This is my Fall 2018 final graduate term project for Civil Engineering 5633 - Sustainable Transportation Systems at the University of Colorado Denver. This app contains an internal database of over 18,000 intersections and nearly 45,000 traffic crashes in the City of Denver since 2017 (source: City of Denver Open Data). When this app is running, it will alert you to intersections near which crashes have occurred that meet your filter criteria. For example, you can choose to count all crashes, or only those involving bicycles and pedestrians; any severity, serious injury, or fatal crashes only; and minimum number of crashes at the intersection.
The app will play sounds and speak the intersection name and crash stats to you, and ask if you want to rate the intersection. The speech recognition feature will allow you to say, "crash!" to segue to the rating form, and then the app will ask you several rating questions about the intersection, which you can answer by voice. Thus, you may use this app hands-free while driving to rate dangerous intersections that you encounter. Permission to use your microphone and your phones speech recognition technology is required to use these features.
Privacy: This app is part of a Civil Engineering graduate course research project in "tactical urbanism," in a course on sustainable transportation systems, and any data we collect is intended for academic/educational purposes only. Any audio picked up by the app will not be stored anywhere and will not leave your device. Further, we will only log your location and velocity (speed) data at visited intersections. Thus, for our class project, we can determine how people behave (whether they slow down) when approaching a dangerous intersection. We will also only log any personal information you choose to provide in the user options.
For more information, please contact me at [email protected].