发明名称 Systems and methods for estimating local traffic flow
摘要 Systems and methods for estimating local traffic flow are described. One embodiment of a method includes determining a driving habit of a user from historical data, determining a current location of a vehicle that the user is driving, and determining a current driving condition for the vehicle. Some embodiments include predicting a desired driving condition from the driving habit and the current location, comparing the desired driving condition with the current driving condition to determine a traffic congestion level, and sending a signal that indicates the traffic congestion level.
申请公布号 US8897948(B2) 申请公布日期 2014.11.25
申请号 US201012890751 申请日期 2010.09.27
申请人 发明人 Caveney Derek Stanley;McNew John Michael
分类号 G07C5/00;G08G1/0967;G08G1/16;G08G1/01 主分类号 G07C5/00
代理机构 Dinsmore & Shohl LLP 代理人 Dinsmore & Shohl LLP
主权项 1. A method for estimating local traffic flow, comprising steps of: determining, by a vehicle computing device of a vehicle, a driving habit of a user from historical data, wherein the driving habit includes a headway gap the user prefers and a preferred lateral gap that the user prefers in order to change lanes, wherein the headway gap that the user prefers is combined with a speed gap to determine a longitudinal mobility factor, wherein the speed gap is a function of a speed the user prefers and a current vehicle speed; determining, by the vehicle computing device, a current location of the vehicle that the user is driving; determining, by the vehicle computing device, a current driving condition for the vehicle; predicting by the vehicle computing device, a desired driving condition from the driving habit and the current location; comparing, by the vehicle computing device, the desired driving condition with the current driving condition to determine a traffic congestion level; and sending a signal, by the vehicle computing device, to a different vehicle that will enter the current location of the vehicle, wherein the signal indicates the traffic congestion level.
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