Method and System for Dynamically Navigating Routes According to Safety-Related Risk Profiles

A navigation system for personalized routing, comprising:

• one or more processors configured to:
• receive a navigation request from a user, wherein the request includes destination data and a detected origin location associated with the user;
• identify a plurality of routes from the origin to the destination, wherein a route comprises a plurality of road segments;
• retrieve data indicative of accident history associated with at least one of the road segments;
• retrieve data indicative of a real-time condition of the road segments;
• retrieve a user profile associated with the user, wherein the user profile includes at least one of a user-configurable tolerance level and driver's history that factors experience and past traffic incidents;
• calculate risk scores, based on the accident history and the real-time condition and weighed based on the at least one tolerance level and the driver's history, associated with a plurality of proposed routes, wherein the calculation includes combining, using a statistical inference method, the accident history and a statistical regression model based on features of a road segment to compute a likelihood of having an accident on the road segment;
• identify a personalized route based on the risk scores;
• and
• generating a personalized route suggestion based on the risk scores wherein the personalized route is transmitted to a user device or provided on a vehicle display.

A non-transitory computer-readable storage medium storing code that, when executed, causes a computer to perform the steps of:

• receiving a navigation request from a user, wherein the request includes destination data and a detected origin location associated with the user;
• identifying a plurality of routes from the origin to the destination, wherein a route comprises a plurality of road segments;
• retrieving data indicative of accident history associated with at least one of the road segments;
• retrieving data indicative of real-time condition of the road segments;
• retrieving a user profile associated with the user, wherein the user profile includes a user-configurable tolerance level and a driver's history that factors experience and past traffic incidents,
• calculating risk scores, based on the accident history and the real-time condition and weighed based on tolerance level and the driver's history, associated with a plurality of proposed routes, wherein the calculation includes combining, using a statistical inference method, the accident history and a statistical regression model based on features of a road segment to compute a likelihood of having an accident on the road segment;
• and
• generating a personalized route suggestion based on the risk scores wherein the personalized route is transmitted to a user device or provided on a vehicle display.