JP2004265002A - Vehicle statistical information production method, computer program, recording medium, computer and computer network system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To remove unnecessary information from data that are a target of a statistical process when producing a statistic on the basis of data collected from a plurality of vehicles. <P>SOLUTION: A computer collects vehicle information via a wireless network. The computer decides whether the vehicle information satisfies predetermined conditions or not, removes a part or all of the vehicle information satisfying the conditions, and produces statistical information about the plurality of vehicles on the basis of the vehicle information. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to processing of various data obtained from a running vehicle. In particular, the present invention relates to a technique for totalizing obtained data to generate statistical information and distributing the generated statistical information. In addition, the present invention relates to a technique for estimating the required travel time of a section on a road in real time and a technique for distributing the estimated required time.
[0002]
[Prior art]
Data obtained from vehicles actually traveling on a section of the road is aggregated to obtain a statistic, and based on this statistic, the time required for another vehicle to travel in the section is estimated, and the There are systems that provide the estimated time to the user.
[0003]
In this type of system, when a vehicle equipped with an in-vehicle device travels on a road section, the in-vehicle device acquires data such as a traveling speed using various sensors and transmits the data to a center via a wireless network. The center receives data from a plurality of vehicles equipped with in-vehicle devices, estimates the current required time for each road section based on the data, and provides the estimated time to the user terminal.
[0004]
As a related art similar to the present invention, Patent Document 1 discloses a system for distributing traffic jam information generated based on data obtained from a running vehicle to vehicles on a road. According to this system, the arrival and departure times at each stop are collected based on the opening and closing times of the bus doors and the playback time of the voice guidance, and the time for the traveling station between the stops is calculated at the center, and the section where traffic congestion occurs Is determined.
[0005]
[Patent Document 1]
JP-A-2002-367089 (paragraph 0020, FIG. 1)
[0006]
[Problems to be solved by the invention]
The data obtained from each vehicle includes data that is not suitable as a sample of the statistic to be obtained. For example, unnecessary data due to a detection error by GPS (Global Positioning System) or a communication error between the vehicle-mounted device and the center may be included. In the conventional system, there was no idea to remove such unnecessary data at a stage before the statistical processing. The process of removing data that is not appropriate as a sample of the statistic to be obtained at a stage before performing the statistical process is called a cleansing process.
[0007]
The data to be removed in the cleansing process includes, for example, unnecessary data resulting from a GPS detection error or a communication error between the vehicle-mounted device and the center.
[0008]
When the statistical processing is performed for each road link, sample data that does not constitute the entire road link or that includes data that is irrelevant to the road link of interest should be subjected to cleansing. is there. Examples of cases where such data is generated include a case where the vehicle is parked and stopped, a case where the vehicle is traveling in a U-turn or a loop on a road link, and a case where the vehicle is traveling on a narrow street without road link information.
[0009]
If statistical processing is performed while leaving such unnecessary data, the obtained statistics will be inaccurate.
[0010]
Further, in the system described in Patent Literature 1, the traffic jam information of a predetermined route is generated based on the required time of another bus that has recently passed that route. For this reason, it cannot be applied to a vehicle whose movement route is not specified, such as a taxi. Further, no processing equivalent to the cleansing processing is found.
[0011]
The present invention has been made in view of such circumstances, and a problem to be solved by the present invention is to generate a statistical value based on data collected from a plurality of vehicles. To provide a technique for removing unnecessary data.
[0012]
[Means for Solving the Problems]
In order to solve such a problem, the present invention provides the following vehicle statistical information generation method. That is, in a method of collecting, from a plurality of vehicles, vehicle information including position information indicating a current position of the vehicle and output information of a sensor that detects a state of the vehicle, and generating statistical information about the plurality of vehicles. A first step of collecting vehicle information in a computer via a wireless network, a second step of determining whether the vehicle information satisfies a predetermined condition by a computer, and a part or all of the vehicle information satisfying the condition. A method for generating vehicle statistical information, comprising: a step of removing by a computer; and a step of generating, by a computer, statistical information on a plurality of vehicles based on the vehicle information.
[0013]
In the step 4, a statistical value may be generated for each road link by referring to digital map information including a road link indicating a section between two predetermined points on the road.
[0014]
The conditions are determined based on the stop time of the vehicle, determined based on the length of time during which the acquisition of the position information has failed, the trajectory of the vehicle generated by the position information, and the road link. It may be determined based on the comparison result.
[0015]
It is also conceivable that the average speed of the vehicle for each road link is determined and the computer transmits the current estimated required time on the road link to a user terminal determined in advance.
[0016]
Further, the present invention collects, from a plurality of vehicles, position information indicating a current position of the vehicle, and vehicle information including output information of a sensor that detects a state of the vehicle, and collects statistical information regarding the plurality of vehicles. In a program for causing a computer to execute a process to generate, a process 1 for collecting vehicle information via a wireless network, a process 2 for determining whether the vehicle information satisfies a predetermined condition, A computer program is provided, comprising: a process 3 for removing a part or all of the vehicle; and a process 4 for generating statistical information on a plurality of vehicles based on the vehicle information.
[0017]
The processing 4 may refer to digital map information including a road link indicating a section between two predetermined points on the road, and generate a statistical value for each road link.
[0018]
The conditions are determined based on the stopping time of the vehicle, determined based on the length of time during which the acquisition of the position information has failed, and a comparison between the vehicle path generated by the position information and the road link. It may be determined based on the result.
[0019]
The computer may execute a process of calculating the average speed of the vehicle for each road link as the current estimated required time on the road link.
[0020]
Further, a process 5 for transmitting statistical information to a predetermined user terminal may be included.
[0021]
The user terminal may be mounted on a vehicle.
[0022]
The computer program may be provided as a computer stored in a recording medium or a computer including the recording medium and operating according to the computer program.
[0023]
Further, a plurality of vehicles including means for acquiring a current position of the vehicle, a sensor for detecting a state of the vehicle, and means for performing data communication via a wireless network, and means for performing data communication with the plurality of vehicles are provided. The present invention may be provided as a computer network system including the computer described above and a user terminal including a unit that communicates with the computer. In this case, the user terminal may be mounted on a vehicle.
[0024]
In the present invention, a device for measuring the current position of a vehicle such as a GPS (Global Positioning System) terminal and a sensor for monitoring a running condition of the vehicle and an operating condition of a door, a steering wheel, a brake and the like are attached to a plurality of vehicles. The measured values by these devices are collected by the on-board unit. The in-vehicle device transmits data acquired by the sensor to a predetermined center every predetermined time and each time a predetermined condition is satisfied. The center collects data from a plurality of vehicles, generates statistics, and transmits the statistics to a predetermined user terminal.
[0025]
In particular, referring to the digital map information prepared in advance, the required travel time of the road link by a plurality of vehicles in units of a road link which is a section defined by nodes on the road such as an intersection or a turning point of a U-shaped road. Find the average of If the average travel time is generated based on data obtained from the vehicle that has traveled on the road link in the immediately preceding past, the average travel time is required for the vehicle that is to travel on the road link. It can be regarded as an expected value of the wax running time. Based on such an average travel time required for each road link (expected travel time), it is possible to generate an estimated travel time required for the entire travel section (trip) including a plurality of road links. This estimated travel time is called a trip time.
[0026]
Incidentally, data actually obtained from each vehicle includes data that should not be referred to when generating the average travel time. In the present invention, one of the features is to perform processing for correcting such undesirable data and cleansing processing. The data to be corrected in the cleansing process includes, for example, data on road links for which data could not be obtained halfway due to radio interference, data on road links in which vehicles make U-turns or unnecessary loops, signals This is data relating to a road link where a vehicle has parked and stopped for a reason other than an inevitable stop when passing through the road link as if waiting. The cleansing process may be performed only on the center side, or may be partially performed on the vehicle side.
[0027]
The start point and the end point of the trip are determined based on the position information, the time, the vehicle speed, the ON / OFF of the parking brake, the output of a sensor for detecting the opening and closing of the door, and the like. In most cases, one trip per vehicle will provide data on multiple road links. This data is divided for each road link for which trip time information is to be provided, and statistical information is generated together with data on the road link obtained by tripping another vehicle. In addition, in order to determine the behavior of the vehicle, the output of a sensor that detects the blinking state of the turn signal lamp is referred to.
[0028]
Note that, in the present invention, a trip is a traveling section starting from a location where a driver is currently performing a predetermined task and having a destination as a location for performing a next task. Information indicating the end position, time, and the road link on which the vehicle has traveled. A temporary stop, such as a stop at a red light, is not considered to be the end of the trip.
[0029]
BEST MODE FOR CARRYING OUT THE INVENTION
A traffic information distribution system 1 according to an embodiment of the present invention will be described. Referring to FIG. 1, the traffic information distribution system 1 includes a plurality of vehicles 10a, 10b, and 10c (hereinafter, referred to as a vehicle 10 when it is not necessary to distinguish them), on-vehicle devices 20a, 20b mounted on each vehicle, 20c (hereinafter, referred to as on-vehicle device 20 when it is not necessary to distinguish between them), wireless network 30, center 40, server 50 installed in center 40, network 60, and user terminal 70. In this embodiment, three vehicles 10, three servers 50, and one user terminal are described. However, this is merely an example, and the present invention is limited to this. Not something.
[0030]
The vehicle 10 is various kinds of automobiles. The vehicle 10 includes various sensors for detecting a traveling state. The measurement target of the sensor is, for example, a measurement value of various measuring instruments such as a vehicle speedometer, a lighting state of a turn signal lamp, an opening / closing state of a door, a lighting state of a hazard lamp, depression of an accelerator pedal, a brake pedal, a clutch pedal, and the like. There are states etc. In particular, in the case of a taxi, it may include a fee measured by a taxi meter.
[0031]
The on-vehicle device 20 is a device having an information processing device mounted on the vehicle 10 as a core. The on-vehicle device 20 is connected to the various sensors described above, and collects sensor information output from these sensors. The in-vehicle device 20 includes a device that measures the current position of the vehicle 10, such as a GPS (Global Positioning System) terminal. The positioning device may use means other than GPS, for example, an accelerometer. Further, the vehicle-mounted device 20 includes a wireless communication device for performing data communication via the wireless network 30. The wireless communication device adds the time at which the information was obtained and the ID information for specifying the vehicle 10 in the traffic information distribution system 1 to the above-described sensor information and position information, and sends the vehicle information to the center via the wireless network 30. The data is transmitted to the server 50 installed in the server 40.
[0032]
The server 50 is disposed inside the center 40, which is a core building of the traffic information distribution system 1, and is used by the operator of the traffic information distribution system 1, and is an information processing device such as a workstation server. It is. The server 50 includes both a network device connected to the wireless network 30 and a network device connected to the network 60. The server 50 receives the vehicle information from the in-vehicle devices 20a, 20b, and 20c via the wireless network 30. Further, it generates trip time information based on the received vehicle information and provides the user terminal 70 with the trip time information on the network 60. The trip time information is the required travel time for each road link, and is a prediction of the time required to pass the road link from the time required for a plurality of vehicles to actually pass the road link. .
[0033]
The user terminal 70 is an information processing device such as a personal computer, and includes a network device for performing data communication via the network 60. The user terminal 70 accesses the server 50 via the network 60, accesses the trip time information, displays it on the screen, and displays it to the user of the user terminal 70.
[0034]
The outline of the operation of the traffic information distribution system 1 is as follows.
[0035]
First, in each of the vehicles 10a, 10b, and 10c, the in-vehicle device 20 generates vehicle information based on the sensor information, position information, information acquisition time, and ID information of the vehicle 10 on which the vehicle 10 is mounted. Via the server 50. The position information is generated at regular intervals. The position information is also generated when various sensors included in the vehicle 10 detect occurrence of a predetermined event (trip start, trip end, parking brake ON / OFF, blinker blinking).
[0036]
Upon receiving the vehicle information from the vehicles 10a, 10b, and 10c, the server 50 generates trip time information based on the vehicle information. Here, the vehicle information includes both data generated when the vehicle travels from one end to the other end of a certain road link during normal traveling, that is, both data suitable for generating trip time information and data not suitable. Therefore, the server 50 performs cleansing processing for removing inappropriate data when generating trip time information.
[0037]
As an object to be removed by the cleansing process, a defect that cannot be complemented by the position information due to a GPS detection abnormality continuing for a predetermined time (for example, 5 minutes) or more or a communication failure continuing for a certain time (for example, 30 seconds). Data that can be seen, data when the vehicle did not pass through the entire road link because the vehicle made a U-turn or loop in the middle of the road link. There are data when the vehicle has been stopped for a predetermined time (time required for waiting for a traffic light or the like) or more, and data for which there is no road link to be referred to in the digital map information.
[0038]
The determination of the end of the trip will be described with reference to FIG. When the vehicle stops on the way after starting the trip (step A1), the stop time is measured and compared with a preset threshold value (step A2). When the stop time is equal to or longer than the set time, for example, the time when the traveling speed is equal to or less than 3 km / h is equal to or less than 3 seconds, it is determined that the vehicle is not stopped (step A3). If the stop time is longer than the set time, for example, the time when the traveling speed is 3 km / h or less is longer than 3 seconds, it is determined that the vehicle has stopped (step A4).
[0039]
Normally, the trip of the last road link in the trip ends in the middle of the road link. For this reason, the data relating to the last road link is cleansed as unnecessary data that is not suitable as a basis for calculating the trip time of the road link.
[0040]
An example of a trip end determination will be described with reference to FIG. The vehicle starts a trip at time T1, and stops from time T2 to time T3. Since the time T3-T2 at this time is shorter than the set time, it is determined that the trip is continued. Subsequently, after traveling from time T3 to T4, the vehicle stopped from time T4 to time T5. Since the time T5 to T4 at this time is longer than the set time, it is determined that the trip has ended. After it is determined that the trip is between the time T1 and the time T5, the cleansing process is performed on the determined trip. In this example, cleansing is performed on unnecessary road data for the road link where the trip has occurred.
[0041]
Next, a cleansing process of a trip including a U-turn and a locus to loop will be described with reference to FIG. After the vehicle starts the trip (step B1), the trajectory of the position information by GPS is compared with the digital map information and confirmed (step B2). If the vehicle is traveling straight along the road link in the digital road map, it is determined that the vehicle is normal (step B3).
[0042]
If the vehicle makes a U-turn halfway, it means that the vehicle has not traveled to the end of the U-turned road link. Therefore, the vehicle information of this vehicle on this road link cannot be used for calculating the trip time. The trip ends at the immediately preceding road link, and vehicle information on the last road link is subject to cleansing (steps B4 and B5).
[0043]
Also, when a loop is made in the middle of a road link, it takes longer than the original trip time due to the loop. Therefore, as shown in FIG. 5, the vehicle information about the road link where the locus makes a U-turn or draws a loop is judged as unnecessary data (step B4) and cleansing is performed (step B5).
[0044]
Whether or not the vehicle makes a U-turn is determined as follows based on temporally continuous position information.
[0045]
When it is found that there is a possibility that a U-turn has been made at a certain position in the trajectory of the vehicle based on the position information of the vehicle and various sensor outputs, attention is paid to the position information A of the point considered to be a turning point. Next, attention is paid to the position information B at the closest time, which is the position information of the vehicle before the predetermined time based on the time when the vehicle has passed this point. Similarly, focus is on the position information C at the closest time, which is the position information of the vehicle after a predetermined time based on the time when the vehicle has passed this point. The predetermined time is, for example, 30 seconds. Consider a side AB composed of position information A and B and a side AC composed of position information A and C, and calculate an angle formed by these two sides.
[0046]
In addition, a road link L through which a trajectory including position information of several times (for example, five times before) immediately before the position information A passes. ₁ And a road link L through which a trajectory consisting of several times (for example, five times before) position information immediately after the position information A passes. ₂ Compare with
[0047]
The angle between the side AB and the side AC is 10 degrees or less, and the road link L ₁ And L ₂ Is a road link that corresponds to oncoming lanes of the same road, it is determined that the vehicle has made a U-turn at the position of the position information A.
[0048]
Referring to the example of FIG. ₁ And P ₂ After passing through the point P ₃ Start back at point P ₄ Through point P ₅ Start moving forward again and turn right to point P ₆ And return to the opposite direction. Point P ₁ And point P ₆ At the point P ₃ It is assumed that the time is at least 30 seconds away from the time. Point P ₂ And point P ₅ Point P ₃ Within 30 seconds from the time.
[0049]
Point P ₃ And P ₅ Can be determined, for example, from the output of a sensor that detects the state of the shift lever. Point P ₃ It is checked whether or not it is a U-turn because the vehicle is moving backward. Point P ₃ Point P which is more than 30 seconds away from ₁ And point P ₆ It is. Side P ₃ P ₁ And side P ₃ P ₆ It can be seen that the angle consisting of is small. Also, the side P ₃ P ₁ And side P ₃ P ₆ It can be determined from the comparison with the digital map information that the road links that include "?"
[0050]
In the example of FIG. 7, the road itself draws a U-shape. The determination of the presence or absence of a U-turn on such a road will be described. Point Q ₁ Through point Q ₂ Make a U-turn at the point Q through the opposite lane ₃ Trajectory and point Q ₁ , Point Q ₂ Through point Q ₄ Is the point Q which is the turning point ₂ It can be conceived that it is not possible to determine whether the vehicle has made a U-turn or has run along a road only from the angle formed by the points immediately before and after. Even in this case, on a road having such a turn, it is possible to determine whether or not the turn is a U-turn based on a difference between road links before and after the turn.
[0051]
Whether or not the vehicle has looped is determined as follows from temporally continuous position information. When the blinking of the left or right turn signal is detected by a sensor in a vehicle traveling on a certain road link, output information of the sensor and position information at that time are detected. After a lapse of a predetermined time (for example, 10 seconds or more), the blinker blinks in the same direction as the first blinker again in the vicinity of the position information of the place where blinker blink was detected (for example, within a radius of 30 m from the point where blinker blink was first detected). When the information and its position information are detected, it is determined that the vehicle has looped around a roundabout, enters a narrow street to which no road link is assigned, and returns. The trajectory when parking on the road is also determined in the same manner as the loop. Instead of or in combination with the blinking of the turn signal, it may be detected that the steering wheel has been continuously steered in the same direction for a certain period of time.
[0052]
In some cases, the digital map information contains only road links of major roads and does not contain narrow street road links. In this case, among the above-mentioned processes, those that refer to a road link cannot be executed for a trajectory that passes through a narrow street, so that the trip time cannot be calculated. In addition, it is less necessary to calculate the required time on narrow streets than on main roads. Here, if the vehicle is traveling only on a narrow street, or if the vehicle is running on a narrow street partially on the way, in order to cleanse the trajectory of the narrow street, A method for identifying the trajectory of the image will be described.
[0053]
This will be described with reference to FIG. Points C1 and C2 indicate vehicle positions, respectively, and straight lines C3 and C4 indicate road links, respectively. The broken line indicates a preset distance (for example, 100 m). When the vehicle is located at the point C1, the road links C3 and C4 are both closer than the set distance. In this case, the collation is performed for the closer road link C3. On the other hand, when the vehicle is located at the point C2, both road links are farther than the set distance. In this case, the point C2 is not compared with the road link, but is determined as the position information of the vehicle running on the narrow street, and is set as a cleansing target.
[0054]
As described above, the present invention has been described based on the embodiments, but the present invention is not limited thereto, and it is needless to say that changes and improvements can be made within the ordinary knowledge of those skilled in the art. .
[0055]
In the traffic information distribution system 1 described above, the trip information generated based on the data collected from the vehicle is distributed to the user terminal 70 connected to the network 60, but the present invention is not limited to this. . For example, in the traffic information distribution system 2 shown in FIG. 9, there are user terminals 70d, 70e, and 70f corresponding to the user terminals 70 in the traffic information distribution system 1, but in addition to these, the user terminals 70a, 10b, and 10c 70a, 70b and 70c are mounted. The user terminals 70a, 70b, and 70c are connected to the server 50 via the wireless network 30 and the network 60, and can receive trip time information. Accordingly, each vehicle provides the server 50 with data necessary for generating trip time information on the road link immediately after the current vehicle has traveled, and at the same time, provides the server 50 with the trip time information on the road link on which the own vehicle travels. Will be provided.
[0056]
【The invention's effect】
A first effect of the present invention is that a trip time can be calculated more accurately by detecting the end of a trip from a trajectory of a vehicle and subjecting the vehicle information on the last road link of the trip to a cleansing process. In general, vehicle information for the last road link of a trip has a form in which traveling of the vehicle ends halfway along the road link. For this reason, the vehicle information on the last road link is not appropriate as a basis for calculating a statistical value in units of road links. According to the present invention, inappropriate data as a basis for calculating such a statistical value for each road link is removed at a stage before the statistical processing, so that the accuracy of the statistical value can be improved.
[0057]
The second effect of the present invention is that not only a relatively distinct start / end portion such as parking of a vehicle, but also a U-turn or a traveling trajectory that loops is determined as an end, and the end is determined. Since the data obtained for the included road links is subjected to cleansing, it is possible to remove inappropriate data before executing the statistical processing.
[0058]
When the vehicle makes a U-turn in the middle of the road link, the vehicle does not travel to the end of the road link. For this reason, it is inappropriate as a basis for calculating a statistical value for each road link. In addition, if the travel path draws a loop, such as stopping at a roundabout in the middle of a road link, extra time is required for the trip time of the road link because the loop travel path is drawn. This is inappropriate as a basis for calculating a statistical value for each road link. Since such inappropriate data is removed before the statistical processing, the accuracy of the statistical value can be improved.
[0059]
A third effect of the present invention is that when digital map information includes only road links of major roads and does not include road links of narrow streets, vehicle information on narrow streets is targeted for cleansing. Thus, the influence of the vehicle information due to traveling on the narrow street can be removed from the statistical value on the main road, so that the accuracy of the statistical value is improved.
[0060]
When referring to digital map information with a small amount of information that does not include narrow street information, for position information that is more than a preset distance away from the road link, it is determined that the vehicle is running on a narrow street, and the target of cleansing is determined. I do. This can improve the accuracy of the statistics.
[Brief description of the drawings]
FIG. 1 is a functional block diagram of a traffic information distribution system 1 according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a cleansing process in the traffic information distribution system 1.
FIG. 3 is a graph illustrating a cleansing process on a road link on which a trip has been completed.
FIG. 4 is a flowchart for explaining a cleansing process for deleting unnecessary data generated by a U-turn or a loop in a traveling locus.
FIG. 5 is a diagram for explaining unnecessary data generated by a loop.
FIG. 6 is a diagram for explaining a cleansing process on a locus of a vehicle including a U-turn.
FIG. 7 is a diagram for describing a cleansing process on a trajectory of a vehicle including a U-turn.
FIG. 8 is a diagram for explaining a cleansing process for a traveling locus of a narrow street where a road link is not included in the digital map information.
FIG. 9 is a functional block diagram of a traffic information distribution system 2 according to an embodiment of the present invention.
[Explanation of symbols]
10a, 10b, 10c vehicle
20a, 20b, 20c In-vehicle device
30 wireless network
40 center
50 servers
60 Network
70, 70a, 70b, 70c, 70d, 70e, 70f User terminal

Claims (18)

From a plurality of vehicles, position information indicating the current position of the vehicle, and collecting vehicle information consisting of output information of a sensor that detects the state of the vehicle, in a method of generating statistical information about the plurality of vehicles,
Collecting vehicle information into a computer via a wireless network;
A second step in which the computer determines whether the vehicle information satisfies a predetermined condition;
A step 3 of removing a part or all of the vehicle information satisfying the condition by a computer;
Generating statistical information on a plurality of vehicles by a computer based on the vehicle information. The method of claim 1, wherein step 4 comprises:
With reference to digital map information including a road link indicating a section between two predetermined points on the road,
A method for generating vehicle statistical information, wherein a statistical value is generated for each road link. The vehicle statistical information generating method according to claim 1, wherein the condition is determined based on a stop time of the vehicle. 2. The vehicle statistical information generating method according to claim 1, wherein the condition is determined based on a length of time during which acquisition of position information has failed. 2. The vehicle statistical information generating method according to claim 1, wherein the condition is determined based on a comparison result between a vehicle path generated by position information and a road link. An average speed of a vehicle for each road link is obtained by using the vehicle statistical information generation method according to claim 2, and the computer transmits the average estimated required time on the road link to a user terminal determined in advance. Vehicle statistics information provision method. The computer collects, from a plurality of vehicles, position information indicating a current position of the vehicle and vehicle information including output information of a sensor for detecting a state of the vehicle, and generates statistical information on the plurality of vehicles by a computer. In the program to be executed by
A process 1 for collecting vehicle information via a wireless network;
Processing 2 for determining whether or not the vehicle information satisfies a predetermined condition;
A process 3 for removing a part or all of the vehicle information satisfying the condition;
A processing 4 for generating statistical information on a plurality of vehicles based on the vehicle information. In the computer program according to claim 7, the processing 4 includes:
With reference to digital map information including a road link indicating a section between two predetermined points on the road,
A computer program for generating a statistical value for each road link. 8. The computer program according to claim 7, wherein the condition is determined based on a stop time of the vehicle. 8. The computer program according to claim 7, wherein the condition is determined based on a length of time during which acquisition of position information has failed. The computer program according to claim 7, wherein the condition is determined based on a comparison result between a trajectory of a vehicle generated based on position information and a road link. 8. The computer program according to claim 7, wherein the computer program causes a computer to execute a process of calculating an average speed of a vehicle for each road link as a current estimated required time on the road link. 8. The computer program according to claim 7, further comprising a process 5 of transmitting statistical information to a predetermined user terminal. 14. The computer program according to claim 13, wherein the user terminal is mounted on a vehicle. A recording medium on which the computer program according to claim 8 is recorded. A computer comprising the recording medium according to claim 15 and operating according to the computer program. Means for obtaining the current position of the vehicle, a sensor for detecting the state of the vehicle, and a plurality of vehicles including means for performing data communication via a wireless network,
The computer of claim 16, comprising means for communicating data with the plurality of vehicles.
A computer network system comprising: a user terminal including a unit that communicates with the computer. 18. The computer network system according to claim 17, wherein said user terminal is mounted on a vehicle.

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