This project aims to develop a Trip Tracker App to record a high-frequency trajectory along a path between an origin and a destination. This App will be used in an undergraduate course in transportation engineering for both students and the professor. By selecting a trip from an origin and destination on a map, students can choose a path to follow at a departure time from the origin, and specify the destination activity or trip purpose, how they go there or use which mode (e.g., car, bike, walk, or bus). The App will record detailed trajectory (i.e., timestamp, x,y,z, speed, etc.) at a high-frequency time interval such as 0.1 or 0.2 seconds. The App also needs to record information on their identification (e.g., student name and MTU email address) and trip information (e.g., origin, destination, departure date/time, purpose, mode). Students will upload the trajectory information to a server. The professor can log in to the server to view all the trip tracking data by specifying a range using criteria such as date/time, student’s email, origin, destination, and download those data to a CSV file for more advanced data analytics or travel behavior.