JP2019101191A - Travel data evaluation system, information processing system, and information processing server - Google Patents

Abstract

To provide a travel data evaluation system capable of extracting a part of traveling suitable for a road shape from travel data.SOLUTION: In a travel data evaluation system 100 including a measuring apparatus 10 mountable on a moving body 9, and information processing systems 30, 50 for acquiring travel data acquired by the measuring apparatus, the measuring apparatus has one or more detection means 61 for detecting the travel data. The information processing systems include: travel data acquisition means 87 for acquiring the travel data detected by the detection means; extraction means 84 for specifying peak data corresponding to a road-shaped peak at which the movable body changes a course from the travel data acquired by the travel data acquisition means, and extracting one or more parts of traveling corresponding to a road shape on the basis of the peak data; and evaluation means 83 for evaluating travel data in each part of traveling extracted by the extraction means.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a traveling data evaluation system, an information processing system, and an information processing server.

  As a method of diagnosing the driving technology of a moving object such as a vehicle, traveling data during traveling is acquired by various sensors mounted on the moving object, and from extreme changes of the traveling data, rapid acceleration, sudden braking, sudden steering etc. are preferable. A driving data evaluation system is known which detects no operation.

  In addition, there are moving bodies, such as run bikes and bicycles, which move using the movement of the driver as a motive force. Such a mobile unit changes in speed and the like largely according to the driver's driving technology. There are also sports and competitions where the driver runs the moving body and competes in the ranking, and the driving data of the moving body is used to objectively evaluate the current driving technology for the driver who wants to improve the driving technology. It is considered to digitize with a sensor or the like.

  However, in order to evaluate more detailed driving techniques in which driving data such as comfort does not change suddenly, if the road shape on which the moving body travels is not known, the behavior of the moving body is the road shape The driving data evaluation system can not distinguish whether it is the result of the driver driving according to or the instability due to the inappropriate driving. For this reason, it is desirable that the evaluation of the detailed driving technique be performed in a state where it can be specified whether the traveling data is straight or curve (or right / left turn or the like).

  In addition, as shown in FIG. 1, there is also a fixed course for evaluating detailed driving techniques. FIG. 1 (a) shows several fixed courses imitating the road shape, and FIG. 1 (b) shows a travel locus at an enlarged intersection. For example, as in a driving school, in addition to straight road shapes such as straight road 201 and curve 202 commonly found on fixed courses, special fixed types such as crank 203, bridge 204, slalom 205, S-curve 206, etc. A course is set. When the driver drives the moving body and travels the fixed course, the travel data evaluation system acquires travel data detected by the sensor, associates the acquired travel data with the road shape, and starts → go straight, left turn, right turn, It is classified as a traveling part such as going straight → stopping. This makes it possible to evaluate whether or not appropriate driving has been performed for the road shape.

  For example, as shown in FIG. 1 (b), a traveling part including turning traveling such as right turn or left turn is a traveling part called straight traveling C1 entering a curve, central part C2 of a curve, and straight traveling C3 leaving a curve. Have. For this reason, in order to evaluate the driving technology in cornering such as turning to the right, the traveling data evaluation system needs to distinguish and analyze straight traveling C1, C3 before and after the curve and the curve central portion C2. That is, it is desirable to detect the start point and the end point of the curve central portion C2.

  Conventionally, techniques for detecting the start point of a curve are known (see, for example, Patent Documents 1 and 2). Patent Literature 1 discloses a driving evaluation system in which a turning start point is a point at which a traveling curvature calculated from a traveling locus becomes equal to or greater than a reference curvature. Patent Document 2 discloses a vehicle navigation device that determines the start point of a curve by the absolute value of the amount of change in the azimuth angle θ.

JP, 2013-114319, A Unexamined-Japanese-Patent No. 8-61968

  However, in the method of detecting the turning start point or the curve start point disclosed in Patent Literatures 1 and 2, there is a problem that a traveling part suitable for the road shape may not be extracted from the traveling data. This will be described with reference to FIG.

  FIG. 2 is an example of a diagram showing the behavior of the moving object at the time of right turn by a traveling locus and traveling data. First, FIG. 2 (a) shows an ideal traveling locus of the moving object at the time of right turn, and FIG. 2 (b) shows traveling data in the ideal traveling locus. Since the travel path is an ideal travel path, this travel path is only the cornering of the curve central portion C2, straight traveling C1 before the curve central portion C2, and straight traveling C3 after the curve central portion C2. The travel data in FIG. 2 (b) are angular velocity ω and azimuth angle θ, each of which is graphed with respect to time. Note that the azimuth angle θ is positive in the right turn direction. Also, the unit of the angular velocity ω is omitted.

  In an ideal traveling locus, only straight traveling C1 and C3 are performed before and after the curve center C2, and the angular velocity ω monotonously increases and monotonically decreases at the curve center C2. Therefore, the traveling data evaluation system can determine when the angular velocity ω detected by the gyro sensor is greater than 0 as the curve start point S and can determine when the angular velocity ω returns to 0 as the curve end point E. .

  FIG. 2 (c) shows a traveling locus when the driver steers to the reverse steering wheel before and after the curve central portion C2, and FIG. 2 (d) shows traveling data at this time. Such a travel path is often seen when the driver tries to make a large turn at the intersection to avoid obstacles, but is considered undesirable because the travel path becomes longer. The running path in FIG. 2 (c) is straight running C1 along the road shape, right before the curve central portion C2, left meandering portion 211 where the driver steers in the left direction, curve central portion C2, and right after curve central portion C2. The left meandering part 212 which steers to the left in and the straight running C3 along the road shape.

  In this case, the angular velocity ω of the traveling data exhibits a negative value and then a positive value before it starts to increase, and then takes a negative value and then returns to zero after it starts to decrease. In the method of detecting the turning start point or the curve start point in Patent Documents 1 and 2, the left meandering portion 211, the curve central portion C2, and the left meandering portion 212 are judged as different curves, so a plurality of curves or S-curves are used. I judge that there is. For this reason, it may be difficult to evaluate a detailed driving technique.

  FIG. 2 (e) shows a traveling locus in the case where the movable body is shaken in front of the curve center portion C2, and FIG. 2 (f) shows traveling data at this time. As shown in FIG. 2 (e), the driver steers to the left, right, and left in front of the curve center portion C2, so the traveling locus in FIG. 2 (e) is the left meandering portion 213 and the right meandering portion 214. , Left meandering portion 215. In the method of detecting a turning start point or a curve start point in Patent Documents 1 and 2, the left meandering portion 213, the right meandering portion 214, and the left meandering portion 215 are judged to be different curves, so a plurality of curves or S-curves are used. I judge that there is.

  Even if the traveling data evaluation system first determines that the angular velocity ω returns from a negative value to 0 as the start point of the curve central portion C2, as shown in FIGS. 2 (a) and 2 (b), FIG. Since the angular velocity ω of the traveling data of 2) is greater than 0 twice, there is a possibility that the boundary between the left meandering portion 213 and the right meandering portion 214 may be misjudged as the start point of the curve.

  As described above, in the conventional method, it may be difficult to correctly detect the start point S of the curve.

  In addition, if a person looks at the graph of azimuth angle θ or angular velocity ω and makes a judgment, the start point and the end point of the curve can be judged from the change of the graph, but the person looks at a large amount of data and evaluates in detail. Things are not realistic in time and cost.

  An object of this invention is to provide the traveling data evaluation system which can extract the traveling part suitable for road shape from traveling data in view of the said subject.

The present invention is a travel data evaluation system having a measurement device that can be attached to a mobile object, and an information processing system that acquires travel data acquired by the measurement device,
The measurement device has one or more detection means for detecting the travel data, and the information processing system is a travel data acquisition means for acquiring the travel data detected by the detection means, and the travel data acquisition Extraction means for specifying vertex data corresponding to a vertex of a road shape whose route is changed by the moving body from traveling data acquired by the means, and extracting one or more traveling parts corresponding to the road shape based on the vertex data And evaluation means for evaluating travel data for each of the traveling parts extracted by the extraction means.

  It is possible to provide a travel data evaluation system capable of extracting a travel part suitable for a road shape from travel data.

It is a figure which shows an example fixed form course for evaluating a detailed driving technique. It is an example of the figure which shows the behavior of the mobile body at the time of a right turn with a traveling locus and traveling data. BRIEF DESCRIPTION OF THE DRAWINGS It is an example of the figure explaining the outline of a driving | running | working data evaluation system. It is an example of the block diagram of a travel data evaluation system. It is a figure showing the example of hardware constitutions of a measuring device. It is an example of the hardware block diagram of an information processing apparatus. It is an example of the functional block diagram which shows the function of the measuring device in a driving | running | working data evaluation system, an information processor, and a server in block form. It is a figure which shows an example of the various screens which an information processing apparatus displays. It is a figure which shows an example of the various screens which an information processing apparatus displays. It is an example of the sequence diagram which shows the procedure which a measurement apparatus transmits driving data to an information processing apparatus. FIG. 13 is an example of a sequence diagram illustrating a procedure in which the information processing apparatus transmits an analysis request to the server and acquires an analysis result. It is an example of the flowchart figure which shows the procedure of the analysis process which a server performs. It is an example of the flowchart figure which shows the procedure in which a pre-processing part extracts the travel data of the curve center part from travel data. It is an example of a figure explaining specification of vertex data and minimum change data. It is an example of the figure explaining the curve center part. It is an example of the figure which shows the angular velocity and azimuth angle of the traveling data which meandered to the left before entering an intersection. It is an example of a figure explaining extraction of the curve center part in S character curve. It is an example of a figure explaining extraction of the curve central part in a crank.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  The outline of the travel data evaluation system of the present embodiment will be briefly described.

FIG. 3 is an example of a diagram for explaining the outline of the traveling data evaluation system. Fig.3 (a) is an example of a flowchart figure which shows the procedure which a traveling data evaluation system extracts the traveling part suitable for road shape from traveling data. FIG. 3B shows vertex data P, minimum change data M1 and minimum change data M2 specified by the method of FIG. 3A with respect to traveling data.
S1. The travel data evaluation system specifies vertex data P corresponding to the top of the curve from the travel data of the time series. The traveling data in which the change speed of the azimuth angle θ is relatively the largest (the azimuth angle θ changes the fastest) is taken as the vertex data P.
S2. The minimum change data M1 that minimizes the amount of change in the azimuth angle θ is specified from traveling data temporally earlier than the vertex data P. This is taken as the start point S of the curve in the traveling data.
S3. From travel data temporally later than the vertex data P, the minimum change data M2 that minimizes the amount of change in the azimuth angle θ is specified. This is taken as the end point E of the curve in the traveling data.

  As shown in FIG. 3 (b), since the minimum change data M1 to the minimum change data M2 is the curve center C2, the travel data evaluation system is in the curve center even if the straight running C1, C3 has a meander or fluctuation. It is possible to extract C2 travel data. Further, since the traveling data before the minimum change data M1 is straight traveling C1 and the traveling data after the minimum change data M2 is straight traveling C3, straight traveling data can be extracted.

  Therefore, it is possible to evaluate the traveling data (speed, etc.) of the curve central portion C2 without including straight traveling. In addition, it is possible to evaluate the presence or absence of wandering in straight running C1 in front of curve central part C2, the approach speed to the starting point S of curve, etc. the presence or absence of speed wandering in straight traveling C3 after curve central part C2, end of curve The exit velocity of the point E can be evaluated. As described above, the traveling data evaluation system can extract the traveling part suitable for the road shape from the traveling data, and appropriately evaluate the traveling data for each traveling part.

<About terms>
The moving body means an object which moves by human power or power. The road surface may be moved by wheels or walking. The number of wheels may be one or more. For example, there is a walking robot as one that moves by walking. For example, there are run bikes (with or without pedals), bicycles, striders, unicycles, tricycles, etc., which move by wheels.

  In addition, the moving body includes a type in which the driver directly rides and which the pilot steers like a radio control. Also in this case, if the measuring device is attached, traveling data is similarly acquired. Further, in the present embodiment, a moving body powered by human motion is described as an example, but the moving body may be a vehicle (including a motorcycle) equipped with an engine.

  Further, the road shape in which the moving body changes the route means a road shape in which the azimuth changes at least temporarily because the moving body travels along the road. For example, a curve, right turn, left turn, course change, etc.

  The evaluation of the travel data refers to estimating, estimating, digitizing, etc. the driver's skill relating to the driving of the moving body. For example, evaluation on velocity, evaluation on initial velocity acceleration, and the like. In the present embodiment, the result of the evaluation will be described in terms of level. The level is the level of driving skill.

  Related persons to be described later are mainly the relatives and friends of the driver, but in the present embodiment, they may be the user of the information processing apparatus. Also, the driver may be called a person, a person, an operator, a pilot, a pilot, a user, etc., under a name suitable for a mobile.

<Configuration example>
FIG. 4 is an example of a configuration diagram of the traveling data evaluation system 100. As shown in FIG. The traveling data evaluation system 100 includes a measuring device 10, an information processing device 30, and a server 50. The measuring device 10 is attachable to the moving body 9 and has one or more sensors for detecting traveling data suitable for evaluating the driving skill of the moving body 9 by the driver 8. As an example, such sensors include an acceleration sensor, a gyro sensor, and a rotation sensor. Although the measuring device 10 is attached to the chain tube of the movable body 9 in FIG. 4, the mounting position of the measuring device 10 is not limited to the illustrated position. However, it is preferable that the rotation sensor be mounted near the spokes to detect disjunction (approaching or separating) of the magnets mounted on the spokes. In addition, since the information processing apparatus 30 can not correctly determine the traveling direction, the posture, and the like unless the measuring device 10 is mounted on the moving body 9 in the correct posture, it can be mounted vertically and mounted at a position that does not interfere with driving. preferable.

  The measuring device 10 and the magnet can be separately attached to and removed from the moving body 9, respectively, and can be attached to the moving body 9 or removed. Therefore, the measuring device 10 and the magnet are often distributed singly or as a set of assemblies. However, the measuring device 10 and the magnet 20 may flow together with the moving body 9 in a state of being attached to the moving body 9.

  The measuring device 10 and the information processing device 30 communicate at least wirelessly, and preferably also enable wired communication. The measuring device 10 and the information processing device 30 preferably communicate with each other by a communication method capable of communication at a distance of about several tens of meters (for example, 30 meters) because the mobile body 9 can preferably communicate while traveling on the traveling course. For example, Bluetooth (registered trademark) or Bluetooth Low Energy (registered trademark) can be mentioned. Besides, a communication method such as a wireless LAN or ZigBee (registered trademark) may be adopted. Alternatively, the measuring device 10 and the information processing device 30 may communicate via a relay server on a network connected by a mobile telephone network or the like.

  On the other hand, the measuring device 10 and the information processing device 30 may not be able to wirelessly communicate a certain distance. Also, no wireless communication may be possible. Since the capacity of the traveling data acquired by the measuring device 10 in one traveling is not so large, the traveling data during traveling of the measuring device 10 is stored. The traveling data stored during traveling is transmitted to the information processing device 30 by the measuring device 10 after traveling. For transmission, near-field wireless communication such as NFC (Near Filed Communication) may be employed other than Bluetooth and wireless LAN, or communication may be performed by wire. Alternatively, the traveling data may be acquired by mounting the removable memory card mounted on the measuring device 10 and reading the traveling data.

  It is also possible that the information processing device 30 doubles as the measuring device 10. In this case, the information processing device 30 includes the same sensor as the measuring device 10. Therefore, the measuring device 10 is not necessary.

  The information processing device 30 performs acquisition of traveling data, communication with the server 50, various screen displays (providing a user interface), and the like. In the information processing apparatus 30, an application (hereinafter referred to as a skill evaluation application) that performs processing related to travel data is operating. The skill evaluation application may be a browser or an application dedicated to the travel data evaluation system. The skill evaluation application may be downloaded from the server for program distribution to the information processing apparatus 30, or may be distributed in a state of being stored in a storage medium. Also, it may be distributed together with at least one of the measuring device 10 and the magnet 20.

  The information processing apparatus 30 may be one that operates a skill evaluation application, but specifically, it is advantageous for portability of a smartphone, a tablet terminal, a laptop PC (Personal Computer), or a wearable PC such as a watch type or a sunglasses type. The thing is mentioned. However, it may be a stationary information processing apparatus 30 such as a desktop PC.

  The information processing device 30 and the server 50 communicate via the network N. The network N is, for example, the Internet, but may include a communication network of a line carrier (carrier) for connecting to the Internet, a network of a provider, and the like. The information processing device 30 and the server 50 may communicate by wire.

  The server 50 is an example of an information processing apparatus that performs processing related to evaluation of traveling data. The server 50 analyzes the traveling data transmitted from the information processing device 30, and transmits the analysis result to the information processing device 30. In addition, the server 50 manages the mission (practice method, task) being performed by each driver 8 and provides a reward when the mission is completed. In addition, the ranking is published by comparing the levels of a plurality of drivers 8.

  The skill evaluation application of the information processing device 30 may execute a process related to evaluation of traveling data performed by the server 50. In this case, the server 50 is unnecessary, and communication with the server 50 is also unnecessary. However, the load on the skill evaluation application may increase, or the skill evaluation application may need to be updated instead of the server 50 update. Thus, the information processing apparatus 30 may execute one or more or all of the functions of the server 50, and the information processing apparatus 30 and the server 50 can be regarded as one information processing system or one apparatus.

  The server 50 is preferably compatible with cloud computing. Cloud computing refers to a usage form in which resources on a network are used without being aware of specific hardware resources. Specific forms of cloud computing include, for example, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), but any form may be used in this embodiment. Good. In addition, a predetermined device may operate as the server 50 without supporting cloud computing.

<Hardware example>
<< Hardware Example of Measurement Device >>
FIG. 5 is a diagram showing an example of the hardware configuration of the measuring apparatus 10. As shown in FIG. The measuring device 10 includes, for example, an acceleration sensor 11, a gyro sensor 12, a rotation sensor 13, a memory 14, a control unit 15, a near field communication unit 16, a battery 17, and a power switch 18. Note that FIG. 5 only shows the main elements of the measuring apparatus 10, and may have elements other than those illustrated.

  The acceleration sensor 11 is a three-axis acceleration sensor 11 that detects acceleration in the vertical direction, front-rear direction, and left-right direction of the measuring device 10. Therefore, vertical and horizontal movement of the movable body 9 to which the measuring device 10 is attached can be detected. By being able to detect accelerations in multiple directions in this way, various travel data can be acquired.

  The gyro sensor 12 is an angular velocity sensor that detects at least an angular velocity ω of the yaw angle. The control unit 15 can measure the yaw angle by integrating the angular velocity ω. In addition to this, it is more preferable to be able to detect the roll angle and the pitching angle of the moving body 9 to which the measuring device 10 is attached in order to obtain the change of the attitude of the moving body 9 in more detail.

  The rotation sensor 13 is a sensor that detects the rotation of the wheel of the moving body 9. First, the magnet 20 is fixed to one or more of the spokes 21 of the moving body 9. The magnet 20 is attached to the spoke 21 so as to pass through the detection range of the magnet 20 by the rotation sensor 13 when the measuring device 10 is attached to the moving body 9. One form of the rotation sensor 13 is a magnet switch. The magnet switch is a switch that is turned on by the approach of the magnet 20 and turned off by the separation (or vice versa). There is also a magnetic sensor as another form. The magnetic sensor detects the size and direction of the magnet 20 or the magnetism or geomagnetism generated by the current. In the case of a magnetic sensor, the manufacturer etc. can arbitrarily set the threshold of the magnetic force determined by the control unit 15 that the magnet 20 has been detected, to a certain extent, so that the wheel can be used even if the distance between the rotation sensor 13 and the magnet 20 Makes it easy to detect There are also magnetic sensors that can detect the direction of rotation. The rotation sensor 13 generates data “1” at the timing when the magnet 20 is detected, and generates data “0” at other timings. The information processing device 30 (or the server 50) can calculate the rotational speed according to how many “1s” exist per unit time, and calculate the travel distance by multiplying the rotational speed by the length of the circumference of the wheel.

  The control unit 15 controls the entire operation of the measuring device 10. The control unit 15 has, for example, a CPU, a RAM, and a ROM for storing a program. The control unit 15 controls operation modes (a simple measurement mode, a high accuracy mode, a fall determination mode, an energy saving mode, etc.) of the measuring apparatus 10, and the components of the measuring apparatus 10 shown in FIG. Have the driving data detected. In addition, when the traveling data is detected, the short distance communication unit 16 transmits the traveling data to the information processing device 30. The control unit 15 also controls the battery 17 to supply power to the components determined in the operation mode.

An example of a sensor operating in each operation mode is as follows.
Simple measurement mode: Only the rotation sensor 13 operates. This operation mode is started by pressing a speed monitor button 315 described later. The speed and travel distance are monitored in real time by the data of the rotation sensor 13.
・ High precision mode: All sensors operate. This operation mode is started by pressing a start button 334 described later.
Overturn determination mode: This is an operation mode in which only the acceleration sensor 11 operates and determines the presence or absence of overturn. For example, when operating in the simple measurement mode or the high accuracy mode but the rotation sensor 13 does not detect rotation for a long time, the information processing device 30 transmits a control signal to shift to the overturn determination mode. In the fall determination mode, the presence or absence of a fall is determined by the acceleration detected by the acceleration sensor 11.
Energy saving mode: This is an operation mode in which only communication with the information processing device 30 is performed. The energy saving mode may have multiple levels of status. For example, the power may be automatically turned off.

  The memory 14 is storage means for storing traveling data detected by the acceleration sensor 11, the gyro sensor 12, and the rotation sensor 13. For example, a nonvolatile flash memory may be a volatile memory that holds information only while power is supplied. The memory 14 may be removable. When the short distance communication unit 16 has established communication with the information processing device 30, the control unit 15 causes the information processing device 30 to transmit the traveling data stored in the memory 14. The transmitted travel data is deleted or overwritten, and is not transmitted again. The measuring device 10 can transmit in real time, transmit each time one or more runs, or transmit to the information processing device 30 according to the operation of the driver 8 or the person in charge 7. The memory 14 is stored once or more (preferably a plurality of times) so that the traveling data can be stored even if the distance between the measuring device 10 and the information processing device 30 increases to the extent that communication is difficult or the radio wave becomes weak. It is preferable to have a capacity to hold travel data of the travel of the vehicle.

  The short distance communication unit 16 is a communication device that communicates with the information processing device 30 wirelessly. As described above, there are Bluetooth etc. as a communication method. When the measuring device 10 communicates with the information processing device 30 for the first time, the skill evaluation application requests the driver 8 or the person in charge 7 to input an ID for pairing. The ID is identification information unique to the measuring device 10 and is packaged with the measuring device 10. Thereby, the measuring device 10 and the information processing device 30 are paired to establish communication. When communication is established, the near field communication unit 16 monitors the life and death of the other party and detects disconnection of the communication if there is no response from the other party.

  The battery 17 is a power supply for operating the measuring device 10. It may be a primary battery or a secondary battery. When the power switch 18 is turned on, power is supplied from the battery 17 to the control unit 15, the control unit 15 is reset, and the control unit 15 reads a program to start the measuring device 10. The activated control unit 15 causes the short distance communication unit 16 to communicate with the information processing device 30. As described above, communication can be automatically started with the information processing device 30 by the activation of the measurement device 10 or the operation of the driver 8 or the person in charge 7.

<< Hardware Example of Information Processing Device >>
FIG. 6 is an example of a hardware configuration diagram of the information processing apparatus 30. The information processing device 30 includes an input device 31, a display device 32, a short distance communication unit 33, a long distance communication unit 34, a ROM 35, a RAM 36, an auxiliary storage device 37, and a CPU 39 as hardware components. Note that FIG. 6 only shows the main elements of the information processing apparatus 30, and may have elements other than those illustrated.

  The CPU 39 executes various programs and performs arithmetic processing. The ROM 35 stores programs necessary for activating the information processing device 30. The RAM 36 is a work area for temporarily storing the result of processing by the CPU 39 and storing programs and data.

  The auxiliary storage device 37 is non-volatile storage means for storing various data and programs 37p. The program 37p includes an OS, communication software, and a skill evaluation application. The input device 31 is, for example, a touch panel and a hard key. The display device 32 is a display device such as liquid crystal or organic EL.

  The short distance communication unit 33 of the information processing device 30 has the same function as the short distance communication unit 16 of the measuring device 10. The long-distance communication unit 34 connects to the base station by a communication method such as 3G, 4G, LTE, etc., and connects to the network N via the base station to perform communication with the server 50. The long distance communication unit 34 may communicate by a communication method such as a wireless LAN or WiMax.

  In addition to this, the information processing apparatus 30 may have a microphone, a camera, an external I / F, an acceleration sensor, an azimuth sensor (magnetic sensor), a GPS (Global Positioning System) receiving apparatus, and the like.

  The program 37p (skill evaluation application) stored in the auxiliary storage device 37 of the information processing device 30 may be distributed by downloading from a server for program distribution, or is stored in a storage medium (not shown). May be distributed at

  The hardware configuration of the server 50 is the same as that of a general server apparatus (general information processing apparatus), and even if there is a difference, there is no problem in the description of the present embodiment.

<About function>
The functions of the measuring device 10, the information processing device 30, and the server 50 will be described with reference to FIG. FIG. 7 is an example of a functional block diagram showing the functions of the measuring device 10, the information processing device 30, and the server 50 in the traveling data evaluation system 100 in block form.

<< Measurement device >>
The measuring device 10 includes a traveling data detection unit 61, a control execution unit 62, a traveling data transmission unit 63, and a control signal reception unit 64. Each of these functions of the measurement apparatus 10 is a function or means implemented by the control unit 15 of the measurement apparatus 10 executing a program and controlling each component of the measurement apparatus 10.

  The travel data detection unit 61 is a function realized by the operations of the acceleration sensor 11, the gyro sensor 12, and the rotation sensor 13, and detects travel data of acceleration, angular velocity ω, and rotation speed. The travel data transmission unit 63 transmits the travel data to the information processing device 30. The timing of transmission is various as described above, but the start and end (one run data) of one run can be known by a control signal described later.

  The control signal receiving unit 64 receives a control signal from the information processing device 30. The control signals are, for example, measurement start, stop, start / stop of designated sensor, and measurement end. There may be various control signals in addition to this. The control execution unit 62 controls the measuring device 10 based on the control signal. The operation mode is determined according to the control signal, and acquisition and acquisition of traveling data are started and ended. For example, the operation mode of the measuring apparatus 10 is shifted to the high accuracy mode by the control signal of measurement start, and the traveling data detection unit 61 starts the detection of traveling data. In response to the control signal of measurement completion, the travel data detection unit 61 stops the detection of the travel data, and shifts the operation mode of the measuring device 10 to the energy saving mode.

<< Information processing device >>
The information processing apparatus 30 includes a travel data acquisition unit 71, a screen display unit 72, a control signal transmission unit 73, a ranking acquisition unit 74, an analysis request unit 75, an analysis result acquisition unit 76, an operation reception unit 77, and a login request unit 78. Have. These functions of the information processing device 30 are realized by the CPU 39 of the information processing device 30 executing the program 37p developed from the auxiliary storage device 37 to the RAM 36 to control the components of the information processing device 30. Function or means.

  The travel data acquisition unit 71 acquires travel data from the measuring device 10. Acquisition of travel data is performed by the skill evaluation application being measured by the operation of the driver or the person in charge 7. When travel data is transmitted in real time, the fact that the travel data acquisition unit 71 is acquiring travel data means that the driver 8 is traveling (the communication between the person 7 and the driver 8 is successful? Situations such as the driver not traveling may occur). If the radio wave intensity decreases while acquiring the traveling data, the traveling data acquisition unit 71 acquires the traveling data when the communication is established again. When the measuring device 10 holds traveling data instead of real time, for example, acquisition of the traveling data is started by turning on the power switch 18 of the measuring device 10 and is ended by turning off. Then, communication is established, and when the skill evaluation application is under measurement by the operation of the driver 8 or the person in charge 7, travel data is acquired. The measuring apparatus 10 may have a switch for data transfer.

  The travel data acquisition unit 71 causes the travel data storage unit 79 to store one travel data. The traveling data holding unit 79 holds one or more traveling data in time series. That is, from the start of measurement to the end of measurement, each data of rotational speed, acceleration, and angular velocity ω is held in association with time (which may be absolute time or relative time).

  The analysis request unit 75 transmits an analysis request including the traveling data held in the traveling data holding unit 79 to the server 50. The analysis request unit 75 collectively transmits travel data (from the start of travel to the end of travel) for one travel, and transmits the travel data to the server 50. A traveling course to be described later is also transmitted. The analysis request unit 75 can also transmit traveling data for a plurality of travelings in one transmission.

  The analysis result acquisition unit 76 acquires an analysis result from the server 50. Although the details will be described later, the analysis result is, for example, the level of the driver 8 for each evaluation factor of the driving skill, the mission, the progress of the mission, and the completion of the mission. Further, the analysis result acquisition unit 76 can acquire various other information.

  The screen display unit 72 displays various screens on the display device 32 of the information processing device 30. Examples of these screens are shown in FIG. 8 and FIG. Further, the screen display unit 72 changes the screen in accordance with the operation accepted by the operation accepting unit 77. The operation reception unit 77 receives various operations of the driver 8 or the related person 7 on the information processing device 30. The operation content accepted by the operation accepting unit 77 is sent to the screen display unit 72, the control signal transmission unit 73, the login request unit 78, and the like.

  The control signal transmission unit 73 transmits, for example, a control signal corresponding to the content of the operation to the measuring device 10. As described above, the control signal is, for example, measurement start, stop, start / stop of designated sensor, measurement end, and the like. The login request unit 78 transmits a login request to the server 50 together with the identification information of the driver 8 or the related person 7 and the password (account information). Login refers to an authentication operation of accessing data of an individual using account information registered in advance when using a service provided by the server 50. Sometimes called logon. The identification information may be an e-mail address or an ID of a skill evaluation application. The driver or the person in charge 7 may input the identification information and the password to the information processing apparatus 30, or the information processing apparatus 30 may store the identification information and the password.

  The ranking acquisition unit 74 acquires, from the server 50, the ranking of the driver 8 determined based on the level for each evaluation element. Information that conveys the ranking of the driver 8 is referred to as ranking information.

<< Server >>
The server 50 includes a ranking processing unit 81, an information generation unit 82, a level determination unit 83, a preprocessing unit 84, an authentication unit 85, an analysis result transmission unit 86, and an analysis request acquisition unit 87. Each of these functions of the server 50 is a function or means implemented by the CPU of the server 50 executing a program expanded from the auxiliary storage device to the RAM and controlling the respective components of the server 50.

  The server 50 also has a user information DB 91, a level determination table DB 92, and a traveling part table DB 93. These are storage means built in an HDD (Hard Disk Drive), flash memory, RAM, etc. that can be used by the server 50.

表１は走行パートテーブルＤＢ９３が記憶する走行パートテーブルの一例である。走行パートテーブルは、前処理部８４が走行コースからどのような走行パートを抽出するかを決定するために使用される。走行パートテーブルには、走行コースが有する走行パートが走行コースごとに設定されている。走行コースの一例は表１に示すが、主に、直進のみの走行コース（ストレート）、１回だけ旋回走行する走行コース（ヘアピン、コーナー、Ｌ字、右左折）、２回旋回する走行コース（Ｓ字カーブ）、直進と２回の旋回を含む走行コース（クランク）がある。直進のみのストレート以外の走行コースは、右旋回と左旋回で別に扱われる。これは、前処理部８４がカーブ中央部Ｃ２を抽出する際にふらつきなどを旋回であると誤検出するおそれを低減するためである。

Table 1 is an example of a traveling part table stored by the traveling part table DB 93. The traveling part table is used to determine what kind of traveling part the preprocessing unit 84 extracts from the traveling course. In the traveling part table, traveling parts included in the traveling course are set for each traveling course. An example of the traveling course is shown in Table 1, mainly a traveling course only for straight running (straight), a traveling course (a hairpin, a corner, an L-shape, a left / right turn) traveling only once, a traveling course (two turns) There is a traveling course (crank) including S-curve, straight and two turns. Courses other than straight only straight are treated separately by right turn and left turn. This is to reduce the possibility that the pre-processing unit 84 erroneously detects a swing or the like as turning when extracting the curve central portion C2.

表２は、レベル決定テーブルＤＢ９２が記憶するレベル決定テーブルの一例である。レベル決定テーブルは、走行パートに対しどのような評価要素のレベルが決定されるかが登録されている。例えば、走行パートが直進走行又はカーブ中央部の場合、平均推進力、最大推進力、ピッチ数、平均ストライド、最高速度、及び、初速加速度の各レベルが決定される。また、走行パートが直進走行の場合、ふらつきのレベルが決定される。また、走行パートがカーブ中央部Ｃ２の場合、平均速度、最高速度、進入速度、及び出口速度のレベルが決定される。なお、最高速度は各走行パートで１回算出されればよい。

Table 2 is an example of the level determination table stored in the level determination table DB 92. In the level determination table, what level of evaluation factor is determined for the traveling part is registered. For example, when the running part is straight running or at the center of a curve, the levels of average propulsive force, maximum propulsive force, pitch number, average stride, maximum speed, and initial speed acceleration are determined. Also, when the traveling part is traveling straight, the level of wander is determined. In addition, when the traveling part is at the curve center C2, the levels of the average speed, the maximum speed, the approach speed, and the exit speed are determined. The maximum speed may be calculated once in each traveling part.

  The correspondence between the traveling part and the evaluation element is merely an example, and the level may be determined throughout the traveling course, or the level of only the average speed and the maximum speed may be determined at the curve center C2. In addition, the levels of 1 to 5 levels are determined by way of example only, and may be 10 levels (or more) or 3 levels.

表３はユーザ情報ＤＢ９１が記憶するユーザ情報テーブルの一例である。ユーザ情報テーブルは、各運転者８に関する情報を有している。ニックネームは運転者８の愛称である。本名であってもよい。識別情報とパスワードは運転者８又は関係者７のアカウントである。最新レベルは、運転者８の最新の（現在の）評価要素ごとのレベルである。現在のミッションは、運転者８が現在、遂行しているミッションの内容である。ミッションとは、移動体の運転に関するスキルを向上させるために実行すべきことである。例えば、練習方法や課題ということができる。ミッションの進捗状況は、現在のミッションがどのくらい進捗したかを示す。現在のミッションは複数あってもよく、その場合、ミッションの進捗状況はミッションごとに管理される。

Table 3 is an example of the user information table stored in the user information DB 91. The user information table has information on each driver 8. The nickname is a nickname of the driver 8. It may be a real name. The identification information and the password are accounts of the driver 8 or the person in charge 7. The latest level is the level for each latest (current) evaluation factor of the driver 8. The current mission is the content of the mission currently performed by the driver 8. A mission is something that should be done to improve the driving skills of a mobile. For example, it can be said that it is a practice method or a task. The progress of the mission shows how much the current mission has progressed. There may be multiple current missions, in which case the progress of the mission is managed on a mission-by-mission basis.

  Referring back to FIG. The authentication unit 85 establishes the authentication depending on whether the same identification information and password as the identification information and password of the driver 8 (or the related person 7) held in advance in the user information DB 91 are included in the login request. Determine if it is or not. The driver 8 or the person concerned 7 can be identified by the certification being established.

  The analysis request acquisition unit 87 acquires an analysis request including travel data for at least one time from the information processing device 30, and sends the analysis request to the preprocessing unit 84. At this time, the traveling course is also transmitted. The preprocessing unit 84 performs preprocessing on traveling data with reference to the traveling part table DB 93. Pre-processing refers to classification of traveling data into traveling parts. Details will be described later.

  The level determination unit 83 analyzes the traveling data for each traveling part, and determines the level regarding the driving skill of the driver 8 for each of the evaluation elements shown in Table 2. The level determination unit 83 determines the mission associated in advance with the determined level. Specifically, it may be referred to as a practice method. The level determination unit 83 sends the level and the mission to the information generation unit 82, and registers the level and the mission in the user information DB.

  The information generation unit 82 generates an analysis result to be transmitted to the information processing device 30 according to the current level, the mission, the progress status of the mission, and the completion of the mission. For example, the level of each evaluation element is converted into a chart, or text data on a mission is generated. The analysis result is sent to the analysis result transmission unit 86, and the analysis result transmission unit 86 transmits the analysis result to the information processing apparatus 30. If the skill evaluation application is a browser, generate analysis results in HTML or XML.

  The ranking processing unit 81 ranks the traveling skills of the plurality of drivers 8 based on the latest level of the user information stored in the user information DB 91. For example, the position of the driver 8 is specified for each evaluation element and transmitted to the information processing device 30. In the ranking, not only the magnitude of the level but also the traveling time and the traveling frequency may be taken into consideration.

<Screen example>
8 and 9 show examples of various screens displayed by the information processing apparatus 30. FIG. 8A shows an initial screen 301 of the skill evaluation application. The initial screen 301 is a screen displayed immediately after the driver 8 or the related person 7 starts the skill evaluation application. The initial screen 301 has a login button 302 and a user registration button 303. The login button 302 is a button for the driver 8 or the related person 7 to log in to the server 50, and the user registration button 303 is a button for newly registering a user.

  FIG. 8 (b) shows the current status screen 311. The current status screen 311 is displayed when the driver 8 or the related person 7 logs in. The current status screen 311 has a batch field 312, a level field 313, a practice button 314, and a speed monitor button 315. The batch column 312 displays a list of batches acquired by the driver 8 in the past. This (the icon of) this batch is the reward given by the completion of the mission. The level column 313 displays the current level for each evaluation element. The practice button 314 is a button for displaying a course selection screen 321 for the driver 8 or the related person 7 to select a traveling course. The speed monitor button 315 is a button that allows the information processing apparatus 30 to monitor the speed and distance of the moving body 9 in real time.

  FIG. 8C shows a course selection screen 321. The course selection screen 321 is displayed when the driver 8 or the person in charge 7 presses the button 314 to practice. The course selection screen 321 has one or more course selection buttons 322. The course selection button 322 is a button for the driver 8 or the person in charge 7 to select a previously prepared course. On the traveling course including the curve central portion C2, “right or left” indicating a turning direction and a radio button 323 are displayed. The driver or the related person 7 also selects either the right or left radio button 323.

  The selected traveling course (including the selection result of “right or left”) is transmitted to the server 50 together with the traveling data and is used for extraction of the traveling part. Since the server 50 analyzes the traveling data based on the traveling course, it becomes easy to analyze the traveling data even if there is instability or the like.

  FIG. 8D shows a course confirmation screen 331. The course confirmation screen 331 is displayed when the driver 8 or the person in charge 7 selects a course. The course confirmation screen 331 has a course shape field 332, a back button 333 and a start button 334. The course shape column 332 is a column that indicates the approximate shape, distance, and the like of the course on which the driver 8 is to travel from now on with images and photographs. A back button 333 is a button for returning to the course selection screen 321. The start button 334 is a button for the measurement device 10 to start acquisition of travel data. The driver 8 starts traveling by pressing the start button 334 (for example, the related person 7 presses the start button 334 and the related person 7 issues an instruction such as "start", whereby the driver 8 travels Start.).

  FIG. 9A shows a screen 341 during measurement. The measuring screen 341 is displayed when the start button 334 is pressed. During this screen, the information processing device 30 acquires traveling data transmitted by the measuring device 10. The measuring screen 341 has a stop button 342 and an end button 343. The stop button 342 is a button for stopping acquisition of the traveling data, and a control signal for instructing the measuring device 10 to stop is transmitted. The information processing device 30 discards the travel data acquired halfway, and returns to the course confirmation screen 331. The end button 343 is a button that the driver 8 or the person in charge 7 presses when the driver 8 completes the traveling of the traveling course. Thereby, traveling data for one traveling is acquired.

  FIG. 9 (b) shows an analysis confirmation screen 351. The analysis confirmation screen 351 is displayed when the end button 343 is pressed. The analysis confirmation screen 351 has a No button 352 and a Yes button 353. The NO button 352 is pressed when the driver 8 or the person in charge 7 determines that analysis of the traveling data is not performed, and the YES button 353 is pressed when analyzing the traveling data. When the NO button 352 is pressed, the information processing device 30 discards the traveling data, and when the YES button 353 is pressed, the information processing device 30 transmits an analysis request including the traveling data to the server 50.

  FIG. 9C shows a screen 361 during analysis. The analysis in progress screen 361 is displayed when the yes button 353 is pressed. The analysis in progress screen 361 has a stop button 362. The cancel button 362 is a button for the driver 8 or the person in charge 7 to stop the analysis halfway. When the cancel button 362 is pressed, the server 50 cancels the analysis.

  FIG. 9D shows an analysis result screen 371. The analysis result screen 371 is displayed when acquiring the analysis result from the server 50. The analysis result screen 371 is a screen for displaying the analysis result, and displays the level of the driver 8 in a chart or the like for each evaluation factor of the driving skill. The analysis result screen 371 has a mission presentation button 372. The mission presentation button 372 is a button for presenting the current mission. Preferably, the mission presentation button 372 is also displayed on the current status screen 311 or the like.

  FIG. 9E shows the mission screen 381. The mission screen 381 is displayed when the mission presentation button 372 is pressed. The mission screen 381 has a current mission field 382 and a progress status field 383. The current mission column 382 displays one or more missions determined according to the level of the driver 8. There may be multiple missions. The driver 8 can advance a plurality of missions in parallel. The progress column 383 displays how much the mission has progressed. Immediately after the mission is decided, it is 0 times.

<Operation procedure>
FIG. 10 is an example of a sequence diagram showing a procedure in which the measuring device 10 transmits traveling data to the information processing device 30. The measuring device 10 is attached to the moving body 9, and the skill evaluation application is installed in the information processing device 30.

  S1: The driver 8 or the related person 7 operates the information processing device 30 to activate the skill evaluation application.

  S2: Assuming that the user registration has already been completed, the driver 8 or the related person 7 presses the login button 302 on the initial screen 301, and the login request unit 78 transmits a login request (identification information and password) to the server 50 Do. In the present embodiment, it is assumed that login is possible.

  S3: Also, the driver 8 or the person in charge 7 presses the power switch 18 of the measuring device 10 to activate the measuring device 10.

  S4: The short distance communication unit 16 of the activated measuring device 10 automatically establishes communication with the information processing device 30 which has been paired.

  S5: The operation reception unit 77 of the information processing device 30 receives the operation of the driver 8 or the related person 7, and the screen display unit 72 displays various screens, and pressing of the start button 334 (measurement start) on the course confirmation screen 331 Accept

  S6: Thereby, the control signal transmission unit 73 of the information processing device 30 transmits a control signal (measurement start).

  S7: The control signal reception unit 64 of the measurement apparatus 10 receives the control signal (measurement start), and for measurement, the control execution unit 62 switches the operation mode to the high precision mode if necessary. If necessary, if the measuring apparatus 10 immediately after start-up is in the high accuracy mode, it is a case where it shifts to the energy saving mode by the reception of the control signal. In addition, if the measurement device 10 immediately after startup is in the energy saving mode, it is necessary to switch the operation mode.

  S8: The control execution unit 62 of the measuring device 10 causes the traveling data detection unit 61 to start detection of the traveling data. The travel data detection unit 61 starts detection of travel data.

  S9: The traveling data transmission unit 63 of the measuring device 10 appropriately transmits the traveling data detected by the traveling data detection unit 61 to the information processing device 30. When the communication is interrupted, it may be transmitted when the communication is resumed.

  S10: The traveling data acquisition unit 71 of the information processing device 30 acquires traveling data and stores it in the traveling data storage unit 79.

  S11: If the driver 8 or the person in charge 7 determines that the driver 8 has finished traveling on the traveling course, the driver 8 or the person in charge 7 presses the end button 343 on the during measurement screen 341. The operation accepting unit 77 accepts this operation.

  S12: Thereby, the control signal transmission unit 73 of the information processing device 30 transmits a control signal (measurement completion).

  S13: The control signal reception unit 64 of the measurement apparatus 10 receives the control signal (measurement completion), and the control execution unit 62 causes the traveling data detection unit 61 to stop the detection of the traveling data, and switches the operation mode to the energy saving mode. It is not necessary to switch to the energy saving mode.

  FIG. 11 is an example of a sequence diagram showing a procedure in which the information processing apparatus 30 transmits an analysis request to the server 50 and acquires an analysis result. The process of FIG. 11 is performed following FIG.

  S21: The driver 8 or the person in charge 7 determines whether or not to analyze, considering whether it is appropriate to determine the level from the situation of traveling and the like. This embodiment will be described as an analysis. The driver 8 or the person in charge 7 presses the yes button 353 on the analysis confirmation screen 351. The operation accepting unit 77 accepts this operation.

  S22: The analysis request unit 75 of the information processing device 30 transmits an analysis request including the traveling data of the traveling data storage unit 79 and the traveling course to the server 50.

  S23: The analysis request acquisition unit 87 of the server 50 acquires the analysis request and the traveling course, and the server 50 starts the analysis. The procedure of analysis is described in FIG.

  S24: The analysis result transmission unit 86 of the server 50 transmits the analysis result to the information processing apparatus 30.

  S25: The analysis result acquisition unit 76 of the information processing device 30 acquires the analysis result, and the screen display unit 72 displays the analysis result screen 371 on the display device 32. That is, the level and mission of each evaluation factor of driving skill are displayed.

<Analytical processing>
FIG. 12 is an example of a flowchart showing the procedure of analysis processing performed by the server.
First, the preprocessing unit 84 determines one or more traveling parts by reading out the traveling parts associated with the traveling course transmitted from the information processing device 30 from the traveling part table (S101). For example, on a traveling course of a right turn, three traveling parts are determined: straight running (front), a curve center (right turn), and straight running (after).

  Next, the preprocessing unit 84 determines whether the traveling part includes the curve central portion (S102). It is clear from the traveling part determined in step S101 whether or not the curve center is included.

  When the curve central portion C2 is included in the traveling part, the preprocessing unit 84 classifies the traveling data into the traveling part (S103). Classifying the traveling data including the curve central portion C2 into the traveling parts means classifying the traveling data into the curve central portion C2 and the other traveling data, or the traveling data corresponding to the curve central portion C2 from the traveling data To extract. The details of this process will be described with reference to FIG.

  In the case where the traveling part does not include the curve central portion C2, the traveling data should include only straight traveling, but some pre-processing may be performed.

Next, the level determination unit 83 determines the level for each evaluation element associated with the traveling part (S104). That is, referring to the level determination table of Table 2, the average propulsive force, the maximum propulsive force, the number of pitches, the average stride, the maximum speed, the initial speed acceleration, and each level of wander are determined for the traveling part of straight traveling. The average speed, the maximum speed, the approach speed and the exit speed when traveling on the curve central portion C2 are determined with respect to the traveling part of the curve central portion C2 (excluding the unevenness). The level is determined by dividing it into five levels of 1 to 5 in accordance with the determined value. An example of how to determine the level for each evaluation element is shown below.
・ Average propulsive force, maximum propulsive force: Calculated by multiplying acceleration by a coefficient. The coefficient is, for example, the sum of the weights of the driver 8 and the mobile unit 9, but may be an approximate value. Also, the acceleration itself may be used as the propulsive force.
The number of pitches: The number of pitches is the number of times the driver 8 kicks the ground with his / her feet when traveling. Since the driver 8 alternately lifts the ground with the left and right feet, a roll motion occurs in the moving body 9. The level determination unit 83 focuses on the acceleration in the left and right direction, and counts the number of times the positive value exceeds the zero point and becomes a negative value, and the number of times the negative value exceeds the zero point and a positive value. Pretreatment may be performed after removing high frequency components.
Average stride: The stride indicates how far to go when you hit the ground once. It is calculated by travel distance / pitch number. The travel distance is calculated by multiplying the rotational speed detected by the rotation sensor 13 by a coefficient (the length of the circumference of the wheel).
-Maximum speed: Calculated by the time required for traveling by the distance traveled when traveling straight ahead. The time required for traveling is the time of each traveling part.
Initial velocity acceleration: acceleration one second after the start.
Stabilization: The sum of absolute values of left and right acceleration. Alternatively, it is the sum of the absolute values of the positive and negative angular velocities ω when the yaw angular velocity ω changes across zero.
The average speed of the curve central portion C2, the maximum speed may be the average of the traveling speeds of the traveling data of the curve central portion C2, or the maximum speed.
Entry speed: Initial speed of travel data at curve center C2 End speed of travel data at curve center C2 <Extraction of curve center C2>
FIG. 13 is an example of a flowchart showing a procedure in which the preprocessing unit 84 extracts the traveling data of the curve central portion C2 from the traveling data. The description of FIG. 13 will be made with reference to FIG. 14 as appropriate. FIG. 14 is an example of a diagram for explaining the specification of the vertex data P and the minimum change data M1 and M2.

  The preprocessing unit 84 calculates the azimuth angle θ (yaw angle) in time series from the data of the angular velocity sensor (S201). FIG. 14A shows the value of the azimuth angle θ in the traveling data in time series. The azimuth angle θ is 0 degrees at the start of traveling. When the traveling course turns to the right, the azimuth angle θ changes from 0 degrees to about 90 degrees positive.

  The preprocessing unit 84 counts how many azimuth angles θ data exist in a certain range of the azimuth angle θ (S202). FIG. 14B shows, as an example, a count number obtained by dividing the azimuth angle θ by 10 degrees and counting the number of data of the azimuth angle θ included in the range of 10 degrees. For example, the number of azimuth angles θ of less than −10 degrees is counted as 0, and the number of azimuth angles θ of −10 degrees or more and less than 0 degrees is counted as 12 (hereinafter abbreviated). Note that setting 10 degrees is merely an example, and 5 degrees may be set, or 20 degrees may be set. A range other than these may be used.

  Next, the preprocessing unit 84 specifies the azimuth angle θ (positive or negative) in the turning direction input together with the traveling data (S203). Thereby, when a driver meanders except curve central part C2, it can control that a meandering part is misjudged as curve central part C2. Details will be described with reference to FIG.

  Next, the preprocessing unit 84 determines the median of the range with the smallest count number as the vertex data P (S204). Referring to FIG. 14 (b), the range of 40 degrees or more and less than 50 degrees is first determined because it is the range of 40 degrees or more and less than 50 degrees that has the smallest count number. In FIG. 14B, since the count number is 1, the vertex data P is uniquely determined. If the count number in the range where the count number is the smallest is 2 or more and odd, the median is determined to be vertex data P, and if 2 or more and even, either one of the two medians is determined to be vertex data P.

  FIG. 14 (c) is a graph of the count number for each range of FIG. 14 (b). The graphing will clarify the range of the smallest number of unds. If the sampling cycle of the measurement data is constant, the larger the angular velocity ω, the smaller the number of counts in the range. Therefore, it is possible to estimate that the angular velocity ω changes the most in the range where the count number is the smallest, and this range is the top of the curve central portion C2. The vertex of the curve central portion C2 is the central point of turning. As described above, the preprocessing unit 84 can determine the vertex of the curve central portion C2 by determining the range in which the number of counts is relatively small.

  Next, the preprocessing unit 84 specifies an azimuth angle θ at which the amount of change of the azimuth angle θ before the vertex data P starts to increase or 0, and determines this as the minimum change data M1 (S205). The amount of change is the difference between two adjacent azimuth angles θ. This will be described with reference to FIG. The vertex data P is data having an azimuth angle θ of 46 degrees. The data of which the change amount becomes 0 in the data of the azimuth angle θ before this is the data of which the azimuth angle θ is −2 degrees. Therefore, data whose azimuth angle θ is −2 degrees is the minimum change data M1. The fact that the amount of change in the azimuth angle θ prior to the vertex data P is 0 means that the azimuth angle θ has finally become stable before entering the cornering, so at the curve start point S It can be determined that there is.

  Here, the fact that the amount of change starts to increase means that the difference between two adjacent azimuth angles θ starts to gradually increase. That is, the change speed of the azimuth angle θ takes a local minimum value. Such a situation may occur when the vehicle is meandering or the curve is continuous. For example, assuming that the azimuthal angle when going back in time is 0, -1, -2, -4, -7, it starts to increase from -2 to -4. In the case of 0, 1, 2, 4 and 7, it has started to increase by 2 to 4.

  Next, the preprocessing unit 84 specifies data of an azimuth angle θ starting from the vertex data P where the change amount of the azimuth angle θ starts to increase or is zero, and determines it as the minimum change data M2 (S206). This will be described with reference to FIG. The vertex data P is data having an azimuth angle θ of 46 degrees. It is data of azimuth angle θ of 88 degrees that the amount of change becomes 0 in the data of azimuth angle θ later than this. Therefore, data whose azimuth angle θ is 88 degrees is the minimum change data M2. It can be determined that the end point E of the curve is that the change amount of the azimuth angle θ after the vertex data P becomes 0, which means that the azimuth angle θ first becomes stable after turning. . The meaning that the amount of change starts to increase is the same as the minimum change data M1 (the change rate of the azimuth angle takes a local minimum value).

  FIG. 15 is a diagram for explaining the curve central portion C2 extracted by the preprocessing unit 84. As shown in FIG. FIG. 15 (a) shows a traveling locus, and FIG. 15 (b) shows an angular velocity ω and an azimuth angle θ. FIG. 15 (a) is the same as FIG. 2 (e). As shown in FIG. 15 (a), the moving body 9 flutters in front of the curve central portion C2. FIG. 15 (b) shows traveling data at this time. As shown in FIG. 15 (a), the driver steers to the left, right, and left in front of the curve center portion C2, so the traveling locus in FIG. 15 (a) is the left meandering portion 213 and the right meandering portion 214. , Left meandering portion 215. Therefore, the angular velocity ω of the traveling data starts to increase after showing a negative value, a positive value, and a negative value.

  Since the traveling data evaluation system 100 according to the present embodiment determines the turning direction, first, the traveling data including the vertex data P can be narrowed down (in the case of a right turn, the azimuth is positive). Then, for example, the travel data of the right meandering portion 214 is not selected because the range in which the count value every 10 degrees is relatively smallest is determined (for example, when the angle does not greatly change in the meandering, it is within 10 degrees) All the travel data in the range are likely to be included, so the azimuth count of the range tends to increase. Further, since the point at which the azimuth angle θ calculated from the angular velocity ω is stabilized is determined as the start point S and the end point E of the curve, traveling data of the curve central portion C2 can be extracted.

  That is, even if there is a meander or fluctuation in the traveling locus, the traveling data evaluation system 100 relatively identifies the top of the curve, and from there, identifies the start point S and the end point E of the curve where the amount of change in azimuth angle decreases. Therefore, the curve central portion C2 can be extracted even if there is a meander or sway.

  In the traveling data, straight traveling in front of the curve central portion C2 is also extracted, but in the traveling data which should be straight traveling, the left meandering portion 213, the right meandering portion 214, and the left meandering portion 215 exist. Since the traveling data of such straight traveling is determined to be unstable, the level determination unit 83 determines a low level.

  Further, the preprocessing unit 84 may specify the vertex of the curve central portion C2 based on the angular velocity ω. Also in this case, the positive / negative of the angular velocity ω is selected according to the turning direction, and the traveling data with the fastest angular velocity (absolute value) is specified. The traveling data in which the change speed of the azimuth angle θ is the largest is because the angular velocity ω becomes the largest in many cases.

<Significance to consider turning direction>
In the present embodiment, in the traveling course including the curve central portion C2, the preprocessing unit 84 extracts traveling data of the curve central portion C2 using the turning direction. If the turning direction is not specified, the following problems may occur.

  FIG. 16 shows an angular velocity ω and an azimuth angle θ of traveling data meandering to the left before entering an intersection. Although the range in which the number of counts is the smallest is the range in which the change in the azimuth angle θ is the largest, there may be a plurality of such ranges. The largest change in the azimuth angle θ means that the inclination of the azimuth angle θ is large in the traveling data of FIG. 16, but as shown in FIG. 16, the traveling data has two or more large inclinations of the azimuth angle θ. If it does, the preprocessing unit 84 can not uniquely determine the vertex data P.

  Therefore, the preprocessing unit 84 of the present embodiment uses the turning direction input by the driver 8 or the person in charge 7. That is, the preprocessing unit 84 has an azimuth angle θ of a code determined by the turning direction, and further specifies a range in which the count number is minimum. For example, it is assumed that a positive azimuth angle θ is calculated by turning right. When the turning direction inputted by the driver 8 or the person 7 is right turning, it has a positive azimuth angle θ, and further specifies a range in which the count number is minimum. When the turning direction inputted by the driver or a person concerned is a left turn, it has a negative azimuth angle θ and further specifies a range in which the count number is the smallest.

  Accordingly, even if the driver performs the same meandering as the curve central portion C2 except for the curve central portion C2 due to the sway or the like, the curve central portion C2 can be easily extracted.

  When the vertex data P is specified by the traveling data with the largest angular velocity ω, the traveling data with the largest angular velocity ω (absolute value) determined by the turning direction is specified as the vertex data P.

<S-curve, crank>
The travel data evaluation system of this embodiment can extract curves of all angles and compound curves (crank, S-curve, etc.) by the same algorithm as long as the shape (turning direction) of the travel course is known. .

  FIG. 17 is an example of a diagram for explaining extraction of a curve central portion C2 in an S-shaped curve. FIG. 17 (a) shows the count number for each range extracted by the S-curve, FIG. 17 (b) shows the shape of the S-curve, and FIG. 17 (c) shows the positions A to E of the S-curve. And the azimuth angle θ. This S-shaped curve is shaped to turn to the right after turning to the left. At the time of the left turn which is the first turn, the azimuth angle θ is minus. The azimuth angle θ is also negative when turning right. The pre-processing unit 84 counts the number of data of the azimuth angle θ for each range, and specifies the range in which the azimuth angle θ is minus and the count number is the smallest and the second smallest. Vertex data P1 and P2 are specified from each range. Specify the minimum change data M1 before the vertex data P1 and the change of the azimuth angle θ starts to increase or zero or the minimum change data M2 after the vertex data P1 and the change of the azimuth angle θ starts to increase or zero Do. The minimum change data M1 (which may coincide with the minimum change data M2 of the first left turn) which precedes the vertex data P2 and in which the variation of the azimuth angle θ starts to increase or is zero or more than the vertex data P2 The minimum change data M2 at which the amount of change in the azimuth angle θ starts to increase or zero later is specified.

  As described above, if the shape (turning direction) of the traveling course is known, even in the case of a complicated traveling course such as an S-shaped curve, the preprocessing unit 84 relatively specifies the vertex data P, so the two curve centers Part C2 can be extracted. The travel data may be divided into the first half and the second half, and the range with the smallest count number may be specified, instead of merely specifying the range with the smallest count and the range with the next smallest count.

  FIG. 18 is an example of a diagram for explaining the extraction of the curve central portion C2 in the crank. 18 (a) shows the count number for each range extracted by the crank, FIG. 18 (b) shows the shape of the crank, and FIG. 18 (c) shows the correspondence between the position of the crank A to D and the azimuth angle θ. Indicates This crank is shaped to turn to the left after turning to the right. At the time of the first turn of the turn, the azimuth angle θ is positive. The azimuth angle θ is also positive when turning left. The pre-processing unit 84 counts the number of data of the azimuth angle θ for each range, and specifies the range in which the azimuth angle θ is positive and the count number is smallest and the range in which the count number is smallest. Vertex data P1 and P2 are specified from each range, minimum change data M1 before the vertex data P1 and the change amount of the azimuth angle θ starts to increase or zero, change after the vertex data P1 changes the azimuth angle θ Identify the minimum change data M2 in which the quantity starts to increase or decrease. Similarly, the minimum change data M1 before the vertex data P2 and at which the variation of the azimuth angle θ starts to increase or zero, and the minimum variation data after the vertex data P2 at which the change of the azimuth angle θ begins to increase or zero Identify M2.

  As described above, if the shape (turning direction) of the traveling course is known, even in a complicated traveling course such as a crank, since the preprocessing unit 84 relatively specifies the vertex data P, the two curve central portions C2 It can be extracted. The travel data may be divided into the first half and the second half, and the range with the smallest count number may be specified, instead of merely specifying the range with the smallest count and the range with the next smallest count.

<Summary>
As described above, the traveling data evaluation system according to the present embodiment extracts the curve central portion C2 from the top of the relatively determined curve even if the traveling locus has the meandering or fluttering, so there is a meandering or fluctuating However, it is possible to specify the start point and the end point of the curve, and extract the traveling part according to the road shape from the traveling data. Therefore, it is possible to associate the acquired travel data with the road shape and to evaluate whether or not the appropriate driving has been performed for each travel part.

  Also, in principle, classification into traveling parts becomes possible only with the angular velocity of the yaw angle of the gyro sensor.

<Other application examples>
As described above, the best mode for carrying out the present invention has been described using the examples, but the present invention is not limited to these examples at all, and various modifications can be made without departing from the scope of the present invention. And substitution can be added.

  For example, in the present embodiment, the server 50 classifies the traveling data as a traveling part, but the information processing apparatus 30 has the preprocessing unit 84 of the server 50, and the information processing apparatus 30 extracts the curve central portion C2 etc. You may

  Further, in the present embodiment, when the traveling part is classified, the turning direction input by the driver or a related person is referred to. However, the turning direction may not be provided in the road shape with one turning. For example, in this case, the vertex data P is specified as the range in which the absolute value of the azimuth angle is the largest among the ranges where the count number is the smallest.

  In addition, the configuration example in FIG. 7 and the like is divided according to main functions in order to facilitate understanding of processing by the measuring device 10, the information processing device 30, and the server 50. The present invention is not limited by the method and name of division of processing units. The processing of the measuring device 10, the information processing device 30, and the server 50 can also be divided into more processing units according to the processing content. Also, one processing unit can be divided to include more processes.

  In addition, the server 50 may have a part of the functions of the information processing apparatus 30 or the information processing apparatus 30 may have a part of the functions of the server 50.

  The travel data detection unit 61 is an example of a detection unit, the analysis request acquisition unit 87 is an example of a travel data acquisition unit, the preprocessing unit 84 is an example of an extraction unit, and the level determination unit 83 is an evaluation unit. It is an example. The travel data transmission unit 63 is an example of a travel data transmission unit, the travel data acquisition unit 71 is an example of a second travel data acquisition unit, and the analysis request unit 75 is an example of a transmission unit. Is an example of an analysis result acquisition unit, and the screen display unit 72 is an example of an output unit. The information processing apparatus 30 is an example of the information processing apparatus according to claim 10 of the claims, and the server 50 is an example of the information processing server according to claim 10.

8: Driver 9: Moving object 10: Measuring device 30: Information processing device 50: Server 100: Driving data evaluation system

Claims (10)

A travel data evaluation system comprising: a measurement device attachable to a mobile object; and an information processing system for acquiring travel data acquired by the measurement device,
The measuring device
One or more detection means for detecting the traveling data;
The information processing system is
Travel data acquisition means for acquiring the travel data detected by the detection means;
From the traveling data acquired by the traveling data acquisition means, the apex data corresponding to the apex of the road shape for which the moving body changes course is specified, and one or more traveling parts corresponding to the road shape are identified based on the apex data Extraction means for extraction;
Evaluation means for evaluating travel data for each of the traveling parts extracted by the extraction means;
Driving data evaluation system with.   The travel data evaluation system according to claim 1, wherein the data corresponding to the top of the road shape in which the moving body changes the route is data in which the traveling direction of the moving body changes the fastest. One of the detection means detects an angular velocity at which the azimuth changes.
The travel data evaluation system according to claim 1 or 2, wherein the extraction means specifies travel data having the largest change speed of the azimuth calculated from the angular velocity included in the travel data as the vertex data. .   The extraction means divides the azimuth calculated from the angular velocity included in the travel data into a range of azimuths, counts the number of azimuths for each of the ranges, and selects the range from the smallest number of azimuths. The travel data evaluation system according to claim 3, wherein the vertex data is specified. One of the detection means detects an angular velocity at which the azimuth changes.
The travel data evaluation system according to claim 1 or 2, wherein the extraction unit specifies travel data having the largest absolute value of the angular velocity included in the travel data as the vertex data.   The extraction means is characterized in that the traveling data in which the amount of change in the azimuth angle in time before the vertex data is the smallest is specified as the start point of the road shape where the moving body changes the course. The travel data evaluation system according to any one of claims 3 to 5.   The extraction means is characterized in that the traveling data with the smallest amount of change in the azimuth after the apex data in time is specified as the end point of the road shape where the moving body changes the course. The travel data evaluation system according to any one of claims 3 to 6. The traveling data acquisition means acquires information on the turning direction of the road shape in which the moving body changes the course together with the traveling data,
4. The apparatus according to claim 3, wherein the extraction means specifies travel data having the largest change speed of the azimuth included in the travel data, which is the azimuth corresponding to the turning direction, as the vertex data. The driving data evaluation system described in 4. An information processing system for acquiring traveling data acquired by a measuring device attachable to a mobile body, comprising:
Travel data acquisition means for acquiring the travel data detected by the measurement device;
From the traveling data acquired by the traveling data acquisition means, the apex data corresponding to the apex of the road shape for which the moving body changes course is specified, and one or more traveling parts corresponding to the road shape are identified based on the apex data Extraction means for extraction;
Evaluation means for evaluating travel data for each of the traveling parts extracted by the extraction means;
An information processing system characterized by having. An information processing apparatus for acquiring travel data acquired by a measurement device attachable to a mobile object, and an information processing server for communicating via a network,
Travel data acquisition means for acquiring travel data detected by the measurement device acquired by the information processing device;
From the traveling data acquired by the traveling data acquisition means, the apex data corresponding to the apex of the road shape for which the moving body changes course is specified, and one or more traveling parts corresponding to the road shape are identified based on the apex data Extraction means for extraction;
Evaluation means for evaluating travel data for each of the traveling parts extracted by the extraction means;
An information processing server characterized by having:

Images