Personalized route indices via crowd-sourced data
First Claim
Patent Images
1. A system comprising:
- a vehicle processor programmed tocluster traffic incident information to determine geographical locations in which a statistically-increased level of traffic incidents occur;
generate traffic incident likelihood indices predictive of traffic incidents levels within the geographic locations according to crowd-sourced event information factors and an index function including coefficients defining contributions of the information factors to the traffic incident likelihood indices, the index function being of the form
Ri(k)=f_1(geometry(k),a_1, . . . ,a_n)+f_2(weather(k),a_(n+1), . . . ,a_m)+f_3(crowd data(k),a_(m+1), . . . ,a_l),where Ri represents the traffic incident likelihood indices, k represents the geographic locations for which the indices Ri are being calculated, f1 represents a function of road geometry information, f2 represents a function of weather conditions, f3 represent a function of the crowd-sourced event information, and a1, . . . , al represent the coefficients defining contributions used to weight the factors in creation of the indices Ri; and
optimize the coefficients to minimize error between the indices Ri and the clustered traffic incident information; and
generate traffic incident likelihood alerts responsive to the traffic incident likelihood indices exceeding a threshold level of traffic incident likelihood.
1 Assignment
0 Petitions
Accused Products
Abstract
Traffic incident information may be clustered to determine geographical locations in which a statistically-increased level of traffic incidents occur. Indices indicative of vehicle operating conditions within the locations may be generated according to crowd-sourced event information factors and an index function including coefficients defining contributions of the factors to the indices. The coefficients may be optimized to minimize error between the index-predicted statistically-increased level areas and the clustered traffic incident information.
-
Citations
8 Claims
-
1. A system comprising:
a vehicle processor programmed to cluster traffic incident information to determine geographical locations in which a statistically-increased level of traffic incidents occur; generate traffic incident likelihood indices predictive of traffic incidents levels within the geographic locations according to crowd-sourced event information factors and an index function including coefficients defining contributions of the information factors to the traffic incident likelihood indices, the index function being of the form
Ri(k)=f_1(geometry(k),a_1, . . . ,a_n)+f_2(weather(k),a_(n+1), . . . ,a_m)+f_3(crowd data(k),a_(m+1), . . . ,a_l),where Ri represents the traffic incident likelihood indices, k represents the geographic locations for which the indices Ri are being calculated, f1 represents a function of road geometry information, f2 represents a function of weather conditions, f3 represent a function of the crowd-sourced event information, and a1, . . . , al represent the coefficients defining contributions used to weight the factors in creation of the indices Ri; and optimize the coefficients to minimize error between the indices Ri and the clustered traffic incident information; and generate traffic incident likelihood alerts responsive to the traffic incident likelihood indices exceeding a threshold level of traffic incident likelihood. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
Specification