A Tech Story

AI Drives Driver Safety

Moove.ai partners with car manufacturers to include connected vehicle data into nav systems to improve driver safety. Moove aggregates and curates vehicle and transportation data to provide predictable, time-based road segment analysis (road sections between intersections) and applies machine learning to real-time data for maximum performance and accuracy.

Moove.ai

Problem, Approach, Results.

Nothing more, nothing less. Take a quick view of how we identify components of a problem, settle on an approach and drive results.

The Problem

Moove’s original set of user interfaces were built for very technical users, primarily data analysts, in mind. As demand increases it became necessary to create a UI to accommodate a wide range of user types, and launch a new product, Galileo. In addition the processes around data management (uploading, curating and productizing) was manual - and therefore labor intensive and error prone.

Our Approach

Our approach was to make the user experience and data processing aspects of the platform seamless for the user. By using React and GraphQL on the front end and Big Query and Moove.ai’s Kubernetes-based infrastructure hosted on the Google Cloud Platform, we were able to:Build visual presentations of the Galileo-produced data and artifacts including table-structured data, graphs, maps and an interactive Kepler integration. We built everything to fit into Moove.ai’s Kubernetes-based infrastructure hosted on the Google Cloud Platform.Added Single Sign On (SSO) so users can move seamlessly between Moove.ai applications including the Galileo front end system, RoadIQ, JupyterHub and Google Cloud. Added data processing and a data analysis UI into the unified interface so users can interact with datasets through various tools and views (tabular data, heat maps, graphs and charts, Kepler integration, etc.)

The Results

Galileo is having a positive impact on people and our environment. Moove.ai helps navigation systems route users around roads and/or road segments that might have safety issues given certain conditions (i.e. weather conditions, time of day [i.e. sun glare in the morning], heavy traffic, etc.). Moove’s data can also be used to create routes that are more efficient in terms of time and distance, or routes that require less starting and stopping, thus lessening emissions and impact on the environment. The wide array of new users are able to: Sign in one time; See everything in BigQuery tables; Select the data and just push a button to process it; Show display of the status of the processing, and links to each piece involved; Use the road segment analysis tool/view gives users insight into road segment data and visuals such as elevation profiles, terrain previews and street views.

Ask Lineate's best and brightest.

Would you like to hear more from our Solutions Architect team about how we solved these technical challenges for this customer ?

Want some technical guidance from our SA's on a related problem?

Fill out the form and we will cut to the chase - either get an email response or book a 10-minute call to discuss the specifics of the problem you're facing.

And P.S. - This isn't a sales call in disguise - just an offer to pick our brains.