My research mainly focuses on Connected and Automated Vehicles (CAVs), which can save fuel, reduce traffic collisions, ease congestion, and provide better mobility service to the elderly, physically challenged and visually challenged populations, and therefore, dramatically reshape the future of ground transportation and the society. Featured research can be found here.
We developed a series of stochastic models to emulate microscopic driving environment models. We also invented the Accelerated Evaluation method that was found to reduce the test duration by 2-5 orders of magnitude compared to the naturalistic driving tests.
By integrating traffic prediction, powertrain control, thermal management, and real-time optimization techniques with the emerging CAV technologies, we are aiming to achieve 20 % improvement of the driving energy efficiency.
We are using connected vehicle technologies to achieve an accurate low-cost GNSS network. We also studied the DSRC communication performance in the real world based on the Safety Pilot Model Deployment data, which is the world largest connected vehicle database.
It is estimated that CAVs will gradually increase its penetration over the next few decades. Over this transition, CAVs will mix with human-controlled vehicles, cyclists and pedestrians. We are developing human models and used them in designing and evaluating CAVs.
My current projects are listed below.
| Funding Agency | Dates | Role | Project title | Budget |
|---|---|---|---|---|
| CATARC | 2018/2/1-2019/6/30 | PI | Analysis of Typical Driving Scenarios for Connected and Automated Vehicles and Their Applications to Testing Protocols Based on the Naturalistic Driving Data in China | $15,824 |
| Toyota Research Institute | 2018/1/1-2019/12/31 | PI | Extracting Traffic Primitives from Millions of Naturalistic Driving Encounters -- A Synthesized Method based on Nonparametric Bayesian and Deep Unsupervised Learning | $254,593 |
| Denso | 2017/10/1-2019/9/30 | PI | A unified, auto-checking, and self-analyzing data platform for intelligent driving applications | $198,445 |
| DoE | 2017/3/1-2020/2/28 | Project Manager | Integrated power and thermal management for connected and automated vehicles through real-time adaptation and optimization | $1,600,000 |
| SFMotor | 2017/1/1-2017/12/31 | PI | Platform Construction and Basic Function Developments for Autonomous Vehicle | $150,000 |
| Mcity | 2016/5/1-2018/4/30 | PI | Development of Evaluation Approaches and the Certificate System for Automated Vehicles Based on the Accelerated Evaluation | $200,000 |
| Toyota Research Institute | 2017/2/1-2019/1/31 | Co-PI | Development of a “Primary Other Test Vehicle” for the Testing and Evaluation of High-Level Automated Vehicles | $723,748 |
| SAIC | 2017/6/1-2017/12/31 | Co-PI | Methodology on Connected and Automated Vehicles Testing and Evaluation based on Accelerated Evaluation Theory | $118,316 |
| Mcity | 2016/5/1-2017/12/31 | Co-PI | Towards centimeter-‐accurate localization using low cost GPS: algorithms for data fusing within V2X networks | $200,000 |
| Ford | 2016/5/1-2018/9/30 | Senior Member | Accelerated Evaluation of Active Safety System | $200,000 |
| Denso | 2015/9/1-2017/8/30 | PI | Development of a Simulation Tool for AV Testing and Evaluation | $170,000 |
| $3,560,509 | ||||