Xiaopeng Li

Orcid: 0000-0002-5264-3775

Affiliations:
  • University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, WI, USA


According to our database1, Xiaopeng Li authored at least 58 papers between 2009 and 2026.

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Timeline

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Bibliography

2026
Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement.
CoRR, May, 2026

High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles.
CoRR, March, 2026

Robustness and Resilience Evaluation of Eco-Driving Strategies at Signalized Intersections.
CoRR, January, 2026

Urban Vehicle Trajectory Dataset Based on Drone Videos.
IEEE Intell. Transp. Syst. Mag., 2026

Empirical Evaluation of Connected and Automated Driving Features in Production Vehicles.
IEEE Intell. Transp. Syst. Mag., 2026

A time-efficient lane-changing strategy for connected and autonomous vehicle platoons in mixed traffic.
Expert Syst. Appl., 2026

REACT: Runtime-Enabled active collision-avoidance technique for autonomous driving.
Adv. Eng. Informatics, 2026

2025
CATS-V2V: A Real-World Vehicle-to-Vehicle Cooperative Perception Dataset with Complex Adverse Traffic Scenarios.
CoRR, November, 2025

Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior.
CoRR, November, 2025

SMART: Scalable Multi-Agent Reasoning and Trajectory Planning in Dense Environments.
CoRR, September, 2025

Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method.
CoRR, June, 2025

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen.
CoRR, May, 2025

REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving.
CoRR, May, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR, May, 2025

RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios.
CoRR, April, 2025

Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective.
CoRR, March, 2025

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving.
Trans. Mach. Learn. Res., 2025

Coverage Trajectory Planning Problem on 3D Terrains with safety constraints for automated lawn mower: Exact and heuristic approaches.
Robotics Auton. Syst., 2025

Optimized Cooperative Car-Following Through Lightweight Vehicle-to-Vehicle Intent Sharing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Real-World Automated Vehicle Longitudinal Stability Analysis: Controller Design and Field Test.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

V2X-DGW: Domain Generalization for Multi-Agent Perception Under Adverse Weather Conditions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Decentralized Multi-Vehicle Motion Planning for Platoon Forming in Mixed Traffic Using Monte Carlo Tree Search.
IEEE Trans. Intell. Transp. Syst., December, 2024

A General Hierarchical Control System to Model ACC Systems: An Empirical Study.
IEEE Trans. Intell. Transp. Syst., January, 2024

Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning.
CoRR, 2024

An Advanced Microscopic Energy Consumption Model for Automated Vehicle:Development, Calibration, Verification.
CoRR, 2024

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.
CoRR, 2024

ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle.
CoRR, 2024

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions.
CoRR, 2024

A Review on Trajectory Datasets on Advanced Driver Assistance System Equipped-vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

V2X-DSI: A Density-Sensitive Infrastructure LiDAR Benchmark for Economic Vehicle-to-Everything Cooperative Perception.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Testing Cellular Vehicle-to-Everything Communication Performance and Feasibility in Automated Vehicles <sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Deception for Advantage in Connected and Automated Vehicle Decision-Making Games<sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Koopman-Based Data-Driven Techniques for Adaptive Cruise Control System Identification.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023
Automated Vehicle Identification Based on Car-Following Data With Machine Learning.
IEEE Trans. Intell. Transp. Syst., December, 2023

Physics-Aware Learning-Based Vehicle Trajectory Prediction of Congested Traffic in a Connected Vehicle Environment.
IEEE Trans. Veh. Technol., 2023

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks.
CoRR, 2023

Trajectory-Based Performance Ranking System of Low-Level Automated Vehicles.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
A Continuous Model for Designing Corridor Systems with Modular Autonomous Vehicles Enabling Station-wise Docking.
Transp. Sci., 2022

An Innovative Huffman Forest-Based Method to Detected Railroad Station Anomalies.
Sensors, 2022

Joint location and assignment optimization of multi-type fire vehicles.
Comput. Aided Civ. Infrastructure Eng., 2022

Simulation of mixed traffic with cooperative lane changes.
Comput. Aided Civ. Infrastructure Eng., 2022

Empirical study of feedback delay in stability analysis for production vehicles with different powertrains.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

A deep learning lane-changing decision framework with wide spatiotemporal conditions for connected and automated vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
A dynamic cooperative lane-changing model for connected and autonomous vehicles with possible accelerations of a preceding vehicle.
Expert Syst. Appl., 2021

Drone routing and optimization for post-disaster inspection.
Comput. Ind. Eng., 2021

A simulation-based optimization model for infrastructure planning for electric autonomous vehicle sharing.
Comput. Aided Civ. Infrastructure Eng., 2021

Modeling and field experiments on autonomous vehicle lane changing with surrounding human-driven vehicles.
Comput. Aided Civ. Infrastructure Eng., 2021

Automated Vehicle Identification in Mixed Traffic.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2019
Operational Design for a Real-Time Flexible Transit System Considering Passenger Demand and Willingness to Pay.
IEEE Access, 2019

Real-World Trajectory Extraction from Aerial Videos - A Comprehensive and Effective Solution.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Speed Planning for an Autonomous Vehicle with Conflict Moving Objects.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2017
An agent-based simulation model for distributed vehicle sharing operations.
Proceedings of the 2017 Winter Simulation Conference, 2017

2016
Freeway Speed Harmonization.
IEEE Trans. Intell. Veh., 2016

2011
A Heuristic Approach to the Railroad Track Maintenance Scheduling Problem.
Comput. Aided Civ. Infrastructure Eng., 2011

2010
The bullwhip effect in supply chain networks.
Eur. J. Oper. Res., 2010

2009
Optimal Locations of Railroad Wayside Defect Detection Installations.
Comput. Aided Civ. Infrastructure Eng., 2009


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