Future Transportation Webinar | Advanced Topics in Intelligent Transportation
the chair
Currently, technology and climate change are driving a revolution in the way people and goods are moving. I am happy to introduce this second session of presentations devoted to intelligent transportation. This is the second in a series of online seminars devoted to some of the most important topics related to MDPI’s Future Transportation journal.
Future Transportation is an international, peer-reviewed, open access journal on the civil engineering, economics, environment and geography, computer science, and other transdisciplinary dimensions of transportation published quarterly online by MDPI.
This session presents two very interesting topics in intelligent transportation. The presentations cover autonomous public transit and inferencing human mobility. The speakers are leading American researchers. Given the high-quality research, the topics, and the caliber of the presenters, I expect an exciting session.
Date: 28 May, 2025
Time: 8:00 PM CEST | 1:00 PM CST
Webinar ID: 894 9279 2199
Webinar Secretariat: journal.webinar@mdpi.com
Meet Our Speakers
University of Illinois at Chicago;
Jane Lin is a professor in the civil, materials, and environmental engineering department and holds a joint appointment with the Institute for Environmental Science and Policy.
Her research involves three areas of focus, namely transportation emissions and air- quality modeling and exposure, green freight transportation and urban logistics, and computational transportation science.
Industrial and Systems Engineering , University of North Carolina, Charlotte, North Carolina;
Lei Zhu is currently an Assistant Professor at the University of North Carolina at Charlotte. Before joining UNC at Charlotte, he served as an Advanced Transportation Researcher at the National Renewable Energy Laboratory (NREL), CO. He has worked at the University of Nevada, Reno (UNR), as a postdoctoral fellow. His research interests include smart and sustainable mobility systems and spatial sensing technologies.
The combination of modularity with autonomous vehicles for public transportation is a cutting edge topic in which Prof. Lin presented pioneering research. Similarly, the inference of human mobility is a critical subject for transportation planning, and the approach introduced by Prof. Zhu is thought provoking. I want to thank Professors Lin and Zhu for their inspiring presentations, and the subsequent stimulating discussion.
The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.