Huadong (Joshua) Meng

ASSISTANT RESEARCH ENGINEER

1357 S. 46th Street, Building 452
RichmondCA 94804
United States
Phone: 
510-665-3667
Email Address: 

Biography

Dr. Huadong (Joshua) Meng is an Assistant Research Engineer with the California PATH program at the University of California, Berkeley. He received his B.S. in Engineering and Ph.D. in Electronic Engineering from Tsinghua University, Beijing, China, in 1999 and 2004, respectively. In 2004, he joined the faculty of Tsinghua University, where he was an Associate Professor in the Department of Electronic Engineering until 2015. Additionally, Dr. Meng was a Technical Program Committee (TPC) member of the IET International Radar Conference in 2013 and 2015.

In 2015, he joined PATH as a visiting Associate Researcher, where he worked on the research project, “Bus Rapid Transit (BRT) Toolbox: Assessing Person Throughput to Measure Transportation Impacts for BRT Projects. This work expanded his interest in the areas of conducting system design and performing implementation in the areas of traveler information systems, advanced traffic control systems, sensor data fusion schemes, and Eco driving. His other research focuses on statistical signal processing, intelligent transportation systems, wireless localization, remote sensing, localization, and target tracking.

Recently, he was the PI of a Caltrans sponsored project, “Development and Implementation of Integrated Dynamic Transit Operations System, Phase II”, where he continued his prior research by testing a fully functional Integrated Dynamic Transit Operation (IDTO) system that delivers improvements to suburban transit services. The IDTO algorithms and user apps were developed to allow holding at bus stops to meet with connecting passengers. IDTO applications show fantastic potential to greatly improve transit service by offering reduced travel time and improved connectivity – both important aspects of a unified, forward-looking vision for California’s future transportation system.

Prior to that, he was the lead on the DOE-LBL Connected Automated vehicles research project. The objective of this project was to develop and demonstrate a V2I communication system that provides information to drivers as they approach a signalized intersection. This facilitates smoother arrivals and departures through the intersection, which in turn reduces energy consumption and emissions production.