activity
20232026
most citedOverview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space

Hao Zhang, Zihao Li, Yang Zhou

Lane-change, a triggering of traffic disturbances to the upstream vehicles, is detrimental to traffic safety and efficiency. Coupled with car-following behavior, the joint maneuver…

cs.RO2026

Longitudinal-Motion-Aware Lateral Control for Autonomous Vehicles: A Robust Nonlinear Control Framework

Sixu Li, Nitesh Kumar, Reyshwanth Ganeshan +3

As autonomous vehicles (AVs) operate in increasingly dynamic traffic conditions, lateral control must be performed while longitudinal speed and acceleration vary. Yet many existing…

eess.SY2024★ 3 cited

Overview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow

Zihao Li, Sixu Li, Hao Zhang +3

While perception systems in Connected and Autonomous Vehicles (CAVs), which encompass both communication technologies and advanced sensors, promise to significantly reduce human dr…

eess.SY2023★ 2 cited

Beyond 1D and oversimplified kinematics: A generic analytical framework for surrogate safety measures

Sixu Li, Mohammad Anis, Dominique Lord +3

This paper presents a generic analytical framework tailored for surrogate safety measures (SSMs) that is versatile across various highway geometries, capable of encompassing vehicl…

eess.SY2023★ 1 cited

Sequencing-enabled Hierarchical Cooperative CAV On-ramp Merging Control with Enhanced Stability and Feasibility

Sixu Li, Yang Zhou, Xinyue Ye +2

This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging control framework. The proposed framework consists of a two-laye…