165 Thompson Library

9:30-10 a.m. Breakfast Reception
10 a.m. – 12:30 p.m. Research Presentations

Space is limited. Please RSVP by Thursday, March 2.

“A Data-Centric Approach to Driving Behavior Research”

Dr. Kazuya Takeda
Professor, Graduate School of Information Science and Green Mobility Collaborative Research Center
Nagoya University, Japan

Abstract: Thanks to advanced “internet of things” (IoT) technologies, situation-specific human behavior has become an area of development for practical applications involving signal processing. One important area of development of such practical applications is driving behavior research. Since 1999, Dr. Takeda has been collecting driving behavior data in a wide range of signal modalities, including speech/sound, video, physical/physiological sensors, CAN bus, LIDAR and GNSS. The objective of this data collection is to evaluate how well signal models can represent human behavior while driving. In this talk, Dr. Takeda will summarize our 10 years of study of driving behavior signal processing, which has been based on these signal corpora. In particular, statistical signal models of interactions between traffic contexts and driving behavior, i.e., stochastic driver modeling, will be discussed, in the context of risky lane change detection. Dr. Takeda will discuss the scalability of such corpus-based approaches, which could be applied to almost any traffic situation.

“Remotely Sensed Imagery for Traffic Data Acquisition and Disaster Responses”

Dr. Rongjun Qin
Assistant Professor, Department of Civil, Environmental and Geodetic Engineering and Department of Electrical and Computer Engineering; TDA Affiliate
The Ohio State University

Abstract: Overhead imagery (such as drone images, satellite images) captured by sensors from the sky and space provides a vast amount of information of the ground. While originally intended for geographical mapping and continental scale geological and environmental studies, the growing resolution and accessibility of such data have enabled a much wider scope of applications that allow us to look at objects at sub-meter levels. Nowadays it is much easier to collect and generate various types of information that traditionally requires large manual effort.   Dr. Qin will briefly discuss the capability of such overhead imagery and showcase two examples: 1) Using drone imagery to get accurate location and speed for multiple cars. 2) Using satellite stereo imageries to build 3D time sequence data over Haiti area to monitor the dynamics of the built layout before and after the earthquakes.

 

“Modeling the Impact of Tropical Storms on Electrical Power Systems”

Dr. Steven Quiring
Professor, Department of Geography; TDA Affiliate
The Ohio State University

Abstract: Tropical storms (e.g., typhoons or hurricanes) can cause significant damage to the electrical power system, leading to prolonged power interruptions to a large number of customers. The estimated annual cost to the U.S. economy from storm-related power outages is > $20 billion. The majority of these outages are attributed to weather and the number of weather-related outages has increased significantly in recent years. One approach to deal with this problem is to develop predictive techniques for assessing how weather events will impact the power grid, which will help utilities, customer and first responders, and city/state planners to better prepare for the outages. This presentation summarizes the data-driven power outage models that we have developed for the U.S. Department of Energy and a number of investor-owned electrical utilities in the United States. These models are used to support decision making for near-term events (e.g., pre-storm preparation) and longer-term planning. The development and validation of our models will be presented and our approach for quantifying uncertainty will also be discussed. The talk will also highlight the challenges and opportunities for high-resolution modeling of the impact of typhoons on power systems in the Western Pacific.