A Joint Spatiotemporal Prediction and Image Confirmation Model for Vehicle Trajectory Concatenation With Low Detection Rates
Ensuring the quality of trajectories is of utmost importance in traffic flow analysis. Traditional
approaches rely on reconstructing nearly complete trajectories and subsequently denoising …
approaches rely on reconstructing nearly complete trajectories and subsequently denoising …
Real-time data stream learning for emergency decision-making under uncertainty
K Wang, L Xiong, R Xue - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
As one factor resulting in health emergency, climate change has received high attention in
recent years. Real-time identifying and tracking the potential climate-related risk becomes …
recent years. Real-time identifying and tracking the potential climate-related risk becomes …
Do traffic flow states follow Markov properties? A high-order spatiotemporal traffic state reconstruction approach for traffic prediction and imputation
Assessing traffic states accurately is challenging due to the complex, high-dimensional, and
nonlinear nature of traffic systems. This study introduces the innovative High-Order …
nonlinear nature of traffic systems. This study introduces the innovative High-Order …
Learning-Based Vehicle State Estimation Using Gaussian Process Regression Combined with Extended Kalman Filter
Q Li, H He, X Chen, J Gao - Journal of the Franklin Institute, 2024 - Elsevier
In order to address the challenge of accurate vehicle state estimation, especially in highly
nonlinear and complex operating conditions, this paper proposes a learning-based method …
nonlinear and complex operating conditions, this paper proposes a learning-based method …
Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model
S Wang, C Dong, C Shao, S Luo, J Zhang… - Frontiers of Engineering …, 2024 - Springer
Accurate traffic state estimations (TSEs) within road networks are crucial for enhancing
intelligent transportation systems and developing effective traffic management strategies …
intelligent transportation systems and developing effective traffic management strategies …
Multivariate Travel Time Forecasting in a Traffic Network Using Fuzzy Cognitive Mapping
DPM Abellana - 2023 IEEE World Conference on Applied …, 2023 - ieeexplore.ieee.org
Traffic forecasting is a crucial component in the implementation of efficient traffic
management and control. While various works have been made in this area, most of the …
management and control. While various works have been made in this area, most of the …