256 citations · 524 across the 14 of their papers we have counts for
14 papers
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems
Ni Dong, Shuming Chen, Yina Wu +2
Navigating automated driving systems (ADSs) through complex driving environments is difficult. Predicting the driving behavior of surrounding human-driven vehicles (HDVs) is a crit…
Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories
Hanlin Chen, Renyuan Luo, Yiheng Feng
Prevalent solutions for Connected and Autonomous vehicle (CAV) mapping include high definition map (HD map) or real-time Simultaneous Localization and Mapping (SLAM). Both methods…
IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction
Yilin Wang, Yiheng Feng
Model-based and learning-based methods are two major types of methodologies to model car following behaviors. Model-based methods describe the car-following behaviors with explicit…
A Cooperative Perception Environment for Traffic Operations and Control
Hanlin Chen, Brian Liu, Xumiao Zhang +3
Existing data collection methods for traffic operations and control usually rely on infrastructure-based loop detectors or probe vehicle trajectories. Connected and automated vehic…
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…
Experimental Validation of Eco-Driving and Eco-Heating Strategies for Connected and Automated HEVs
Mohammad Reza Amini, Qiuhao Hu, Hao Wang +3
This paper presents experimental results that validate eco-driving and eco-heating strategies developed for connected and automated vehicles (CAVs). By exploiting vehicle-to-infras…
Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control
Shihong Ed Huang, Wai Wong, Yiheng Feng +3
Connected vehicle (CV) technology enables data exchange between vehicles and transportation infrastructure and therefore has great potentials to improve current traffic signal cont…
Engine and Aftertreatment Co-Optimization of Connected HEVs via Multi-Range Vehicle Speed Planning and Prediction
Qiuhao Hu, Mohammad Reza Amini, Yiheng Feng +7
Connected vehicles (CVs) have situational awareness that can be exploited for control and optimization of the powertrain system. While extensive studies have been carried out for e…
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…
Thermal Responses of Connected HEVs Engine and Aftertreatment Systems to Eco-Driving
Mohammad Reza Amini, Yiheng Feng, Hao Wang +2
Connected and automated vehicles (CAVs) have been recognized as providing unprecedented opportunities for substantial fuel economy improvement through CAV-based vehicle speed traje…
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…
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…
Sequential Optimization of Speed, Thermal Load, and Power Split in Connected HEVs
Mohammad Reza Amini, Xun Gong, Yiheng Feng +3
The emergence of connected and automated vehicles (CAVs) provides an unprecedented opportunity to capitalize on these technologies well beyond their original designed intents. Whil…
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles
Xun Gong, Yaohui Guo, Yiheng Feng +2
The energy efficiency of Connected and Automated Vehicles (CAVs) is significantly influenced by surrounding road users. This paper presents the evaluation of energy efficiency of C…