A Method for Recognizing Stop Sections in Vehicle Trajectories Based on Dynamic Threshold
A technology of dynamic threshold and vehicle trajectory, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve the problems of missing target vehicles, increasing the workload of case handling personnel, reducing the efficiency of case handling, etc. Case-handling time, improvement of case-handling efficiency, and high accuracy
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Embodiment 1
[0039] see figure 1 Shown is a flow chart of a method for identifying a stop section in a vehicle trajectory based on a dynamic threshold described in the present application, including:
[0040] Step 101. Obtain the passing trajectory of the target vehicle passing through the traffic checkpoints in chronological order. The number of checkpoints passed by the target vehicle is n, and the number of checkpoints passed by the target vehicle is k m , and the time of passing through each bayonet is denoted as the passing time t m , where, 1≤m≤n, the process trajectory of the target vehicle is expressed as: (k 1 ,t 1 ), (k 2 ,t 2 ), (k 3 ,t 3 ),……, (k n-1 ,t n-1 ), (k n ,t n );
[0041] Step 102: Segment the passing trajectory of the target vehicle through the traffic checkpoint to obtain n-1 checkpoint pairs, each checkpoint pair represents a section of the actual traffic road, and the checkpoint pair is expressed as: ((k 1 ,t 1 ), (k 2 ,t 2 )), ((k 2 ,t 2 ), (k ...
Embodiment 2
[0045] On the basis of Embodiment 1, in step 103, the said passing data is calculated and analyzed to obtain the dynamic threshold value of each bayonet pair and the time it takes for the target vehicle to pass through each bayonet pair, and determine the target vehicle Whether to stay in the road section corresponding to a checkpoint pair, further:
[0046] Step 201, for the i-th bayonet pair ((k i ,t i ), (k i+1 ,t i+1 )), get t i and t i+1 All passes through bayonet k within the current date i and bayonet k i+1 The passing data of , among them, 1≤i≤n-1.
[0047] In order to prevent the impact of abnormal conditions such as road construction or traffic control, the date here is in days.
[0048] Step 202, according to the passing data, calculate each vehicle through the bayonet pair ((k i ,t i ), (k i+1 ,t i+1 )) The time spent on the corresponding road section.
[0049] That is to say, for the current bayonet pair, the passing time t of all vehicles passing the...
Embodiment 3
[0066] A kind of application embodiment of the present invention is provided below, see image 3 .
[0067] Methods for identifying stop segments in vehicle trajectories based on dynamic thresholds include:
[0068]Step 301, using the distributed system infrastructure Hadoop to limit the time range and the license plate number of the target vehicle, and obtain the checkpoints and time series of passing vehicles in chronological order, such as Figure 4 As shown, assume that the number of checkpoints that the target vehicle passes is n, and the number of checkpoints that the target vehicle passes is k m Indicates that the passing time is represented by t m means (1≤m≤n);
[0069] Step 302, segment the passing bayonet track, see Figure 4 , assuming that the passing trajectory of the target vehicle is (k 1 ,t 1 ), (k 2 ,t 2 ), (k 3 ,t 3 ),……, (k n-1 ,t n-1 ), (k n ,t n ), decompose to get n-1 bayonet pairs:
[0070] ((k 1 ,t 1 ), (k 2 ,t 2 )),
[0071] ((k 2...
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