activity
20212025
most citedAnti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis

19 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Dynamic Modes as Time Representation for Spatiotemporal Forecasting

Menglin Kong, Vincent Zhihao Zheng, Xudong Wang +1

This paper introduces a data-driven time embedding method for modeling long-range seasonal dependencies in spatiotemporal forecasting tasks. The proposed approach employs Dynamic M…

stat.AP2023★ 19 cited

Anti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis

Xudong Wang, Lijun Sun

Highway traffic states data collected from a network of sensors can be considered a high-dimensional nonlinear dynamical system. In this paper, we develop a novel data-driven metho…

stat.AP2022★ 12 cited

Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes

Zhanhong Cheng, Xudong Wang, Xinyuan Chen +2

Modeling the relationship between vehicle speed and density on the road is a fundamental problem in traffic flow theory. Recent research found that using the least-squares (LS) met…

math.OC2022

Securing Signal-free Intersections against Strategic Jamming Attacks: A Macroscopic Approach

Yumeng Bai, Saurabh Amin, Xudong Wang +1

We consider the security-by-design of a signal-free intersection for connected and autonomous vehicles in the face of strategic jamming attacks. We use a fluid model to characteriz…

cs.LG2021★ 8 cited

Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection

Xudong Wang, Luis Miranda-Moreno, Lijun Sun

Spatiotemporal traffic data (e.g., link speed/flow) collected from sensor networks can be organized as multivariate time series with additional spatial attributes. A crucial task i…

cs.LG2021★ 4 cited

Low-Rank Hankel Tensor Completion for Traffic Speed Estimation

Xudong Wang, Yuankai Wu, Dingyi Zhuang +1

This paper studies the traffic state estimation (TSE) problem using sparse observations from mobile sensors. Most existing TSE methods either rely on well-defined physical traffic…