US 12,394,307 B2
Speed prediction device and method thereof
Da Un Jeong, Seongnam-si (KR)
Assigned to HYUNDAI AUTOEVER CORP., Seoul (KR)
Filed by HYUNDAI AUTOEVER CORP., Seoul (KR)
Filed on Dec. 7, 2022, as Appl. No. 18/076,924.
Claims priority of application No. 10-2021-0175269 (KR), filed on Dec. 9, 2021.
Prior Publication US 2023/0186764 A1, Jun. 15, 2023
Int. Cl. G08G 1/052 (2006.01); G01P 11/02 (2006.01)
CPC G08G 1/052 (2013.01) [G01P 11/02 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A speed prediction device comprising:
a selection circuit configured to select a prediction section of a road for which to predict a speed of a vehicle and rear sections located behind the prediction section in a traveling direction of the vehicle;
a receiving circuit configured to receive driving information including speeds of vehicles passing the prediction section and the rear sections;
a processing circuit configured to generate processing information including an average speed obtained by giving a higher weight on the prediction section than weights on rear sections and giving a higher weight on a rear section closer to the prediction section than a weight on a rear section farther to the prediction section and calculating an average using the weights and the driving information;
a generating circuit configured to generate a predicted speed by inputting the processing information further including a real-time speed of the vehicle traveling on the road to a prediction model trained to predict a future speed of the vehicle;
an indicator-generating circuit configured to generate indicator information representing a degree of road congestion for each of the prediction section and the rear sections; and
a transmitting circuit configured to transmit information on the predicted speed to a route search server that generates shortest-time route information by analyzing the predicted speed and transmits the shortest-time route information to a navigation device for a user to drive the vehicle according to the shortest-time route information,
wherein the generating circuit is configured to generate the predicted speed by calculating the processing information and the indicator information and inputting the calculated information into the trained prediction model, and
wherein the prediction model is a deep neural network (DNN) model.