JPH0357767A - Automatic set type fuzzy controller for operation diagram - Google Patents

Abstract

PURPOSE:To achieve the proper operation purpose corresponding to the number of passengers by outputting the most proper operation diagram correcting time from a fuzzy rule for obtaining the proper operation diagram correction time for the input of the detection element which is detected by a detecting means and fuzzy-estimation controlling a train starting time adjusting means. CONSTITUTION:At each individual station, a waiting passenger quantity detector 12 counts the number X1 of waiting passengers for train at present, and a passenger increase/decrease tendency detector 13 grasps the increase/decrease tendency X2, and a lapse time detector 14 for the preceding train counts the lapse time X3 after the start of the preceeding train. A fuzzy estimation engine (FIE) 17 sets the above- described detection elements X1 - X3 as condition part, and sets a fuzzy rule for setting the correction time as the new operation diagram which is set in correspondence as conclusion part Y1, and the most proper operation diagram correction time Z1 is outputted on the basis of the fuzzy rule from the detection elements for the above- described detectors 12 - 14. An operation diagram instruction board 16 is fuzzy- estimation-controlled by the correction time Z1 so that the new operation diagram corresponding the present state is obtained.

Description

[Detailed description of the invention] (a) Industrial application field This invention is applicable to buses, trains, etc. that regularly operate on a certain route.
The present invention relates to a fuzzy control device for automatically setting an operation schedule that can switch various operation schedules for ships, etc. to a new operation schedule suitable for the current situation.

・(B) Conventional technology In general, this type of service schedule collects various statistics on the number of passengers during holidays, weekdays, and these times, and then, according to these statistical values, operates a service schedule that can perform normal operation functions. Deciding on the diamond.

However, since flight schedules based on such statistical values are usually fixed for regular flights, the number of passengers may temporarily increase during irregular events or during rainy weather operations. At times, passengers were forced to backlog.

(c) Problems to be solved by the invention This invention provides a service schedule that can automatically switch to a service schedule that corresponds to a temporary increase in the number of passengers and achieve an appropriate operation purpose corresponding to the number of passengers. The purpose is to provide an automatic setting fuzzy control device.

(2) Means for Solving the Problems This invention provides a vehicle departure time adjustment means for adjusting the departure time of vehicles and setting a new service schedule, the number of passengers waiting at each station, and the time of the number of passengers waiting. A detection means that detects the change value of the change value and the elapsed time since the departure of the previous flight, and a detection means that detects the most reasonable operation timetable based on fuzzy rules that contain the appropriate operation timetable correction time based on the input of the detection elements detected by the above detection means. The present invention is a fuzzy control device for automatically setting a schedule, comprising a fuzzy inference control means for outputting a corrected time and controlling the vehicle departure time adjustment means by fuzzy inference.

(e) Effect of the Invention According to this invention, when setting a new train schedule in accordance with the current situation, the detection means detects the number of passengers waiting at each station, the temporal change value of the number of passengers waiting, and the departure of the previous flight. Using these detected elements as the antecedent part, the fuzzy inference control means outputs the most appropriate schedule modification time based on fuzzy rules to find the optimal consequent part, and this output The vehicle departure time adjustment means is controlled by fuzzy inference.

(f) Effects of the invention As a result, the existing service schedule can be switched to a new service schedule that matches the current usage conditions, and the new service schedule can be used to temporarily reduce the number of passengers due to events, rainy weather, etc. The system will provide a schedule function that responds to the number of passengers and the degree of usage, which can efficiently handle the increase in passenger numbers.

(g) Examples An embodiment of the present invention will be described in detail below based on the drawings.

The drawing shows a fuzzy control device for automatically setting a train schedule applied to a train, and FIG. 1 shows a fuzzy inference control circuit of this device. , a waiting passenger increase/decrease trend detector 13 that detects the temporal change value of the number of waiting passengers, and a previous flight elapsed time detector 14 that detects the elapsed time since the departure of the previous flight, and detection signals stored in the ROM 15. According to the programmed program, a new schedule is output to the schedule display board 16 via a fuzzy inference engine (hereinafter referred to as FIE) 17, and necessary control data is stored in the RAM 18.

The above-mentioned waiting passenger number detector 12 counts the number of waiting passengers at the station, for example, by installing a counter at the entrance ticket gate of the station and counting passengers.

The waiting passenger increase/decrease trend detector 13 uses a differentiator or the like to detect a gradual increase or decrease in the number of passengers.

These detectors 12 and 13 are installed at each station to ascertain the current number of passengers waiting, and in particular to accurately detect temporary increases in the number of passengers due to events, rainy weather, etc.

Further, the previous flight elapsed time detector 14 measures the elapsed time after the previous flight departs, using, for example, a timer installed at the starting station of the train.

The above-mentioned FIE 17 uses the antecedent parts XI-X3 (condition part ), a fuzzy rule is set with the consequent part Yl (conclusion part) being the revised time as a new operation schedule set corresponding to the detection element of the current operation status, and each of the above-mentioned detectors 12 to 12 is set. Based on the above-mentioned fuzzy rules, the most appropriate service schedule modification time Zl is outputted from the 14 detection elements, and the service schedule instruction panel 16 is controlled by fuzzy inference so that the new service schedule conforms to the current situation at this modification time z1.

The above-mentioned fuzzy rule is set according to a predetermined fuzzy rule table 19, and corresponds to the number of waiting passengers XI, the increasing/decreasing trend value of the number of waiting passengers X2, and the elapsed time after departure of the previous flight X3. Determine an appropriate value in advance, compare this appropriate value with the detected facts, and draw the most appropriate conclusion based on these facts as shown in Figures 2 (a) to (c) (antecedent part). It is set by a membership function using fuzzy variables as shown in Figure 3 (consequent part).

In this membership function, the fuzzy set degree (
Each label (fuzzy value) indicating the grade) is displayed by combining the direction display group of {positive direction P, reference Z, negative direction N} and the degree display group of {large L, medium M, small S}. The membership function that shows the degree of the number of waiting customers in Figure 2 (a) is as follows: Z: There are almost no waiting customers ps2 The number of waiting customers is a little large PM: The number of waiting customers is large PL: The number of waiting customers is quite large ing.

The membership functions showing the degree of increase/decrease in the number of waiting customers in Figure 2 (mouth) are as follows: PS: The number of waiting customers tends to increase slightly.PM: The number of waiting customers tends to decrease.PL: The number of waiting customers tends to increase considerably. Yes Z; Standard NS: The number of waiting customers tends to decrease slightly. NM: The number of waiting customers tends to decrease. NL: The number of waiting customers tends to decrease considerably.

The membership function showing the degree of time elapsed for the previous flight in Figure 2 (c) is: Z: No time has passed since the previous flight departed PS: A little time has passed since the previous flight departed PM: The previous flight departed PL: A considerable amount of time has passed since the departure of the previous flight.

The membership function showing the output degree of the new service schedule in Figure 3 is as follows: 2: The next flight will depart immediately PS: The next flight will depart after a while PM: The next flight will depart after a certain amount of time PL Quadratic This indicates that the flight will depart after a long period of time.

Furthermore, as an example of setting one fuzzy rule table mentioned above, as shown in FIG. 1, {Rule 1} If the number of waiting customers tends to increase slightly (X2
= PS), if the elapsed time X3 has not passed since the departure of the previous flight (X3 = Z), the number of passengers waiting at the station is small and there is no need for frequent train operation, so at that time FIE
17 outputs a setting to the schedule display board 16 so that the next flight will depart much later (Yl = PL).

i f Xl = Z X2 = PS X3 = Z then Yl = PL {Rule 2} If the number of waiting customers
= PM), if a certain amount of elapsed time x3 has passed since the departure of the previous train (X3 = PM), the number of passengers waiting at the station is increasing, and the need for train operation will gradually increase, so FIE17 will operate at that time. A setting is output to the timetable control board 16 so that the next flight will depart after a certain period of time (Yl
= PM).

if XI-PS X2 = PM X3 = PM then Yl = PM (Rule 3) If the number of waiting customers
= PM), if the elapsed time X3 has passed since the departure of the previous flight (X3 = PL), the number of passengers waiting at the station is increasing and the need for train operation is increasing, so at that time FIE17 Outputs a setting on the operation timetable instruction panel 16 so that the next flight will depart a little later (YI=PS
).

if X1 = PS X2 = PM X3 = PL then Yl = PS {Rule 4} If the number of waiting customers
X2 = PL), if the elapsed time X3 after the departure of the previous flight has passed (X3 = PL), the number of passengers waiting at the station is quite large, and the need for train operation is extremely high.
At that time, the FIE 17 outputs a setting to the schedule controller 6 so that the next flight departs immediately (Yl = Z).

if Xl=PS X2=PL X3=PL then Y1=Z In this way, as shown in rules 1.2, 3.4... Rules are set by associating the consequent of then... with the departure conditions that are optimal for the departure time of .

The control operation of the automatic schedule setting fuzzy control device configured as described above will be described next.

Now, at each station, the number of waiting passengers detector 12 counts the current number of passengers waiting for the train
4 measures the elapsed time X3 after the departure of the previous flight, and based on these detection elements, the FIE 17 outputs the fuzzy-inferred flight schedule correction time Zl to the flight schedule display panel 16 so that the flight schedule is optimal. , set a schedule suitable for customers! , it is possible to deal with it.

As mentioned above, the most reasonable schedule modification time corresponding to the detected factors is output, the existing schedule is set to a new schedule that matches the current situation, and the event is held by operating on this new schedule. The system will provide a service schedule function that adapts to the level of use, allowing for efficient handling of temporary increases in the number of passengers due to weather conditions or rainy weather.

In the correspondence between this invention and the structure of the above-described embodiment, the vehicle departure time adjusting means of the present invention corresponds to the operation schedule indication board 16 of the embodiment, and the detection means hereinafter similarly corresponds to the number of waiting passengers detector. 12, waiting passenger increase/decrease trend detector 13, and previous flight elapsed time detector 14, the fuzzy inference control means includes a fuzzy inference engine (FI
E) Corresponding to 17, the present invention is not limited to the structure of the above-described embodiment.

[Brief explanation of drawings]

The drawings show an embodiment of the present invention. Fig. 1 is a fuzzy control block diagram for automatic setting of the bus schedule, Fig. 2 (a) is a membership function diagram showing the degree of the number of waiting passengers, and Fig. 2 (opening) is a A membership function diagram showing the degree of increase/decrease in the number of waiting passengers, Figure 2 (C) is a membership function diagram showing the degree of time elapsed for the previous flight, and Figure 3 is a membership function diagram showing the degree of output of the new service schedule. be. 12... Waiting customer number detector 13... Waiting customer increase/decrease trend detector 14... Previous flight elapsed time detector 15... ROM1
6...Operation schedule instruction board 17...Fuzzy inference engine (FIE) Z1.
・・Revised time schedule diagram 2

Claims (1)

[Claims] (1) A vehicle departure time adjustment means that adjusts the departure time of vehicles and sets a new service schedule, the number of passengers waiting at each station, the temporal change in the number of passengers waiting, and the elapsed time since the departure of the previous flight. and a detection means for detecting the above-mentioned vehicle departure time by outputting the most appropriate operation timetable adjustment time from a fuzzy rule containing an appropriate operation timetable adjustment time in response to the input of the detection element detected by the detection means. A fuzzy control device for automatically setting a bus schedule, comprising a fuzzy inference control means for controlling the means by fuzzy inference.