Patent ID: 11932271
Assignee: FORD GLOBAL TECHNOLOGIES, LLC
Field: Transport (Mechanical engineering)
Classification: CPC B | IPC B

Claim 0:
1. A system for predicting an optimal use level of a driver assist system, the system comprising:
a transceiver configured to receive historical data for each road segment of a plurality of road segments and real-time data for a target road segment;
a memory that stores computer-executable instructions; and
a processor configured to access the memory and execute the computer-executable instructions to:
train, using machine learning techniques, an optimization prediction model based on the historical data for each road segment of the plurality of road segments, wherein the historical data comprises historical road condition data including roadway type data and geometric roadway data, and historical driver behavior data associated with a user of the driver assist system the historical behavior data including data corresponding to tendencies of the user to switch lanes abruptly, and tendencies of the user to drive slow in rain conditions, slippery road conditions, and along sharp curves;
predict the optimal use level of the driver assist system for the target road segment based on the real-time data via the optimization prediction model;
transmit an alert to the driver assist system if the optimal use level falls outside a predetermined threshold, thereby deactivating a cruise control functionality of the driver assist system; and
reactivate the cruise control functionality responsive to the optimal use level falling back inside the predetermined threshold,
wherein the optimization prediction model includes a probability that a driver of a vehicle comprising the driver assist system will turn off the driver assist system and manually control the vehicle, wherein the probability is based on real-time driver behavior as well as past driver behavior, wherein the past driver behavior includes acceleration and deceleration patterns of the driver and frequency of distraction by the driver in each of a number of road conditions, and wherein the frequency of distraction comprises a number of times the driver violated lanes based on a lane keeping system record.