Data syncretizing method for urban traffic circulation indexes
A technology of data fusion and smoothness, which is applied in the direction of traffic flow detection, traffic control system, traffic signal control, etc., and can solve the problems of queuing length and parking rate that cannot meet the requirements of urban road traffic control.
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Embodiment 1
[0044] Embodiment 1: The data fusion method of the smoothness index of the intersection, such as figure 1 Shown is a schematic diagram of the data fusion method of the traffic flow index of the intersection according to the present invention, and the traffic flow index of the intersection is determined by the average delay time of vehicles in each phase in the intersection. The average delay time of a vehicle includes: dwell time and lost time, where the dwell time refers to the queuing waiting time at an intersection, which is calculated from the dwell time determined by the vehicle saturation, which is determined by the cycle of traffic lights Length, green signal ratio, traffic flow and saturated flow are determined; lost time refers to the time delayed due to the phase conversion of the intersection and the driver's reaction, which is determined by four different situations of vehicles entering the control area of the intersection signal light.
[0045] Four different sc...
Embodiment 2
[0086] Example 2 Fusion method of unimpededness indicators at multi-arterial intersections
[0087] Such as figure 2 A schematic diagram of the data fusion method for the flowability index of multiple arterial intersections according to the present invention is shown. In multi-arterial intersections, the smoothness index is reflected by the average travel time delay of vehicles passing through the intersections of the arterial line. The average travel time delay of each intersection of the arterial line is composed of two parts, one is the estimated travel time and the ideal travel time The difference; the second is the average delay time of vehicles at each intersection. Among them, the data fusion steps of each smoothness index include:
[0088] Step 1: Estimation of Mainline Travel Time
[0089] Mainline travel time refers to the time it takes for a vehicle to enter the mainline, pass through all intersections on the mainline, and leave the mainline. combine Image 6 ...
Embodiment 3
[0108] Embodiment 3 The data fusion method of the smoothness index of multi-trunk and multi-intersection in the road network, such as image 3 As shown, the road network multi-artery multi-intersection smoothness index is reflected by the average travel time delay weighted expectation value of several arterials in the region. Similar to the idea of single-point control intersection smoothness index, weighted expectation is also an improvement, considering the relationship between primary and secondary arterial roads, that is, the weight assigned to major arterial roads is relatively large while the weight of secondary arterial roads is relatively small.
[0109] Taking a traffic network with four main lines as an example, the north-to-south main line on the left is represented by LNS, the north-to-south main line on the right is represented by RNS, the west-to-east main line below is represented by DWE, the west-east main line above is represented by UWE, and the cross The p...
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