Adam Greenstein

Presentation at the 2022 WDCSITE Annual Meeting highlighting STEM outreach successes, challenges, and lessons learned. Also included an interactive workshop with attendees to simulate a STEM activity with school students, with the goal of getting feedback on how to improve activities and increase value for students, families, and staff.

During my time as a Graduate Research Assistant at Penn State University, our research team worked with vehicle kinematic data to analyze how drivers reacted to alerts provided by electronic in-vehicle safety devices. These devices warn drivers when they are at risk for departing from the roadway by either lateral drift from the center of a travel lane or excessive speed through a horizontal roadway curve. The kinematic data was used to determine vehicle movement prior to… Show more

During my time as a Graduate Research Assistant at Penn State University, our research team worked with vehicle kinematic data to analyze how drivers reacted to alerts provided by electronic in-vehicle safety devices. These devices warn drivers when they are at risk for departing from the roadway by either lateral drift from the center of a travel lane or excessive speed through a horizontal roadway curve. The kinematic data was used to determine vehicle movement prior to incidents.

This paper has been cited at least 5 times, according to Google Scholar:

Yamazaki, Suguru, et al. "Integrating driving behavior and traffic context through signal symbolization." Intelligent Vehicles Symposium (IV), 2016 IEEE. IEEE, 2016.

Satzoda, Ravi Kumar, and Mohan Manubhai Trivedi. "Drive analysis using vehicle dynamics and vision-based lane semantics." IEEE Transactions on Intelligent Transportation Systems 16.1 (2015): 9-18.

Satzoda, Ravi Kumar, Pujitha Gunaratne, and Mohan M. Trivedi. "Drive analysis using lane semantics for data reduction in naturalistic driving studies." 2014 IEEE Intelligent Vehicles Symposium Proceedings. IEEE, 2014.

Satzoda, R. K., et al. "Towards automated drive analysis: A multimodal synergistic approach." 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). IEEE, 2013.

Wu, Kun-Feng, and Paul Jovanis. "Screening naturalistic driving study data for safety-critical events." Transportation Research Record: Journal of the Transportation Research Board 2386 (2013): 137-146.



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I analyzed how drivers changed their behavior over a four-week period with the presence of a lateral drift warning (LDW) system installed in a test vehicle. This system alerted drivers through visual, audible, and tactile warnings when the vehicle departed from the center line of the travel lane by an established threshold. Behavior was measured by the frequency of alerts triggered over time. All drivers were compared as a single group. Drivers were also divided into groups by the following… Show more

I analyzed how drivers changed their behavior over a four-week period with the presence of a lateral drift warning (LDW) system installed in a test vehicle. This system alerted drivers through visual, audible, and tactile warnings when the vehicle departed from the center line of the travel lane by an established threshold. Behavior was measured by the frequency of alerts triggered over time. All drivers were compared as a single group. Drivers were also divided into groups by the following categories: sex, years of driving experience, personal habits (including smoking), and various predispositions (including locus of control, sensation-seeking desires, and risk perception).

This document was prepared as a Thesis in order to fulfill the requirements of the Master of Science degree in Civil Engineering from Penn State University in 2009.

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