公开(公告)号：US20180063261A1

公开(公告)日：2018-03-01

申请号：US15254240

申请日：2016-09-01

Applicant: Cisco Technology, Inc.

Inventor： Ashok Krishnaji Moghe ,  John George Apostolopoulos ,  Andrea A. Gil Batres

IPC: H04L29/08 ,  H04W36/00 ,  H04W36/16

CPC classification number: H04L67/18 ,  G07C5/008 ,  G08G1/0112 ,  G08G1/0133 ,  G08G1/0145 ,  G08G1/052 ,  G08G1/087 ,  G08G1/123 ,  G08G1/205 ,  G08G1/207 ,  H04L67/12 ,  H04W36/0083 ,  H04W36/16

Abstract: In one embodiment, a prediction agent process collects travel information of a vehicle, and determines a profile of the vehicle, the profile indicative of one or more real-time resource requirements of the vehicle. The prediction agent process also predicts a path of the vehicle based on the travel information, and determines a next resource node along the predicted path having one or more real-time resources corresponding to the one or more real-time resource requirements of the vehicle. After further predicting a time of arrival of the vehicle being within range of the next resource node based on the travel information, the prediction agent process informs the next resource node of the profile of the vehicle and the predicted time of arrival, the informing causing the next resource node to operate the one or more real-time resources for the vehicle for the predicted time of arrival.

公开(公告)号：US10320923B2

公开(公告)日：2019-06-11

申请号：US15254240

申请日：2016-09-01

Applicant: Cisco Technology, Inc.

Inventor： Ashok Krishnaji Moghe ,  John George Apostolopoulos ,  Andrea A. Gil Batres

IPC: H04L29/08 ,  H04W36/00 ,  H04W4/14 ,  G08G1/01 ,  G07C5/00 ,  G08G1/052 ,  G08G1/087 ,  G08G1/123 ,  G08G1/00 ,  H04W4/44 ,  H04W36/32

Abstract: In one embodiment, a prediction agent process collects travel information of a vehicle, and determines a profile of the vehicle, the profile indicative of one or more real-time resource requirements of the vehicle. The prediction agent process also predicts a path of the vehicle based on the travel information, and determines a next resource node along the predicted path having one or more real-time resources corresponding to the one or more real-time resource requirements of the vehicle. After further predicting a time of arrival of the vehicle being within range of the next resource node based on the travel information, the prediction agent process informs the next resource node of the profile of the vehicle and the predicted time of arrival, the informing causing the next resource node to operate the one or more real-time resources for the vehicle for the predicted time of arrival.