activity
20182024
most citedTesting Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

256 citations · 696 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data

Jiachen Ye, Dingyu Wang, Shaocheng Jia +4

Real-time estimation of vehicle locations and speeds is crucial for developing many beneficial transportation applications in traffic management and control, e.g., adaptive signal…

eess.SY2022★ 13 cited

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…

eess.SY2022

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…

eess.SY2021★ 3 cited

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…

eess.SY2021★ 5 cited

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…

eess.SY2020★ 110 cited

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…

eess.SY2019★ 167 cited

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…

cs.RO2019★ 129 cited

Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

Shuo Feng, Yiheng Feng, Haowei Sun +3

Testing scenario library generation (TSLG) is a critical step for the development and deployment of connected and automated vehicles (CAVs). In Part I of this study, a general meth…

eess.SY2019★ 256 cited

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…

cs.RO2019★ 6 cited

A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles

Yadong Xing, Can Zhao, ZhiHeng Li +7

Non-signalized intersection is a typical and common scenario for connected and automated vehicles (CAVs). How to balance safety and efficiency remains difficult for researchers. To…

eess.SY2018★ 7 cited

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…