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

3 citations · 3 across the 3 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.SY20243 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

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

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…