Invention Grant
US09129519B2 System and method for providing driver behavior classification at intersections and validation on large naturalistic data sets
有权
在交叉点提供驾驶员行为分类的系统和方法以及大型自然数据集的验证
- Patent Title: System and method for providing driver behavior classification at intersections and validation on large naturalistic data sets
- Patent Title (中): 在交叉点提供驾驶员行为分类的系统和方法以及大型自然数据集的验证
-
Application No.: US13954954Application Date: 2013-07-30
-
Publication No.: US09129519B2Publication Date: 2015-09-08
- Inventor: Georges Aoude , Vishnu Rajeswar Desaraju , Jonathan P. How , Thomas Edward Pilutti
- Applicant: Massachusetts Institute of Technology
- Applicant Address: US MA Cambridge
- Assignee: Massachussetts Institute of Technology
- Current Assignee: Massachussetts Institute of Technology
- Current Assignee Address: US MA Cambridge
- Agency: Sheehan Phinney Bass + Green PA
- Agent Peter A. Nieves
- Main IPC: G08G1/00
- IPC: G08G1/00 ; G08G1/0962 ; G08G1/16

Abstract:
A system and method for predicting whether a vehicle will come to a stop at an intersection is provided. Generally, the system contains a memory; and a processor configured by the memory to perform the steps of: generating a prediction of whether the vehicle will or will not stop at the intersection before a first time based on vehicle data measured during a first time window; and at a second time, the second time being before the first time and approximately equal to a time at which the time window ends, providing an indication that the vehicle will not stop at the intersection before the first time based upon the prediction, wherein generating the prediction comprises using a classification model, the classification model configured to indicate whether the vehicle will or will not stop at the intersection before the first time based on a plurality of input parameters, and wherein the plurality of input parameters are selected from the group consisting of speed, acceleration, and distance to the intersection.
Public/Granted literature
Information query