JPS63163664A - Collecting and processing device for taxi operation data - Google Patents

Abstract

PURPOSE:To realize the effective utilization of cars with less labor by providing a taxis operation data generating and accumulating means, a taxi operation data collecting and processing means and a time data generating and accumulating means. CONSTITUTION:The taxi operation data collecting and processing means B possesses the following five means; A means B1 which collects and accumulates the time of entering taxi, the data accumulated in the taxi operation data generating and accumulating means A and the time data accumulated in the time data generating and accumulating means C. A means B2 which processes index data before and after an operation based on the data accumulated in the collecting and accumulating means B1 and prepares actual time data consists of the actual operation time and a finishing time of each operation. An input means B3 which inputs data on the boarding place for each operation. A means B4 which accumulates the actual time data and the data on the boarding place. A means B5 which processes the actual time data and the data on the boarding place accumulated in the accumulating means B4 and sums up and figures the utilizing frequency of the taxi every time zone or every boarding place. Thus as the actual time data is automatically prepared, the effective utilization with the less labor can be attained.

Description

[Detailed Description of the Invention] [Field of Industrial Application] The present invention relates to a taxi operation data collection process that collects and processes operation data of each vehicle in order to effectively utilize the vehicles owned by a taxi company. It is related to the device.

[Problems to be Solved by the Prior Art and the Invention] In general, taxi drivers are required to record the boarding time, boarding location, alighting time, and location in the passenger record for each service. The contents of this crew record are later collected and processed in order to understand the advantageous situation of all vehicles.

By collecting data on boarding times and boarding locations for each service for all troops, it becomes possible to know the number of times of use by time of day and boarding location, and it becomes possible to know when and where to allocate vehicles for efficient sales. You can see if you can do it and improve sales.

However, with this conventional method, the only way to collect the time information and boarding point information of all crew members' flight records is to have the operator input the time information and boarding point information into a computer, which requires a large amount of effort for the collection process. There were problems such as requiring a lot of effort to record both the time and boarding point for each business.

Therefore, in view of the above-mentioned problems, the present invention aims to provide a Taxini operation data collection processing device that performs operation data collection processing that allows effective use of vehicles with less effort.

[Means and operations for solving the problems] In order to solve the above-mentioned problems, the taxi operation data collection and processing device made according to the present invention is as shown in the basic configuration diagram of FIG. Accumulation means A and taxi-taxi
operation data collection processing means B; and time data generation and storage means C, which is provided in the taxi series data generation and storage means A or the taxi operation data collection and processing means B, and generates and stores reference time data for a taxi. Equipped with.

The above-mentioned taxi operation data generation/accumulation means A includes index data of the taxi meter at the end of each business, index data of the required time, empty vehicle stopping time, and empty vehicle running time for the period from the end of the previous business to the end of the current business. Generate and accumulate business time series data consisting of:

The taxi operation data collection processing means B collects and stores the taxi entry time, the data stored in the taxi operation data generation and storage means, and the time data stored in the time data generation and storage means. Means B+ and
Means B2 for processing the index data before and after each business based on the data stored in the collection and accumulation means B1 to form real time data consisting of actual business hours and end time of each business;
and input means B3 for inputting landing data for each business.
and 84 means for accumulating the real time data and boarding point data, and processing the real time data and boarding point data stored in the storage means B4 to calculate the number of taxi rides by time zone or boarding point. and means B for aggregating and graphicalizing.

As a result of the above, it is no longer necessary to manually input the boarding time written by the crew member, which reduces the labor of the crew member and the operator, and allows processing results to be obtained quickly.

〔Example〕

FIG. 2 is a diagram showing the overall configuration of an embodiment of the taxi operation data collection and processing device according to the present invention.

In the figure, 1 is a taxi operation data generation/storage device, which is mounted on a taxi. 2. ~27 is a terminal installed in each of a plurality of garages of a taxi company, for example;
3 is a plurality of terminals 2. This is one repeater installed for ~2n, and is installed in the office of a taxi company. Reference numeral 4 denotes a taxi operation data processing device installed in the same office as the repeater 3.

As shown in FIG.
, a data storage section 13 and a data output section 14.

The operation data generation section 11 itself is constituted by a well-known electronic taximeter, and the operation data generation section 11 is equipped with a travel sensor 15 that generates a distance pulse and a tariff switch, which are generated once every time the vehicle travels a certain distance. A tariff status signal from the unit 16 is input.

The taxi operation data generating unit 11 updates and accumulates data regarding tariff status signals, distance pulses, fares calculated by the fare system, and various operation indices, and displays them on the fare display 17 and index display 18 as appropriate. to display prices and indexes.

The tariff switching unit 16 includes a taxi fare button pressed by the taxi driver when a passenger gets on board, a premium button pressed when the taxi driver pays the fare, a payment button pressed when the passenger pays the fare, and a fare button pressed when the passenger gets off the taxi. It has an empty car button that is pressed when the vehicle is empty, a pick-up button that is pressed when picking up a passenger, etc. The operation data generation unit 11 updates various index data according to the tariff status that is changed by pressing these various buttons (.

For example, index data for total mileage and driving time can be obtained by clicking the Rental button.
It is updated regardless of pressing the premium button, payment button, or empty car button. Business mileage, number of business hours, number of times after business, business mileage,
The index data of the number of pickups/idling distance and fare are updated when a button other than the empty car button is pressed. These updated index data are sent to the data processing section 12 when the tariff switching section 16 is switched from a state other than an empty vehicle to an empty vehicle tariff state.

In addition to the operation index data from the operation data generation section 11, the data processing section 12 receives the distance pulse from the travel sensor 15 and the tariff status signal from the tariff switching section 16, and uses the distance pulse and the tariff status signal to We measure the time required between operations, empty vehicle running time, empty vehicle stopping time, etc.
The data storage unit 1 uses the index data obtained through these measurements as business time series data together with the operation index data sent from the operation data generation unit 11 in response to switching of empty car tariffs.
Store in 3.

FIG. 4 shows the data format sent by the operation data generation section 11 to the data processing section 12, and FIG. 5 shows the data format sent to the data processing section 12.
This is a form of index data that is added to the operation index data from the operation data generation section 11 and stored in the data storage section 13.

The data output unit 14 is connected to the operation data generation/storage device 1 to the terminal 2. ~2. ．． A part for sending operation data to the repeater 3 via one of the terminals 2. ~27
It has a plug 14a (FIG. 2) that is inserted into a jack (not shown). When the plug 14a is inserted into the jack, the data output section 14 sends a data request signal to the data processing section 12.

The data processing section 12, which receives the data request signal from the data output section 14, sends an entrained data transmission request signal to the operation data generation section 11. The operation data generating section 11 that has received the operation data sending request signal sends the operation data to the data processing 12 regardless of the switching to the empty vehicle tariff state by the tariff switching signal from the tariff switching section 16.

Insertion of the plug 14a of the data output section 14 into the jack of the terminal, that is, plug-in, is performed when the taxi leaves and when the taxi enters the parking lot. Therefore, the index data that the data processing section 12 collects from the operation data generation section 11 in response to the data request signal is stored in the data storage section 13 as departure data and warehousing data. Following the storage of this outgoing data and incoming data, the data processing unit 12
The index data stored in the data storage section 13 is sent to the terminal 2 through the data output section 14. ~27.

FIG. 6 shows the format of data stored in the data storage unit 13 at the time of warehouse delivery and storage, and FIG. 7 shows the format of data output through the data output unit 4 at the time of plug-in. As is clear from FIG. 7, the data stored in the operation data generation/storage device 1 and sent out from the device 1 includes outgoing data, incoming data, and sales data for each business following a header representing the start of the data. Time series data 1~
n, horizontal parity, and an end mark indicating the end of data.

Terminal 2 above. ~2. ．． are all the same, one and two
As shown in FIG. 8, n has a data input section 21, a data processing section 22, a data transmission/reception section 23, a data display section 24, and a printer 25.

The data input section 21 has a jack into which the plug 14a of the data output section 14 of the operation data generation/storage device 1 is inserted, generates a data input standby signal in response to insertion of the plug 14a, and transmits this to the data processing section. 22.

The data processing unit 22 automatically enters a standby state in response to a data input standby signal, and then generates operation data.
Data in the format shown in FIG. 7 sent from the storage device 1 is received, it is determined whether the received data is normal or not, and the data is repeatedly received until the determination becomes YES. If the data is normal, the received data is transmitted to the repeater 3 through the data transmitting/receiving section 23.

Each terminal 2I~2. ．． If the transmission timing of data from to the repeater 3 matches that of another terminal, or if the repeater 3 is transmitting data to the taxi operation data processing device 4, the taxi operation data processing device 4 temporarily stands by.

The data transmitted to the repeater 3 is processed by the repeater 3 and sent back. The returned data includes the crew code, sales amount, each index and subtraction index at the time of arrival and departure, date, etc. Of these, the crew code and sales amount are displayed on the data display section 24, and the remaining The item is printed out by the printer 25.

As shown in FIG. 9, the repeater 3 connects terminals 2I to 2.
．． 1, a data transmitting/receiving unit 31, a data processing unit 32,
It has a data transmitting/receiving section 33 for communication with the taxi operation data processing device 4, a data storage section 34, and a clock 35.

The data storage unit 34 of the repeater 3 stores the day's police box data (including departure index) sent from the taxi operation data processing device 4.

When the data processing unit 32 receives data from the terminals 21 to 2.1 through the data transmitting/receiving unit 31, it refers to the day's police box data as shown in FIG. Based on this, the sales amount for the day is calculated, and this is returned to terminals 2I to 27 along with the code of the crew member on board the vehicle.

The above calculation result is combined with the warehousing time measured by the clock 35, warehousing data, etc., and is stored in the data storage unit 34 as warehousing vehicle data in the format shown in FIG. 11. In addition to the above, the data storage unit 34 also includes the terminal 21
Each business time series data sent from ~27 is also stored together.

Please note that terminal 2. ~ Taxi operation data is also generated when plug 14a is inserted into jack 27.
The data stored in the data storage section 13 of the storage device 1 is transmitted to the repeater 3 through the terminals 21 to 27, but the index data of the number of business operations at this time has already been stored in the data storage section 34 of the repeater 3. It is equal to the index data of the number of business hours. Therefore, by comparing the business frequency index data, it can be determined whether the input data is the one at the time of leaving the store. When it is determined that it is time to leave the warehouse, the time of arrival in the data in FIG. 11, which is generated for each plaque-in and stored in the data storage unit 34, becomes the time of leaving the warehouse.

The data stored in the data storage unit 34 is held until there is a transmission request from the taxi operation data processing device 4.
Cleared after sending data in response to a request.

Processing at repeater 3 is data input from terminal 2,
Processing of the data and terminal2. 2h is given top priority, and data output to the processing device 4 is performed using free time.

As shown in FIG. 12, the taxi operation data processing device 4 includes a data transmitting/receiving section 41, a data processing section 42, a data storage section 43, an input section 44, and a CRT 4 as an output means.
5 and a printer 46.

The input unit 41 is comprised of, for example, a numeric keypad, a barcode reader, etc., and is used to input various data, fare data, crew status data, pick-up and drop-off locations, and boarding type data for each service. The data input from the input section 41 is processed by the data processing section 42 together with the data stored in the data storage section 43, and then stored in the data storage section 43 as new data.

The data processing section 42 transmits the day's police box table data (FIG. 10) and the like to the repeater 3 through the data transmitting/receiving section 41 according to instructions from the input section 44, and converts data sent from the repeater 3 into data. It is received through the transmitting/receiving section 41. The warehousing data is selected from the received data, the data is organized based on the selected data, and the data of one operation of each vehicle is stored in the data storage section 43 as master data.

The stored mask data includes time-series data for each business, such as time of arrival and departure, index data, and sales amount. This mask data is corrected for subsequent data processing.

The business time series data mentioned above is generated by the taxi operation data generation/storage device 1 installed in the taxi, and the data is, for example, index data consisting of the count value of a counter that counts up every unit time. be. This eliminates the need for each taxi to have a clock,
It is also effective in reducing the influence of clock errors. However, to effectively utilize time series data,
It is necessary to modify the mask data to real-time data.

To correct this data, the data processing unit 42 executes the work shown in the flowchart of FIG. 13 according to a predetermined program.

That is, after the start of the program, the data processing unit 42 reads the business number No. (index) of the warehousing data in the master data in the first step S1, and reads the outgoing time TM (real time) from the mask data in the subsequent step S2. . Thereafter, the process proceeds to step S3, where the business hours TE (index) and required time TN (index) of the delivery data are read. Next, the process proceeds to step S4, where the first
Read the business hours TIE (index), empty time TIS (index), and required time TIN (index) of the business time series data.

The index data read in steps S3 and S4 above is calculated based on the business hours CE of the first business in step S5.
(real time), free time C3 (real time), free running time CR (
(actual time). In addition, the leaving time TM read in step S2 and step S
The business hours CE, empty time CS, and idle running time CR calculated in step S6 are used to calculate the first business end time TIM (real time) in step S6.

The above-mentioned leaving time TM, business hours CE, empty time C8, empty running time CR1, first business end time TIM are in step S
7, the data is stored in the data storage unit 43. Thereafter, the process proceeds to step S8, where the counter n is set to 2.

Next, the process proceeds to step S9, where the number of business hours N, business hours T2E, empty time T2S, and required time 72N of the n-th, that is, the second business time series data are read, and then based on these read data, In step S10, the business hours CE, empty time CS, and empty running time CR of the second business are calculated.

Then, in step Sll, the second business end time T2M is calculated.

Step S1: CB, C5, CR, 72M calculated above
2, the data is stored in the data storage unit 43, and then in step S13.
In this case, the counter n is set to (2+1=)3. Subsequently, it is determined in step S14 whether the number of business operations N (index) read in step S9 is equal to the number of business operations NO (index) of the warehousing data, and when the determination is No, the process returns to step S9.

Thereafter, steps S9 to 314 are repeated. That is, from then on, read the 3rd to nth business time series data, and use these data to calculate the business hours CE and air time C.
S. Repeat the operation of calculating idle running time CR1 business end time TnM and storing it in data storage section 43.

If the determination in step 314 is YES, it is assumed that the correction of the time-series data of the - service has been completed, and the execution of the program is terminated. As described above, the data storage unit 43 stores real-time data indicating the end time of each business operation from departure to arrival of each taxi, and real-time breakdown of business hours, empty vehicle time, and idle running time for each business operation. will be stored.

The input unit 44 allows the operator to check the passenger record entered by the taxi driver when operating the taxi, and then select the pick-up and drop-off locations and boarding type (wireless, hailing, entry, department store, etc.) corresponding to each business. used for input. As a configuration of the input section 44, an input method using a barcode reader can be considered. In this case, a bar code is attached to each region on the map, and the boarding and alighting points can be input by reading this with a reader. In addition, if you want to enter specific areas, numbers, codes, or control signals that cannot be displayed on the map, place corresponding barcodes around the map.
This can be done by reading it with a reader.

The data regarding the boarding location, the alighting location, and the boarding mode inputted from the input unit 44 are stored in the data storage unit 4 by modifying the mask data.
It may be added to the above data stored in 3 or may be added separately by modifying the mask data.

The real-time data indicating the end time of each business and its real-time breakdown are processed by the data processing unit 42, and the 14th
It can be displayed on the CRT 45 as a crew status list as shown in the figure, or printed out on the printer 46.

According to the list, the crew status of each crew member can be clearly understood at a glance, so it can be used when showing the list to the person in question and pointing out deficiencies in the crew member's performance and requesting improvements.

In addition, in the illustrated list, the blacked out parts indicate business running hours,
Parallel lines represent empty vehicle running time, and rose marks represent empty vehicle stopping time. When making this figure, 1 to 2 minutes is 0 minutes, 3 to 2 minutes is 0 minutes,
7 minutes is processed as 5 minutes, 8 to 12 minutes are processed as 10 minutes, and the processing is expressed in units of 5 minutes (square range).

The table also includes information such as the crew member's group, departure time, arrival time, sales amount for the day, business hours, idle time, and idle time.

In addition, the boarding time can be determined by subtracting the business hours from the end time of each business mentioned above, that is, the start time of the next business, and by processing this and the boarding location data, the boarding time shown in FIG. A graph of the number of times of use in different time zones, a graph of the number of times of use for each boarding point according to the time zone shown in Figure 16,
A map showing the number of times of use by time zone shown in Figure 7, etc. can be viewed on the CRT4.
5 or print it out on the printer 46.

According to the graph in Figure 15, it is possible to know the number of times a specific area is used for each time period, and this gives instructions to reduce the fee for dispatching vehicles during times when usage is low, and to increase the number of dispatched vehicles during times when usage is high. This makes it possible to increase sales by increasing sales.

According to the graph in FIG. 16, it is possible to know the number of times of use in a specific time period by region, and it is possible to increase sales by appropriately instructing the number of vehicles to be allocated to each region. Note that since this graph also displays the riding mode, it is possible to give more detailed instructions for dispatching a vehicle.

According to the map in FIG. 17, it is possible to know at a glance the number of uses in a specific time period by region, and it can be used in the same way as the graphs in FIGS. 15 and 16.

In the illustrated embodiment, since there are a plurality of terminals, a repeater shared by the plurality of terminals is provided separately from the terminal, but if there is only one terminal, the two can be integrated.

In short, the terminal and repeater only need to be able to collect data about multiple taxis.

Further, in the illustrated embodiment, the clock is provided within the repeater, but it may also be provided within the taxi operation data generation/storage device.

〔effect〕

As explained above, according to the present invention, real-time data for each operation from taxi departure to taxi arrival is automatically created, so it is only necessary to input the boarding point data, and the vehicle can be used with little effort. Information indicating the situation can be quickly obtained in graphical form, and sales can be improved by appropriately allocating vehicles using this information.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the basic configuration of a taxi operation data collection and processing device according to the present invention, FIG. 2 is a block diagram showing an embodiment of the device according to the present invention, and FIG. A block diagram showing an example of an operation data generation/storage device, Fig. 4 is a diagram showing the format of index data generated by a taxi meter, Fig. 5 is a diagram showing the format of business time series data, Fig. 6 7 is a diagram showing the format of time-series data, FIG. 8 is a block diagram showing an example of a terminal, FIG. 9 is a block diagram showing an example of a repeater, FIG. 10 is a diagram showing the format of the day's police box table data, FIG. 11 is a diagram showing the format of incoming vehicle data, FIG. 12 is a block diagram showing an example of a taxi operation data processing device, and FIG.
The figure is a flowchart diagram showing a part of the operation of the device in Figure 12, Figure 14 is a diagram showing a figure representing the crew status obtained by the processing by the device in Figure 12, and Figure 15 is a diagram showing the time zone for each boarding place. FIG. 16 is a graph showing the number of times of use, FIG. 16 is a graph showing the number of times of use for each stop by time zone, and FIG. 17 is a map showing the number of times of use by time zone. A: Taxi operation data generation and accumulation means, B: Taxi operation data collection and accumulation means, C: Time data generation and accumulation means, B: Data collection and accumulation means, B2...
・Real-time data forming means, B,...input means, B4・
...Data storage means, B...Graphicization means. Patent applicant Chugoku Jitsu Co., Ltd. Efnis Gibo Co., Ltd.
Yazaki Sogyo Co., Ltd. Yazaki Keiki Co., Ltd. Figure 1] Figure 3 Figure 4 Figure 6 Figure 7 and Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13

Claims (1)

[Scope of Claims] A business time series consisting of taximeter index data at the end of each business, and index data of travel time, empty vehicle stopping time, and empty vehicle running time for the period from the end of the previous business to the end of the current business. a taxi operation data generation and accumulation means for generating and accumulating data; a taxi operation data collection and processing means; provided within the taxi operation data generation and accumulation means or the taxi operation data collection and processing means, generating taxi reference time data; and a time data generation/accumulation means for accumulating the data, and the taxi operation data collection/processing means collects the data accumulated in the taxi operation data generation/accumulation means and the time data generation/accumulation means when the taxi enters the parking lot. a means for collecting and accumulating time data, and processing index data before and after each business based on the data accumulated in the collecting and accumulating means to generate real-time data consisting of actual business hours and end time of each business; input means for inputting boarding point data for each business; means for accumulating the real time data and boarding point data; and processing the real time data and boarding point data stored in the storage unit. What is claimed is: 1. A taxi operation data collection and processing device, comprising means for aggregating and graphically representing the number of times taxis are used by time zone or by boarding location.