JP3499819B2 - Operation analysis system, operation analysis method, and computer program - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention centrally receives electronic information, which is collected by each of a plurality of customers and represents the operating status of a moving body by a driver belonging to the customer,
The present invention relates to an information processing mechanism for individually presenting a relative evaluation of a traveling state of a moving body by a driver, a customer, a driver between customers, and message information corresponding to the relative evaluation. Here, the "operational state" refers to a forward / backward state, a stopped state, a starting state, an accelerating state, a decelerating state, a turning state, and other operating-related states of the moving body that change according to a driver's operation.

[0002]

BACKGROUND OF THE INVENTION When a traffic accident occurs, it is difficult for a person other than the parties concerned to analyze the cause and status of the occurrence after the fact. Usually, such an analysis is performed by using evidence of the situation in the field, testimony from a driver or a witness, etc. as a judgment material. However, such forms of analysis are probably sensory, general, and inaccurate. Therefore, it has also been attempted to reproduce the accident situation by recording data representing the behavior content and running situation of the vehicle in a data recorder and analyzing the recorded data with a computer when an accident occurs. This data recorder is equipped with a behavior sensor such as an angular velocity meter and an accelerometer, a vehicle speed sensor that receives travel pulses from a speedometer and a vehicle instrument, a non-volatile memory and its recording control means. It is configured to record in a memory for a certain time while updating it at any time. When a traffic accident occurs, the recorded data is read from the memory of this data recorder and analyzed. For example, a traveling situation that goes back a certain time from the time of stopping after the occurrence of an accident is reproduced through image processing by a computer device or the like. This makes it possible to objectively clarify the situation at the time of the accident and correctly understand the cause of the accident.

However, such an analysis is only completed at the level of a specific company or individual, and there has been a certain limit to its widespread use. For example, in a company, it is necessary to build a system environment including a data recorder at a certain level or higher, but this requires a great deal of cost and is difficult unless there is a strong incentive to build the system. In addition, analysis requires specialists with advanced analysis ability and experience,
The number of such experts is so small that it is not realistic to secure it for each company.

In the case of a company with a small number of drivers, it is not possible to make an objective relative comparison with other drivers. Regarding this point, if analysis can be performed using not only information of one company but also information of other companies in the same industry, there is a possibility that more objective analysis can be performed. In addition, it may be possible to solve the problem by concentrating the information indicating the operation status from multiple companies and having an expert perform an objective analysis based on the information. However, it requires a specialized third-party authority that is not bound by the interests of the company. Conventionally, there is no such third party management organization. Even if there is a third-party management organization, the infrastructure for quickly and effectively collecting operation status from each company and feeding back the analysis results is not established. Furthermore, even if an attempt is made to collect the operation status collected by each company, it is usually impossible to motivate each company to transmit data.

In view of such a background, the present invention has as its main object to provide a technique capable of objectively analyzing the operating condition and effectively delivering the analysis result.

[0006]

SUMMARY OF THE INVENTION The present invention is, from the customer terminal to each of a plurality of customer operation, operation status of the mobile each you due to driving of the driver belonging to the customer by the driver
The first electronic information quantified for each , and the quantification
The second electronic information including the measurement data of the behavioral characteristics of the moving body used for the reading of the communication network or a predetermined recording medium.
Receiving means and for receiving through mechanism; the first electronic information and the second electronic information received from the customer terminal, a predetermined
Electronic information storage means and for Ru is accumulated in the memory; the same customer based on the first electronic information that is <br/> stored in the memory, the operation status of the driver between between same industry customer or between different industries customers
Of the relative evaluation process, a first evaluation process hand <br/> stage performing as an immediate treatment; this first evaluation processing means is selectively activated, before
The above-mentioned prompt based on the second electronic information stored in the memory.
More detailed relative evaluation processing of operating status than time processing , badge
Second evaluation processing means for performing processing ; information presenting means for presenting the result information of the immediate processing or the badge processing to the customer terminal of the customer to which the driver who is the evaluation object belongs;
Consisting comprise, providing a luck line analysis system. The first
The evaluation processing means and the second evaluation processing means are, for example,
From the start of operation to the end of operation based on the electronic information received from the customer terminal
Behavior analysis module to identify the behavioral characteristics of a moving object until completion
By statistical analysis of behavioral operations by vehicle, driver and customer
A statistical analysis module for generating information for determining driving tendency characteristics
Vehicle, individual driver's driving tendency or specific driving
Difference of driving tendency of other drivers with respect to driving tendency of driver
The tendency analysis module that generates the judgment information for judging
And fuel consumption trends of vehicles and vehicles are analyzed and quantified by driver
To distinguish between efficient and inefficient driving
Fuel correlation analysis module that generates determination information for
Modules or multiple modules simultaneously
The relative evaluation process can be performed by activating
And are characterized . The relative evaluation process is performed by, for example, the method described above.
Of the first electronic information or the second electronic information stored in the memory
Numerical value for identifying the operation status of each driver
The average value of the data for each predetermined period and the
Calculating a standard deviation of the numerical data for identifying the row status is a process of comparing the deviation between the average value and the standard deviation. If the first electronic information and the second electronic information are
Characterize the behavioral characteristics of multiple types of moving objects when a vent occurs.
If the information including the numerical data for the constant, the relative evaluation processing, performs a correlation analysis between dissimilar data included in the first electronic information or the second electronic information of the individual driver, this correlation analysis It can be a process to quantify the causal relationship of the event occurrence by the driver based on the result.
It The relative evaluation process is also stored in the memory.
Of the first electronic information or the second electronic information provided, all the numerical data for identifying the operating status by the driver
A process of calculating the average value and the standard deviation 1 of the transferee, and the average value and the standard deviation 2 of each driver, and comparing the calculated standard deviation 1 and the standard deviation 2 , or also the first electronic information stored in said memory met process detects the habit of the driver due to the presence or absence and the driver of the occurrence of the dangerous behavior by comparing the second electronic information and a predetermined condition pattern May be. Na
When the relative evaluation process performs the comparison process
The first evaluation processing means and the second evaluation processing means
Can also be configured to identify a driver who has a special operation status different from the normal operation status as the driver who is the evaluation target . The receiving means is the communication
Through the network, the first electronic information a predetermined time interval or Li
Along with the online received in real-time, may read the
Is configured to receive the second electronic information offline at a longer time interval than the first electronic information through the storage mechanism, and when the receiving means receives online, the first evaluation processing means is activated, and The second evaluation processing means is activated when the receiving means receives the offline information. The first evaluation processing means is, for example, an evaluation condition pattern that is predetermined according to the needs of the customer.
And the first electronic information are compared with each other to perform a typical relative evaluation process, and the second evaluation processing means is a data evaluation device.
To the knowledge of the database of the experts and the second electronic information
Based on this, a relative evaluation process is performed. The information presenting means, for example, classifies the result information of the relative evaluation processing into any of the same customer, between customers of the same industry, and between customers of different industries, and each customer can visually recognize the classification result through the customer terminal It is presented in various forms. Alternatively, the information presenting means outputs a message output according to the evaluation result of the operation status.
A message that stores sage information in association with evaluation items
It is equipped with a database, and can be
The message information corresponding to the specified evaluation item is added to the above message.
Read this message information from the sage database
Embedded in the information of the driver who was evaluated above.
Configured to force. The information presenting means is for each customer.
Data that records the evaluation result form for distribution to
It has a base, and the result information of the relative evaluation process is
The form is read out from the form database and is displayed on the form.
There is also a mode in which the output is performed by wrapping .

The present invention also provides for each of a plurality of customers to operate.
From each customer terminal to work, operation status of the mobile each due to driving of the driver belonging to the customer quantified each driver
Read the digitized electronic information on a communication network or a specified recording medium.
A receiving means for receiving through taking mechanism; and the electronic information storing means Ru is accumulated in a predetermined memory electronic information received from the customer terminal; from the electronic information stored in the memory
A driver with a relatively low number of occurrences of unusual behavior of a moving body
As well as identifying, certifies luck <br/> line status of the mobile body according to the identified driver as a model operation situation, the operation status of the mobile body according to another driver to be evaluated this model operation status
By performing relative evaluation process, the evaluation processing means for generating information representing a driving operation tendency of the other drivers; generated
It comprises a; was driving information indicating the operation tendency and information presentation means for presenting to the customer the customer terminal to which the other driver belongs
That, to provide a service analysis system. Each operation analysis system described above can also be realized by cooperation between a computer and a computer program readable by the computer. When information processing by each of the above functional means is executed stepwise by such a computer, the procedure of each step is grasped as an operation analysis method by the computer. The computer program may have any form as long as it is computer-readable.

[0008]

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment in which the present invention is applied to an operation analysis system for intensively analyzing the operation status of a vehicle will be described below. In the operation analysis system of the present embodiment, as shown in FIG. 1, a customer terminal 2 provided for a customer (hereinafter, simply referred to as “company”) such as a company or an individual business establishment can access via the Internet L. It is provided on the site. The operator of this site is a person who becomes a third-party management organization for each company. The customer terminal 2 is capable of recording information on a high density recording medium MO such as a magneto-optical disk. The operation analysis system 1 may be provided at only one site or at multiple sites.
When a plurality of sites are provided, the electronic information representing the operation status managed by each site should be linked to each other and updated at the same time. In the following description, an example will be given in which one operation analysis system 1 is provided at one site.

<Customer Terminal> First, the customer terminal 2 will be described. The customer terminal 2 is operated by the customer, and CP
U, various RAM, ROM, external storage device, BIO
It is a computer that operates under a control program such as S and an operating system (OS). As shown in FIG. 2, this computer accommodates a memory medium MB such as a memory card or a memory chip of a data recorder 3 which will be described later and records and reads data in a reader / writer 21 and a high-density recording medium MO. A disk drive 22 for recording the data, a display device 23 for confirming an input screen of various setting information and an analysis result, a data input device 24 for inputting data and commands, and a communication connection mechanism for communication connection with the Internet L. 25, an input / output control mechanism 26 for controlling input / output between these devices or mechanisms and internal functions, and a company involved in operation analysis and information transmission by the CPU reading and executing a predetermined computer program. It has a data processing mechanism 27 for processing.

The processing on the side of the company referred to here is the processing of collecting electronic information representing the operating status occurring every day, the processing of generating "one-line data per day", "dangerous behavior list", etc., which will be described later. The communication connection mechanism 2 uses the generated one-line aggregate data per day.
The process of sending to the operation analysis system 1 via 5, the process of recording raw data and the like on the high-density recording medium MO, the operation analysis system 1 is accessed via the communication connection mechanism 25, and the evaluation result, message, etc. are known. Processing, etc. It is desirable that the data processing mechanism 27 be equipped with a known Internet Explorer (a trademark of Microsoft Corporation) having a web browser function or a browser having an equivalent function so that the evaluation result and the like can be known through this browser. .

Some companies have an intranet that connects a plurality of customer terminals 2 for each section and some do not. Further, regardless of whether or not an intranet is built, in addition to the program for performing the above-mentioned processing which the above-mentioned data processing mechanism 27 has at least based on the recorded data of the memory medium MB of the data recorder 3, the company side The data processing mechanism 27 is an operation analysis program (hereinafter, “dedicated software”) for performing operation analysis according to the company's purpose and displaying the analysis result.
There are some that are installed in and some that are not. The dedicated software has a function of performing the above-mentioned processing which the above-mentioned data processing mechanism 27 has at a minimum, and collects data measured by the data recorder 3 every predetermined period, for example, every one business day or every month, By performing statistical processing, data such as vehicle operation history, date and time of occurrence of dangerous behavior, place of occurrence, frequency of occurrence, etc. are automatically created visually using graphs, histographs, lists, etc. Is software for. The created form is displayed on the display device 23 and, if necessary, is output to an illustrated or printing device and printed. A daily report is a collection of one business day, and is classified into an operation management daily report and a safe driving daily report according to the purpose of aggregation. A monthly report is collected for each month, and for example, the fact that dangerous behavior has occurred in January, the time, and the like are recorded in time series on a form. Thereafter, a company that builds an intranet and has the above-mentioned dedicated software loaded in the data processing mechanism 27 is an "A type company", and a company that does not build an intranet but has the dedicated software loaded is a "B type". "Company", a company that does not build an intranet and does not have the above-mentioned dedicated software is called a "C type company".

In the present embodiment, each of the above-mentioned three types of companies collects electronic information representing the operation status of the vehicle by all the drivers of each company using the data recorder 3, and the collected information is used as the company name and section. With the management data including the name, the type of vehicle, the driver's name, etc., the operation analysis system 1 is concentrated through the customer terminal 2 connected to the Internet L or through the high-density recording medium MO.

<Data Recorder> The data recorder 3 is
What was described in Unexamined-Japanese-Patent No. 2000-171267 can be used. That is, the data recorder 3
As an example, as shown in FIG. 3, the sensor unit 31, the medium accommodating mechanism 32, and the recorder unit 33 are included.

The sensor unit 31 measures the two-dimensional posture of a vehicle equipped with the data recorder 3. The sensor unit 31 measures the angular velocity data (yaw rate) around the three-dimensional axis of the vehicle, the angular velocity meter 311z, the front-rear, left-right direction of the vehicle. 312x, 312y for measuring acceleration data (accelerator acceleration, brake acceleration, turning acceleration, etc.), GPS receiver 313 for receiving GPS data representing the current latitude / longitude / speed / direction / time of the vehicle, vehicle instrument It has a pulse acquisition mechanism 314 for acquiring vehicle speed pulses from the above. Among the data measured by the sensor unit 31, the angular velocity data, the acceleration data, and the data representing the vehicle speed are the measurement data representing the behavioral characteristics important in evaluating the driving tendency of the driver. The GPS data and the vehicle speed pulse can be appropriately switched, or one of them can be preferentially output. For example, GPS
GPS data can be used on a normal road where data can be received, and vehicle speed pulses can be used to represent speed and the like in tunnels where GPS data does not reach, and the current position can be corrected based on GPS data received up to that point. It is like this. The medium accommodating mechanism 32 detachably accommodates the memory medium MB to support data reading and data writing with the recorder unit 33.

The recorder unit 33 includes a CPU and a memory, and is formed by the CPU reading and executing a predetermined program recorded in a part of the internal memory. The preprocessing unit 331, the event extracting unit 332, and the like. Data recording unit 3
It is configured to include at least 33 functional blocks.
The pre-processing unit 331 temporarily stores the measurement data output from the sensor unit 31 in the buffer 331a, and
The offset component and the drift component included in the angular velocity data and the acceleration data of the accumulated data are removed. In addition, matching processing is performed between autonomous data composed of angular velocity data and acceleration data and GPS data.
That is, since the GPS data has a delay of about 2 seconds with respect to the autonomous data, matching processing with the autonomous data 2 seconds before is performed. The event extracting unit 332 uses the accumulated data from which the offset component and the like have been removed by the pre-processing unit 331 to represent data (a state called an “event”) that exceeds a predetermined threshold (angular velocity data, acceleration data, GPS). Data, vehicle speed pulse, etc .: hereinafter, "event data") is extracted for each preset aggregation time, and the extracted event data, event occurrence date and time (GPS time), event occurrence location and initial information (recorder number, driver name) , Vehicle number name, etc.) to the data recording unit 333. Measurement date and time (G
PS time) is the date and time obtained by adding 9 hours to the world standard time received by the GPS receiver 312. The event occurrence place is position information that can be specified by GPS latitude / longitude.

The data recording unit 333 processes the data processed through the processing by the preprocessing unit 331 and the processing by the event extraction unit 332 as status collection data, event data,
The classified data is classified and the classified data is recorded in the memory medium MB. Also, the vehicle ignition O
In addition to N / OFF, power ON / OFF of data recorder 3, running / stopping, when GPS communication normality / abnormality occurs, the occurrence time and content (when, where and what happened) are pre-specified. Record with the specified bit pattern.

The memory medium MB is, for example, a portable memory medium having a non-volatile memory area. The above-mentioned management data, status collection data, event data, and aggregate data are recorded in the memory area as needed.

The procedure for recording information representing the operating status in the data recorder 3 in the memory medium MB is as follows. As a premise, data for identifying the vehicle and its driver and data for identifying the driving purpose are set in the memory medium MB as part of the management data. When driving is started and the vehicle starts to move, various measurement data representing behavior characteristics of the vehicle measured by the sensor unit 31 are sequentially accumulated in the buffer 331a. The recorder unit 33 calculates the measurement start time from the GPS data (GPS time) and records it in the memory medium MB as a part of the state collection data. When an event occurs, the measurement data for a certain period before and after that, for example, 30 seconds is extracted by scanning the buffer 331a and recorded as event data in the memory medium MB. The threshold value is not a fixed value but a variable width so that it can correspond to the offset of the instrument and the slope. For example, the angular velocity meter 311z
Difference between the output of and the average value for the past 3 seconds, or the accelerometer 3
Whether or not an event has occurred is determined by whether or not one of the differences between the outputs of 12x and 312y and the average value for the past 3 seconds exceeds a preset fluctuation range. The meter output and the average value can be obtained by vector composition of three meter outputs.

Whenever the traveling condition is changed, the traveling distance, GPS latitude / longitude, and GPS time are read out from the buffer 331a, and the status flags (ignition ON / OFF, traveling / stop, etc.) described below are read together. Is recorded in the memory medium MB as state collection data. When the read data exceeds the maximum value of the measurement data of the type up to that point, that is, the positive absolute maximum value, the read data is updated to the new maximum value. Also, if the read data exceeds the minimum value up to that point, that is, the negative absolute maximum value,
The read data is updated to the new minimum value. The read data is integrated to obtain the average value, and "1" is added to the integration count. The above processing is repeated until the preset total time elapses, and when the total time is reached,
The various read data that have been integrated are divided by the number of integrations to obtain the average value of the individual measurement data. Memory medium M with the maximum, minimum, and average values of each measurement data as aggregated data
After recording in B, each variable is cleared and the same processing is repeated.

When the engine is turned off, the power supply of the data recorder 3 is maintained (for example, by a capacitor) until the last counting time elapses, and the data recording process is terminated when the last counting time has passed. To do so. By adopting such a recording form, it becomes possible to more prominently represent the tendency of the driving operation, and it is also possible to save the data capacity of the memory medium MB side.

When it is clear that the vehicle is completely stopped, that is, when the engine is not OFF but the measurement data does not fluctuate continuously for a certain period of time or more, data is recorded while thinning out the time. . As a result, the data capacity can be more significantly saved while detecting the vehicle stop state.

4 to 10 are explanatory views showing images of electronic information recorded in the memory medium MB according to the above-mentioned embodiment. Figure 4 is a diagram showing the overall image,
It is shown that the aggregated data, the event data, and the state collection data are recorded in an arbitrary area in chronological order of data generation. “ID” is identification data of the data field, and the upper several bits represent the block configuration of the field. FIG. 5 is a structural diagram of the main part of the management data.
"30h" to "33h" are IDs, "lot No." is identification data of manufacturing lots, "Ax sf" and "Ay sf" are scale factors of acceleration data in the X-axis and Y-axis directions, respectively, and "q sf". Is the yaw rate scale factor. The scale factor is one of the condition data related to the accuracy of measurement. "Vehicle speed" is speed data obtained from a vehicle speed pulse, and is adopted in preference to speed data based on GPS data. “Serial No.” is a unique number of the manufacturing lot.

6 and 7 are structural diagrams of event data. The event data is recorded as a set from the previous event recording time to the subsequent event recording time, centering on the event occurrence time. FIG. 6 (a) shows an event head placed at the beginning or at a break of this event.
(B) is autonomous data (Ax, etc.) representing the event content and vehicle speed data. FIG. 7 shows the speed acquired from the GPS data, the information on the event occurrence location, and the GPS time. "S
“Ts” is data representing non-positioning / two-dimensional positioning / three-dimensional positioning / differential positioning. In addition, GPS
The data occurs in the event data every GPS reception. FIG. 8 is a structural diagram of state collection data. This data is recorded in a structure shown in the drawing at every predetermined interval (for example, 1 second) every time the traveling situation changes. Lower "state"
Is a status flag represented by a bit pattern. For example, the first bit is ignition (logic 1: ON, logic 0: OFF), the second bit is power supply voltage (logic 1: abnormal,
The logic 0: normal) and the third bit are assigned like the vehicle state (logic 1: running, logic 0: stop). The number of bits and the content of state expression corresponding thereto can be arbitrarily added or changed according to the purpose of analysis. 9 and 10 are structural diagrams of aggregated data. FIG. 9 is autonomous and vehicle speed total data, and FIG. 10 is GPS total data. In FIG. 10, “sts” is data indicating whether GPS data could be collected without loss during the aggregation period. As for "latitude" and "longitude", the positioning data closest to the center (average value) is recorded. As the simplest process, for example, if the total period is 1 minute, the data of the part where the current second is 30 is adopted. If the aggregation period is within 1 minute, it is considered that there is no positioning data and no recording is performed. In addition, the above-mentioned event data, total data, and status collection data that are randomly recorded are IDs.
Can be identified by. For example, if the IDs are “00h”, “03h”, “10h”, and “11h”, the event data is “02h”, “20h”, “21”.
In the case of "h" and "22h", they are identified like aggregated data.

<Sending form of electronic information at customer terminal 2> Memory medium MB of data recorder 3 as described above
The information recorded in is temporarily stored in the customer terminal 2,
A certain amount of processing is performed. In the A-type company, each section (business office, branch office, etc.) connected to the intranet performs tabulation, relative comparison, and display thereof. Then, the result information is accumulated in a memory area (not shown) in the customer terminal. In a B-type company, an intranet is not constructed, so it is not classified into sections, but aggregation, relative comparison, and display are performed for a certain period, and the result information is stored in the memory area of the customer terminal. Since the C type company cannot display the information by the dedicated software, it analyzes the record information of the memory medium MB so that the information can be transmitted and stores it in the memory area of the customer terminal 2. All the information accumulated in the customer terminal 2 is finally sent to the operation analysis system 1. There are two forms of sending at this time. The first form is
The transmission is via the Internet L, and the accumulated electronic information is transmitted once a day or in real time through an electronic mail or the like. The second form is a form in which all data accumulated for a certain period, for example, one month, is recorded on a high-density recording medium and sent once a month at regular intervals. In the case of the second mode, the operation analysis system 1 stores raw data for a certain period of time on behalf of each company so that past data can be analyzed according to the needs of the company. Hereinafter, the first form of transmission form is “online transmission”, and the second form of transmission form is “offline transmission”.
Called.

The electronic information transmitted online is one-line-per-day aggregated data, dangerous behavior list, and hidden data generated on that day. The “1 line per day aggregated data” is data aggregated to be one line for each driver of each company (in the case of an A type company, each section connected to the intranet). This one line per day aggregated data,
Vehicle departure information (time / location, ODO meter value), travel distance (distance detected by data recorder, ODO meter input distance), total travel time (time traveled during operation), total operation time (from storage to storage) Time), longest continuous running time, average speed of high speed running / general running, maximum speed and total time, total idling time, total stopping time, maintenance record, situation / cause of accident / delay / abnormality, work site, etc. It includes departure time / place, arrival time / place, and work content (running, actual or empty vehicle, unloading after arrival, loading or rest, etc.) for each. If necessary, the following data is also included. -The total number of sudden accelerations and sudden accelerator ratios (total sudden accelerators / accelerations) that exceed the prescribed set value and are considered to be behaviors of the person.-Total sudden brakes and total sudden braking (total sudden brakes / number of brakes). ) ・ Sudden steering wheel total number and sudden steering wheel ratio (total sudden steering wheel / steering wheel number) ・ Number of stop operations during start / acceleration, number of stop operations during braking, number of stop operations during turning, number of stop operations during lane change ・Increased amount of fuel used due to the number of retreats on the road, number of dangerous behaviors, sudden start, etc., increase in cost.
On the side, the basic data regarding the operation status of the vehicle by each driver can be accumulated in a state where they can be aggregated and compared with each other.

The "dangerous behavior list" is a list of occurrence times and locations of dangerous behaviors for each type of dangerous behavior.

The "hidden data" is more detailed data than the one-line a day aggregated data that cannot be seen by the company itself. By performing detailed evaluation processing based on this hidden data, detailed analysis and evaluation results that cannot be obtained with dedicated software can be obtained, thereby allowing each company to concentrate electronic information on the operation analysis system 1. It will be possible to give motivation for. Examples of hidden data include velocity histogram digitized data, acceleration / deceleration G histogram digitized data, lateral G histogram digitized data, and 1-minute aggregate data (data obtained by aggregating various data every 1 minute and averaging data). There is digitized data etc.). Acceleration / deceleration G histogram quantified data is divided into two speed ranges (arbitrarily settable) such as general running and high speed running because the degree of danger varies depending on the speed range even for the same G. For example, it is divided into less than 20 kilometers per hour and more than 20 kilometers per hour. The lateral G histogram digitized data is divided into three speed ranges. For example, less than 40 kilometers per hour, 40
80 kilometers per hour and less than 80 kilometers per hour, 80
Kilometers per hour or more.

The contents of the electronic information transmitted by offline are as follows:
All processed data (in case of A type company) accumulated by company and section, all processed data (in case of B type and C type company) accumulated by company, and raw data (recorded in memory medium MB) Binary data).

<Configuration of Operation Analysis System> Next, the configuration of the operation analysis system 1 of this embodiment will be described. The operation analysis system 1 has a CPU, various RAMs, ROMs, and external storage devices, and is realized by a computer device that operates under a control program such as BIOS or OS. This computer device is provided with a communication connection mechanism 11 for performing a communication connection for performing data communication with each customer terminal 2 owned by each type of company described above via the Internet L, and the above high-density recording medium MO. Disk drive 12, display device 13, and data input device 1 for reading recorded electronic information
4 and an input / output control mechanism 15 for controlling input / output between these devices or mechanisms and internal functions, and further, a customer-specific DB 161, a message DB 162, and a form DB.
163, a database management system (DBMS) 16 that controls the storage and reading of information in these DBs 161 to 163, and the operation status based on the information stored in each DB 161 to 163 and the electronic information received each time Processing device 1 for performing various data processing related to management
It has 7.

In the customer-specific DB 161, data relating to the operation status of vehicles by all drivers of each company is stored for each item for a certain period of time, and the data can be read and analyzed according to needs. The customer-specific DB 161 includes a company-specific master and a plurality of folders. Folders are divided by company and managed by customer code numbers. Items to be stored include one-line total data per day, hidden data, dangerous behavior list, and raw data. The company-specific master records the data transmission status and the like for each company by assigning a customer code number. The recorded data includes company information (management of various information such as industry, region, company size, number of employees, number of owned vehicles), aggregate information (data transmission status of the company and evaluation result distribution status from the operation analysis system 1). ), Company-specific evaluation result information (information indicating the latest evaluation result for each company that is analyzed and updated and stored).

The message DB 162 stores message information to be output according to the evaluation result of the operation status in association with the evaluation items, and applies the corresponding company, driver name, etc. to the output. For example, if a driver with a lot of sudden braking during a turn can be identified, the message to the company to which the driver belongs is that "Mr. XX seems to have a lot of sudden braking during a turn. It is one of the major factors leading to a track deviation accident. It is necessary to try to predict driving such as a curve with poor visibility. ”Prepare the text data.

In the form DB 163, evaluation result forms to be distributed to each company are recorded.

The processing device 17 is formed by the CPU of the computer device reading and executing the computer program of the present invention, and the Web server function 1
71, an evaluation processing unit 172, a data editing unit 173, and a data output unit 174. The Web server function is a well-known server function that presents an HTML screen to each customer terminal 2 and delivers an electronic mail (including an attached document) via the communication connection mechanism 11.

The evaluation processing unit 172 activates and executes any one of the behavior analysis module M11, the statistical analysis module M12, the tendency analysis module M13, the fuel correlation analysis module M14, or a plurality of modules at the same time, so that each type of customer Performing a relative evaluation process of the operation status based on the electronic information received from the terminal 2 and the information accumulated in the customer-specific DB 161 to identify the driver who has the special operation status in which the evaluation result has a difference of a predetermined value or more. You can also The predetermined value here is a threshold value set in advance,
It is an average value or a specific value of data from a plurality of customer terminals 2 that changes moment by moment. The "special operation status" means an operation status that has characteristics different from the normal operation status, such as dangerous behavior, an operation status that is not dangerous but has a certain habit, or a unique operation status compared to the past operation status. Refers to the date or time of recording. The detailed contents of the evaluation processing unit 172 will be described later.

The data editing section 173 has an evaluation processing section 172.
Processing results are classified into companies, companies of the same type, and companies of different types, and these are classified by the Web server function 171.
Edit into a format of electronic information that can be presented to companies through. If necessary, the form DB16
The form is read from 3, and electronic information is mapped on this form. The data output unit 174 is a data editing unit 173.
The electronic information edited in (1) is output to the corresponding company through the Web server function 171 or can be output by electronic mail.

<Detailed Functions of Evaluation Processing Unit> Here, the functions of the evaluation processing unit 172 will be described in detail. First, the functions of the modules M11 to M14 will be described. The behavior analysis module M11 identifies behavior characteristics of the vehicle from the start of driving to the end of driving from the electronic information received from each company. The behavioral feature is specified by simply extracting a combination of data representing the behavioral feature and comparing the extracted combination with an evaluation condition pattern determined in advance for each behavioral feature. When the behavioral characteristics are specified in detail, the raw data measured by the data recorder 3 is used to analyze an expert or the knowledge of the expert by an expert system that is a database. In addition, in order to identify the behavioral characteristics more accurately,
By recognizing the driving purpose from the management data, the evaluation condition pattern according to the driving purpose is selected even in the same event in the same vehicle. For example, 80 per hour
The km is determined to be high speed traveling for general road traveling, but normal traveling for highway traveling. Also,
The interval of data reading when traveling on a highway is set to be longer than that when traveling on a general road. Similarly, in the case of private use, for example, the place where the operation is interrupted is not recorded. By performing the behavior analysis as described above, it is possible to quantitatively determine the presence / absence of dangerous behavior or bad habit, the occurrence frequency thereof, and the traveling history.

The statistical analysis module M12 performs statistical analysis of behavioral operations for each driver and each company, and generates driving tendency judgment information based on the statistics. For example, in the case of analysis by driver, data representing behavior operations by all drivers of each company or all companies is averaged for each type of the behavior,
Calculate the relative value of each driver to the average value. The type in this case is, for example, the number of behavior occurrences,
Running speed, constant speed running time, idling time, etc.,
As a result, it becomes possible to statistically grasp the characteristics of the driving tendency of the individual with respect to the whole. In addition, from the viewpoint that few people are willing to drive dangerously, the data area of the driver with statistically few dangerous behaviors is defined as the safe driving area, and whether the driver is a dangerous driving tendency depends on whether it deviates from this data area. It is also possible to use an analysis form that grasps whether or not.

The tendency analysis module M13 generates judgment information for judging the driving tendency of an individual driver or the difference of the driving tendency of another driver with respect to the driving tendency of a specific driver. . The behavior analysis module M11 can objectively grasp the driving tendency from the history of the behavior during traveling, and the statistical analysis module M12 can grasp the difference in the driving tendency of the individual with respect to the whole. However, the behavior analysis module M11, etc., correlates the traveling speed and the motion acceleration (front and rear G, lateral G), the correlation between the angular velocity and the motion acceleration, or the fluctuation of the accelerator and the steering wheel operation during traveling due to the day and time zone. Not considered. For example, when driving, it is often experienced that even when the accelerator is stepped on with the same strength, the risk is higher in high-speed traveling than in low-speed traveling. The same applies to the steering wheel operation. Even when driving in a fatigued state, the operation tends to be different from that in a healthy state.
These operations include, for example, front and rear G, even if the average speed is the same.
It appears as the lateral G and the magnitude of the displacement of the azimuth angular velocity, or appears as an average value or standard deviation thereof that is unusually large as compared with usual. In other words, the driving tendency is evaluated by performing correlation analysis between different types of data such as speed data and acceleration data, and by analyzing the change over time or changes over time of various data, and evaluate the driving tendency and determine the degree of traffic accidents and fatigue. It is presumed that it will be easier to determine the correlation of Therefore, the tendency analysis module M13 considers the cross-correlation among the collected speed data, longitudinal G, lateral G, azimuth angular velocity data, and the like to determine the driving tendency, the driving traffic accident, the fatigue degree of the driver, and the like. The determination information for determining the correlation of is generated.

Various kinds of information can be considered as the judgment information, but here, each driver can grasp the tendency of safe driving or dangerous driving by using the average value and the standard deviation of the acceleration for each speed range. Here is an example of the case. The average value and standard deviation represent, for example, the distribution of acceleration in a certain speed range. FIG. 12 is a diagram showing an average value (bar X) of accelerator acceleration and its distribution by a driver who performs a standard driving, the horizontal axis represents acceleration (G), and the vertical axis represents occurrence frequency of acceleration (1a). Is. FIG. 13 is a diagram showing the distribution of accelerations by the driver for each speed range. "Low speed range" is 30km
It is assumed that the speed range is less than / h, the "medium speed range" is less than 70 km / h, and the "high speed range" is more than 70 km / h. It can be seen from FIG. 13 that the accelerator operation is relatively safe in the low speed range, but becomes more dangerous in the high speed range. Whether it is a safe driving tendency or not can be judged more simply by how small the average value and standard deviation of individual drivers are, or by how much the distribution of analysis subjects is different from the distribution of multiple drivers. can do.
In the latter case, a driver with less deviation can be determined to have a safe driving tendency. However, such a method alone does not always provide sufficient determination accuracy.
In order to improve accuracy, it is rational to compare the distribution of drivers who actually drive safely as a reference. Therefore, in this embodiment, a distribution based on the total data of the drivers in which the number of times of occurrence of dangerous behavior is relatively small within a predetermined period, more preferably 0 times, is obtained, and this is set as a safe driving pattern. Then, by comparing the safe driving pattern with the distribution of the analysis target persons, information indicating whether or not the analysis target person has a tendency of safe driving is generated. For example, FIG. 14 shows a difference in distribution of Mr. A, who is an analysis target, with respect to a safe driving pattern of Mr. B, who is a driver of safe driving in a certain speed range. In the illustrated example, A
Since his distribution deviates considerably from the safe driving pattern, it is hard to say that it is a safe driving tendency.

The standard deviation of the accelerations of all the drivers or by the individual drivers can be determined as follows. First, low speed range (speed range less than 30 km / h),
Medium speed range (speed range less than 70 km / h), high speed range # 1 (70
High speed range # 2 (high speed range from km / h to less than 100 km / h)
An average value in (speed range of 100 km / h or more) is obtained. That is, the speed data and the front and rear G are read for each frame. If the speed is less than 30 km / h, G before and after is added to the “total # 1” area of the work memory (not shown), and one is added to the “addition count # 1”. If the speed exceeds 30 km / h and less than 70 km / h, the "total #
The front and rear G are added to the "2" area, and one is added to the "addition count # 2". Speed exceeds 70km / h and 100km /
If it is less than h, G before and after is added to the “total # 3” area of the working memory, and one is added to the “addition count # 3”. If the speed is 100 km / h or more, the "total #
The front and rear G are added to the "4" area, and one is added to the "addition count # 4". If it is within the aggregation period, the process returns to the first processing, and if the aggregation period has ended, “total # 1” to “total # 4”
The average value (cumulative value of front / rear G / number of additions: first average value to fourth average value) of each area is calculated.

After each average value is calculated, the front and rear G for each speed range of the driver are read out for each frame from the beginning of the counting period. When the speed is less than 30 km / h, the square of (first average value−before and after G) is added to the “dispersion # 1” area of the working memory. If the speed is higher than 30 km / h and lower than 70 km / h, the square of (second average value−before and after G) is added to the “dispersion # 2” area of the working memory. Speed is 70km / h
If it is greater than and less than 100 km / h, the square of (third average value−before and after G) is added to the “dispersion # 3” area of the working memory. When the speed is 100 km / h or more, the square of (4th average value−before and after G) is added to the “dispersion # 4” area of the working memory. If it is within the aggregation period, the process returns to the first processing, and if the aggregation period has ended, "Dispersion # 1" to "Dispersion # 4"
The standard deviation in each area of is calculated. Each standard deviation is
It can be calculated by obtaining the square root of the value obtained by dividing the added value in each dispersion area by the number of additions.

When the parent company to be compared is the whole company or the whole sales office, the judgment information is generated in the following procedure, for example. First, the average value of front and rear G for each entire speed range is obtained by the above procedure, and this is set as X. Also, the front and rear G for each overall speed range
Similarly, the standard deviation of is obtained, and this is designated as S. Further, an average value of front and rear G for each speed range of each driver is similarly obtained, and this is set as M. The relative magnitude of the displacement of each driver with respect to the whole can be calculated by the formula "(MX) / S)". It can be determined that the driver with a smaller value has a tendency to drive safely.

The fuel correlation analysis module M14 analyzes and quantifies the fuel consumption tendency of the vehicle for each driver, and generates judgment information for distinguishing between the efficient traveling and the inefficient traveling. Specifically, the quantification in this case is performed by calculating a predetermined fuel consumption amount using the idling time of the vehicle specified by the behavior analysis module M11, the traveling speed, and the accumulated acceleration value based on the aggregated data as variables. Assuming that the idling time is I, the accumulated acceleration value is Gd, and other factors, for example, a constant according to the running average speed or running time is α, the fuel consumption amount is represented by a calculation result of approximately aI + bGd + α. That is, as long as the number of starts is small and the constant speed running time is continued, the accumulated acceleration value Gd approaches "0". Therefore, the fuel consumption depends on time elements such as the idling time I and the running time, and the average running speed. It becomes a function with various velocity elements. Each coefficient a, b
Can be obtained as follows. (Coefficient a) In the case of “Gd = 0, α = 0”, the consumed fuel amount is the calculation result of coefficient a and idling time I. Therefore, the idling state is maintained for a certain period of time, and the fuel consumption amount at this time is measured. The coefficient a is obtained by substituting this into the above arithmetic expression. (Coefficient b) The vehicle runs at the same average speed when the idling time I is 0. Assuming that the fuel consumption amount and the accumulated acceleration value during the n-th traveling are “fuel consumption amount n” and “acceleration accumulated value Gdn”, respectively, the fuel consumption amount n is “b · Gdn +
It is represented by "α". Since α is common because of the same average speed, the coefficient b can be specified by dividing the difference in the fuel consumption amount n at each time by the difference in the accumulated acceleration value Gdn. (Evaluation) The coefficients a and b and the constant α are determined by the above procedure, the idling time I and the accumulated acceleration value Gd are obtained from the state collection data, etc., and the calculation result of “aI + bGd + α” is obtained. If the calculation result is relatively small, it can be evaluated as “efficient driving”, and if it is large, it can be evaluated as “inefficient driving”. For example, by displaying the evaluation results of a plurality of drivers in an integrated manner in the same data field, the fuel consumption tendency of each driver can be determined at a glance.

<Evaluation Processing Mode> In this embodiment, two types of relative evaluation processing are executed. One is a routine and immediate process for electronic information sent online.
The third is the badge processing by the expert evaluation for the electronic information transmitted offline.

The immediate process is a process for automatically activating each of the modules M11 to M14 to perform a typical relative evaluation process based on a predetermined evaluation condition pattern according to the needs of the company. Specifically, a routine numerical analysis process that is performed based on 1-line per day aggregated data, a warning process that outputs a message to alert a data sudden change person from the 1-line aggregated data per day and the dangerous behavior list , A hidden data simple fixed form analysis process for performing a fixed numerical analysis based on the hidden data, a comparison and aggregation process for each section and a driver for a customer terminal in which an intranet is not built. Further, based on the management data included in the electronic information from each customer terminal, the same type of data comparison between different industries or the same type of industry, different data correlation, regional comparison, etc. are performed. The comparison result is immediately presented to the relevant company in the form of an individual message, or the customer freely browses his / her data from the terminal.

In the badge processing, raw data is analyzed in detail by using each of the modules M11 to M14 described above, and then the unit is determined based on the expert's judgment or an expert system in which the expert's knowledge is stored in a database. It is a process of performing detailed driving habit data analysis of a period, dangerous behavior data analysis by comparison with a condition pattern, and correlation analysis using those analysis results. This badge process may be performed retroactively to the accumulated data of a certain past period, or may be performed on the accumulated data for a predetermined time from the present point. The result of the badge processing is tabulated on a radar chart or graph, further mapped on a form such as daily report, seasonal report, monthly report, and presented to the corresponding company. Also,
It is presented to the relevant companies in the form of individual messages based on the evaluation results.

<Operational Form> Next, an operational form of the operation analysis system 1 will be described. FIG. 15 is a processing procedure diagram of information collection / transmission performed in a company. Each company totals the daily operating conditions of all the vehicles it owns and stores raw data (step S10).
1). That is, the contents of daily behavior of the vehicle driven by the driver are recorded in the memory medium MB of the data recorder 3, respectively. Then, after the operation work is completed, the memory medium MB is attached to the reader / writer 21 to read the recorded information, and the recorded information is totaled every day. When dedicated software is installed in the data processing mechanism 27 of the customer terminal 2 (in the case of A type companies and B type companies), various forms are created respectively (step SS102: Yes, S103), and the data contents of the forms To confirm. If necessary, the data is corrected (step S104). Based on this data, one-line daily aggregate data is created and a dangerous behavior list is created (step S105). When the dedicated software is not installed in the customer terminal 2, the process immediately proceeds from step S101 to step 105. After that, the one-line data per day and the dangerous behavior list are transmitted online together with the hidden data to the operation analysis system 1 (step S10).
6). Further, the transmitted information and raw data are stored in a predetermined memory area (step S107). The processing of the above step 101 is repeated until January has passed since the closing date of the previous month (step S108: No). When one month has passed, the stored raw data and the like are recorded in the high-density recording medium MO, and this is sent off-line to the operation analysis system 1 (step S108: Yes, S109).

In the operation analysis system 1, the operation analysis is performed according to the procedure shown in FIG. That is, if you receive electronic information,
If it is an online receipt, the above-mentioned immediate processing is executed (step S201: Yes, S202: Ye
s, S203), if it is an offline receipt, the above-mentioned badge processing is executed (step S201: Yes, S).
202: No, S204). Then, each processing result is presented to the source company (step S205). In this case, the result of the immediate processing is presented on the next day, and the result of the badge processing is presented on a predetermined day of the next month. Specifically, the information is presented by extracting the corresponding form from the form DB 163, mapping the processing result to this and attaching it to an e-mail, and posting the mapped form screen on the Web. There is a presentation of. After that, the received electronic information and the result of each processing are accumulated in the corresponding customer field of the customer-specific DB 161 and used as the comparison information of the travel condition analysis by the driver of another company (step S206).

FIG. 17 shows the procedure for each company to obtain the analysis result of electronic information sent online or offline by itself through the Web. That is,
After connecting to the Internet L via the communication connection mechanism 25, the URL (Uniform Resource Locator) of the operation analysis system 1 is displayed on the browser screen displayed on the display device 23.
Is accessed (step S301). When the page screen of the operation analysis system 1 is displayed, the company ID, password, and other data required by the system are input to move to the evaluated guide page (step S302). A desired item (evaluated data item) is selected by the data input device 24 (step S303). The operation analysis system 1
When the selected item is recognized, the required form is the form DB16.
Since the results of the immediate processing or the badge processing are mapped and presented after being extracted from No. 3, the analysis result of the item is displayed on the browser screen (step S304). If necessary, the analysis result is printed or stored in a disk or the like (step S305). As described above, the operation analysis system 1 according to the present embodiment receives electronic information, which is collected by each of a plurality of companies and represents the operation status of a vehicle by a driver belonging to each company, and analyzes the content of the electronic information. By performing the relative evaluation process of the operation status between the same driver or different drivers, the driver who has the special operation status is specified, and the result of the relative evaluation process is addressed to the company to which the specified driver belongs. Since I tried to present the information,
It is possible to provide each company with an objective relative evaluation result of the operation status that cannot be grasped by only one company. This effect is remarkable in the case of a small company with a small number of drivers. In addition, the immediate processing and the badge processing are prepared.
The analysis results are presented to each company on a daily basis, and in badge processing,
Since we tried to present the professional evaluation results to each company,
As for the improvement items in the early cycle, as a result of immediate processing,
The results of badge processing can be used to determine whether there are any fundamental improvements. In addition, since the evaluation result having a high added value is fed back to the company that is the source of the electronic information, it is possible to motivate each company to transmit the electronic information indicating the operation status collected by itself. Also,
Since the electronic information collected by a plurality of companies and the already evaluated results are stored and can be used at any time, it is possible to make a comparison between various industries. In addition, since accurate evaluation results can be obtained even if each company does not have analysis ability or experience, there is an effect that analysis can be performed. In addition, even if an intranet is not built between multiple business establishments of one company, electronic information and evaluation results from all business establishments will be stored, making it possible to make comparisons among business establishments of the relevant business. .

<Example of Message> As described above, the operation analysis system 1 according to the present embodiment also presents message information regarding an improvement point according to the result of the relative evaluation process. Below, an example of the message presented to each company is shown.

(1) In the case of immediate processing (1-1) The special operation status is the total number of dangerous behaviors during turning (sudden braking during turning), company-wide average and national average during the January data collection period. It is assumed that the relative evaluation is performed by comparison with (the average value of all companies regardless of the same industry or different industries, the same applies hereinafter). This number of times is 1 for the whole company (January average) and 0.5 for the national average (January average), while the number of times by driver A who belongs to a certain company is 6 (1 If it is monthly average, the operation analysis system 1 extracts and edits the corresponding standard text data from the message DB 162 for the relevant company and says, "Mr. A seems to have a lot of sudden braking while turning. Sudden braking is one of the major factors leading to a track deviation accident. It is necessary to keep in mind predictive driving such as curves with poor visibility. " The proper nouns and numerical values are mapped based on the evaluation results. Hereinafter, the same processing is performed.

(1-2) Special operation status is the total number of dangerous behaviors during lane change (a sudden lane change, V lane change)
Then, judging from the speed, idling time, and the number of times of stoppage, that the condition that the vehicle is running for less than 10 kilometers per hour for 30 minutes or more is judged as "congestion", and it is compared with the company-wide average and the national average during the January data collection period. It is assumed that a relative evaluation is performed. This number is 18 times for Mr. A (Most dangerous behavior for Mr. A during traffic jam (15 out of 18 times is congested)), 13 times for Mr. B, 9 times for Mr. C (January average), company-wide average value 0 7 times (January average), national average 0.5 times (same model). The message in this case is, for example, "Mr. A, Mr. B, Mr. C seem to have many sudden lane changes.
Mr. A has a lot of zigzag running methods during congestion. The time reduction by the zigzag method is not so effective. When traffic is congested, the risk of contact accidents increases, so it is necessary to give instructions such as reviewing driving. In addition, Mr. A may be driving like this because he is busy with work. It may be necessary to check if there are any restrictions on the vehicle allocation plan. It will be.

(1-3) The special operation status is the number of dangerous behaviors (rapid braking) during braking. Mr. A records this once on a certain day, and accelerates / decelerates G using hidden data. , Judging from the lateral G, if there is unevenness only on this day, the message is, for example, "dangerous sudden braking was recorded only once. From the data of this day, acceleration / deceleration G (accelerator operation It seems that there is unevenness in the brake operation) and lateral G (steering wheel operation). I am concerned about sudden braking, but I am concerned about acceleration / deceleration G and lateral G. It may not be directly related to poor physical condition or work. However, why not check the circumstances in your home? "

(1-4) The special operation status is the number of temporary stops, which is 8 times for Mr. A, 12 times for Mr. B, and 14 times for Mr. C (1 day average), and the same route between the same offices. If the average value of those who are running is 29 times (1 day average), the message is, for example, "Mr. A, Mr. B, Mr. C seem to have relatively few" pause times ". If you are following the same route and seeing these results, you may be neglecting to "pause". It is necessary to instruct "enforcement of suspension" in order to deal with unexpected jumping out of children. It will be.

(1-5) The special operation status is the total number of dangerous behaviors, which is Mr. A once a month, twice a month, 30 times at the end of the month, and analysis comparison is divided into three stages for one month. When performing analysis, the message is, for example, "It seems that dangerous behavior tends to increase at the end of the month. It is unclear whether work is concentrated at the end of the month or due to road conditions. It is necessary to investigate and take measures. "

(1-6) The special operation status is the total number of dangerous behaviors, and the number of times is 1 A in the morning, 2 in the afternoon, and 5 in the evening (1
If you analyze the average value of one day according to the time zone and analyze it, the message is, for example, "It seems that dangerous behavior tends to increase in the evening. Road conditions worsen in the evening, It is also possible that the driver's fatigue has accumulated.If this situation continues, it is possible that an accident may occur someday, so it is necessary to take measures such as "5 minutes before departure behavior" . It will be.

(1-7) When the special operation situation is a sudden change in data and the frequency of occurrence of such a sudden change in Mr. A suddenly increases, when the analysis comparison is performed by comparison with Mr. A's past data, The message was, for example, "Mr. A had been driving relatively gently until now, but many dangerous behaviors have occurred in the past few days. I hope that nothing is done, but ask Mr. A to confirm How about seeing it? "

(1-8) The special operation status is an accident avoidance braking operation, the number of times is 5 times for Mr. A (average value), company-wide average value 0.7 times, national average value 0.5 times, and analysis comparison Nationwide·
When carrying out comparative analysis with the average value of the entire company, the message is, for example, "Analysis of Mr. A's data shows that" brake operation to avoid an accident "is common. It is predicted that there will be many opportunities to encounter dangerous situations. Guidance is required to keep in mind predictive driving. It will be.

(2) In the case of badge processing (2-1) The special operation status included in the raw data is the average value of the brake maximum G, and the result is 0.30 G (average value) of Mr. A, which has many dangerous behaviors of sudden braking. , The company-wide average value is 0.19G, the national average value is 0.17G, and the analysis comparison is to analyze and compare with the company-wide / national average value based on the 1-minute aggregated data, the message is, for example, “A There are many dangerous behaviors of sudden braking, and he found that the raw data analysis this time also shows that the normal braking operation itself has a high G. In order to prevent accidents, "Early and early brake"
Please be aware of. It will be.

(2-2) The special operation status included in the raw data is uneven operation of the brake and the accelerator, and the result is
If there are variations in the standard deviation of the accelerator and brake depending on the day, and the analysis comparison is to obtain the standard deviation for each analysis day based on the 1-minute aggregated data, the message is, for example, "Mr. The operation is uneven.It does not lead to dangerous behavior, but it is a little worrisome.If there is a problem with the delivery plan or the content of the work, it needs to be improved. There may be irregular driving like this due to household problems. "

(2-3) The special operation status included in the raw data is the number of dangerous behaviors (rapid braking) of all the drivers at a certain point. (Braking) and the analysis comparison is to search for approximate latitude and longitude information based on the event data to analyze dangerous behavior, the message is, for example, "All drivers near point A. Is suddenly braking. There are some external factors that can be considered because everyone is not doing dangerous behavior at this point.
I need a countermeasure. It is also necessary to set the course so that it does not pass through this point. It will be.

By presenting such a message together with the information mapped on the form, it becomes possible to objectively grasp the cause of the dangerous behavior or bad habit and the remedy, and improve the safety driving and the efficiency of the work. Can contribute to.

Although the present invention has been described with reference to specific embodiments, the scope of application of the present invention is not limited to the above examples. For example, in the above-described embodiment, the vehicle has been described as an example of the moving body, but the present invention can be similarly applied to all moving bodies that require operation analysis, such as trains and motorcycles.

[0064]

According to the present invention, it is possible to objectively analyze the operation situation, and it is possible to achieve the unique effect that the analysis result is effectively delivered to the customer.

[Brief description of drawings]

FIG. 1 is an overall configuration diagram showing a scene where an operation analysis system of the present invention is applied.

FIG. 2 is a block diagram of a customer terminal.

FIG. 3 is a block diagram of a data recorder.

FIG. 4 is an image diagram of electronic information recorded on a medium of a data recorder.

FIG. 5 is a structural diagram of a main part of management data.

FIG. 6A is a structural diagram of event heads arranged at the beginning or at a break of an event, and FIG. 6B is a structure diagram of autonomous data (Ax and the like) representing event contents and vehicle speed data.

FIG. 7 is a diagram showing an array of speed, event occurrence place information, and GPS time acquired from GPS data among the event data.

FIG. 8 is a structural diagram of state collection data.

FIG. 9 is a structural diagram of autonomous and vehicle speed aggregation data.

FIG. 10 is a structural diagram of GPS total data.

FIG. 11 is a block diagram of the operation analysis system.

FIG. 12 is a diagram showing an average value (bar X) and its fluctuation by a driver who performs standard driving.

FIG. 13 is a diagram showing fluctuations in acceleration by the driver for each speed range.

FIG. 14: B who is a driver of safe driving in a certain speed range
The figure which showed the difference of distribution of Mr. A who is an analysis object with respect to his safe driving pattern.

FIG. 15 is an explanatory diagram of the procedure of the operation analysis process (process performed by the company side).

FIG. 16 is an explanatory diagram of the procedure of the operation analysis process (processing performed by the operation analysis system).

FIG. 17 is an explanatory diagram of the procedure of the operation analysis process (process performed by the company side).

[Explanation of symbols]

1 Operation analysis system 16 DBMS 161 DB by customer 162 Message DB 163 Form DB 17 Processor 172 Evaluation processing unit 173 Data Editing Department 174 Data output section 2 Customer terminal 27 Data processing mechanism 3 data recorder 31 Sensor part 32 medium accommodation mechanism 33 Recorder section MB memory medium MO High density recording medium

─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Tsuho Tano 4-42-12 Kamata, Ota-ku, Tokyo Inside Shinsei Building Data Tech Co., Ltd. (56) Reference JP 2000-185676 (JP, A) JP JP-A-11-272996 (JP, A) JP-A-8-129659 (JP, A) JP-A-11-64009 (JP, A) JP-A-2000-258171 (JP, A) JP-A-9-237032 (JP, A) A) (58) Fields surveyed (Int.Cl. ⁷ , DB name) G08G 1/00 G06F 17/60 112

Claims (17)

(57) [Claims] 1. Each customer terminal operated by each of a plurality of customers
From the above , the first electronic information in which the operation status of the mobile body caused by the driving of the driver belonging to the customer is quantified for each driver, and the operation information used in the quantification. Mobile
The second electronic information including the measurement data of the behavioral characteristics is transmitted to the communication network or
Receiving means and for receiving through mechanisms as read predetermined recording medium; first received from the client terminal electronic information and the second
Electronic information, electronic information storage means and for Ru is accumulated in a predetermined memory; the same in the customer based on the first electronic information that is stored in the memory, the driver each other between the same industry customer or between different industries customers
First evaluation processing means for performing the relative evaluation processing of the operation status as an immediate processing ; the first evaluation processing means is selectively activated, and the memo
The immediate processing based on the second electronic information accumulated in the memory
A more detailed relative evaluation process of operation status is called badge process.
And a second evaluation processing unit performed; the result information of the immediate processing or the badge processing, and information presentation means for presenting to the customer the customer terminal the driver became evaluated belongs; consisting comprise, operation Analysis system. 2. The first evaluation processing means and the second evaluation processing
The operation means starts operation from the electronic information received from each customer terminal.
Identify behavioral characteristics of moving body from start to end of driving
Behavior analysis module, which controls the behavior of each driver and customer.
Generates information for determining driving tendency characteristics by statistical analysis
Statistical analysis module, driving tendency of individual driver
Is the driving tendency of another driver against the driving tendency of a specific driver
The inclination to generate the judgment information for judging the difference in tendency.
Directional analysis module, vehicle fuel consumption trends by driver
By analyzing and quantifying efficient driving and inefficient driving
The fuel that generates the judgment information for distinguishing
One or more modules
The relative evaluation
The operation analysis system according to claim 1 , wherein processing is performed . 3. The relative evaluation process is stored in the memory.
Among the first electronic information or the second electronic information stored , the average value of the numerical data for specifying the operation status by the individual driver for each predetermined period and the operation status by the plurality of drivers are specified.
Calculating a standard deviation of the numerical data for a constant, it is a process of comparing the deviation between the average value and the standard deviation, claim 1 operating analysis system according. 4. The first electronic information and the second electronic information
Is the behavioral characteristics of multiple types of moving objects that occur when an event occurs.
Is information that includes a numeric data to specify a symptom, the relative evaluation processing, performs a correlation analysis between dissimilar data included in the first electronic information or the second electronic information of the individual driver, this correlation The operation analysis system according to claim 2, wherein the operation analysis system is a process of quantifying a causal relationship of an event occurrence by the driver based on an analysis result. 5. The relative evaluation process is stored in the memory.
Of the first electronic information or the second electronic information that is stored, all of the numerical data for identifying the operation status by the driver
The average value for the driver and its standard deviation 1, and
Thereby calculating an average value and its standard deviation 2 for the individual driver is a process of comparing the standard deviation 1 and the standard deviation 2 computed, operating analysis system according to claim 2, wherein. 6. The relative evaluation process is stored in the memory.
The first electronic information or that a process of detecting a habit of the driver due to the presence or absence and the driver of the occurrence of the dangerous behavior by comparing the second electronic information and a predetermined condition pattern, claim 2 The operation analysis system described. 7. The first evaluation processing means and the second evaluation processing
Management means, the result of the relative evaluation process, a normal operation status
The operation analysis system according to claim 5 , wherein the driver having different special operation conditions is configured to be specified as the driver to be evaluated. 8. The receiving means online receives the first electronic information at a predetermined time interval or in real time through the communication network, and through the reading mechanism.
Te, the second is configured to offline receive electronic information in a time interval longer than the first electronic information, when the receiving means has online receipt activates said first evaluation processing means, said receiving means The operation analysis system according to claim 7, wherein the second evaluation processing means is activated when received offline. 9. The first evaluation processing means meets customer needs.
A predetermined evaluation condition pattern corresponding to the first electronic information
It is intended to perform a routine relative evaluation process based on a comparison between, the second evaluation process means database and expert
The operation analysis system according to claim 8, wherein a relative evaluation process is performed based on the knowledge of the above and the second electronic information. 10. The information presenting means classifies the result information of the relative evaluation processing into any one of within the same customer, among customers of the same industry, and among customers of different industries, and each customer judges the classification result by the customer.
The operation analysis system according to claim 7, which is presented in a form visible through a customer terminal . 11. The information presenting means is used to evaluate the operation status.
Corresponding message information output according to the result and evaluation items
Is equipped with a message database
The message corresponding to the evaluation item specified by the relative evaluation process.
Read message information from the message database
In this message information, the driving that was evaluated
The operation analysis system according to claim 7, wherein the operation analysis system is configured to embed and output the information of the person . 12. The information presenting means delivers to each customer.
Equipped with a form database that records evaluation result forms for
Therefore, the result information of the relative evaluation process is
The form is read from the database and mapped on the form.
The operation analysis system according to claim 7, wherein the operation analysis system is configured to output the output . 13. A customer terminal operated by each of a plurality of customers.
From the above, electronic information in which the operation status of the moving body caused by the driving of the driver belonging to the customer is quantified for each driver is obtained through a communication network or a reading mechanism of a predetermined recording medium. /> Receiving means for receiving; electronic information received from each customer terminal is stored in a predetermined memory
An electronic information storage means Ru is; the number of occurrences of a specific behavior of the mobile object to identify the relatively small driver from the electronic information stored in the memory
In both cases, the operation status of the moving body by the identified driver is certified as a model operation status, and this model operation status and the evaluation target are evaluated.
Relative evaluation processing of the operation status of the mobile body according to another driver made
By performing the physical, indicative of an operating operation tendency of the other drivers
An operation analysis system comprising: an evaluation processing unit that generates information ; and an information presenting unit that presents the generated information indicating the driving operation tendency to a customer terminal of a customer to which the other driver belongs. 14. multiple customers of each can be connected via a communication network with the customer terminal operated, a method performed by a computer also provided with a mechanism which reads the predetermined recording medium, from the customer terminal , The luck of each driver belonging to the customer
Operation status of the mobile you due to the rolling is quantified for each driver
First electronic information, and those used during the quantification was
Second electronic information including measurement data of behavior characteristics of the moving body
, Said communication network or said reading step and to receive through mechanism; the first received from the client terminal electronic information and the second
Phase and the Ru is accumulated electronic information in a predetermined memory; the same customer based on the first electronic information stored in the memory, the driver each other between the same industry customer or between different industries customers
Performs relative evaluation processing of the running condition as immediate processing, based on the second electronic information stored in the memory
More detailed relative evaluation processing of operation status than the above-mentioned immediate processing
A method performed as badges treatment; and wherein a, the result information relative evaluation process by the immediate processing or the badge process, the steps to be presented to the customer end the end of the customer by the driver belongs became evaluated A computer-based operation analysis method. 15. Reading a predetermined recording medium connectable to a customer terminal operated by each of a plurality of customers via a communication network.
The method is executed by a computer that also has a mechanism, and the operation of the driver belonging to the customer is performed from each customer terminal.
Electrons received from the customer terminal; the operation status of the mobile you due to rolling the <br/> electronic information quantified for each driver stage and which <br/> received via the communication network or said read mechanism Stores information in a predetermined memory
A step of thereby Ru is; the number of occurrences of a specific behavior of the mobile object to identify the relatively small driver from the electronic information stored in the memory
In both cases, the operation status of the moving body by the identified driver is certified as a model operation status, and this model operation status and the evaluation target are evaluated.
Relative evaluation processing of the operation status of the mobile body according to another driver made
By performing the physical, indicative of an operating operation tendency of the other drivers
Phase and to output information; information indicating the driving operation tendency such other driver comprising the steps of presenting to the customer end the end of the customer belongs; and having a travel analysis method by a computer. 16. A computer, which is connectable to a customer terminal operated by each of a plurality of customers through a communication network and has a reading mechanism for a predetermined recording medium, to execute information processing in the following steps. Computer program. (1) from each customer terminal, operation status of the mobile each you due to driving of the driver belonging to the customer quantified each driver
Digitized first electronic information, and used in the quantification.
The second electronic information including the measurement data of the behavior characteristics of the mobile bodies, wherein the step receiving through a communication network or the read mechanism; (2) the first electronic information and pre-received from the customer terminal
Serial stages Ru to accumulate second electronic information in a predetermined memory; (3) the first electronic information based Dzu <br/> rather the same customer that is stored in the memory, between the same industry customers or different industries customers line <br/> Utotomoni relative evaluation processing of the running condition of the driver between the immediate processing between the second electronic information stored in the memory
It said step performing relative evaluation process detailed operation status than immediate process as badges processing based on; (4) the immediate process or result information relative evaluation processing by said badge processing, evaluation and became driver belongs stage to be presented to the customer end at the end of customers. 17. Reading a predetermined recording medium connectable to a customer terminal operated by each of a plurality of customers via a communication network.
A computer program for causing a computer having a mechanism to execute the following information processing. (1) Determination from the customer terminal, the operation status of each mobile you due to driving of the driver belonging to the customer each driver
The converted electronic information is transferred to the communication network or the reading mechanism.
(2) a predetermined memory electronic information received from the customer terminal; step of receiving through
Step Ru is accumulated in; (3) mobile unit from the electronic information stored in the memory
Identifies drivers with relatively few occurrences of unique behavior
In addition, the operation status of the moving body by the specified driver is certified as a model operation status, and this model operation status is evaluated.
Relative to the operating status of the moving body by other target drivers
By performing the evaluation process , the driving operation tendency of the other driver
Step outputs information representing; (4) the step of presenting information indicating the driving operation tendency to end customers end customers the other driver belongs.