ASU ITE Workshop: INTERSECTION SAFETY & TECHNOLOGY: OPPORTUNITIES, TRAINING, AND EDUCATING THE FUTURE November 9th, 2023 | 12:00PM - 2:30PM | CAVC 301, Tempe Campus
It is a great honor inviting Dr. Taylor Li present his LiDAR sensing technology to improve traffic safety.
Title: Using LiDAR sensing technology to improve traffic safety of all road users at intersections, by Pengfei (Taylor) Li, Ph.D., P.E., an assistant professor of Transportation Engineering at the University of Texas at Arlington.
The Light Detection and Ranging or LiDAR technology was originally invented to detect objects in dynamic and challenging scenarios such as automated vehicles’ navigation. While the LiDAR industry primarily focuses on the automobile market, The LiDAR technology also shows great potential in reshaping the actuated traffic signal systems as well as leveraging traffic safety and mobility for all road users at intersections. Nonetheless, the LiDAR sensing technology is generic and does not automatically serve for traffic signal operations unless additional application software packages are built.
In the seminar, Taylor will bring a simple LiDAR system that we prototyped to demonstrate how the LiDAR technology works at first. Then Taylor will present several LiDAR-based traffic signal applications that our research group has prototyped and tested in the field over years, including data collection of crossing pedestrian observing and jay-walking behaviors and responses to traffic signals; dynamic extending yellow and all-red to prevent imminent crashes among vehicles and vulnerable road users (VRUs); behavior-based alerts to drivers and VRUs via supplemental light (at night), RFB, PHB, etc.; using the LiDAR to connect VRUs to vehicles within the CV infrastructure; using LiDAR for SDLC-based vehicle detection. Last, but not least, several practical concerns from the agencies’ perspective will be discussed including, technology maturity, scalable affordability, learning curve, and hardware robustness.
Additionally, selected students from our transportation simulation class shared insights on their recent project involving the signalized roundabout in Sedona, as well as their contributions to the development of a signal data hub for urban areas.