Descartes Systems Group has patented a method for scoring candidate routes using predictive models trained on trip log data and sensor values from external sources. The computer-implemented method involves generating feature values, computing scores, ranking routes, and providing representations based on the scores. GlobalData’s report on Descartes Systems Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Descartes Systems Group, V2I communication was a key innovation area identified from patents. Descartes Systems Group's grant share as of May 2024 was 20%. Grant share is based on the ratio of number of grants to total number of patents.

Route scoring method using machine learning for vehicle navigation

Source: United States Patent and Trademark Office (USPTO). Credit: Descartes Systems Group Inc

A recently granted patent (Publication Number: US12002001B2) outlines a computer-implemented method for determining optimal routes for vehicles. The method involves generating candidate routes based on a predetermined set of waypoints and their order, assigning independent feature values to each route, computing scores using a machine learning model trained on past trip data, ranking the routes based on these scores, and providing a representation of the best route for the vehicle to follow. The scoring process includes calculating waypoint-specific scores representing the benefit of reaching each waypoint and combining these scores to evaluate the overall route.

Furthermore, the system described in the patent utilizes sensor data from remote devices to generate independent feature values for each candidate route, which can include various types of information such as vehicle data, weather data, and geopolitical data. The method aims to optimize route planning by considering task completion likelihood at each waypoint, predicting travel durations and distances between waypoints, and ultimately providing drivers with the most efficient route based on the ranking of candidate routes. This innovative approach to route optimization could potentially enhance navigation systems and improve overall efficiency in vehicle operations.

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