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.
| Identifer | oai:union.ndltd.org:uoregon.edu/oai:scholarsbank.uoregon.edu:1794/23760 |
| Date | 06 September 2018 |
| Creators | Williams, Brian |
| Contributors | Fickas, Stephen |
| Publisher | University of Oregon |
| Source Sets | University of Oregon |
| Language | en_US |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Rights | All Rights Reserved. |
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