Our Mission

The mission of the Road-Based Sensibility Index for Autonomous Fleet Infrastructure Monitoring project is to create a simulator that allows us to experimentally simulate different vehicle fleets driving within a city and sensing various aspects of a city's health. These aspects or "points of interest" could be things such as the air quality index at different points in the city throughout the day, pothole monitoring, mapping of various locations, or in our case the health of the city's electrical grid.

We are proud to be at the forefront of innovation in the field of autonomous fleet infrastructure monitoring. Since our inception, our team has accomplished some truly remarkable things. 

One of our biggest achievements has been the development of a sophisticated simulator which allows us to experimentally collect and analyze data from real-world GTFS data on roads and infrastructure in real-time.  This has allowed us to determine a "sensibility index" for any given city, limited only by the GTFS data available to us.

We have made significant progress in developing a new algorithm that allows us to predict the health of the city's electrical grid by means of their electrical poles. This has the potential to revolutionize the way that autonomous vehicles are used in the future. As they are navigating around roads and infrastructure, rather than sending someone out to manually inspect each road, why not  have them actively sense various aspects of their city's health?  This data can automatically be sent to a central server where emergency vehicles or city workers can be dispatched without someone even needing to call it in. This project aims to experimentally simulate this with various fleets/fleet sizes in order to determine what would be the most efficient and economical  parameters for doing this.

Overall, we are incredibly proud of the work that we have accomplished, and we are excited to continue researching where this information can lead us to in the future.