256 citations · 524 across the 14 of their papers we have counts for
10 papers · 1 filter
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 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 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…