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Vehicle state prediction method of Internet of vehicles

A technology of vehicle state and prediction method, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., and can solve the problem of small quantity

Active Publication Date: 2015-08-26
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of forecasting technology only considers vehicles around the surrounding area, the number is small, and higher accuracy is required

Method used

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  • Vehicle state prediction method of Internet of vehicles
  • Vehicle state prediction method of Internet of vehicles
  • Vehicle state prediction method of Internet of vehicles

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Embodiment Construction

[0068] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0069] A method for predicting the state of a vehicle networked vehicle, such as figure 1 shown, including:

[0070] 1) Obtain the vehicle environment information where the target vehicle is located and the traffic light information in front of the target vehicle;

[0071] The vehicle environment information in which the vehicle is located is specifically:

[0072] Road=(long c , insertion, vehicles)

[0073] Among them: Road is the vehicle environment information, long c is the distance between the target vehicle and the front intersection, insertion is the front intersection in...

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Abstract

The invention relates to a vehicle state prediction method of Internet of vehicles. The method comprises the following steps: 1), obtaining vehicle environment information of a target vehicle and information of traffic lights in front of the target vehicle; 2), according to the vehicle environment information and historical state information of the target vehicle, predicting vehicle behavior of the target vehicle; and 3), according to the vehicle environment information, the information of the traffic lights in front of the target vehicle and the vehicle behavior obtained through prediction, through combination with the historical state information of the target vehicle, predicting the state of the vehicle. Compared to the prior art, the method provided by the invention has the following advantages: the vehicle behavior of the vehicle is predicted based on the vehicle environment information and the historical state of the vehicle, then the future state of the vehicle is predicted through the vehicle behavior, the prediction based on the vehicle behavior is more accurate, and the method is good in expandability, is simple and highly-efficient and is suitable for large-scale network conditions.

Description

technical field [0001] The invention relates to a vehicle state prediction technology, in particular to a vehicle state prediction method for a networked vehicle. Background technique [0002] The vehicle state includes the vehicle's position, velocity, and acceleration. These three motion attributes of the vehicle are crucial for the communication between vehicles in the Internet of Vehicles, and the communication between vehicles and infrastructure. Studying these three operating attributes is the research An important foundation for network connectivity in the Internet of Vehicles. The location is related to whether the two communication nodes are within the coverage of each other's infinite network, that is, whether the two communication nodes can communicate. Communication nodes can be vehicles or stationary roadside infrastructure. Velocity and acceleration affect the length of time that two communication nodes are within the communication range, that is, the communi...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0141G08G1/166
Inventor 程久军鄢晨丹陈福臻吴潇杨阳邵剑雨廖竞学秦鹏宇
Owner TONGJI UNIV
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