JPH0520594A - Vehicle movement measurement device - Google Patents

Abstract

(57) [Abstract] [Purpose] Two video cameras are used to take a bird's-eye view of vehicle trends, and these image data are processed to measure and output vehicle sensing, speed, and road congestion. To do. A video signal captured by a video camera 2-1 is converted into digital data by a video data A / D converter 2-4 and stored in an image memory 2-5. And
The image data processing unit 2-8 performs image processing on these data to measure the vehicle tracking, traveling speed, and the like. Similarly,
A video signal captured by the video camera 2-2 is converted into digital data by the video data A / D converter 2-7 and stored in the image memory 2-8. Then, the image data processing unit 2-9 performs image processing on these data to measure the congestion degree of the road. Then, the speed, the presence detection, and the congestion degree are transferred to the data processing unit 2-10, and the various traffic information is output by the data input / output unit 2-11.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vehicle dynamics measuring device installed on a road for measuring and collecting necessary traffic information such as vehicle speed, number of vehicles passing, vehicle type (small vehicle / large vehicle).

[0002]

2. Description of the Related Art Conventionally, this type of vehicle dynamics measuring device performs image processing on original image data and background data obtained by photographing the movement of a vehicle on a road, and determines the speed of the vehicle, the number of passing vehicles, the type of vehicle (small vehicle / large vehicle It is configured to be able to measure and output (cars, etc.).

[0003]

However, in the above-described conventional vehicle dynamics measuring device, only the regions for measuring the speed of the vehicle, the number of passing vehicles, and the types of vehicles are set, and it is difficult to measure the congestion degree on the road. However, there was a problem in that it was insufficient as a measurement of vehicle trends.

The present invention solves such a conventional problem and requires not only the accurate vehicle speed for each lane, the number of vehicles passing through, the type of vehicle (small / large vehicle), but also the degree of road congestion. It is an object of the present invention to provide a vehicle movement measuring device that measures and collects traffic information from image data of two video cameras.

[0005]

In order to achieve the above object, the present invention provides a video camera for measuring the speed, the number of passing vehicles, and vehicle types (small cars / large cars) of individual vehicles for each lane and a congestion degree on the road. A video camera that measures the judgment is set, and the image data of each image is processed to measure the speed of individual vehicles, the number of vehicles passing through, the vehicle type (small / large vehicles), and the degree of congestion on the road. Is.

[0006]

The present invention has the following effects due to the above configuration. That is, since the congestion level of the road can be detected, the output timing of the traffic signal controller is predicted by using this information, and the traffic signal controller is actually created from the measured data of the speed of the individual vehicle and the number of passing vehicles. Since it is possible to determine whether or not to change the output timing of, the useless timing can be reduced and fine control can be realized, which is useful for eliminating traffic congestion.

[0007]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 shows an embodiment of the present invention.

In FIG. 1, 1-1 and 1-2 are video cameras, 1-3 is a vehicle tracking area, and 1-4 is a congestion degree determination area. The video camera 1-1 is photographed toward the road downstream, which is the traveling direction of the vehicle, and the video camera 1-2 is photographed toward the road upstream, which is the vehicle arrival direction. In the vehicle tracking area 1-3 in the image data of 1, the speed of each vehicle, the presence detection signal, the determination of the vehicle type, etc. are measured. On the other hand, the video camera 1-
In the congestion degree determination area 1-4 in the image data from 2, it is determined whether or not the measurement road is congested based on the number of vehicles existing in the area.

FIG. 2 shows the configuration of signal processing in this embodiment. In FIG. 2, 2-1 is a first video camera, 2-2 is a second video camera, 2-3 is image data from the first and second video cameras 2-1 and 2-2. The main body of the vehicle dynamics measuring device, 2-4 and 2-7 are A for converting an analog image signal into digital image data.
/ D conversion units, 2-5 and 2-8 are image memories for storing image data, 2-6 and 2-9 are image data processing units, 2
Reference numeral -10 is a data processing unit that processes both image data obtained from the first and second video cameras, and 2-11 is a data input / output unit.

Next, the operation of the above embodiment will be described.
In the above-mentioned embodiment, the video signal picked up by the video camera 2-1 is transmitted to the vehicle movement measuring device body 2-3 as the signal processing means. In the vehicle movement measuring device main body 2-3, this video signal is converted into image data of digital data by using the A / D converter 2-4. Then, image data of two screens captured at a certain fixed interval is stored in the image memory 2-.
Store in 5. Further, the image memory 2-5 stores information (background data) in a state where no vehicle exists. Then, using the data in the image memory 2-5, the image data processing unit 2-8 performs image processing to extract the vehicle, and by continuously processing this processing, tracking of the vehicle, traveling speed, etc. are performed. measure. Similarly, the video signal captured by the video camera 2-2 is converted into an A / D conversion unit 2-7.
Is converted into image data which is digital data and stored in the image memory 2-8. Then, using the image data of these image memories 2-8, the image data processing unit 2-9
Image processing is performed in and the congestion degree of the road is measured. And
The speed, presence detection, and congestion degree are transferred to the data processing unit 2-10, and these various types of traffic information are input / output unit 2-11.
To output.

Next, the basic processing flow of the present invention is shown in FIG.
Will be explained. First, the vehicle tracking area is subjected to image processing such as differentiation and difference processing to extract the vehicle (step 3-1). Next, the extraction result is analyzed to extract the leading edge data representing the position of the leading edge of the vehicle (step 3-2). Then, the leading edge data and the leading edge and speed data up to the previous time are compared, and the vehicle tracking processing is performed (step 3-3). Then, for the vehicle that has been tracked, the presence detection signal and the vehicle speed are calculated (step 3-4). On the other hand, image processing such as differentiation and difference processing is performed in the congestion degree determination area to determine whether or not there is a vehicle (step 3-5). Then, this data is compared with the information on the presence or absence of the vehicle up to the previous time to determine whether or not the vehicle is congested (step 3-6). Then, these pieces of information are output (step 3-7).

As described above, according to the above embodiment, since the congestion degree of the road can be detected, the output timing of the traffic signal controller is predicted by using this information, and the speed of the individual vehicle, Since it is possible to determine whether to actually change the output timing of the traffic signal controller from the measurement data of the number of passing vehicles, there is an advantage that wasteful timing can be reduced, fine control can be performed, and traffic congestion can be resolved.

[0013]

As is apparent from the above-mentioned embodiment, the present invention can detect the congestion degree of the road. Therefore, this information is used to predict and produce the output timing of the traffic signal controller, and the individual vehicle Since it is possible to determine whether to actually change the output timing of the traffic signal controller from the measured data of the speed and the number of passing vehicles, it is possible to reduce unnecessary name timing and perform fine control, which is useful for solving traffic congestion.

[Brief description of drawings]

FIG. 1 is an installation example and measurement area in an embodiment of the present invention.

FIG. 2 is a block diagram of a vehicle movement measuring device according to an embodiment of the present invention.

FIG. 3 is a flowchart showing the operation in the embodiment of the present invention.

[Explanation of symbols]

1-1, 1-2, 2-1, 2-2 video camera 1-3 Vehicle tracking area 1-4 Congestion level judgment area 2-3 Vehicle dynamic measurement device body 2-4, 2-7 A / D converter 2-5, 2-8 image memory 2-6, 2-9 Image processing unit 2-10 Data processing unit 2-11 Input / output section

Claims (3)

[Claims] 1. A first video camera which is above a lane of a road on which a vehicle is traveling and which captures a downstream direction of the road to generate a first video signal, and an upstream direction of the road. A second video camera for photographing and generating a second video signal, a means for processing the first video signal to measure traveling information of the vehicle in the lane, and a signal for the second video signal. A vehicle dynamics measuring device comprising a means for processing and measuring the congestion information of the vehicle in the lane. 2. The vehicle dynamics measuring apparatus according to claim 1, wherein the traveling information is information representing a vehicle speed and presence detection. 3. The vehicle movement measuring device according to claim 1, wherein the congestion information is a control signal for switching signals of at least one set of traffic signals on the road.