JP3225203B2 - Parking lot use situation prediction device, parking lot use situation measurement device, and parking lot guidance device using these - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a parking lot use prediction device for predicting the use of a parking lot whose entrance is connected to a main line through an entrance, a parking lot guidance device using the same, and a parking lot guide device using the same. The present invention relates to a parking lot use situation measuring device that can be used in a prediction device or the like or independently, and a parking lot guiding device using the same.

[0002]

2. Description of the Related Art Conventionally, a parking lot whose entrance is connected to a main line via an entrance, such as a parking area or a service area of an expressway (for convenience of explanation, this parking lot is called a "parking area type parking lot"). A parking lot guidance device is provided which displays a guidance display (for example, full, congested, empty, etc.) on a guidance display device provided on the main line according to the use situation of the parking lot. It seeks to provide convenience for passengers and realize smooth traffic.

[0003] In the conventional parking area guide device for a parking area type parking lot, the current number of parked parking lots is obtained by some means, and the number of currently parked parking lots and the number of vehicles that can be accommodated in the parking lot are determined. The usage status (for example, parking rate) is determined based on the information, and a guidance display corresponding to the determined usage status is displayed on the guidance display device.

[0004] However, the length of the entrance connected to the main line (that is, the distance from the main line to the entrance of the parking lot) is 1 k.
m, it may take a considerable amount of time for the user traveling on the main line to reach the entrance of the parking lot after seeing the guidance display indicating the current usage status. There is also. In this case, in the conventional parking lot guidance device, for example, even if "vacancy" is displayed on the guidance display device, when it reaches the parking lot thereafter, it is in a state where it is full and cannot be parked. Even if “full” is displayed on the device, the parking lot may be vacant thereafter. For this reason, the use efficiency of the parking lot has been reduced. In addition, there is a possibility that traffic congestion occurs at the entrance and the queue of vehicles waiting for parking extends to the main line, thereby hindering the smooth flow of traffic on the main line.

[0005] By the way, conventionally, the use status of each parking lot dispersed in an urban area or the like (for convenience of explanation, this parking lot is referred to as a "city area dispersed parking lot") is described by a plurality of guides installed on each main road. 2. Description of the Related Art There is provided a parking lot guidance device that displays on a display device and provides parking lot information to a user who is searching for a parking lot. As such a parking lot guidance device for a decentralized parking lot in an urban area, a travel time (travel time) from an empirically predetermined guidance display device to the parking lot in consideration of various conditions such as a day of the week and a time. ), A parking lot guidance device has been proposed which predicts the number of parked vehicles at the time when the user arrives at the parking lot, and provides a guidance display based on the predicted number of parked vehicles (Japanese Patent Laid-Open No. Hei 4 (1994)). -8089
No. 9). According to the conventional parking lot guidance device for a distributed parking lot in an urban area, the number of parked vehicles at the time when the user arrives at the parking lot is predicted, so that the use efficiency of the parking lot can be improved.

[0006]

Therefore, it is conceivable to provide a parking area guidance device for a parking area type parking lot which employs the prediction method in the conventional parking area guidance device for a distributed parking lot in an urban area. . In this parking area guidance device for a parking area type parking lot, the user can determine the travel time from the guidance display device empirically predetermined in consideration of various conditions such as the day of the week, time and the like to the parking lot. The number of parked vehicles at the time of reaching the parking lot entrance is predicted, and guidance display is performed based on the predicted number of parked vehicles.

[0007] Therefore, in the parking lot guide device for a parking area type parking lot, the use efficiency of the parking lot can be enhanced similarly to the above-mentioned conventional parking lot guide device for an urban distributed parking lot.

However, in this parking area guidance device for a parking area type parking lot, the number of parked vehicles at the time when the user reaches the entrance of the parking lot is predicted based on an empirically predetermined travel time. Therefore, it is unavoidable that the actual travel time may deviate from the predetermined travel time empirically for some reasons. Would. Then, when the prediction accuracy of the number of parked vehicles is significantly reduced, the use efficiency of the parking lot is reduced and the queue of vehicles waiting for parking extends to the main line. If the actual travel time does not greatly deviate from the predetermined travel time, the use efficiency of the parking lot hardly decreases as a whole, and there is no problem with the use efficiency of the parking lot. However, even if the actual travel time is less frequently deviated from a predetermined travel time, and the frequency of extension of the queue waiting to the main line is less frequent, it is preferable in terms of traffic safety that such a situation occurs. Absent.

As described above, even if the above-described conventional method for predicting a parking lot guidance device for an urban-area distributed parking lot is directly applied to a parking lot guidance device for a parking area type parking lot,
A problem specific to the parking lot guidance device for the parking area type parking lot occurs.

[0010] The present invention has been made in view of the above circumstances, and can improve the prediction accuracy of the number of parked vehicles, can improve the use efficiency of a parking lot, and can improve the efficiency of the parking lot. It is an object of the present invention to provide a parking lot use situation prediction device for a parking area type parking lot which can prevent the occurrence of extension to a parking lot, and a parking lot guidance device using the same.

By the way, in the parking lot guide device for various parking lots other than the parking area type parking lot, regardless of whether or not to predict, the current (ie,
It is indispensable to measure the actual use situation (for example, the parking rate) instead of the prediction, and it is desired to accurately measure the current use situation of the parking lot.

Conventionally, the measurement of the current (ie, not predicted) actual use of a parking lot has been performed as follows. That is, a sensor for detecting the passage of a vehicle is installed at each of the entrance and the exit of the parking lot, and the number of vehicles currently parked in the parking lot is set to “1” each time a detection signal is obtained from the entrance sensor. And subtracting “1” each time a detection signal is obtained from the sensor at the exit, thereby obtaining the current number of parked vehicles in the parking lot. However, in this method, when an error such as the sensor does not respond occurs, there is no method for correcting the error,
Further, the error is accumulated with the passage of time, and the current use status of the parking lot cannot be accurately measured.

The present invention has been made in view of the above circumstances, and in addition to the above-described objects, a parking lot use situation measuring device capable of accurately measuring the current use situation of a parking lot, and a parking lot guide using the same. It is also an object to provide a device.

[0014]

According to a first aspect of the present invention, there is provided a parking lot use state predicting apparatus for detecting the use state of a parking lot whose entrance is connected to a main line through an entrance. An entrance data collection apparatus for predicting a parking lot use situation, which collects entrance data including ID information of a vehicle arriving at an entrance of the parking lot and entrance arrival time at which the vehicle arrives at the entrance. Means, exit data collecting means for collecting exit data including the ID information of the vehicle that has reached the exit of the parking lot and the exit arrival time that is the time at which the vehicle has reached the exit, Main line data collection means for collecting main line data including the ID information of the arriving vehicle and the main line arrival time which is the time at which the vehicle arrived at the predetermined location; and obtaining the main line traffic volume which is the traffic volume on the main line Linear traffic volume obtaining means, parking number obtaining means for obtaining the current number of vehicles that is the current number of vehicles in the parking lot, the entrance data, the exit data, the main line data, the main line traffic amount and the current parking Prediction means for predicting, based on the number of vehicles, the number of parked vehicles after a lapse of time from the predetermined location on the main line to the entrance of the parking lot.

According to the first aspect, the entrance data, the exit data, the main line data, the main line traffic volume, and the current number of parked vehicles are obtained, and based on these, the vehicle is moved from the predetermined location on the main line. Predict the number of parked vehicles after a lapse of time to reach the entrance of the parking lot (that is, travel time). Therefore, from the entrance data and the main line data, it is possible to sequentially obtain the actual travel time for the vehicle to reach the entrance of the parking lot from the predetermined location (for example, the position of the guidance display device) of the main line, for example, The number of parked vehicles can be predicted in consideration of the actual travel time obtained immediately before. For this reason, according to the first aspect, even if a situation occurs in which the actual travel time greatly deviates from the travel time that can be empirically predetermined in some circumstances,
The number of parked vehicles can be predicted according to the actual travel time, and the prediction accuracy is significantly improved as compared with the related art.

According to a second aspect of the present invention, there is provided a parking lot use situation predicting apparatus according to the first aspect, wherein the entrance data collecting means, the exit data collecting means, and the main line data collecting means are provided. Includes a vehicle registration number recognition device that recognizes a vehicle registration number as the ID information.

According to the second aspect, since the vehicle registration number of the license plate which the existing vehicle originally has is obtained as the ID information, a readable information medium needs to be specially attached to the vehicle. There is no convenience. In addition,
Whether the vehicle is a large vehicle or a small vehicle can be distinguished from the vehicle registration number. However, in the first aspect, the ID information information is not limited to the vehicle registration number of the license plate, but is read by an arbitrary reading method (for example, an optical method, an electromagnetic wave method, an ultrasonic method, or the like). An information medium representing possible vehicle identification information may be attached to the vehicle in advance.

According to a third aspect of the present invention, there is provided a parking lot use situation estimating apparatus according to the first or second aspect, wherein the estimating means is based on the main line data and the entrance data. A stopping rate calculating means for sequentially obtaining a stopping rate which is a ratio of the number of vehicles stopping at the parking lot to the number of vehicles on the main line; and Travel time calculating means for sequentially obtaining a travel time which is a time required to reach the entrance of the parking lot from a predetermined location; and, based on the entrance data and the exit data, a use time which is a time during which the vehicle stays in the parking lot. A vehicle passing through the entrance of the parking lot during the travel time, based on the first use time calculating means sequentially obtained, and the traffic on the main line, the drop-in rate, and the travel time. Based on the entrance data, the exit data, the travel time, and the use time, passing through the exit of the parking lot during the travel time, based on the entrance data, the exit data, the travel time, and the use time. A departure number prediction unit that obtains a predicted departure number that is a predicted number of vehicles to be parked, based on the current parking number, the predicted departure number and the predicted departure number, and Prediction means for predicting the number of parked vehicles. In addition, the first use time calculation means may be partially or entirely used as the second use time calculation means.

The third embodiment is a specific example of the first and second embodiments, and the prediction of the number of parked vehicles after the travel time has elapsed is as follows:
Specifically, for example, as in the third aspect, the stop-by rate, travel time, and use time are calculated, and the predicted number of vehicles entering and leaving the vehicle are calculated using these values. By estimating

According to a fourth aspect of the present invention, there is provided a parking lot use situation predicting apparatus according to any one of the first to third aspects, wherein the parking number acquisition means comprises: And a parking number calculating means for obtaining the current parking number based on the exit data.

According to the fourth aspect, since the current number of parked vehicles is obtained by calculation from the entrance data and the exit data, the entrance data collection means and the exit data collection means serve as a sensor of the parking number acquisition means. It is economical because it is shared. However, in the first to third aspects, the configuration of the parking number acquisition means is not limited to such a configuration.

According to a fifth aspect of the present invention, there is provided a parking lot use situation estimating apparatus according to the fourth aspect, wherein the number-of-parked-number calculating means comprises the exit information among the ID information of the entrance data. The number corresponding to the number of pieces of ID information whose elapsed time from the entrance arrival time corresponding to the ID information among the ID information that does not match the ID information of the data is within the determination reference time is determined as the current number of parked vehicles. Things.

According to the fifth aspect, the ID information of the entrance data whose elapsed time is within the determination reference time is used as the basis for calculating the current number of parked vehicles, and the entrance data whose elapsed time exceeds the determination reference time is used. ID information is not the basis for calculating the current number of parked vehicles. Therefore, due to the data collection accuracy of the data collection means, when a certain vehicle leaves the parking lot after being parked in the parking lot, the ID information of the vehicle is acquired at the entrance of the parking lot and the exit information of the parking lot is obtained. Therefore, even if a case where the information is not acquired occurs, the error due to this is not accumulated, but is canceled after the lapse of the determination reference time. For this reason, according to the parking lot use situation prediction device according to the fifth aspect, the measurement accuracy of the current number of parked vehicles is enhanced, and the prediction accuracy of the number of parked vehicles is further enhanced.

A parking lot use situation prediction device according to a sixth aspect of the present invention is the parking lot use situation prediction device according to the fifth aspect, wherein the determination reference time is a predetermined time.

In a parking lot use situation predicting device according to a seventh aspect of the present invention, in the parking lot use situation predicting device according to the fifth aspect, the parking number calculation means is based on the entrance data and the exit data. A second use time calculating means for sequentially obtaining a use time, which is a time during which the vehicle stays in the parking lot, and sequentially determining the determination reference time based on the use time obtained by the second use time calculation means. Determining reference time calculating means for determining the current number of parked vehicles based on the latest determination reference time obtained by the determining reference time calculating means.

According to the seventh aspect, compared with the case where the judgment reference time is set to the predetermined time as in the sixth aspect,
Since the determination reference time is dynamically changed according to the actual use time, the measurement accuracy of the current number of parked vehicles is further improved, and the accuracy of the prediction of the number of parked vehicles is further improved.

According to an eighth aspect of the present invention, there is provided the parking lot use situation predicting apparatus according to the seventh aspect, wherein the determination reference time calculating means includes the second reference time calculating means.
Based on the distribution of a predetermined number of usage times from new ones obtained by the usage time calculating means or the distribution of usage times obtained within the predetermined period up to the present time by the second usage time calculating means, A value obtained by multiplying the average value of the use time by a predetermined coefficient is obtained as the determination reference time.

According to a ninth aspect of the present invention, there is provided a parking lot use situation estimating apparatus according to the seventh aspect, wherein the judgment reference time calculating means includes the second reference time calculating means.
Based on the distribution of a predetermined number of usage times from new ones obtained by the usage time calculating means or the distribution of usage times obtained within the predetermined period up to the present time by the second usage time calculating means, The time at which a predetermined number of vehicles have left the vehicle is determined as the determination reference time.

A parking lot use situation predicting apparatus according to a tenth aspect of the present invention is the parking lot use situation predicting apparatus according to the seventh aspect, wherein the determination reference time calculating means is provided by the second use time calculating means. Based on the distribution of a predetermined number of use times from the obtained new ones or the distribution of the use times obtained by the second use time calculation means within a predetermined period up to the present, the variance value of the use times Is multiplied by a predetermined coefficient to obtain the reference time.

In a parking lot use situation predicting device according to an eleventh aspect of the present invention, in the parking lot use situation predicting device according to the seventh aspect, the judgment reference time calculating means is provided by the second use time calculating means. Based on the distribution of a predetermined number of usage times from the obtained new ones or the distribution of usage times obtained within the predetermined period up to the present time by the second usage time calculating means, (1) the usage time At least two of: a value obtained by multiplying the average value of the vehicle by a predetermined coefficient, (2) a time when a predetermined number of vehicles have departed, and (3) a value obtained by multiplying a variance value of the use time by a predetermined coefficient. The one selected by the command is obtained as the determination reference time.

The eighth to eleventh aspects are specific examples of the seventh aspect. The eleventh aspect is one of the methods of obtaining the determination reference time according to the eighth to tenth aspects.
A combination of more than one kind and switching between them according to a command. According to the method of obtaining the determination reference time according to the eighth to tenth aspects, the influence on the measurement accuracy of the current number of parked vehicles differs, so that the eleventh method is used.
If the command is given by a human operation or automatically according to the situation and the method of obtaining the determination reference time is switched as in the aspect of the above, the measurement accuracy of the current number of parked vehicles is further increased, and the number of parked vehicles is further increased. The accuracy of the prediction is further improved.

A parking lot use situation prediction device according to a twelfth aspect of the present invention is the parking lot use situation prediction device according to any one of the first to eleventh aspects, wherein The apparatus further includes a determination unit that determines a use state of the parking lot based on the number of vehicles that can be accommodated in the parking lot.

According to a thirteenth aspect of the present invention, there is provided a parking lot guidance device according to the twelfth aspect, and a guidance display device for displaying guidance according to the utilization status determined by the determination means. And a guidance display device installed on the main line.

According to the thirteenth aspect, the number of parked vehicles after a lapse of the travel time required for the vehicle to reach the entrance of the parking lot from the predetermined location on the main line is predicted, and the guidance display is performed based on the predicted number of parked vehicles. , The use efficiency of the parking lot can be improved. According to the thirteenth aspect, the first
As described above, even if the actual travel time greatly deviates from a travel time that can be empirically determined in advance for some reason, the number of parked vehicles can be tracked according to the actual travel time. , It is possible not only to improve the efficiency of use of the parking lot, but also to effectively prevent the extension of the queue waiting for the queue to the main line.

According to a fourteenth aspect of the present invention, there is provided a parking lot use situation predicting apparatus according to any one of the first to eleventh aspects, wherein the entrance data collecting means and the exit data collecting means are provided. And the ID information collected by the main line data collection unit includes information for distinguishing whether the vehicle is a large vehicle or a small vehicle, and the parking number acquisition unit obtains the current parking number for each large vehicle and small vehicle. In addition, the prediction means predicts the number of parked vehicles for each of a large vehicle and a small vehicle.

The parking lot use situation predicting device according to a fifteenth aspect of the present invention is the parking lot use situation predicting device according to the fourteenth aspect, wherein the number of parked vehicles for each of the large and small vehicles predicted by the predicting means and The apparatus further includes a determination unit that determines the use status of the parking lot for each of the large and small vehicles based on the number of vehicles that can be accommodated for each of the large and small vehicles in the parking lot.

According to a sixteenth aspect of the present invention, there is provided a parking lot use situation estimating apparatus according to the fifteenth aspect, wherein the parking lot use situation estimating apparatus according to the fifteenth aspect is used in accordance with the use situation of each of the large and small vehicles determined by the determining means. And a guidance display device for displaying the guidance display for each of the large and small vehicles, the guidance display device being installed on the main line.

In the fourteenth to sixteenth aspects, since the number of parked vehicles is predicted for each large vehicle and small vehicle, the parking lot is divided into a parking space for large vehicles and a parking space for small vehicles. Especially effective.

A parking lot use condition measuring device according to a seventeenth aspect of the present invention is a parking lot use condition measuring device for measuring a current use condition of a parking lot, wherein the ID of a vehicle reaching the entrance of the parking lot is measured. An entrance data collection means for collecting entrance data including information and an entrance arrival time which is a time when the vehicle arrives at the entrance; an ID information of the vehicle which has arrived at the exit of the parking lot and the vehicle reaching the exit; Exit data collecting means for collecting exit data including an exit arrival time which is the time when the vehicle has been parked, and the number of parked vehicles which obtains the current number of parked vehicles which is the current number of vehicles in the parking lot based on the entrance data and the exit data. Computing means, the parking number computing means corresponding to the ID information of the ID information of the entrance data that does not match the ID information of the exit data. The number elapsed time from the inlet arrival time corresponds to the number of ID information is within the reference time, the and requests as the current number of parked vehicles. The parking lot is not limited to a parking area type parking lot, but may be any parking lot.

According to the seventeenth aspect, the ID information of the entrance data whose elapsed time is within the determination reference time is used as the basis for calculating the current number of parked vehicles, and the entrance data whose elapsed time exceeds the determination reference time is used. ID information is not the basis for calculating the current number of parked vehicles. Therefore, due to the data collection accuracy of the data collection means, when a certain vehicle leaves the parking lot after parking in the parking lot, the ID of the vehicle is
Even if the information is acquired at the entrance of the parking lot and not acquired at the exit of the parking lot, the error due to this is not accumulated but canceled after the lapse of the determination reference time. For this reason, according to the parking lot use situation measuring device according to the seventeenth aspect, the measurement accuracy of the current number of parked vehicles is higher than in the past.

A parking lot use situation measuring device according to an eighteenth aspect of the present invention is the parking lot use situation measuring device according to the seventeenth aspect, wherein the entrance data collecting means and the exit data collecting means are provided as the ID information. It includes a vehicle registration number recognition device that recognizes a vehicle registration number.

According to the eighteenth aspect, since the vehicle registration number of the license plate of the existing vehicle is obtained as the ID information, a readable information medium must be specially attached to the vehicle. There is no convenience. In addition, it is also possible to distinguish whether the vehicle is a large vehicle or a small vehicle from the vehicle registration number. However, the first
In the seventh aspect, the ID information information is not limited to the vehicle registration number on the license plate, but is a vehicle identification that can be read by an arbitrary reading method (for example, an optical method, an electromagnetic wave method, an ultrasonic method, or the like). An information medium representing information may be attached to the vehicle in advance.

A parking lot use situation measuring device according to a nineteenth aspect of the present invention is the parking lot use situation measuring device according to the seventeenth or eighteenth aspect, wherein the determination reference time is a predetermined time.

A parking lot use situation measuring device according to a twentieth aspect of the present invention is the parking lot use situation measuring device according to the seventeenth or eighteenth aspect, wherein the parking number calculating means comprises the entrance data and the exit data. A use time calculating means for sequentially obtaining a use time that is a time during which the vehicle stays in the parking lot, and a determination criterion for sequentially obtaining the determination reference time based on the use time obtained by the use time calculation means And a time calculating means for calculating the current number of parked vehicles based on the latest judgment reference time obtained by the judgment reference time calculating means.

According to the twentieth aspect, as compared with the case where the reference time is set to the predetermined time as in the nineteenth aspect, the reference time is dynamically varied according to the actual use time. Therefore, the measurement accuracy of the current number of parked vehicles is further improved.

A parking lot use situation measuring device according to a twenty-first aspect of the present invention is the parking lot use situation measuring device according to the twentieth aspect, wherein the determination reference time calculating means is obtained by the use time calculating means. Based on the distribution of a predetermined number of use times from the latest one or the distribution of use times obtained within the predetermined period up to the present time by the use time calculation means, the average value of the use times was multiplied by a predetermined coefficient. The value is obtained as the determination reference time.

A parking lot use situation measuring device according to a twenty-second aspect of the present invention is the parking lot use situation measuring device according to the twentieth aspect, wherein the judgment reference time calculating means is obtained by the use time calculating means. Based on the distribution of a predetermined number of use times from the latest one or the use time distribution obtained by the use time calculation means within a predetermined period up to the present, the time at which a predetermined percentage of vehicles have departed To
It is determined as the determination reference time.

A parking lot use situation measuring device according to a twenty-third aspect of the present invention is the parking lot use situation measuring device according to the twentieth aspect, wherein the judgment reference time calculating means is obtained by the use time calculating means. Based on the distribution of a predetermined number of usage times from the latest one or the distribution of usage times obtained within the predetermined period up to the present time by the usage time calculating means, the variance value of the usage times is multiplied by a predetermined coefficient. The value is obtained as the determination reference time.

The parking lot use situation measuring device according to a twenty-fourth aspect of the present invention is the parking lot use situation measuring device according to the twentieth aspect, wherein the judgment reference time calculating means is obtained by the use time calculating means. Based on the distribution of a predetermined number of usage times from the latest one or the distribution of usage times obtained within the predetermined period up to the present time by the usage time calculating means, (1) a predetermined coefficient is added to the average value of the usage times. Selected from at least two of the following values: (2) a time when a predetermined number of vehicles have departed, and (3) a value obtained by multiplying a variance value of the use time by a predetermined coefficient. One is obtained as the determination reference time.

In the twenty-first to twenty-fourth aspects, the second aspect
It is a specific example of the 0 aspect. The twenty-fourth aspect is a combination of two or more of the determination reference time obtaining methods according to the twenty-first to twenty-third aspects, and switching between them in accordance with a command. According to the method of obtaining the determination reference time according to the twenty-first to twenty-third aspects, the influence on the measurement accuracy of the current number of parked vehicles differs, and accordingly, as in the twenty-fourth aspect, the number of persons depends on the situation. By switching the method of determining the reference time by giving the above-mentioned command or automatically, the measurement accuracy of the current number of parked vehicles is further improved.

A parking lot use condition measuring device according to a twenty-fifth aspect of the present invention is the parking lot use condition measuring device according to any one of the seventeenth to twenty-fourth aspects, wherein the current number of parking lots obtained by the parking number calculating means is obtained. The information processing apparatus further includes a determination unit configured to determine a current usage status of the parking lot based on the number of parked cars and the number of vehicles that can be accommodated in the parking lot.

A parking lot guidance device according to a twenty-sixth aspect of the present invention includes a parking lot usage status measuring device according to the twenty-fifth aspect, and guidance for displaying a guidance according to the current usage status determined by the determination means. And a display device.

The parking lot guide device according to the twenty-sixth aspect is particularly effective when the guide display device is installed relatively close to the entrance of the parking lot. Since the current usage status of the parking lot is accurately displayed on the guidance display device, the usage efficiency of the parking lot is improved.

A parking lot use condition measuring device according to a twenty-seventh aspect of the present invention is the parking lot use condition measuring device according to any one of the seventeenth to twenty-fourth aspects, wherein the entrance data collecting means and the exit data collecting means. Collects the ID information including information for distinguishing whether the vehicle is a large vehicle or a small vehicle, and the parking number calculation means obtains the current number of parked vehicles for each of the large vehicle and the small vehicle.

The parking lot use condition measuring device according to a twenty-eighth aspect of the present invention is the parking lot use condition measuring device according to the twenty-seventh aspect, wherein the current number of large vehicles and small vehicles determined by the number-of-parked-number calculating means is different from the present invention. The vehicle further includes a determination unit that determines the current usage status of the parking lot for each of the large vehicles and the small vehicles based on the number of parked vehicles and the number of vehicles that can be accommodated for each of the large vehicles and the small vehicles in the parking lot.

A parking lot guidance device according to a twenty-ninth aspect of the present invention is characterized in that the parking lot usage status measuring device according to the twenty-eighth aspect and the current usage status of each of the large and small vehicles determined by the determination means. And a guidance display device for performing guidance display for each of large vehicles and small vehicles.

In the twenty-seventh to twenty-ninth aspects, since the current number of parked vehicles is obtained for each large car and small car, the parking lot is divided into a large car parking space and a small car parking space. It is particularly effective.

[0058]

BEST MODE FOR CARRYING OUT THE INVENTION

(First Embodiment) Hereinafter, a parking lot guidance device according to a first embodiment of the present invention will be described with reference to FIGS. The parking lot guidance device according to the present embodiment has the parking lot use situation prediction device according to one embodiment of the present invention.

FIG. 1 is a block diagram showing a schematic configuration of a parking lot guide device according to the present embodiment. FIG. 2 is a schematic layout diagram schematically showing an arrangement of the sensor unit of the parking lot guidance device according to the present embodiment. FIG. 3 is a functional block diagram showing the data processing device 15 of the parking lot guidance device according to the present embodiment. FIG. 4 is an operation explanatory view of the parking lot guide device according to the present embodiment.

The parking lot guide device according to the present embodiment
As shown in FIG. 2, the apparatus guides a parking lot 1 such as a parking area or a service area such as a highway where an entrance 1 a is connected to a main line 3 via an entrance 2. In FIG.
1b is an exit of the parking lot 1. The arrow in FIG.
Indicates the traveling direction of the vehicle. The entrance 2 may exceed 1 km. At the position of the entrance 2 connecting portion of the main line 3 (position C in FIG. 2), a guide plate (not shown, which is simply a plate on which characters and symbols are described) for guiding the parking lot 1 is installed. A similar guide plate (not shown) is also provided at a predetermined position D in front of the position C in FIG.

As shown in FIG. 1, the parking lot guide device according to the present embodiment includes an entrance data collection unit 11, an exit data collection unit 12, a main line data collection unit 13, and a main line traffic detector 14. , A data processing unit 15 and a guidance display device 16.

The entrance data collection unit 11 stores the vehicle registration number of the license plate as ID information of the vehicle that has reached the entrance 1a of the parking lot 1, and the entrance arrival time (ie, the time when the vehicle has arrived at the entrance 1a). (Entrance time). In the present embodiment, the entrance data collection unit 11 includes an infrared camera 21 that outputs an image signal.
, A vehicle sensor 22, a vehicle determiner 23, and a vehicle registration number / time recognition device 24. The infrared camera 21 is arranged to take an image of the vehicle that has reached the position A (the position of the entrance 1a) in FIG. 2 so as to include the license plate. The infrared camera 21 has an infrared illuminator. The vehicle sensor 22 includes a plurality of sets of light emitters and light receivers that emit and receive a plurality of light beams in a predetermined positional relationship, respectively, and that the vehicle has reached the position A (the position of the entrance 1a) in FIG. And a detection signal for detecting that the vehicle is a small vehicle or more (that is, a small vehicle and a large vehicle and not a motorcycle, etc.). The vehicle determiner 23 outputs a determination signal indicating that one of the small vehicle and the large vehicle has reached the entrance 1a based on the detection signal from the vehicle sensor 22. The recognizing device 24 receives and processes the image signal from the camera 21 in response to the determination signal from the vehicle determiner 23, recognizes the vehicle registration number of the vehicle, and outputs the vehicle registration number. Such a recognition device 24 is known, and for example, a recognition device as disclosed in Japanese Patent Application Laid-Open No. 7-121794 can be used. Also,
In the present embodiment, the recognition device 24 has a timer function, and uses the time at which the vehicle registration number was recognized (or the time at which the determination signal was received) as the arrival time at which the vehicle reached the entrance 1a. ,Output. In the present embodiment, the vehicle sensor 22 and the vehicle determination device 23 are used in order to improve the data collection accuracy, but these need not necessarily be provided.

The exit data collection unit 12 determines the vehicle registration number of the license plate as ID information of the vehicle that has reached the exit 1b of the parking lot 1 and the exit arrival time (ie, the time when the vehicle reached the exit 1b). Exit time). In the present embodiment, the exit data collection unit 12 is configured similarly to the entrance data collection unit 11,
It is arranged near the position B (the position of the outlet 1b) in FIG.

The main line data collection unit 13 stores a vehicle registration number as ID information of a vehicle that has reached a predetermined location on the main line (in this embodiment, an E position near the D position in FIG. 2), and Main line data including the main line arrival time, which is the time when the vehicle arrives at the position E, is collected. Note that the main line data collection unit 13 is for obtaining basic data for calculating a travel time and a stop-by rate, which will be described later. Therefore, in the present embodiment, one of the main lines 3 is considered in consideration of economy. Main line data is collected only for lanes. However, the main line data collection unit 13 may collect main line data for all lanes of the main line 3. In the present embodiment, the main line data collection unit 13 is configured similarly to the entrance data collection unit 11. However, in the present embodiment, the vehicle sensor 22 and the vehicle determination device 23 are not used in the main line data collection unit.

The main line traffic detector 14 is a main line traffic amount, which is a traffic amount on the main line 3 (a cross-sectional traffic amount of the main line 3, which is the number of passing vehicles per unit time over all lanes of the main line 3). Are sequentially obtained. In the present embodiment, a so-called traffic counter is used as the main traffic detector 14, and is installed at a position E in FIG. When collecting the main line data for all the lanes of the main line 3, the main line data collection unit 13 can obtain the main line traffic volume by calculating the main line data. It is not necessary to provide a special detector of the above.

As will be described in detail later, the data processing unit 15 includes the entrance data from the entrance data collection unit 11, the exit data from the exit data collection unit 12, the main line data from the main line data collection unit 13, and the main traffic detector. Based on the traffic volume from the main line 14, the usage status of the parking lot 1 (in the present embodiment,
A signal indicating “empty”, “full”, “congested”) is output.

The guidance display device 16 displays guidance according to the use status of the parking lot 1 (in this embodiment, “vacant”, “full”, “congested”) based on a signal from the data processing unit 15. )I do. In the present embodiment, the guidance display device 1
Reference numeral 6 is provided at a position D in FIG. It is preferable that a guidance display device that displays the same contents as the guidance display device 16 be installed at a position C in FIG.

Next, the data processing section 15 will be described in detail with reference to FIG. Although the data processing unit 15 is actually configured using a computer, it is functionally similar to FIG.
Has the configuration shown in FIG. That is, the data processing unit 15
Is a parking number calculating unit 31, a stop-by rate calculating unit 32, a travel time calculating unit 33, a use time calculating unit 34, an incoming vehicle number predicting unit 35, an outgoing vehicle number predicting unit 36, and a parking number predicting unit. 3
7 and a determination unit 38.

The parking number calculation unit 31 obtains the current number of parked vehicles that is the current number of vehicles in the parking lot 1 based on the entrance data and the exit data. For example, of the vehicle registration numbers that do not match the vehicle registration number of the exit data among the vehicle registration numbers of the entrance data, the vehicle registration whose elapsed time from the entrance arrival time corresponding to the vehicle registration number is within a predetermined time. The number of numbers is determined as the current number of parked vehicles. In this case, specifically, for example, the following processing may be performed. That is, every time the entrance data is obtained, the vehicle registration number of the entrance data and the arrival time of the entrance are stored in a predetermined area of a memory (not shown) (herein referred to as a “parked vehicle data storage area”) in association with each other. Go. Also, every time exit data is obtained, it is checked whether a vehicle registration number that matches the vehicle registration number of the exit data is stored in the parked vehicle data storage area, and the matching vehicle registration number is stored. If so, the vehicle registration number stored in the parked vehicle data storage area and the arrival time associated with the vehicle registration number are deleted. And
The entrance arrival time stored in the parked vehicle data storage area is checked periodically, and the entrance arrival time older than a point in time a predetermined time (for example, 10 hours) before the present time and the vehicle registration associated therewith are checked. Delete a number. as a result,
The vehicle registration number stored in the parked vehicle data storage area is always the vehicle (parked vehicle) in the parking lot 1 at that time.
Will be shown. Therefore, the current number of parked vehicles can be obtained by periodically counting the number of vehicle registration numbers in the parked vehicle data storage area. Since the old data is periodically deleted from the parked vehicle data storage area as described above, the data collection units 11 and 12
Due to the data collection accuracy, when a certain vehicle leaves the parking lot 1 after parking in the parking lot 1, the vehicle registration number of the vehicle is acquired at the entrance 1a of the parking lot 1 and the Even if a case where the information is not obtained at the exit 1b occurs, the error due to this is canceled without being accumulated, and the measurement accuracy of the current number of parked vehicles increases.

In the present embodiment, the parking number calculation unit 31 and the data collection units 11 and 12 constitute parking number acquisition means for obtaining the current parking number. It is not limited to such a configuration. For example, the number-of-parked-units acquisition unit includes, as a sensor unit, a sensor such as an ultrasonic type, a loop coil type, or an optical type that counts vehicles passing through the entrance 1a and the exit 1b of the parking lot 1, respectively. And the exit data collection unit 12 may be used separately. Further, the parking number acquisition unit may be configured, for example, by a unit that obtains the number of parked vehicles in the representative area of the parking lot 1 (for example, an imaging device that captures an image of the representative area, and an image processing device that recognizes the number of vehicles from the image). And calculating means for calculating the total number of parked parking lots based on the number of parked parking lots in the representative area.

In the present embodiment, since the vehicle registration numbers of the entrance data and the exit data include information for distinguishing between a large vehicle and a small vehicle, the parking number calculation unit 31
Obtains the current number of parked vehicles for each large and small car.

The stop-by rate calculating section 32 sequentially obtains a stop-off rate, which is a ratio of the number of vehicles that stop at the parking lot 1 to the number of vehicles on the main line 3, based on the main line data and the entrance data. Specifically, the stop-by rate calculating unit 32 may perform the following processing, for example. That is, of the vehicle registration numbers of the main line data obtained per unit time, the number of vehicle registration numbers that match the vehicle registration number of the entrance data,
What is necessary is just to obtain as a drop-in rate. In the present embodiment,
The stop-by rate calculation unit 32 obtains a drop-off rate for each of large vehicles and small vehicles.

The travel time calculation section 33 sequentially obtains travel time, which is the time required for the vehicle to reach the entrance 1a of the parking lot 1 from the position E of the main line 3 in FIG. 2 based on the main line data and the entrance data. . Specifically, the travel time calculation unit 33
For example, the following processing may be performed. That is, for the main line data and the entrance data whose vehicle registration numbers match each other, the time from the main line arrival time of the main line data to the entrance arrival time of the entrance data may be obtained as the travel time. In this case, if the travel time is calculated from a set of main line data and entrance data whose vehicle registration numbers match each other, an error increases. Therefore, a plurality of sets of main line data and entrance data obtained immediately before the vehicle registration numbers match each other are obtained. It is preferable to calculate the travel time on average from.

The use time calculation section 34 sequentially obtains use times, which are times during which the vehicle stays in the parking lot 1, based on the entrance data and the exit data. Specifically, the usage time calculation unit 34 may perform the following processing, for example. That is, for the entrance data and the exit data whose vehicle registration numbers match each other, the time from the entrance arrival time of the entrance data to the exit arrival time of the exit data may be obtained as the use time. In this case, if the use time is calculated from a set of entry data and exit data whose vehicle registration numbers match each other, an error will increase. Therefore, a plurality of sets of entry data and exit data obtained immediately before the vehicle registration numbers match each other. It is preferable to calculate the usage time from the average. In the present embodiment, the use time calculation unit 34 obtains the use time for each of the large and small vehicles.

The entering vehicle number predicting unit 35 calculates the traffic volume of the main line,
Based on the drop-in rate and the travel time, a predicted number of vehicles that is the predicted number of vehicles passing through the entrance 1a of the parking lot 1 during the travel time is obtained. Here, an example of a method of obtaining the predicted number of entering vehicles will be described with reference to FIG. The traffic volume of the main line at a certain time t is expressed as Q _M (t) (unit is
min), drop-in rate is P _IN , travel time is T _IN (unit is mi)
n). At time t = 0, the vehicle α
Assuming that the vehicle is approaching the position, from time t = 0 to time t =
The number of vehicles that will pass through the entrance 1a of the parking lot 1 (that is, the position A) by T _IN is the predicted number of vehicles entering. The number of stops Q _IN (0) (unit: vehicles / min) per unit time from main line 3 to parking lot 1 at time t = 0 is
Equation 1 below is obtained.

[0076]

(Equation 1) Focusing on the travel time, the number of vehicles per unit time that will pass through the entrance 1a of the parking lot 1 at the time point t = 0 can be regarded as Q _IN (−T _IN ). This is the travel time T
Vehicle β on main line 3 before _IN is currently (t = 0) parking lot 1
At the entrance 1a. Therefore, the number of vehicles entering the parking lot 1 (that is, the predicted number of entering vehicles) Q _SUM before the vehicle α reaches the entrance 1a of the parking lot 1 is expressed by the following equation (2).

[0077]

(Equation 2) If P _IN 'and Q _M ', which are P _IN and Q _M per unit time, are input to the memory or the like of the computer, the above equation 2 is obtained.
Is given by the following equation (3), and the predicted number of vehicles Q _SUM can be obtained according to the equation (3).

[0078]

(Equation 3) In Equation 3, A is a pointer indicating a current memory address, and A 'is a pointer indicating a memory address before the travel time T _IN from the present.

In this embodiment, the number-of-vehicles prediction unit 35 obtains the predicted number of vehicles for each of the large and small vehicles.

The number-of-departures prediction section 36 calculates the entrance data,
Based on the exit data, the travel time, and the use time, a predicted number of outgoing vehicles, which is a predicted number of vehicles passing through the exit 1b of the parking lot 1 during the travel time, is obtained. Specifically, the number-of-departures prediction unit 36 may perform the following processing, for example. That is, with reference to FIG. 4B, since a vehicle that has entered the parking lot 1 at a certain point in time can be regarded as leaving the parking lot 1 after the use time, the above-described parked vehicle data of vehicle registration number stored in the storage area, said from the time T ₁ has elapsed only travel time from the current T ₀ hours prior to time T ₂ from the old inlet arrival time (ie, and FIG. 4 (b) in By counting the number of vehicle registration numbers associated with the entrance arrival times belonging to the period indicated by the slanted lines, the predicted number of departures can be obtained. In the present embodiment, the number-of-departures prediction unit 36 obtains the predicted number of departures for each of the large and small vehicles.

The parking number prediction unit 37 predicts the parking number after the lapse of the travel time based on the current parking number, the predicted entering number, and the predicted leaving number. Specifically, the parking number prediction unit 37 may perform the following processing, for example. That is, the parking number prediction unit 37 may subtract the predicted number of outgoing vehicles from the sum of the current number of parking vehicles and the predicted number of incoming vehicles, and set the value as the number of vehicles parked after the travel time has elapsed. In the present embodiment, the parking number prediction unit 37 predicts the parking number after the travel time has elapsed for each of the large and small vehicles.

In this embodiment, the elements 31 to 37 in FIG. 3 described above are based on the entrance data, the exit data, the main line data, the main line traffic volume, and the current number of parked vehicles. Constitutes prediction means for predicting the number of parked vehicles after a lapse of time from the predetermined location on the main line to the entrance of the parking lot.

The determination unit 38 determines the use status of the parking lot 1 based on the number of parkings predicted by the parking number prediction unit 37 and the number of vehicles that can be accommodated in the parking lot 1. For example, the determination unit 38 obtains a predicted parking rate from the number of parked vehicles predicted by the number-of-parked vehicle prediction unit 37 and the number of vehicles that can be accommodated in the parking lot 1, and according to the value, for example, “empty”,
It is determined whether the state is “full” or “congested”. The signal indicating the usage status determined by the determination unit 38 is provided to the guidance display device 16, and the guidance display device 16
(In the present embodiment, “empty”, “full”, “congested”). In the present embodiment, the guidance display device 16 performs guidance display for each of a large vehicle and a small vehicle.

According to the parking lot guide device according to the present embodiment described above, the entrance data, the exit data, the main line data, the main line traffic volume and the current number of parked vehicles are obtained, and the vehicle is determined based on these. The number of parked vehicles after a lapse of time (ie, travel time) from the position E of the main line 3 to the entrance 1a of the parking lot 1 is predicted, and guidance display is performed based on the predicted number of parked vehicles. For this reason, the use efficiency of the parking lot 1 can be improved. Then, from the entrance data and the main line data, the actual travel time for the vehicle to reach the entrance 1a of the parking lot 1 from the position E of the main line 3 can be sequentially obtained, and the number of parked vehicles can be calculated in consideration of the actual travel time. I predict. Therefore, according to the present embodiment, even if the actual travel time greatly deviates from the travel time that can be empirically determined in advance for some reason, the actual travel time follows the actual travel time. The number of parked vehicles can be predicted, and the prediction accuracy is significantly improved as compared with the related art. As a result, even if the actual travel time greatly deviates from the travel time that can be empirically determined in advance for some reason, it is possible to effectively prevent the waiting queue from extending to the main line. be able to.

In the present embodiment, since the number of parked vehicles is predicted for each of large vehicles and small vehicles, when the parking lot 1 is divided into a parking space for large vehicles and a parking space for small vehicles, Especially effective.

In this embodiment, the data processing unit 1
5, only a signal indicating the use status is output to the outside, but the data processing unit 15 creates entrance data, exit data, main line data, main line traffic volume, current parking number, Data such as drop-in rate, travel time, use time, predicted number of entering vehicles, predicted number of departing vehicles, and predicted number of departing vehicles may be stored in a storage medium for later analysis as necessary. Alternatively, the data may be output as it is or after being appropriately processed so as to be provided for external use.

(Second Embodiment) Next, the first embodiment will be described.
FIG. 5 shows a parking guide apparatus according to a second embodiment of the present invention, which is a modification of the parking guide apparatus according to the second embodiment.
This will be described with reference to FIG. The parking lot guidance device according to the present embodiment also has the parking lot use situation prediction device according to one embodiment of the present invention.

FIG. 5 is a functional block diagram showing a data processing device of the parking lot guidance device according to the present embodiment. The only difference between the parking guide system according to the present embodiment and the parking guide system according to the above-described embodiment is as follows. Therefore, in FIG. 5, the same or corresponding elements as those in FIG. The reference numerals are used, and the overlapping description is omitted.

In the present embodiment, as shown in FIG. 5, an entrance traffic calculation unit 41, an exit traffic calculation unit 42, and a correction coefficient calculation unit 43 are added. The operations of 35 and the number-of-departures prediction unit 36 are slightly changed.

The entrance traffic calculation unit 41 obtains the traffic at the entrance 1a of the parking lot 1 (the number of vehicles passing through the entrance per unit time), that is, the entrance traffic based on the entrance data. The exit traffic calculation unit 42 obtains the traffic at the exit 1b of the parking lot 1 (the number of vehicles passing through the exit per unit time), that is, the exit traffic based on the exit data. The correction coefficient calculating unit 43 obtains a predicted vehicle entering number correction coefficient and a predicted vehicle exit number correcting coefficient based on the entrance traffic volume and the exit traffic volume. And in this embodiment,
The number-of-entered vehicles prediction unit 35 gives the value obtained by multiplying the predicted number of vehicles entered as described above to the predicted number-of-entered vehicles correction coefficient to the number-of-parked vehicles prediction unit 37 as the final estimated number of vehicles entering the vehicle. . Further, the number-of-departures prediction unit 36 calculates a value obtained by multiplying the predicted number-of-departures obtained as described above by the predicted number-of-departures number correction coefficient as a final predicted number of departures, as a final predicted number of departures. Give to.

By taking the difference between the entrance traffic volume and the exit traffic volume, it is possible to know whether the number of parked vehicles in the parking lot 1 tends to increase or decrease, and the degree of the increase or decrease. Can be. Therefore, in the present embodiment, these information are taken into account (specifically, each correction coefficient is calculated by the correction coefficient calculation unit 43 according to the information, and these are calculated by the number-of-vehicles prediction unit 35 and the output. This is reflected in the vehicle number prediction unit 36. Therefore, according to the present embodiment, even if a sudden change occurs, the number of parked vehicles can be accurately predicted.

In the present embodiment, the above-mentioned information is reflected in the number-of-entered vehicles prediction unit 35 and the number-of-exits vehicle prediction unit 36. The information described above may be reflected in the parking number prediction unit 37 while keeping the same as in the embodiment described above.

In this embodiment, the entrance traffic calculation unit 41 and the entrance data collection unit 11 constitute entrance traffic acquisition means for obtaining the entrance traffic. Alternatively, a sensor separate from the entrance data collection unit 11 may be used. Similarly, in the present embodiment, the exit traffic volume calculation unit 42 and the exit data collection unit 12 constitute an exit traffic volume acquisition unit that obtains the exit traffic volume. You may comprise using the sensor different from the data collection part 12.

Incidentally, the entrance data collection unit 11 in FIG.
Of the vehicle at the entrance 1a of the parking lot 1 (entrance time occupancy) (specifically, for example, the ratio of the period during which the light beam is blocked by the vehicle) based on the detection signal of the vehicle sensor 22 of The exit data collection unit 12 in FIG.
The time occupancy (exit time occupancy) of the vehicle at the exit 1b of the parking lot 1 can be obtained based on the detection signal of the vehicle sensor (not shown). The traffic congestion at the entrance 1a of the parking lot 1 can be known from the entrance time occupancy, and the traffic congestion at the exit 1b of the parking lot 1 can be known from the exit time occupancy. These time occupancies can also be factors that improve the prediction accuracy. Therefore, in the same manner as the embodiment shown in FIG. 5 in which the information on increase / decrease is finally reflected on the predicted parking number as a correction coefficient, these time occupancy rates are finally reflected on the predicted parking number as a correction coefficient. It can also be done.

In the first and second embodiments described above, as shown in FIG.
Although this is an example of the simplest entry route in which one main line 3 is connected via two entry routes 2, the present invention can also be applied to a parking lot having a more complicated entry route. it can.

FIG. 6 shows an example of a parking lot having a complicated entry route. In the example shown in FIG. 6, three main lines 51, 52,
53 is the entrance 1 of the parking lot 1 via the entrances 61, 62, 63
a, the entry path 61 and the entry path 62 merge, and the entry path 63 further joins the junction path. In addition, the branch path 6 connected to the other main lines 54 and 55 from the merged inflow path.
4, 65 are branched. However, the branch roads 64, 6
5 is not an entrance to the parking lot 1.

Even in this case, it is sufficient to follow the first and second embodiments described above. That is, the main line 51,
The main line data collection units 13, the number corresponding to the number of 52, 53,
Prepare main line traffic detector 14 and guidance display device 16,
The same thing as the installation thing of the position of C, D, and E in FIG.
C1, D of the main line 51 corresponding to the positions of C, D, E in the middle
1, E1 position, C2, D2, E2 position of main line 52,
It is arranged at the position of C3, D3, E3 of the main line 53, respectively,
The main line data and the main line traffic volume are obtained for the main lines 51, 52, and 53, and the same processing as in the first and second embodiments described above may be performed for each of the main lines 51, 52, and 53. However, for example, regarding the predicted number of vehicles entering, etc., each main line 51, 5
The predicted number of vehicles obtained for each of 2,53 is added.

(Third Embodiment) Next, a third embodiment of the present invention will be described.
The parking lot guide device according to the embodiment will be described with reference to FIG.

While the parking lot guidance device according to the first and second embodiments has a parking lot use situation prediction device, the parking lot guidance device according to the present embodiment performs prediction. First, a parking lot use condition measuring device for measuring a current use condition of a parking lot according to an embodiment of the present invention is provided. In the present embodiment, since the prediction is not performed in this way, it is particularly effective when the entrance 2 is short in the parking lot 1 shown in FIG. Of course, the present embodiment can be applied not only to the parking area type parking lot but also to various other parking lots. For convenience of explanation, the present embodiment will be described as applied to the parking lot 1 shown in FIG.

FIG. 7 is a block diagram showing a schematic configuration of the parking lot guide device according to the present embodiment. The only difference between the parking lot guidance device according to the present embodiment and the above-described parking lot guidance device according to the first embodiment is as follows.
In FIG. 7, the same or corresponding elements as those in FIGS. 1 and 3 are denoted by the same reference numerals, and the duplicate description thereof will be omitted.

In this embodiment, the data processing unit 15
Based on the entrance data from the entrance data collection unit 11 and the exit data from the exit data collection unit 12, the current usage status of the parking lot 1 (in the present embodiment, “vacant”, “full”, “congested” ) Is output.

Further, the guidance display device 16 displays a guidance according to the current use situation of the parking lot 1 (in the present embodiment, "vacant", "full" in accordance with the signal from the data processing unit 15). , "Congestion").

In the present embodiment, the stop-by rate calculating unit 32, the travel time calculating unit 33, the use time calculating unit 34, the number of entering vehicles predicting unit 35, the number of departing vehicles predicting unit 36, and the number of parking vehicles predicting unit 37 in FIG. Is removed, and the data processing unit 15 has only the parking number calculation unit 31 and the determination unit 38.

In the present embodiment, the parking number calculation unit 31
Obtains the current number of vehicles that is the current number of vehicles in the parking lot 1 based on the entrance data and the exit data, but performs the same operation as described in the first embodiment, The number of vehicle registration numbers of the vehicle registration numbers of the entry data that do not match the vehicle registration number of the exit data, the elapsed time from the entrance arrival time corresponding to the vehicle registration number being within a predetermined time. To
The current parking number is obtained. Since an example of the specific processing has already been described in the first embodiment, the duplicate description will be omitted here. Note that, also in the present embodiment, the parking number calculation unit 31 obtains the current parking number for each of the large and small vehicles.

The determination unit 38 determines the use status of the parking lot 1 based on the current number of parking lots calculated by the parking lot calculation unit 31 and the number of vehicles that can be accommodated in the parking lot 1. For example, the determination unit 38 obtains a predicted parking rate from the current number of parkings obtained by the number-of-parking number calculation unit 31 and the number of vehicles that can be accommodated in the parking lot 1, and according to the value, as the use status, for example, “empty” , “Full” or “congested”. The signal indicating the usage status determined by the determination unit 38 is provided to the guidance display device 16,
Performs a guidance display (“empty”, “full”, “congested” in the present embodiment) according to the use status of the parking lot 1. Note that, also in the present embodiment, the determination by the determination unit 38 is performed for each large vehicle and small vehicle, and the guidance display device 16 performs guidance display for each large vehicle and small vehicle.

According to the parking lot guide device according to the present embodiment, the vehicle registration number of the entrance data whose elapsed time is within the predetermined time as the reference time is used as the basis for calculating the current number of parked vehicles. The vehicle registration number of the entrance data exceeding the predetermined time is not based on the calculation of the current number of parked vehicles. Therefore, due to the data collection accuracy of the data collection units 11 and 12, when a certain vehicle leaves the parking lot 1 after parking in the parking lot 1, the vehicle registration number of the vehicle is changed to the entrance of the parking lot 1. Parking lot 1 acquired in 1a
Even if a case where the information is not obtained at the exit 1b occurs, the error due to this is not accumulated, but is canceled after the lapse of the predetermined time. For this reason, according to the present embodiment, the measurement accuracy of the current number of parked vehicles is higher than in the past, and the current usage status of the parking lot 1 is displayed on the guidance display device 16 with high accuracy. The use efficiency of the parking lot 1 is improved.

The data collecting units 11 and 12 and the number-of-parked-ports calculating unit 31 in FIG. 7 constitute a parking lot use situation measuring device according to an embodiment of the present invention. As such, the parking lot use situation measuring device
In the parking lot use situation prediction device of the parking lot guidance device according to the first and second embodiments described above, the parking lot use situation prediction device is used as it is.

In the present embodiment, the current number of parked vehicles is obtained for each of large vehicles and small vehicles.
This is particularly effective when the parking lot 1 is divided into a parking space for large vehicles and a parking space for small vehicles.

In the present embodiment, the data processing unit 15 only outputs a signal indicating the current usage status to the outside. The data such as data, exit data, and the current number of parked vehicles may be stored in a storage medium for later analysis as necessary, or may be used as it is or appropriately processed for external use. It may be output to the outside.

(Fourth Embodiment) Next, a fourth embodiment of the present invention will be described.
The parking lot guidance device according to the embodiment will be described with reference to FIGS.

The parking lot guiding device according to the present embodiment is a modification of the parking lot guiding device according to the third embodiment shown in FIG. 7, and the parking lot guiding device according to the present embodiment is similar to the parking lot guiding device according to the third embodiment. The only difference from the parking lot guidance device according to the third embodiment is the operation of the parking number calculation unit 31.
Therefore, the description overlapping with the description of the third embodiment is omitted here.

In this embodiment, similarly to the third embodiment described above, the number-of-parked-portions calculating unit 31 determines the current number of vehicles in the parking lot 1 based on the entrance data and the exit data. Get the current parking number. Also in this embodiment, the parking number calculation unit 31 determines the vehicle registration number that does not match the vehicle registration number of the exit data among the vehicle registration numbers of the entrance data, as in the third embodiment. Among them, the number of vehicle registration numbers whose elapsed time from the entrance arrival time corresponding to the vehicle registration number is within the determination reference time is obtained as the current number of parked vehicles. However, in the above-described third embodiment, the determination reference time is a predetermined time, whereas in the present embodiment, the actual use time (time during which the vehicle stays in the parking lot 1).
Is dynamically varied according to That is, in the present embodiment, based on the entrance data and the exit data, a use time that is a time during which the vehicle stays in the parking lot is sequentially obtained, and the determination reference time is sequentially obtained based on the use time. The current number of parked vehicles is determined based on the latest determination reference time.

Specifically, in the present embodiment, the parking number calculation section 31 performs the operation shown in FIG. FIG. 9 is a flowchart illustrating an example of the operation of the parking number calculation unit 31 according to the present embodiment.

Prior to the description of the operation of the parked number calculator 31, an example of the storage format of vehicle data (vehicle related data) used in the parked number calculator 31 will be described with reference to FIG. As shown in FIG. 8A, an area of a memory (not shown) for storing individual vehicle data includes a field 1 for storing a vehicle registration number of the vehicle.
01, a field 102 for storing the arrival time of the vehicle at the entrance, and a presence flag (“1” indicating that the vehicle exists in the parking lot 1 (whether or not to stay). , "0" does not exist), and a field 104 for storing the usage time, which is the time the vehicle stayed in the parking lot 1.

Now, referring to FIG. 9, the parking number calculating section 31
When the operation is started, the parking number calculation unit 31 first performs an initial setting (Step S).
1). As the initial setting, for example, the parking number calculation unit 3
1 sets an initial value of the determination reference time. Also,
As the initial setting, in response to an input operation from an operating device (not shown), the parking number calculation unit 31 creates the above-described vehicle data for each of the vehicles already staying in the parking lot 1 and stores the vehicle data in the memory. Let it. That is, the vehicle registration number of the vehicle is stored in the field 101 of each vehicle data, the entry arrival time of the vehicle is stored in the field 102 of each vehicle data, and the field 103 of each vehicle data is stored 1 "is stored. At this point, the usage time is not stored in the field 104 of each vehicle data.

Next, the parking number calculation unit 31 determines whether or not entrance data has been obtained from the entrance data collection unit 11 (step S2). If the entrance data has not been obtained, the process directly proceeds to step S5. On the other hand, if the entrance data is obtained, the parking number calculation unit 31 creates new vehicle data and sets the new vehicle data in the field 10 of the vehicle data.
1 and 102 store the vehicle registration number and the arrival time of the entrance of the entrance data, respectively (step S3). Thereafter, the parking number calculation unit 31 stores “1” as the presence flag in the field 103 of the vehicle data (step S4), and proceeds to step S5.

In step S5, the parking number calculation section 3
1 judges whether exit data has been obtained from the exit data collection unit 12 or not. If the exit data has not been obtained, the process proceeds directly to step S11. On the other hand, when the exit data is obtained, the parking number calculation unit 31 determines whether there is vehicle data whose existence flag is “1” and whose vehicle registration number matches the vehicle registration number of the exit data. (Step S6). If there is no such vehicle data, the process proceeds to step S11 ignoring the exit data. If there is the vehicle data, the parking number calculation unit 31 sets the presence flag of the vehicle data to “0” (Step S7). Next, the parking number calculating unit 31 calculates the use time of the vehicle by subtracting the entrance arrival time of the vehicle data from the exit arrival time of the exit data, and calculates the use time of the vehicle data in the field 104 of the vehicle data.
(Step S8). Next, the parking number calculation unit 31 rearranges the vehicle data at the beginning (or at the end) for other vehicle data (step S9). Thereafter, based on the use time of the vehicle data, the parking number calculation unit 31 calculates a determination reference time by a process described later (step S10), and proceeds to step S11.

In step S5, the parking number calculation section 3
1 indicates the current number of parked vehicles by counting the number of vehicle data in which the presence flag is “1” and the elapsed time from the entrance arrival time is within the determination reference time most recently calculated in step S10. (That is, the count value is set as the current number of parked vehicles). Next, the parking number calculation unit 31 outputs the current parking number calculated in step S11 (step S12), and returns to step S2.

Here, each example of the specific processing of calculating the determination reference time in step S10 will be described with reference to FIG.
This will be described with reference to FIG.

First, a first processing example of step S10 will be described with reference to FIG.

Of the use times stored in the memory (ie, the use times stored in the field 104 of each vehicle data), a new one within a predetermined range from the latest one is used for the processing. Here, a predetermined number of use times starting from new ones are used for the processing. In this extraction of the usage time, a predetermined number of usage times are selected from the top since the vehicle data is rearranged at the top in step S9 as the usage time is newer (however, the usage time in the memory is less than the predetermined number). If you select all usage times),
It can be carried out. Since the number of use times corresponds to the number of vehicles (strictly speaking, the number of vehicles for which use time has been measured, that is, the number of vehicles for which YES was determined in step S5 and YES was determined in step S6), For example, the distribution of the use time is shown in FIG. 10A (FIG. 10B described later).
The same applies to (c). ).

FIG. 8 shows a storage format of vehicle data.
Instead of the format shown in (a), the format shown in FIG. 8B (a format in which a field 105 for storing the arrival time at the exit is added) is adopted, and the field of the vehicle data is provided between step S6 and step S10. If the exit arrival time is stored in 105, the use time in the above range can be extracted by referring to the exit arrival time without performing the rearrangement in step S9. Also, in this case, the use time extraction range is not a predetermined number of use times from the latest one but by referring to the exit arrival time,
It may also be a use time obtained corresponding to a predetermined period up to the present (specifically, for example, a use time associated with an exit arrival time belonging to the predetermined period up to the present).

As described above, the range of the use time used for the processing is not limited to the first processing example, but also to the step S.
The same applies to the second and third processing examples of No. 10 described later.

Then, in the first processing example, FIG.
As shown in the following, based on the distribution of usage time in the range,
The average value (average usage time) t _ave of the usage time is obtained,
A value obtained by multiplying the average value tave by a predetermined coefficient K is obtained, and this value is used as the determination reference time. The predetermined coefficient K may be appropriately determined in accordance with the operation results of the device.

Next, a second processing example of step S10 will be described with reference to FIG. This second
In the processing example of FIG. 10, as shown in FIG. 10 (b), based on the distribution of the use time in the range, the time at which a predetermined percentage (L percent) of the vehicles have left the parking lot 1 is determined. Time is defined as the determination reference time. Specifically, for example, the number of L-times of the total number of use times in the range (that is, the number of vehicles divided by L-number) is obtained, and the number of use times in the range is counted from the shorter time and corresponds to the number of L-times. The use time may be obtained, and the use time may be set as the determination reference time. The coefficient L is also
What is necessary is just to determine suitably according to the operation results of the said apparatus, etc.,
For example, it can be around 90%.

Next, a third processing example of step S10 will be described with reference to FIG. This third
In the process example, as shown in FIG. 10 (c), based on the distribution of the range of utilization time, we obtain the dispersion value t _V of the use time according to the number 4 below, a predetermined coefficient to the variance t _V M
Is obtained, and this value is used as the determination reference time. The predetermined coefficient M may be appropriately determined in accordance with the operation results of the apparatus.

[0127]

(Equation 4) In Equation 4, t _i indicates the individual use time within the range, N indicates the number of use times within the range, and t
_ave indicates the average value of the use time in the above range.

As another processing example of step S10, the following processing example can be given. That is, at least two of the processes according to the first to third processing examples.
One of the methods may be combined, the processing may be switched to one of the processing selected by the command, and the determination reference time may be obtained by the selected processing. According to the processing according to the first to third processing examples, the influence on the measurement accuracy of the current number of parked vehicles differs, and therefore, depending on the situation (for example, day of the week, time, holding of an event, etc.), If the process for obtaining the determination reference time is switched by giving the command by operation or automatically, the measurement accuracy of the current number of parked vehicles is further enhanced.

According to the parking lot use situation measuring device according to the present embodiment, the judgment is made in comparison with the case where the judgment reference time is set to the predetermined time as in the above-described parking lot use situation measuring device according to the third embodiment. Since the reference time is dynamically changed according to the actual use time, the measurement accuracy of the current number of parked vehicles is further improved.

[0130] Also in the present embodiment, the number-of-parked-number calculating unit 31 may, of course, obtain the current number of parked vehicles for each of the large and small vehicles.

In this embodiment, the above-mentioned step S8 in FIG. 9 sequentially obtains the use time which is the time during which the vehicle stays in the parking lot 1 based on the entrance data and the exit data. This corresponds to a use time calculation unit. Step S10 in FIG. 9 corresponds to the determination reference time calculation means for sequentially determining the determination reference time based on the use time obtained by the use time calculation means.

Incidentally, the parking number calculating section 31 performing the above-mentioned operation in the present embodiment can be used as it is in the parking lot use situation prediction devices according to the first and second embodiments. That is, the parking number calculation unit 31 in the present embodiment can be used as it is as the parking number calculation unit 31 in FIGS. 3 and 5.
In this case, the accuracy of the current number of parked vehicles obtained from the number-of-parked-units calculation unit 31 is increased, so that the accuracy of prediction of the number of parked vehicles is further enhanced. In addition, the parking number calculation part 3 in this Embodiment
When 1 is used as the parking number calculation unit 31 in FIGS. 3 and 5, in the operation of the parking number calculation unit 31 in the present embodiment, the use time calculation in FIGS. Since all or a part of the operation of the unit 34 overlaps, it goes without saying that both may be used.

The embodiments of the present invention have been described above, but the present invention is not limited to these embodiments.

[0134]

According to the present invention, the prediction accuracy of the number of parked vehicles can be improved, and not only can the use efficiency of the parking lot be improved, but also the occurrence of the extension of the queue waiting for parking to the main line can be prevented. Can be prevented.

Further, according to the present invention, it is possible to accurately measure the current usage status of the parking lot.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a schematic configuration of a parking lot guidance device according to a first embodiment of the present invention.

FIG. 2 is a schematic layout diagram schematically showing an arrangement of a sensor unit of the parking lot guide device shown in FIG. 1;

FIG. 3 is a functional block diagram showing a data processing device of the parking lot guidance device shown in FIG. 1;

FIG. 4 is an operation explanatory diagram of the parking lot guide device shown in FIG. 1;

FIG. 5 is a functional block diagram illustrating a data processing unit of a parking lot guidance device according to a second embodiment of the present invention.

FIG. 6 is a schematic layout diagram schematically showing an arrangement of a sensor unit of a parking lot guidance device according to still another embodiment of the present invention.

FIG. 7 is a block diagram showing a schematic configuration of a parking lot guidance device according to a third embodiment of the present invention.

FIG. 8 is a diagram showing each example of a storage format of vehicle data used in a parking number calculation unit of a parking lot guidance device according to a fourth embodiment of the present invention.

FIG. 9 is a flowchart illustrating an example of an operation of a parking number calculation unit of a parking lot guidance device according to a fourth embodiment of the present invention.

FIG. 10 is an explanatory diagram for describing each example of a process of calculating a determination reference time.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 parking lot 2 entrance 3 main line 11 entrance data collection part 12 exit data collection part 13 main line data collection part 14 main line traffic detector 15 data processing part 16 guidance display device 31 parking number calculation part 32 stop-by rate calculation part 33 travel time Calculation unit 34 Usage time calculation unit 35 Number of entering vehicles prediction unit 36 Number of departing vehicles prediction unit 37 Parking number prediction unit 38 Judgment unit

──────────────────────────────────────────────────続 き Continued on the front page (58) Field surveyed (Int.Cl. ⁷ , DB name) G08G 1/065 G06F 17/60 G08G 1/14

Claims (29)

(57) [Claims] 1. A parking lot use state prediction device for predicting a use state of a parking lot whose entrance is connected to a main line via an entrance, wherein ID information of a vehicle reaching the entrance of the parking lot and the vehicle Data collecting means for collecting entrance data including the arrival time at which the vehicle arrives at the entrance, ID information of the vehicle arriving at the exit of the parking lot, and the time at which the vehicle arrived at the exit. Exit data collecting means for collecting exit data including an exit arrival time; main line data including ID information of a vehicle arriving at a predetermined location on the main line and main line arrival time indicating a time at which the vehicle has reached the predetermined location. Main line data collecting means, main line traffic amount obtaining means for obtaining main line traffic amount which is the traffic amount on the main line, parking number obtaining means for obtaining current parking number which is the current number of vehicles in the parking lot. Means, based on the entrance data, the exit data, the main line data, the main line traffic volume and the current number of parked vehicles, after a lapse of time from when the vehicle reaches the entrance of the parking lot from the predetermined location on the main line. A prediction means for predicting the number of parked vehicles, and a parking lot use situation prediction device, comprising: 2. The vehicle registration number recognition device according to claim 1, wherein the entrance data collection unit, the exit data collection unit, and the main line data collection unit include a vehicle registration number recognition device that recognizes a vehicle registration number as the ID information. Parking lot usage prediction device. 3. The stop-by rate calculating means for sequentially obtaining a stop-off rate, which is a ratio of the number of vehicles stopping at the parking lot to the number of vehicles on the main line, based on the main line data and the entrance data. Based on the main line data and the entrance data, travel time calculating means for sequentially obtaining a travel time that is a time required for the vehicle to reach the entrance of the parking lot from the predetermined location on the main line, the entrance data and the exit First use time calculation means for sequentially obtaining use times, which are times during which the vehicle stays in the parking lot, based on the data; and, based on the main traffic volume, the drop-in rate, and the travel time, the travel time of the travel time. Means for predicting the number of vehicles entering, which is the predicted number of vehicles passing through the entrance of the parking lot in between, the entrance data, the exit data, the travel time and A departure number prediction means for obtaining a predicted departure number which is a predicted number of vehicles passing through the parking lot exit during the travel time based on the usage time; the current parking number, the predicted departure number The parking lot use situation prediction device according to claim 1 or 2, further comprising: a parking number prediction unit that predicts a parking number after the travel time elapses based on the predicted number of departures. 4. The parking number calculating means according to claim 1, wherein said parking number obtaining means includes a parking number calculating means for obtaining said current parking number based on said entrance data and said exit data.
4. The parking lot use situation prediction device according to any one of claims 3 to 3. 5. The parking number calculating unit determines an elapsed time from an entrance arrival time corresponding to the ID information of the ID information of the entrance data that does not match the ID information of the exit data. The parking lot use situation prediction device according to claim 4, wherein a number corresponding to the number of ID information within a reference time is obtained as the current number of parked vehicles. 6. The parking lot use situation predicting apparatus according to claim 5, wherein the determination reference time is a predetermined time. 7. A second usage time calculation means for sequentially obtaining usage times, which are times during which the vehicle stays in the parking lot, based on the entrance data and the exit data, A determination reference time calculating means for sequentially obtaining the determination reference time based on the usage time obtained by the use time calculation means, and based on the latest determination reference time determined by the determination reference time calculation means. 6. The current number of parked vehicles is obtained by the following method.
The parking lot use situation prediction device as described. 8. The method according to claim 1, wherein the determining reference time calculating means is configured to control the second reference time.
Based on the distribution of a predetermined number of usage times from new ones obtained by the usage time calculating means or the distribution of usage times obtained within the predetermined period up to the present time by the second usage time calculating means, The parking lot use situation prediction device according to claim 7, wherein a value obtained by multiplying the average value of the use time by a predetermined coefficient is obtained as the determination reference time. 9. The criterion time calculating means according to claim 2, wherein:
Based on the distribution of a predetermined number of usage times from new ones obtained by the usage time calculating means or the distribution of usage times obtained within the predetermined period up to the present time by the second usage time calculating means, 8. The parking lot use situation prediction device according to claim 7, wherein a time at which a predetermined number of vehicles have departed is obtained as the determination reference time. 10. A distribution of a predetermined number of use times from a new one obtained by the second use time calculation means or a predetermined time period up to the present time by the second use time calculation means. The use of a parking lot according to claim 7, wherein a value obtained by multiplying a variance value of the use time by a predetermined coefficient is obtained as the determination reference time, based on the distribution of the use time obtained in the parking lot. Situation prediction device. 11. The determination reference time calculation means may include a distribution of a predetermined number of use times from a new one obtained by the second use time calculation means, or a predetermined time period until the present time by the second use time calculation means. (1) a value obtained by multiplying the average value of the use time by a predetermined coefficient, (2) a time at which a predetermined number of vehicles departed, 3) The parking lot according to claim 7, wherein one of at least two of values obtained by multiplying a variance value of the use time by a predetermined coefficient, selected by a command, is obtained as the determination reference time. Usage situation prediction device. 12. The vehicle according to claim 1, further comprising a determination unit configured to determine a use state of the parking lot based on the number of parked vehicles predicted by the prediction unit and the number of vehicles that can be accommodated in the parking lot. The parking lot use situation prediction device according to any one of 1 to 11. 13. A parking lot use situation prediction device according to claim 12, and a guidance display device for providing a guidance display according to the use situation determined by said determination means, wherein said guidance display device is installed on said main line. And a parking lot guide device. 14. The ID information collected by the entrance data collection unit, the exit data collection unit, and the main line data collection unit includes information for distinguishing whether the vehicle is a large vehicle or a small vehicle, 12. The vehicle according to claim 1, wherein the number acquiring unit obtains the current number of parked vehicles for each of the large and small vehicles, and the prediction unit estimates the number of parked vehicles for each of the large and small vehicles. Parking lot use situation prediction device. 15. Based on the number of parked vehicles for each of the large vehicles and small vehicles predicted by the prediction means and the number of accommodated vehicles for each of the large vehicles and small vehicles in the parking lot, the use status of the parking lot is determined for the large vehicles and small vehicles. 15. The parking lot use situation prediction device according to claim 14, further comprising a determination unit that determines each small car. 16. A parking lot use situation predicting apparatus according to claim 15, and a guide display apparatus for providing a guide display for each large car and small car according to the use situation of each large car and small car determined by said determination means. And a guidance display device installed on the main line. 17. A parking lot use condition measuring device for measuring a current use condition of a parking lot, wherein an ID information of a vehicle arriving at the entrance of the parking lot and an entrance indicating a time when the vehicle arrives at the entrance. An entrance data collecting means for collecting entrance data including an arrival time; collecting exit data including ID information of a vehicle arriving at the exit of the parking lot and exit arrival time which is a time when the vehicle arrives at the exit. Exit data collecting means, and a parking number calculating means for obtaining a current parking number which is a current vehicle number in the parking lot based on the entrance data and the exit data. Of the ID information of the entrance data that does not match the ID information of the exit data, the elapsed time from the entrance arrival time corresponding to the ID information is within the determination reference time. That the number corresponding to the number of ID information, the parking state measuring apparatus and obtaining as the current number of parked vehicles. 18. The parking lot use situation measurement according to claim 17, wherein the entrance data collection unit and the exit data collection unit include a vehicle registration number recognition device that recognizes a vehicle registration number as the ID information. apparatus. 19. The parking lot use status measuring device according to claim 17, wherein the determination reference time is a predetermined time. 20. The parking time calculating means, wherein the parking time calculating means sequentially obtains the usage time, which is the time the vehicle stays in the parking lot, based on the entrance data and the exit data, and the usage time calculating means. A reference time calculating means for sequentially obtaining the reference time based on the use time obtained in the step (a), and the current number of parked vehicles based on the latest determination reference time obtained by the reference time calculating means. 19. The method of claim 17, wherein
The parking lot use situation measuring device as described. 21. The determination reference time calculation means, wherein a distribution of a predetermined number of use times from a new one obtained by the use time calculation means or a distribution obtained by the use time calculation means within a predetermined period up to the present. 21. The parking lot use condition measuring device according to claim 20, wherein a value obtained by multiplying an average value of the use times by a predetermined coefficient is obtained as the determination reference time based on the distribution of the use times obtained. 22. The determination reference time calculation means, wherein a distribution of a predetermined number of use times from a new one obtained by the use time calculation means or a distribution obtained by the use time calculation means within a predetermined period up to the present. 3. A time when a predetermined percentage of vehicles have departed is determined as the determination reference time on the basis of the distribution of the use times obtained.
0 parking lot use situation measuring device. 23. The determination reference time calculating means obtains a distribution of a predetermined number of use times from a new one obtained by the use time calculation means or a distribution obtained by the use time calculation means within a predetermined period up to the present. 21. The parking lot use condition measuring device according to claim 20, wherein a value obtained by multiplying a variance value of the use time by a predetermined coefficient is obtained as the determination reference time based on the distribution of the use time. 24. The determination reference time calculation means, wherein a distribution of a predetermined number of use times from a new one obtained by the use time calculation means or a distribution obtained by the use time calculation means within a predetermined period up to the present. Based on the distribution of the use time obtained, (1) a value obtained by multiplying the average value of the use time by a predetermined coefficient, (2) a time when a predetermined number of vehicles have departed, (3) 21. The parking lot use condition measuring device according to claim 20, wherein one of at least two of values obtained by multiplying a variance value by a predetermined coefficient, selected by an instruction, is obtained as the determination reference time. 25. A system further comprising: a determination unit that determines a current use state of the parking lot based on the current parking number obtained by the parking number calculation unit and the number of vehicles that can be accommodated in the parking lot. The parking lot use situation measuring device according to any one of claims 17 to 24, characterized in that: 26. A parking system, comprising: the parking lot use status measuring device according to claim 25; and a guide display device for providing a guide display according to the current use status determined by the determination unit. Parking lot guidance device. 27. The ID information collected by the entrance data collection unit and the exit data collection unit includes information for distinguishing whether the vehicle is a large vehicle or a small vehicle, and the parking number calculation unit includes a large vehicle 25. The present parking number is obtained for each small car.
The parking lot use situation measuring device according to any one of the above. 28. The present parking lot of the parking lot based on the current number of parking lots for each large car and small car obtained by the parking lot number calculating means and the number of accommodated vehicles for each large car and small car in the parking lot. 28. The parking lot use condition measuring device according to claim 27, further comprising a judging means for judging a use condition for each of a large vehicle and a small vehicle. 29. A guide display for each large vehicle and small vehicle according to the parking lot use condition measuring device according to claim 28, and a guide display according to the current use condition for each large vehicle and small vehicle determined by the determination means. A parking lot guide device comprising: