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
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[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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