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Using Artificial Intelligence to Improve Traffic Flows, with Consideration of Data Privacy Principles

Sheila Hayati, Dr. Gwen Shaffer, Department of Journalism and Public Relations, California State University - Long Beach, 1250 Bellflower Blvd, Long Beach, CA 90840

To decrease traffic delays in intersections near the Port of Long Beach, researchers at CSULB plan to develop and install “smart” traffic light controllers. This technology incorporates cameras and sensor that collect personal data, potentially violating personal privacy. To gauge local residents’ comfort level with and attitudes toward smart technology, we plan to facilitate about 10 data walks. Each 60-minute walk will take about five study participants along a route that encompasses both industrial and residential areas. The researchers will assign each participant to a role: note taker, photographer map maker, etc. We will interview study participants before and after the walk to observe and compare their reactions to data-collecting technologies. Following completion of the data walk and discussions, we predict the participants will be more aware of the amount of data collected by cameras and sensor deployed throughout Long Beach and, potentially, pay more attention to how their personal information is collected, stored and shared. The participants’ concerns and recommendations will inform a proposed data privacy policy the City of Long Beach can implement. 




Additional Abstract Information

Presenter: Sheila Hayati

Institution: California State University - Long Beach

Type: Poster

Subject: Interdisciplinary Studies

Status: Approved


Time and Location

Session: Poster 8
Date/Time: Tue 5:00pm-6:00pm
Session Number: 5500