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Dynamic V2V link delay predicting method in VANETs

A technology of dynamic prediction and link delay, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve the problem of inability to accurately predict link delay, link delay or link connectivity inappropriate, It is difficult for the driver to discover the general law of vehicle node speed changes and other issues

Active Publication Date: 2014-09-24
HARBIN INST OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to solve one, under the urban environment, by the road topological structure of intersection, the change of traffic light, the factor such as the turning of intersection influences link delay analysis, can't accurately predict link delay actually; Two, MANETs The analysis method does not meet the needs of the vehicle network environment and applications; the research on link delay or link connectivity based on the method of MANETs is not suitable for the research of VANETs, ​​routing protocols and the network topology of dynamically changing VANETs; 3. It is difficult for the driver to find the general law of the speed change of the vehicle node, which brings great difficulties to predict the link delay. A dynamic prediction method for V2V link delay in VANETs is proposed

Method used

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  • Dynamic V2V link delay predicting method in VANETs
  • Dynamic V2V link delay predicting method in VANETs
  • Dynamic V2V link delay predicting method in VANETs

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specific Embodiment approach 1

[0051] Specific implementation mode 1: A dynamic prediction method for V2V link delay in VANETs according to this implementation mode is specifically prepared according to the following steps:

[0052] Step 1. Assume that the speed of the i-th vehicle is The speed of the jth vehicle is then the relative velocity for According to the relative speed Calculate the relative velocity value △v of any two vehicles;

[0053] Step 2. Calculate the relative displacement value ΔS of the fronts of the i-th vehicle and the j-th vehicle;

[0054] Step 3. According to the relative velocity value △v calculated in step 1, it is calculated that △v obeys the general normal distribution, that is, the Gaussian distribution The average speed difference u, the variance σ 2 , where V i is the random variable of the speed of car i subject to normal distribution, V j is a random variable that obeys the normal distribution of the speed of car j, v i is the speed value of the i-th vehicle,...

specific Embodiment approach 2

[0063] Specific embodiment two: the difference between this embodiment and specific embodiment one is: in step one, it is assumed that the speed of the i-th vehicle is The speed of the jth vehicle is then the relative velocity for According to the relative speed Calculate the relative velocity value △v of any two vehicles as follows:

[0064] The present invention stipulates that the vehicle traveling from left to right and from bottom to top (on the street map, from west to east and from south to north) is forward travel; Vehicles; for convenience, all velocities in the invention are treated as scalar quantities;

[0065] △v is the relative velocity value of vehicle i and vehicle j, then

[0066] Δv = | | v → i | - ...

specific Embodiment approach 3

[0068] Specific embodiment 3: The difference between this embodiment and specific embodiment 1 or 2 is that in step 2, the relative displacement value ΔS of the fronts of the i-th vehicle and the j-th vehicle is calculated as:

[0069] ΔS = | | S → i | - | S → j | | diri = dirj | S → i | ...

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Abstract

The invention relates to a dynamic V2V link delay predicting method in VANETs to solve the problems that the link delay cannot accurately and practically predicted, the vehicle-mounted network environment and the application requirement cannot be met through the method based on the MANETs, it is very hard for a driver to find out the universal law of automobile node velocity change, and then great difficulty is brought to link delay prediction. The method comprises the steps that firstly, the relative velocity value delta v of two automobiles is calculated; secondly, the relative displacement value delta S of two automobile heads is calculated; thirdly, the average speed difference value u and the variance sigma 2 of the formula seen in the specification are worked out; fourthly, the relative distance L is calculated; fifthly, the mathematical expectation value ET of link delay is calculated. The method is applied to the field of dynamic V2V link delay prediction in VANETs.

Description

technical field [0001] The invention relates to a dynamic prediction method of V2V link delay in VANETs. Background technique [0002] Link delay is one of the key important parameters for V2V information transmission application and its security application in VANETs. However, theoretical analysis and prediction of link delay is very complicated. Previous research work has considered the speed, density, position, direction, distance between nodes of vehicles in traffic flow, the transmission range of wireless signals, traffic lights, etc. The influence of the change of , the car turning at the intersection, etc. on the link delay, but assuming that the vehicle speed, traffic density is constant, and the traffic lights are independent, it cannot accurately predict the link delay. [0003] In fact, the speed of cars on the road is changing randomly. The complex environment of VANETs and the vulnerability of wireless channels have brought great challenges to the theoretical a...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/052
Inventor 崔刚王秀峰王春萌付忠传吴翔虎暴建民莫毓昌朱东杰张策张必英
Owner HARBIN INST OF TECH
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