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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Bicycle Crash Detection: Using a Voice-Assistant for More Accurate Reporting

Williams, Brian 06 September 2018 (has links)
It is estimated that over half of bicycle crashes are not reported. There are various reasons for this, such as no property damage or physical injuries sustained. In order to improve the likelihood that bicycle riders will report a crash, I have developed Urban Bike Buddy, a smartphone application which uses the internal sensors of the device to detect a crash. The application interacts with Alexa to help guide the user through the crash reporting process. The innovative features of my work are the ability to initiate communication with Alexa without user interaction. In addition, there is an intersection controller that has been connected to extra hardware that allows bicycle riders to request a crossing signal during their approach based on the speed that they are riding. These features add value to bicycle riders, and will help contribute to a safer environment for bicycle riders, automobiles, and pedestrians as well.

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