256 citations · 729 across the 17 of their papers we have counts for
12 papers · 1 filter
Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates
Jingxuan Yang, Haowei Sun, Honglin He +3
Safety performance evaluation is critical for developing and deploying connected and automated vehicles (CAVs). One prevailing way is to design testing scenarios using prior knowle…
Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios
Jingxuan Yang, Honglin He, Yi Zhang +2
Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs). Due to the black-box property and various types of CAVs, how…
Optimal Cooperative Driving at Signal-Free Intersections with Polynomial-Time Complexity
Huaxin Pei, Yuxiao Zhang, Yi Zhang +1
Cooperative driving at signal-free intersections, which aims to improve driving safety and efficiency for connected and automated vehicles, has attracted increasing interest in rec…
Distributed Cooperative Driving in Multi-Intersection Road Networks
Huaxin Pei, Yi Zhang, Qinghua Tao +2
Cooperative driving at isolated intersections attracted great interest and had been well discussed in recent years. However, cooperative driving in multi-intersection road networks…
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
Lin Liu, Shuo Feng, Yiheng Feng +2
In the simulation-based testing and evaluation of autonomous vehicles (AVs), how background vehicles (BVs) drive directly influences the AV's driving behavior and further impacts t…
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing
Xintao Yan, Shuo Feng, Haowei Sun +1
Microscopic traffic simulation provides a controllable, repeatable, and efficient testing environment for autonomous vehicles (AVs). To evaluate AVs' safety performance unbiasedly,…
A Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation
Mohammad R. Hajidavalloo, Zhaojian Li, Dong Chen +3
In this paper, we develop a mechanical system inspired microscopic traffic model to characterize the longitudinal interaction dynamics among a chain of vehicles. In particular, we…
Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework
Shuo Feng, Yiheng Feng, Haowei Sun +2
How to generate testing scenario libraries for connected and automated vehicles (CAVs) is a major challenge faced by the industry. In previous studies, to evaluate maneuver challen…
Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control
Shuo Feng, Ziyou Song, Zhaojian Li +2
The design of cooperative adaptive cruise control is critical in mixed traffic flow, where connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist. Compare…
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology
Shuo Feng, Yiheng Feng, Chunhui Yu +2
Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs), and yet there is no systematic framework to generate testing…
Longitudinal Safety Analysis For Heterogeneous Platoon Of Automated And Human Vehicles
Zi Yang, Xinpeng Wang, Xin Pei +4
With the recent advancement in environmental sensing, vehicle control and vehicle-infrastructure cooperation technologies, more and more autonomous driving companies start to put t…
A Grouping Based Cooperative Driving Strategy for CAVs Merging Problems
Huile Xu, Shuo Feng, Yi Zhang +1
In general, there are two kinds of cooperative driving strategies, planning based strategy and ad hoc negotiation based strategy, for connected and automated vehicles (CAVs) mergin…