JPS58207200A - Substitution data decision for traffic information collector - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

DETAILED DESCRIPTION OF THE INVENTION This invention relates to a method for determining a substitute take for a traffic information collection device in the event of a failure in a terminal device of a traffic control system that controls traffic lights, etc.

Generally, in a traffic control system, traffic flow information such as traffic volume, occupancy rate, speed, etc.
Sprints, off-cents and variable signs are controlled to smooth the flow of traffic.

In addition, two points with similar traffic flow information, for example information on changes in traffic volume, are selected, and if a failure occurs in one vehicle at one point, the traffic flow information at the other point is is substituted for the failure point. Conventionally, the system stores a constant value coefficient calculated in advance based on traffic flow data collected by vehicle detectors at two locations, and when the vehicle detector at one location malfunctions, the Substitute data was created by multiplying the traffic flow data at a point by the coefficient. but,
Although traffic volume, etc. changes according to changes in conditions such as date and time, weather, etc., and the correlation between traffic volume, etc. at two points differs depending on these changes, conventional methods for determining substitute data do not work in any situation. Since the proportionality coefficient was kept constant, the created substitute data was not optimal for changes in the actual situation.

The purpose of this JJ is to provide a method for determining substitute data for traffic information collection devices that is always optimal and accurate in response to changes in conditions such as date and time and weather, and that can determine substitute data in the event of a failure. It's about doing.

In summary, this starting point J is calculated using the latest coefficient by calculating the proportionality coefficient between the traffic flow data collected by each vehicle sensor at two points with similar traffic flow at regular intervals.
The present invention is characterized in that substitute data is determined for points where data cannot be collected.

According to this invention, since the proportionality coefficient between two points is always determined at regular intervals, highly accurate substitute data can be determined using the latest proportionality coefficient, and therefore, when a failure occurs, the actual This has the advantage that traffic control can be performed using data closer to the actual situation.

FIG. 1 and FIG. 2 are flowcharts showing the procedure of the substitute data determination method related to this departure J.

First, in step nl (hereinafter, step ni is simply referred to as ni), traffic flow information, for example, at each vehicle sensor terminal at two points where changes in traffic volume on day - are similar,
Calculate the average traffic volume per 5 minutes for each terminal. This 5
FIG. 3 shows a 70-chart for calculating the average throughput per minute.

Each terminal accumulates data related to traffic volume in 50 mSi (n20), calculates the total of the traffic volume after 5 minutes, and calculates the average traffic volume per 5 minutes (n21.n
22). The values of average passenger traffic per 5 minutes calculated at two points are x(li) and x(2i) (
i is 1-12 and represents one of 12 data acquisitions performed within 5 minutes. ).

Next, at n2, the average traffic volume per 5 minutes is accumulated every hour to calculate the average traffic volume per hour. That is, the average hourly traffic volume xlX2 at two points can be determined by the following formula.

X+ = ear e(li) x(li) / 2 p(li
) ・(la)1 X2 = ear p(2i) x(2i) / ear p(2i)
...(lb)+
1 In the above equation, p(li) and p(2i) are weighting coefficients for calculating the average over p at each point. Above (l
In formulas a) and (lb'), different weights are given to the latest data, but it is also possible to give the same weight to all data. Note that the traffic volume data may be collected sequentially for each unit time, and the average traffic volume per hour may be directly determined from the hourly total.

Then, from this average traffic volume per hour, proportional coefficients a, b'@- between two points are calculated and stored (n3.n4
). That is, the proportionality coefficients a and b are determined by the following formulas.

a = X4 / X2 In this way, by determining Xl and X2 at 5-minute intervals, the proportional coefficients a and b are updated and stored one after another.

Then, when a failure occurs in the vehicle sensor at one location and data collection becomes impossible, the collected data is collected by the other normal vehicle sensor (nlO).

Now, if there is an abnormality at the point where data XI is collected,
The other normal side terminal data X2 is multiplied by the proportional coefficient &a stored at that time (nil). Further, this value is multiplied by a correction coefficient p (n12). In other words, the substitute date X when X1 is abnormal is calculated using the above formula.

Similarly, substitute data X2' at the time of X2 abnormality is calculated using the following formula.

X2 = b q X+ −・・f
41 Here, when p and q in equation (3) or (4) are substituted for each other, data may vary due to differences in unique conditions at each location, such as installation location, lane, road width, etc. This is a correction coefficient used when correction is required.

The substitute data created by the above procedure is determined using the proportional coefficient stored immediately before the occurrence of the abnormality. Therefore, highly accurate substitute data that can respond to changes in conditions such as weather can be obtained, and traffic flow information can be processed smoothly in the traffic control system.

Next, an embodiment of the present invention for creating the above substitute data will be explained with reference to FIG. 4 and subsequent figures.

Fig. 4 is a block diagram of a traffic information collection device that implements the method of the present invention, Fig. 5 (1) is a diagram showing the storage contents of the storage unit of the traffic information collection device, and Fig. 6 is a block diagram of a traffic information collection device that implements the method of the present invention. It is a flowchart which shows operation|movement of the arithmetic processing of a collection device.

This traffic information collection device is comprised of a central control section 1 and a plurality of terminal sections 3 connected to the central control section 1 via communication lines 2.

The central control unit 1 consists of an arithmetic processing unit lO1 storage unit 11, a data juxtaposition and mutual conversion unit 12, and a modem unit 13, and each terminal unit 3 includes a modem unit 30, a data juxtaposition and mutual conversion unit 31,
It consists of a signal lamp control section 32 and a one-sensor control section 33. The arithmetic processing unit 1 o controls the central processing unit l, the storage unit 11 has a storage area necessary for creating substitute data, and the parallel mutual conversion unit 12.31 performs parallel processing handled within the central control unit or the terminal unit. Serial-to-parallel conversion or parallel-to-serial conversion is performed between the take and the serial take that transmits the communication line. Further, the signal lamp control section 32 controls the ON/OFF of the signal lamp 34 connected to the terminal device based on the command from the central control section 1. The sensor control unit 33 controls the operation of the vehicle sensor 35 connected to the terminal, and receives data regarding traffic volume.

The storage contents of the storage unit 11 are stored in the area AI shown in FIG.
, A2, etc., are the traffic volume, occupancy rate, and abnormality flags indicating the presence or absence of an abnormality for each sensor; B2. It includes the number of the installation point of each sensor, the number of the substitute point for the installation point of each sensor, and the proportionality constant stored in B3 and the like.

The abnormality flag is turned on to indicate the occurrence of an abnormality when the traffic volume at the installation point is outside the range between the capacity maximum traffic volume and the allowable minimum traffic volume based on information from the vehicle sensor 35.

The traffic information collection device having the above configuration processes the collected data from each terminal unit 3 according to the flowchart shown in FIG. For example, the traffic data at point No. n is -H
At the time of loading (n30), it is determined whether the state of the abnormality flag determined by the traffic volume at that time is on or not (n31). If the abnormality flag is off, normal processing is performed using the traffic data at that time. On the other hand, if the abnormality flag is on, the No.
After loading the data collected by the sensor at the point No., n, the data collected by the sensor at the substitute point No. n is loaded (n32 and n33). Hereinafter, using the data of the substitute point, 1) substitute data is created according to the procedure for determining substitute data shown in the flowcharts of FIGS. 1 and 2 in item 11 (n34). Normal traffic control processing continues on the created substitute data.

When creating the above substitute data, the proportional coefficient between the 2' points is calculated at regular intervals, so when a failure occurs, the
? The latest proportionality coefficient stored immediately before β can be used. Therefore, traffic control processing can be performed using the most accurate data that is closer to the actual state, and even if a sensor failure occurs, control to smooth the flow of traffic can be continued.

When a special situation such as an accident occurs on one terminal side, the traffic volume at that point often differs from normal, but even if the sensor at that point malfunctions at such time, the accident By selecting a point where the situation can be similar as a substitute point, and obtaining substitute data using the proportionality coefficient immediately before the failure according to the method for determining substitute data described above, the method is based on data that is closer to the situation of Actual 1. Can perform father-direction control.

[Brief explanation of the drawing]

1 and 2 are flowcharts showing the procedure of the substitute data determination method in the traffic information collection device according to the present invention, and FIG.
A flowchart for calculating the average traffic volume per minute, Figure 4 is a block diagram of a traffic information collection device that implements the method of the present invention, and Figures 5 (A) and (B) are the contents of the memory of the device. FIG. 6 is a flowchart showing the operation of the arithmetic processing section of the same device. 1...Central control unit, 2...Communication line, 3.
...terminal section, 34...signal lamp device, 35.
...Vehicle detector. Applicant Tateishi Electric Co., Ltd. Agent Patent Attorney Hisao Komori Figure 1 Figure 2 (゛1 Figure 4, Figure 5 (A) Sp: (B) Figure 6

Claims (1)

[Claims] +1+ The proportional coefficient between the traffic flow data collected by each vehicle sensor at two points with similar traffic flow is calculated and stored at regular intervals, and the vehicle sensor at one point collects the traffic flow data. A method for determining a substitute take for a traffic information collection device, in which the proportional coefficient stored at the time of the disabled IJ group is multiplied by the traffic flow take at the other point to obtain substitute data.