Preventing Pedestrian-Involved Automobile Accidents Using Inexpensive Portable Warning Systems (PWS) Leveraging Technology Advancements in Sensors and Machine Learning Software

Public project summary

Automobile accidents are an ongoing epidemic in the United States. Pedestrian death rates and total automobile-related death rates have increased in recent years. Autonomous cars are the most anticipated solution to this problem; however, it will take a long time until all vehicles on the street are autonomous. I propose a secondary solution: to build a portable warning system (PWS) for pedestrians to reduce car crashes. My research project is to test whether it is feasible to build such a device using today's latest technology.