extraction framework for autonomous vehicles in urban streets
Y Hu, D Zhao, Y Wang, G Zhao - Journal of Intelligent …, 2023 - Taylor & Francis
Autonomous vehicles (AVs) hold great potential to improve traffic safety. However, urban
streets present a dynamic environment where unforeseen and complex scenarios can arise …
streets present a dynamic environment where unforeseen and complex scenarios can arise …
[HTML][HTML] Vehicle Trajectory Reconstruction Using Lagrange-Interpolation-Based Framework
J Wang, Y Liang, J Tang, Z Wu - Applied Sciences, 2024 - mdpi.com
Featured Application This research contributes to the development of a technological
method to obtain highly accurate vehicle trajectory data. The reconstructed trajectory data …
method to obtain highly accurate vehicle trajectory data. The reconstructed trajectory data …
Kinematics parameter analysis of long jump based on human posture vision
S Zhou, B Li, J Chen, H Yuan - 2023 4th International …, 2023 - ieeexplore.ieee.org
In order to enable long jumpers or coaches to accurately analyze each training result and
help athletes improve their performance, this paper designs a method of analyzing the …
help athletes improve their performance, this paper designs a method of analyzing the …
Physics Informed Deep Generative Model for Vehicle Trajectory Reconstruction at Arterial Intersections in Connected Vehicle Environment
Inferring the complete traffic flow time-space diagram using vehicle trajectories provides a
holistic perspective of traffic dynamics at intersections to traffic managers. However …
holistic perspective of traffic dynamics at intersections to traffic managers. However …