JPH03162674A - Traffic state measuring instrument - Google Patents

Abstract

PURPOSE:To analyze a traffic state in detail by performing statistical processing based upon data regarding the speed, inter-vehicle distance, and acceleration/ deceleration state of each vehicle body. CONSTITUTION:Tape type sensors 2 and 2' are installed on a travel lane on a road 3 at a measurement distance l and when the wheels of the vehicle 4 pass the sensors 2 and 2', switches are closed so that detection signals are sent. Then a portable computer 5 inputs the signals from the sensors 2 and 2' to calculate the vehicle speed, acceleration/deceleration state, and inter-vehicle distance, and also processes those data statistically to calculate and print out a speed distribution, a distribution of the numbers of passing vehicles by time zones, and a percentile speed cumulative curve on a display part 5a and a printer 7. Further, a video camera 8 recognizes the car plate of the vehicle 4 where the vehicle passes the sensor 2' and outputs its video signal to a video tape recorder 9 and a monitor 10. Consequently, the traffic state can be analyzed in detail by a simple detecting means.

Description

[Detailed description of the invention] The present invention will be explained in detail according to the following items.

Industrial Application Field Overview of the Invention Prior Art Problems to be Solved by the Invention Means for Solving the Problems Embodiments a. Overview [Figure 1] b. Measurement principle [Figure 2] b-1. Vehicle speed and acceleration/deceleration status [Figure 2 (A)] b-2, Inter-vehicle distance I! iI [Figure 2 (B) C. Configuration [Figure 3] d. Operation [Figures 4 to 6] d-1. During measurement [Figure 4] d-2. At the time of counting [Figures 5 and 6] d-2-a. Statistical processing regarding speed distribution [Figure 5 (A), Figure 5 (B)] d-2-a-1. Speed distribution map d-2-a-2. Percentile speed cumulative curve diagram d-2-b. Statistical processing regarding distribution by time period [Figure 5 (C)] d-2-c. Data editing d-2-d. Setting conditions, etc. e. Application G. Effect of the invention (A. Industrial application field) The present invention relates to a novel traffic situation measuring device.
Speed, inter-vehicle distance, and acceleration/deceleration status can be measured simply by installing a pair of detection means to detect the passing of a vehicle.Furthermore, statistical processing is performed based on the data for each vehicle, allowing for detailed analysis of traffic conditions. The purpose of this paper is to provide a new traffic situation measuring device that can measure traffic conditions.

(B. Summary of the Invention) The traffic condition measuring device of the present invention has a predetermined distance of 11! for detecting passage of a vehicle. ! A pair of detection means arranged between the two, a clock means for measuring the time when the passing of a vehicle is detected by the detection means, and a time required for the vehicle to pass between the pair of detection means. a speed calculating means for calculating the speed, and a time when a wheel or a rear part of the vehicle body is detected by one of the pair of detecting means and a time when a wheel or a front part of the vehicle body of the following vehicle is detected. Inter-vehicle distance calculation means calculates the following vehicle distance from the speed of the following vehicle by the time difference and speed calculation means, and the detection means and timekeeping means of the pair of detection means that the vehicle passes first calculates the passing time of the front wheels and the following vehicle. The time difference between the passing time of the wheel and the passing time of the wheel is measured, and then the time difference between the passing time of the front wheel and the passing time of the rear wheel is measured by the other detection means and the timing means. By comparing these time differences, it is possible to accelerate or decelerate the vehicle. An acceleration/deceleration determination means is provided to determine the state, and statistical processing (speed distribution, distribution of the number of vehicles passing by time zone, par-7 This system is equipped with a statistical processing means that performs statistical processing (e.g., tile cumulative curve) and outputs it to a display means or printing means, thereby making it possible to analyze the traffic situation in detail while the means for detecting vehicles is simple.

(C. Prior Art) The speed of a vehicle is measured as an indicator for traffic enforcement and understanding of road traffic conditions.

In such cases, a speed measuring device that utilizes the Doppler effect is usually used, and by transmitting radar waves, etc. toward the vehicle being measured, and detecting the reflected waves, the vehicle's speed can be determined from changes in the frequency. Velocity is measured.

(D. Problems to be Solved by the Invention) By the way, the above-mentioned measuring device measures only the speed and cannot simultaneously measure the following distance, acceleration/deceleration state, etc. Even though the vehicle was traveling at the specified speed before entering the measurement zone, the road conditions change (for example, to avoid the approach of a following vehicle, etc.)
There is a problem in that it does not take into account the situation where the speed is affected by the measurement when the speed is unavoidably increased in order to cope with the problem.

In addition, with the above-mentioned measuring devices, it is difficult to obtain data regarding a specific vehicle in a short time when vehicles are running in series, and therefore it is not suitable for processing data regarding many vehicles, so data aggregation is required. has the trouble of having to rely on manual labor.

Furthermore, the above-mentioned measuring device is expensive because of its improved measurement accuracy, and requires special knowledge regarding setting methods and handling of the device.

(E. Means for Solving the Problems) Therefore, in order to solve the above-mentioned problems, the traffic situation measuring device of the present invention has a pair of detection means arranged a predetermined distance apart to detect the passing of a vehicle. a vehicle speed determined by: a timer that measures the time when the vehicle passes by the detection means; and a speed calculation means that calculates the speed from the time required for the vehicle to pass between the pair of detection means. In addition to measurement, the time difference between the time when the wheel or the rear of the vehicle is detected by one of the pair of detection means and the time when the wheel or the front of the vehicle of the following vehicle is detected, and the following by the speed calculation means. The time difference between the passing time of the front wheels and the passing time of the rear wheels is measured by an inter-vehicle distance calculation means that calculates the inter-vehicle distance from the speed of the vehicle, and by the detection means and timing means of the one of the pair of detection means through which the vehicle passes first. acceleration/deceleration determining means for determining the acceleration/deceleration state of the vehicle by comparing these time differences when the time difference between the front wheel passing time and the rear wheel passing time is measured by the other detection means and the timing means; Furthermore, statistical processing (speed distribution, distribution of the number of vehicles passing by time zone, percentile speed accretion curve) is performed based on the data regarding the speed, inter-vehicle distance, and acceleration/deceleration state of each vehicle obtained by these means, and the data is displayed on the display means. This system is equipped with statistical processing means for outputting the data to a computer or printing means.

Therefore, according to the present invention, in addition to speed, it is also possible to measure inter-vehicle distance and acceleration/deceleration status, and this data can be obtained for each vehicle and statistically processed, allowing for detailed analysis of traffic conditions. Moreover, these things can be realized with a simple configuration using a pair of detection means.

(F. Embodiment) The details of the traffic situation measuring device of the present invention will be explained according to the illustrated embodiment.

(a. Overview) [Fig. 1] Fig. 1 schematically shows how the traffic situation is measured using the traffic situation measuring device 1.

In the figure, reference numerals 2 and 2' are tape-shaped sensors, which are placed on the driving lane of the road 3 at a predetermined measurement distance (r(1'' (m))) relative to the traveling direction of the vehicle 4. When the wheels of the vehicle 4 pass these tape-shaped sensors 2, 2', the switch closes and a detection signal is emitted.
One of the tape-shaped sensors 2 is arranged on the inlet side of the measuring section, and the other 2' on the outlet side.

5 is a portable computer, which has a tape-like switch 2;
When the signal from 2' is input through the interface 6, the speed, acceleration/deceleration state, and inter-vehicle distance of the vehicle are calculated through arithmetic processing, and various statistical processing is performed, and the results are displayed on the display section 5a. The image can be displayed or output to a printer connected to the computer 5 by cable.

8 is a video camera, and the vehicle 4 is equipped with a tape-shaped sensor 2'.
The camera is adjusted to focus at the point where it passes through the
The camera angle is determined so that the license plate of the vehicle can be viewed from this position over a predetermined range. The video signal of the subject captured by the video camera 8 is recorded on the video table recorder 9 or displayed on the monitor 10.

(b. Measurement Principle) [Fig. 2] Next, the measurement principle of the traffic situation measuring device 1 will be explained using the schematic diagram of Fig. 2.

In the figure, point A corresponds to the position of tape-shaped sensor 2, point B corresponds to the position of tape-shaped sensor 2', arrow C indicates the direction of travel of the vehicle, and arrow D indicates the direction of time. It shows.

? b-i. Vehicle speed and acceleration/deceleration ■ state) [Figure 2 (A)] First, the time required from when the front wheel 4a of a certain vehicle 4 passes point A to the time when the front wheel 4a passes point B is calculated as 1+ ( seconds), the speed of the vehicle 4 in this case is n/t+(m/s), and by converting this to per hour, the vehicle speed (this is referred to as 'VIJ (κm/h)) can be obtained. Regarding acceleration, the time t1 required from the time the front wheel 4a passes point A until the rear wheel 4b passes point A, and the time t1 required from the time the front wheel 4a passes point B to the time the rear wheel 4b passes point B. Time taken to pass t.
By comparing 1. =1. Then constant speed, 1,
If <1, then accelerate, 1. >1. If so, it is possible to determine the direction of acceleration, such as deceleration. The magnitude of the acceleration can be determined if the distance between the front wheels and the rear wheels is known, but the direction of the acceleration is a more important factor than the magnitude itself. In other words, it is necessary to distinguish whether the vehicle speed v1 described above is measured for a vehicle in a constant speed state or during acceleration or deceleration. (b-2. Inter-vehicle distance!!) [Figure 2 (B)] The vehicle speed of the following vehicle 4' (rv2J (III/S
) will be found in the same way, but the distance between the wheels (m<this is referred to as "h") is determined by the distance between the front wheels 4'a of the following vehicle 4' from the time when the rear wheels 4b of the vehicle 4 pass point A. When the time required for passing through point A is t1, (seconds),
It is noted that the distance between the rear wheel 4b of the vehicle 4 and the front wheel 4'a of the following vehicle 4' is V2Xtl2. This means that if we assume that the vehicle 4 in question stopped when the rear wheels 4b of the preceding vehicle 4 passed point A, the front wheels 4'a of the following vehicle 4', which was traveling at a constant speed of v2, would stop after tl2 seconds. is easily understood from the fact that it has reached point A.

Therefore, as shown in Fig. 2 (B), inter-vehicle distance III (this is referred to as "rH") is determined by the correction amount ■ between the rear wheels 4b of the front vehicle 4 and the rear end of the vehicle, and the front wheels of the following vehicle 4'. 4'
It is obtained by subtracting a and the correction amount ■' up to the tip of the vehicle from the inter-wheel distance - h. Note that these correction amounts I and I' may be set to values depending on the vehicle type.

(c. Configuration) [FIG. 3] FIG. 3 shows the main part of the configuration of the traffic situation measuring device 1.

The parts surrounded by broken lines in the figure schematically show the processing functions performed by the portable computer 5 as block elements.

Reference numeral 11 denotes a timekeeping section, which measures the time when a signal indicating the passage of a wheel is detected by the tape-shaped sensors 2, 2' is sent via the interface 6.

Reference numeral 12 denotes a calculation section, in which a speed calculation section 12a calculates the vehicle speed based on the time information from the timekeeping section 11, and an acceleration/deceleration state determination section 12b determines whether the vehicle is running at a constant speed or is in an acceleration or deceleration state. The following distance calculation unit 12c calculates the following distance.

A statistical processing section 13 performs statistical processing such as speed distribution and frequency distribution of the number of vehicles passing by time zone based on the information obtained by the calculation section 12, and outputs the results to the display section 5a and printer.

Reference numeral 14 denotes a storage section, which is provided for storing data obtained by the timekeeping section 11, calculation section 12, and statistical processing section 13, and ultimately stores these data in a recording medium such as a flexible disk. It looks like this.

Reference numeral 15 denotes a control section, which controls each section according to signals from an input section 16. (d. Operation) [Figures 4 to 6] Next, we will explain the operation of the traffic condition measuring device 1 when measuring vehicle speed, inter-vehicle distance, etc. (hereinafter referred to as "measuring time"), and when measuring This will be explained separately for when data is aggregated and statistical processing is performed (hereinafter referred to as "aggregation time").

(d-1. At the time of measurement) [Figure 4] After completing the installation of the tape sensors 2, 2', video camera 8, etc., first prepare for the measurement by installing the PAf computer 5, video camera 8, and video tape. recorder 9
Which clock tower adjustment should you do?

Then, when the program is started, a menu screen appears on the display section 5a, and when the speed measurement item is selected, the subsequent processing is performed according to the flowchart shown in FIG.

a) Input r measurement conditions. ” There are various conditions for measurement, such as specifying a standard speed for determining overspeeding and issuing an alarm when speed data exceeding the specified speed is obtained. The value is input by operating the input section 16.

b) "Read the conversion rate value for making the count value and time correspond." Since the value is "C"), it does not directly indicate the actual time, but the conversion rate (that is, time per one count) for converting the count value C into a time value is stored from the storage unit 14. Read out and proceed to the next step C).

Note that the meaning of the count value C differs depending on whether the wheel passed through the tape-like sensor 2 or 2', whether the wheel at that time was the front wheel or the rear wheel, etc., so in order to distinguish between them, As shown in the table below, the subscript i (=1
, 2, 3, 4, 5, 6, 7, 8) and write it as "CI", and an index "n" on the right shoulder to clearly indicate which vehicle the count value relates to. ” with “Cn
I will express it as an eye.

Comparing the above table with FIG. 2(A), the meaning of "Cn1" will be more clearly understood.

c) Add 1 to the r count value (C-C+1). ” Since the count value C is a value corresponding to time, it is incremented by one every time a predetermined unit time passes. Then proceed to the next step d).

d) Is there any input from the r tape sensor? A question is asked as to whether or not the tape-like sensor 2 or 2' senses the passage of a wheel. If so, the process proceeds to the next step e); if not, the process proceeds to step q).

e) Is the information from the r entrance side sensor? J In other words, it is determined which of the tape sensors 2 and 2' has detected the wheel, and if it is the entrance side, step f)
If it is the exit side, proceed to step k).

f) "Has the front wheel passed?" It is asked whether the front wheel or the rear wheel has passed the tape-shaped sensor 2 on the entrance side. This can be determined from the number of times the entrance side tape sensor 2 senses the wheel. If this number is an odd number, it is determined that it is a front wheel and the process proceeds to step g); if this number is an even number, it is determined that it is a rear wheel and the process proceeds to step g). Proceed to i).

g) "Memorize the count value as Cr'." The count value C at this point is the value when the penalty wheel of the n-th vehicle passes the population side tape-shaped sensor 2, so it is used as speed measurement data. It is stored in the storage unit 14 as CI″1.

h) "Determine and store inter-vehicle distance data C''5." The count value Crl obtained in step h> above and the point in time when the rear wheel of the vehicle one vehicle in front of it passes the entrance side tape-shaped sensor 2. The difference from the count value (n-12) at .

Then return to step C).

i) Store the r count value as Cn2. ” The count value C at the time when the rear wheel of the vehicle passes the entrance side tape sensor 2 is stored in the storage unit 14 as Cn, and the count value C of the vehicle (nth vehicle) and the following vehicle (n111th vehicle) are This is used to calculate the following distance between vehicles.

j) "Determine and store acceleration/deceleration determination data C0II.

” The difference between (n2 obtained in step i) and Cn obtained in step g) is calculated in the calculation unit 12, and this is stored in the storage unit 14 as Cfl6. This Cn6 corresponds to the speed of the n-th vehicle at the entrance side, and is used to determine the acceleration/deceleration state of the vehicle from a comparison with the speed at the exit side.

Then return to step C).

1() Did the front wheel pass? ” The question is whether the front wheels or the rear wheels have passed through the tape-shaped sensor 2' on the exit side. As in step f) above, judgment is made based on the number of times the outlet side tape-shaped sensor 2' senses the wheel. If the number is odd, it is judged to be the front wheel and the process proceeds to step 10, and if the number is even, it is judged to be the rear wheel. step p)
Proceed to.

fl) r count value is Cn3, speed calculation data C
Find and store n. ” The count value C at this point is the value at the time when the front wheel of the nth vehicle passes the tape-shaped sensor 2' on the exit side,
This is stored as Cn3.

Then, Cn, obtained in step g) from Cn,
By subtracting , a count value CI''4 corresponding to the time required for the vehicle to pass through the measurement zone is obtained and stored.

m) Find the rnth vehicle speed. ” After converting into a time value by multiplying the value Cn4 obtained in step 1) by the conversion factor read in step b), by dividing the measured distance 11142 input in step a) by this value, This is stored as speed data of the n-th vehicle (this is written as 'D'+J).

n) Find the inter-vehicle distance. ” Multiply the time tl2 obtained from the speed data DnI obtained in step m) and Cn obtained in step h), and subtract the correction values (■ and I' described above) from the result to determine the inter-vehicle distance. Obtain the data (this is assumed to be 'D''2J), and calculate the passing time at the time when the vehicle passed through the measurement section (this is obtained by converting (n, into time), and this time data 'D' sJ).

0) ``Add 1 to the number of passing vehicles (n=n◆l). ”After adding 1 to the count value n indicating the number of passing vehicles, step C
).

p) "Determine the acceleration/deceleration state." Since the count value C at this point corresponds to the time when the rear wheel passed the tape-shaped sensor 2' on the exit side, let the count value C be Cn. Find the difference between this Cn7 and Cn obtained in step fL) and set this as Cn8. Then, this Cr16 and the C obtained in step j)
By comparing with n6, the acceleration/deceleration state of the vehicle is determined. That is, if C'a=C'a, it is a constant speed state, C
'a＞C ``If a, acceleration state, CI''8 Crl
If it is 6, it is determined that the vehicle is in a deceleration state, and each state value is stored.

Then return to step C).

q) "Has the unmanned state continued for more than a predetermined time?" In step d), the signal from the tape-shaped sensor 2 or 2' is sent to the computer 5 via the interface 6.
If the state in which no data is sent continues for a predetermined period of time or more, the process proceeds to step r); otherwise, the process returns to step C).

r) Do you want to end the r measurement? ” If the number of passing vehicles is zero for a predetermined period of time or more in step q), the display section 5a indicates whether to end or continue the measurement.
Since the question is asked on the screen, either one is selected by operating the human power section 16.

Then, to end the measurement, proceed to the next step S), and to continue, return to step C). s) Save r data. ” The data temporarily stored in the storage unit 14 is saved in the recording medium in a file format with the measurement time as the file name, and the series of operations ends.

(d-2. At the time of aggregation) [Figures 5 and 6] After the above-mentioned measurements of vehicle speed, etc., the data will be aggregated, etc. The flow of the process is, for example, the flowchart shown in Figure 6. This is done as shown in the figure.

That is, in step a), when a desired item is selected from the processing contents displayed on the menu screen using the input unit 16, it is determined in the next step b) which process has been selected.

Processing items can be divided into the following, for example. 1) Statistical processing related to speed distribution (speed distribution map and percentile speed cumulative curve chart) 2) Statistical processing related to vehicle distribution by time period (number of passing vehicles by time period chart) 3) Data editing 4) Setting conditions, etc. (d - 2-a. Statistical processing regarding speed distribution) [Fig. 5 (A), Fig. 5 (B)] First, the speed distribution diagram will be explained.

(d-2-a-1. Speed distribution diagram) As shown in Figure 5 (A), the speed distribution diagram shows the number of vehicles that fall within the speed range when the horizontal axis is the speed at a predetermined interval, and the vertical axis is the number of vehicles that fall within the speed range. displayed as a histogram.

The number of vehicles that do not follow the corresponding inter-vehicle distance within a certain speed section is displayed superimposed on the speed distribution histogram, as shown by the hatched area in the figure. still,
At the top of the screen, the number of vehicles confirmed to have passed from the start to the end of the measurement, the average speed, the number of vehicles exceeding the legal speed limit, etc. are displayed.

Accordingly, if processing related to velocity distribution is selected in step a), a desired file is selected in step C). Then, the file is read out in step d), then calculated in step e), and then processed in step f).
A speed distribution map is displayed on the display section 5a.

Thereafter, in step g), it is determined whether or not to display the histogram related to the inter-vehicle distance over the speed distribution map. If so, the process proceeds to step h), and as shown in FIG. The process of displaying is performed, and if it is not displayed, the process proceeds to step i).

(d-2-a-2. Percentile velocity accrual curve diagram) In step i), it is asked whether or not to display a percentile velocity accrual curve diagram as shown in FIG. 5(B).

This graph shows the relationship between the measured speed data, which is arranged in descending order of speed, the cumulative number of vehicles relative to the parameter expressed as a percentage on the horizontal axis, and the speed on the vertical axis.

By reading the speed corresponding to the percentage on the horizontal axis, for example, if the speed corresponding to the 85% scale (85% tile speed value) exceeds the control speed of the measured road, the road is dangerous. Vehicles that are determined to be below the 15% tile speed value will cause traffic flow disturbances, and their speed can be seen at a glance.

In this case, after the calculation process in step j) is performed using the data already read in step d), a graph is displayed on the display section 5a in step k). Then, a series of processes related to speed distribution are completed.

(d-2-b. Statistical processing regarding distribution by time period) [5th
Figure (C) Figure 5 (C) is a graph showing the number of passing vehicles by time zone, and the horizontal axis is CB! It is expressed as a histogram with the number of vehicles that passed within the time period plotted on the vertical axis.

This allows us to determine when there is a lot of traffic, etc.
In addition, the number of vehicles passing at a certain speed or higher is displayed in an overlapping manner as indicated by the diagonal lines in the figure, making it possible to understand the traffic situation together with the speed information. Note that the number of passing vehicles at each predetermined time interval is displayed on the right side of the graph.

In this case, the odor data is read out in step fL). Then, after calculation processing is performed based on the data read in step n), step 0
) will display the results. Thereafter, in step p), it is determined whether or not to display the histogram of the speed distribution by time zone over the graph of the number of passing vehicles by time zone, and if it is to be displayed, the series of processes is completed through step q). , if it is not displayed, the process ends.

(d-2-c. Data Editing) When editing data and outputting the list, the format is as shown below, for example.

Passage number Passage time Speed Number Index 55
08:09:10 55.5κm/h No.
OΩ56 08:09:12 58.2Km/
hNo. Rolo ★57 08:09:13
75.9Km/h No. △△ ★★In addition, the passing number is "n", the passing time is 'D' 3J, and the speed is 'D'
+J, the index "★" indicates that the distance between vehicles is not maintained, and the index "★★" indicates that the distance between vehicles is short and too close. In addition, the license plate of a vehicle can be identified based on the passing time while watching the video played back on the video tape recorder 9 (
The time code of the video tape recorder 9 matches the time of the computer 5).

The "+" indicates that the vehicle was in an accelerating state at the time of measurement, which indicates that the speed increased for some reason. Data can be deleted based on such an index (note that even if data for a certain vehicle is deleted, the inter-vehicle distance of the following vehicle will not be changed).

Therefore, when editing data, when a desired file is selected in step r), the data is read out in step S),
In step t), the measurement data is displayed in chronological order on the screen, so that deletion or the like can be performed by operating the human power section 16 while viewing the measurement data.

(d-2-d. Setting conditions, etc.) In step U), comments such as setting conditions and measurement locations regarding the inter-vehicle distance are registered.

For example, the following distance, which is the standard for the index in the data output list mentioned above, can be set depending on the speed, and the standard for determining that the following distance at that speed is too short and too close is dangerous. You can set the following distance. When setting these inter-vehicle distances, it is possible to set these distances relative to the speed, such as within a percentage of the speed, up to a certain speed.

(e. Application) Although the above-described traffic condition measuring device 1 can be used for speeding enforcement, it is more useful when used for traffic volume investigation for the purpose of analyzing the causes of violations.

In other words, it is possible to judge from the analysis results of the speed distribution map how fast the traffic flow is, how fast the vehicles that are disrupting the traffic flow are running, etc. By superimposing and displaying the distribution of non-maintaining distances between vehicles, it is possible to determine that the situation is likely to cause an accident when there are many vehicles that do not maintain the following distances.

In addition, from the analysis results of the percentile velocity cumulative curve diagram, 8
It is possible to provide guidance on dangerous speeds based on the 5% tile speed and safe speed guidance based on the 50% tile speed (standard speed for traffic flow).

Since the traffic rush situation can be determined from the analysis results of the number of vehicles passing by each time of day, it is possible to give guidance, such as how many minutes should be shifted during commuting hours to avoid getting stuck in traffic jams, or vice versa. It is possible to inform pedestrians, etc. of the time of day when there is a lot of traffic, and to alert them.

(G. Effects of the Invention) As is clear from the above description, the traffic situation measuring device of the present invention can detect the passage of a vehicle by a predetermined distance l.
A pair of detection means arranged between ISs, a timer for measuring the time when the passing of a vehicle is detected by the detection means, and the time required for the vehicle to pass between the pair of detection means. In addition to providing a speed calculation means for calculating the speed, the first method includes a time when the wheels or the rear of the vehicle body are detected by one of the pair of detection means, and a time when the wheels or the rear of the vehicle body of the following vehicle are detected. Based on the following distance calculation means that calculates the following vehicle distance from the time difference between the time when the vehicle is detected and the speed of the following vehicle by the speed calculation means, and the data for each vehicle obtained by the speed calculation means and the following vehicle distance calculation means. Perform statistical processing and display the results and/or
or a statistical processing means for outputting the output to a printing means, and as for the second one, the passing time of the front wheels is determined by the detection means of the pair of detection means that the vehicle passes first and the timekeeping means. The time difference between the passing time of the front wheels and the passing time of the rear wheels is measured, and then the time difference between the passing time of the front wheels and the passing time of the rear wheels is measured by the other detection means and timing means. The vehicle is equipped with an acceleration/deceleration determination means for determining an acceleration/deceleration state, and a statistical processing means for performing statistical processing based on data of each vehicle by the measurement/calculation means and the acceleration/deceleration determination means and outputting the result to a display means and/or a print means. It is characterized by

Furthermore, regarding the statistical processing means constituting the present invention, means for graphing the speed distribution as a histogram, means for superimposing the distribution situation regarding the inter-vehicle distance on the graph showing the speed distribution, and the number of passing vehicles by time zone are provided. A means for graphing the distribution, a means for superimposing the distribution status of vehicle speed by time zone on a graph showing the distribution of the number of vehicles passing by time zone, or a means for determining a percentile speed cumulative curve and graphing it. It is characterized by having the following. Therefore, according to the present invention, in addition to speed, it is also possible to measure inter-vehicle distance and acceleration/deceleration status, and this data can be obtained for each vehicle and statistically processed, allowing for detailed analysis of traffic conditions. Moreover, these things can be realized with a simple configuration using a pair of detection means. In the above-described embodiment, a tape-shaped sensor was used as a means for detecting the passage of a vehicle, but the technical scope of the present invention is not to be construed as being narrowly limited to this. If you can detect
It is possible to implement the method in various ways using detection means such as optical detection.

[Brief explanation of the drawing]

1 to 6 show an example of the implementation of the traffic situation measuring device of the present invention, FIG. 1 is a perspective view showing an overview, and FIG.
The figures are diagrams for explaining the measurement principle; (A) is a schematic diagram for explaining the measurement situation over time; (A) is a schematic diagram for explaining the measurement situation over time;
B) is a schematic diagram for explaining calculation of inter-vehicle distance;
FIG. 3 is a block diagram showing the main components of the configuration, FIG. 4 is a flowchart for explaining the operation during measurement, and FIG. 5 is a diagram for explaining statistical processing during aggregation.
is a velocity distribution diagram, (B) percentile velocity cumulative curve diagram,
(C) is a diagram of the number of passing vehicles by time zone, and FIG. 6 is a flowchart showing an example of the flow of processing at the time of counting. Explanation of symbols 1... Traffic condition measuring device, 2, 2'... Pair of detection means, 5a... Display means, 7... Printing means, 11... Timing means, 12a... Speed Calculating means, 12b... Acceleration/deceleration determining means, 12c... Inter-vehicle distance calculating means, 13... Statistical processing means Fig. 2 (A) Schematic diagram (calculation of inter-vehicle distance) Fig. 2 (B) 3. Figure 3 Brown Figure 5 (A) 15t difference 50 tortoise speed 85χ continuity 32.5
[k re/h3 37.5 [km/hl 47.
5 lk transport/hl percentile velocity cumulative curve diagram'Figure 5 (B)

Claims (5)

[Claims] (1) A pair of detection means arranged a predetermined distance apart to detect the passage of a vehicle; a timekeeping means for measuring the time when the passage of a vehicle is detected by the detection means; and a pair of detection means. a speed calculation means that calculates the speed from the time required for the vehicle to pass between the two, An inter-vehicle distance calculation means that calculates an inter-vehicle distance from the time difference from the time when the wheel or the front of the vehicle body is detected and the speed of the following vehicle by the speed calculation means, and an inter-vehicle distance calculation means that calculates the inter-vehicle distance from the time difference from the time when the wheel or the front part of the vehicle body is detected, and the following vehicle distance calculated by the speed calculation means and the inter-vehicle distance calculation means. A traffic situation measuring device characterized by comprising statistical processing means for performing statistical processing on the basis of data and outputting the results to display means and/or printing means. (2) a pair of detection means arranged a predetermined distance apart to detect the passage of a vehicle; a timekeeping means for measuring the time when the passage of a vehicle is detected by the detection means; and a pair of detection means. A speed calculation means calculates the speed from the time required for the vehicle to pass between the two, and a detection means and a timing means, whichever of the pair of detection means the vehicle passes through first, calculates the passing time of the front wheels and the rear wheels. The time difference between the passing time of the front wheels and the passing time of the rear wheels is measured by the other detection means and the timing means. By comparing these time differences, the acceleration/deceleration state of the vehicle can be determined. The present invention is characterized by comprising an acceleration/deceleration determination means for determining the acceleration/deceleration determination means, and a statistical processing means for performing statistical processing based on the data of each vehicle by the measurement calculation means and the acceleration/deceleration determination means and outputting the result to the display means and/or the print means. traffic condition measuring device (3) The statistical processing means includes means for graphing the speed distribution as a histogram, and means for superimposing the distribution situation regarding the inter-vehicle distance on the graph showing the speed distribution. traffic condition measuring device (4) The statistical processing means has means for graphing the distribution of the number of vehicles passing by each time period, and means for superimposing the distribution status of vehicle speed by time period on the graph showing the distribution of the number of vehicles passing by each time period. Traffic situation measuring device according to claim 1 or 2 characterized by: (5) The traffic situation measuring device according to claim 1 or 2, wherein the statistical processing means has means for determining and graphing a percentile speed cumulative curve.