Road congestion detection method based on VANETs and improved D-S evidence theory

A technology of evidence theory and detection method, applied in fuzzy logic-based systems, traffic flow detection, based on specific mathematical models, etc., can solve problems such as inability to integrate, and achieve improved utilization, suppression of broadcast storms, and accurate traffic congestion index Effect

Active Publication Date: 2018-01-23
CHANGAN UNIV
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  • Application Information

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Problems solved by technology

However, this method cannot fuse distributed detection results and accurately obtain the level of road traffic congestion in the entire detection area.

Method used

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  • Road congestion detection method based on VANETs and improved D-S evidence theory
  • Road congestion detection method based on VANETs and improved D-S evidence theory
  • Road congestion detection method based on VANETs and improved D-S evidence theory

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Embodiment 1

[0032] The present embodiment provides a road congestion detection method based on VANETs and improved D-S evidence theory, comprising the following steps:

[0033] Step 1, assuming that there are n vehicles driving on the road, through the speed and traffic density of each vehicle in n vehicles, at least one congestion index of each vehicle is obtained according to the congestion index set Θ, where at least one congestion index of vehicle i consists of The congestion index set A of the car i , where i=1,2,..,n, n is a natural number greater than or equal to 1, A i ={A i 1 ,A i 2 ,...,A i a ,...,A i M},M≤2 4 , A i a Indicates the ath congestion index of vehicle i, a=1,2,..,M;

[0034] The congestion index set Θ={I, II, III, IV};

[0035] Among them, the congestion index Ⅰ means unimpeded, and the qualitative description of the citizens’ feelings is: there are few cars on the road, and there is no obstruction; the congestion index Ⅱ means that it is basically smoot...

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Abstract

The invention discloses a road congestion detection method based on VANETs and an improved D-S evidence theory. The method comprises the following steps: step one, setting n cars driven on the road and according to the speed of each of the n cars and the traffic density, acquiring a congestion index set Ai of each car based on a congestion index set theta; step two, calculating a basic probabilitydistribution function of each of the n cars under each congestion index; step three, synthesizing the basic probability distribution functions of the n cars under the congestion indexes to obtain a basic probability distribution function m (A) of the road under each congestion index; and step four, according to the basic probability distribution function m (A) of the road under each congestion index, obtaining a congestion index Aa of the road. According to the invention, the distributed road congestion detection results are integrated, so that the reliability of the road congestion information is improved; and forwarding of congestion information by the car node is reduced and thus the broadcast storm is suppressed.

Description

technical field [0001] The invention belongs to the technical field of urban road congestion detection, in particular to a road congestion detection method based on VANETs and improved D-S evidence theory. Background technique [0002] With the continuous increase of car ownership, the problem of urban road traffic congestion has become increasingly prominent. At the same time, the vigorous development of Internet of Vehicles technology provides the possibility to solve the problem of urban traffic congestion. Vehicle networking technology refers to the use of wireless communication for information exchange between traffic participants (Vehicle to Vehicle, V2V), or between traffic participants and traffic infrastructure (Vehicle to Infrastructure, V2I), so as to realize vehicle motion control, traffic signal control, traffic information processing and release technology. V2V is mainly used in the fields of traffic information collection, detection, and simple processing, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N7/00G06N7/02G08G1/01G08G1/065
Inventor 赵祥模王润民胡锦超徐志刚李骁驰李东武陈婷吴霞王淼刘丁贝邓小峰
Owner CHANGAN UNIV
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