JP5845537B2 - JAM JUDGING DEVICE, COMPUTER PROGRAM, AND JAM JUDGING METHOD - Google Patents

Description

  The present invention relates to a traffic jam judging device for judging a traffic jam on a road, a computer program and a traffic jam judging method for realizing the traffic jam judging device.

  In order to realize safe driving support such as smooth traffic control, a technology for providing traffic information such as presence / absence of traffic jam, traffic jam length, signal waiting time at traffic jam has been developed. For example, vehicle information including information on the position and time of the vehicle is collected, and when the vehicle speed obtained from the vehicle information is slow, that is, when there is a traffic jam, the traffic information calculation unit (time) for calculating the traffic jam information of the vehicle is set short, A traffic information generation system that generates traffic information in an optimal calculation unit according to the vehicle speed by setting a long traffic information calculation unit (time) when the vehicle speed is high, that is, when it is quiet is disclosed (Patent Document 1). reference).

Japanese Patent Laying-Open No. 2005-301643

  In the traffic information generation system of Patent Document 1, the length of the traffic information calculation unit (time) is set according to the vehicle speed, the average speed in the set traffic information calculation unit (time) is obtained, and the degree of traffic congestion is determined according to the average speed. Is calculated. However, since the set time includes not only the time during which the vehicle is traveling but also the time during which the vehicle is stopped, the average speed of the vehicle cannot be obtained accurately. For this reason, the traffic jam cannot be accurately determined.

  The present invention has been made in view of such circumstances, and it is an object of the present invention to provide a traffic jam determination device that can accurately determine traffic jam, a computer program for realizing the traffic jam determination device, and a traffic jam determination method. And

The traffic jam judging device according to the first invention is an traffic jam judging device for judging traffic jam on a road, an acquisition means for acquiring travel information including a position of a vehicle traveling on the road and a time passing through the position, and the acquisition means. Based on the acquired travel information, a travel trajectory specifying means for specifying the travel trajectory of the vehicle, and based on the travel information, a stop position of the vehicle on the travel trajectory specified by the travel trajectory specifying means is specified. Stop position specifying means; and speed calculation means for calculating the speed of the vehicle in a target section which is a section between adjacent stop positions on the travel locus specified by the travel locus specifying means based on the travel information; based on the calculated velocity and a predetermined velocity threshold value in the speed calculation means, comprise a determination means for determining whether congestion in the target section on the travel locus specified in the traveling locus specific means And features.

  According to a second aspect of the present invention, there is provided a traffic jam judging device according to the first invention, further comprising section distance calculating means for calculating the distance of the target section, wherein the determining means has a predetermined first threshold value calculated by the section distance calculating means. In the case of being larger, the target section is configured to be determined as a traffic jam section.

  In a traffic jam determination device according to a third invention, in the second invention, when the distance calculated by the section distance calculation means is smaller than a second threshold greater than the first threshold, the target section is determined as a traffic jam section. It is characterized by being comprised so that it may determine.

  According to a fourth aspect of the present invention, in the traffic determination apparatus according to the second or third aspect, when the distance of the target section is smaller than the first threshold, there is a traffic congestion section adjacent to the target section. The target section is configured to be determined as a traffic jam section.

  A traffic jam judging device according to a fifth invention is the traffic jam tail judgment in any one of the second to fourth inventions, in which when there are a plurality of adjacent traffic jam sections, the upstream end of the most upstream traffic jam section is determined as the traffic jam end. Means are provided.

  The traffic jam determination device according to a sixth aspect of the present invention is the traffic jam judgment according to any one of the second to fifth inventions, wherein when there are a plurality of adjacent traffic jam sections, the downstream end of the most downstream traffic jam section is determined as the traffic jam head. Means are provided.

  In any one of the second to fifth inventions, the traffic jam judging device according to the seventh invention, when there are a plurality of adjacent traffic jam sections, from the downstream end of the most downstream traffic jam section to the downstream side closest to the downstream end. An intersection distance calculation unit that calculates a distance to an intersection, and a traffic jam head determination unit that determines that the intersection is a traffic jam head when the distance calculated by the intersection distance calculation unit is smaller than a predetermined distance threshold. To do.

  In any one of the second to fifth inventions, the traffic jam judging device according to the eighth invention, when there are a plurality of adjacent traffic jam sections, from the downstream end of the most downstream traffic jam section to the downstream side closest to the downstream end. Intersection distance calculating means for calculating the distance to the intersection, and when the distance calculated by the intersection distance calculating means is larger than a predetermined distance threshold, the traffic jam head determining means for determining the traffic station closest to the upstream upstream as the traffic jam head It is characterized by providing.

A computer program according to a ninth invention is a computer program for causing a computer to determine a traffic jam on the road, based on traveling information including a position of a vehicle traveling on the road and a time passing through the position. A travel locus identifying means for identifying a travel locus of the vehicle; a stop position identifying means for identifying a stop position of the vehicle on the identified travel locus based on the travel information; and a specification based on the travel information. Speed calculation means for calculating the speed of the vehicle in a target section that is a section between adjacent stop positions on the travel locus, and the target section on the specified travel locus based on the calculated speed and a predetermined speed threshold value characterized in that to function as a judging means for judging whether the traffic jam on.

According to a tenth aspect of the present invention, there is provided a traffic jam judging method according to the traffic jam judgment device according to the traffic jam judging device for judging the traffic jam on the road, wherein the obtaining means obtains travel information including the position of the vehicle traveling on the road and the time passing through the position. If, based on the acquired traveling information, the steps of the traveling locus specifying means traveling locus of the vehicle to identify, based on the travel information, the stop position of the stop position of the vehicle on a specified traveling locus A step of specifying by the specifying means, a step of calculating a speed of the vehicle in a target section which is a section between adjacent stop positions on the specified travel locus, based on the travel information, and a calculation And a step of determining means for determining the presence or absence of traffic congestion in the target section on the specified travel locus based on the determined speed and a predetermined speed threshold value.

  In the first invention, the ninth invention, and the tenth invention, travel information including the position of the vehicle traveling on the road and the time passing through the position is acquired. The travel information is, for example, accumulated information such as the position of the vehicle and the time at the position at a predetermined cycle (for example, 0.1 second to 10 seconds) with a device (for example, an in-vehicle device) mounted on the vehicle. Is. Such traveling information is also referred to as probe information, probe car data, and floating car data. The travel information may be acquired from the in-vehicle device through, for example, a mobile phone network, or local communication that can communicate with the in-vehicle device such as an optical beacon, a radio beacon, or a DSRC (Dedicated Short Range Communication). A plurality of devices may be installed and acquired through a local communication device.

  Based on the acquired travel information, a travel locus of the vehicle is identified, and a stop position of the vehicle on the identified travel locus is identified. When the position of the vehicle is the same for a predetermined time (for example, 1 second to several seconds), it can be determined that the vehicle is stopped, and the stop position is specified as the stop position. A section between adjacent stop positions on the travel locus is set as a target section, and the speed of the vehicle in the target section is calculated. The target section is a section between adjacent stop positions. As the vehicle speed, various values such as an average speed, a maximum speed, an intermediate value between the maximum speed and the minimum speed, and a value obtained by multiplying the maximum speed by a predetermined ratio (for example, 75%) can be adopted.

  Then, based on the calculated speed and a predetermined speed threshold, it is determined whether or not there is a traffic jam on the travel locus. For example, when the speed (for example, average speed) of the vehicle in the target section is smaller than a predetermined speed threshold, it is determined that there is a traffic jam and the target section is determined as a traffic jam section. In the target section, since the vehicle is traveling at some speed without stopping, the speed of the vehicle is not apparently reduced, it is possible to accurately determine the presence or absence of traffic congestion, It is possible to accurately determine whether or not there is traffic.

  In the second invention, the distance of the target section is calculated, and when the calculated distance is larger than the predetermined first threshold, the target section is determined as a traffic jam section. The first threshold is a value of about 10 m to 50 m, for example. When the distance of the target section from the position where the vehicle stops to the next stop position is smaller than the first threshold, the speed of the vehicle in the target section (for example, average speed, maximum speed) is relatively slow, It is not possible to determine whether it is a stop due to traffic jam or a stop due to a traffic light. Therefore, when the calculated distance is smaller than the predetermined first threshold, the target section is not determined as the traffic jam section, and when the calculated distance is larger than the predetermined first threshold, the target section is determined as the traffic jam section. As a result, it is possible to further increase the accuracy of determining a traffic jam.

  In the third invention, when the calculated distance is smaller than the second threshold value which is larger than the first threshold value, the target section is determined as a traffic jam section. The second threshold is, for example, a value equal to or greater than the vehicle head interval (vehicle length) corresponding to the number of vehicles that can pass through the intersection with one green light (for example, 60 seconds, 100 seconds, 120 seconds, etc.). For example, when the green signal time is 60 seconds, the number of vehicles that can pass through the intersection during the 60 seconds is 30 if one vehicle can pass in 2 seconds. Assuming that the vehicle head interval per vehicle is 7 m, the vehicle head interval that can pass during the green light is 210 m (= 30 × 7). The second threshold value can be a value such as 400 m, 500 m, and 600 m, for example.

  The target section is a section from a position where the vehicle stops (for example, stops at a red signal) to a position where the vehicle stops next (stops at the next red signal). When the stop of the vehicle is due to waiting for a signal, the number of queues that can be made in one cycle (the number of vehicles that can pass through the intersection) × the vehicle head interval (vehicle length) is considered to be the upper limit of the distance of the target section. The second threshold is a value obtained by adding a margin to the upper limit. Therefore, when the calculated distance is smaller than the second threshold, it can be considered that the traffic is a traffic jam, and the target zone is determined as a traffic jam zone. On the other hand, when the signal does not wait at the intersection, or when the signal does not wait continuously at the adjacent intersection, the vehicle can continue running without stopping, so the distance of the target section becomes longer. That is, when the calculated distance is larger than the second threshold value, it is considered that there is no traffic jam, so it can be determined that the target zone is not a traffic jam zone. Thereby, it is possible to determine the traffic jam with higher accuracy.

  In the fourth invention, when the distance of the target section is smaller than the first threshold and there is a traffic jam section adjacent to the target section, the target section is determined as a traffic jam section. The first threshold is a threshold for determining whether it is difficult to determine whether the target section is a traffic jam section. When the distance of the target section is greater than the first threshold, the target section is It can be determined as a traffic jam section. However, even when the distance of the target section is smaller than the first threshold, when the section adjacent to the target section (for example, at least one of the upstream section or the downstream section) is a traffic jam section, There is a high possibility that the target section is a traffic jam section. Therefore, when the distance of the target section is smaller than the first threshold and there is a traffic jam section adjacent to the target section, the target section is determined as a traffic jam section. Thereby, it is possible to more accurately determine the traffic jam section.

  In the fifth invention, when there are a plurality of adjacent traffic jam sections, the upstream end of the most upstream traffic jam section is determined as the traffic jam tail. Thereby, the traffic jam tail position can be obtained with high accuracy.

  In the sixth invention, when there are a plurality of adjacent traffic jam sections, the downstream end of the most downstream traffic jam section is determined as the traffic jam head. Thereby, the traffic jam head position can be obtained with high accuracy.

  In the seventh invention, when there are a plurality of adjacent traffic congestion sections, the distance from the downstream end of the most downstream traffic congestion section to the closest intersection on the downstream side of the downstream end is calculated, and the calculated distance is a predetermined distance threshold value. If it is smaller, the intersection is determined as the traffic jam head. The distance threshold can be a distance corresponding to the number of signal queues, for example. When the vehicle stops while waiting for a signal, it does not necessarily stop at the stop line at the intersection, and when there is another stop vehicle in front of the vehicle, it may stop at a point upstream from the intersection. Therefore, if the distance from the downstream end (stop position) to the closest intersection on the downstream side is smaller than the distance threshold, it is considered that the stop is waiting for a signal at the intersection, so the traffic at the closest intersection on the downstream side is congested. Judged to be the beginning. As a result, it is possible to specify a so-called bottleneck intersection that frequently has a traffic jam head position and requires countermeasures or improvement for traffic jams.

  In the eighth invention, when there are a plurality of adjacent traffic jam sections, the distance from the downstream end of the most downstream traffic jam section to the closest intersection on the downstream side of the downstream end is calculated, and the calculated distance is a predetermined distance threshold value. If it is larger, the intersection nearest to the upstream side of the downstream end is determined as the traffic jam head. The distance threshold can be a distance corresponding to the number of signal queues, for example. When the distance from the downstream end (stop position) to the closest intersection on the downstream side is larger than the distance threshold, it is not a stop by waiting for a signal at the intersection, but other factors (for example, to avoid parked vehicles or stopped vehicles, When the vehicle stops temporarily and waits for the oncoming vehicle to pass), it is determined that the intersection nearest to the upstream side of the downstream end is the head of the traffic jam. As a result, it is possible to specify a so-called bottleneck intersection that frequently has a traffic jam head position and requires countermeasures or improvement for traffic jams.

  According to the present invention, it is possible to accurately determine the presence or absence of a traffic jam.

It is a block diagram which shows an example of a structure of the traffic congestion determination apparatus of this Embodiment. It is explanatory drawing which shows an example of an object area. It is explanatory drawing which shows an example of the traffic congestion determination method based on the average speed of the vehicle by the traffic congestion determination apparatus of this Embodiment. It is explanatory drawing which shows the 1st example which determines the traffic congestion of a target area using the adjacent traffic congestion area by the traffic congestion determination apparatus of this Embodiment. It is explanatory drawing which shows the 2nd example which determines the traffic congestion of a target area using the adjacent traffic congestion area by the traffic congestion determination apparatus of this Embodiment. It is explanatory drawing which shows an example of the determination method of the traffic jam end and traffic jam head by the traffic jam determination apparatus of this Embodiment. It is explanatory drawing which shows an example of the traffic congestion determination method based on the maximum speed of the vehicle by the traffic congestion determination apparatus of this Embodiment. It is a flowchart which shows the process sequence of the traffic congestion determination by the traffic congestion determination apparatus of this Embodiment.

  Hereinafter, the present invention will be described with reference to the drawings showing an embodiment of a traffic jam determination device according to the present invention. FIG. 1 is a block diagram illustrating an example of the configuration of a traffic jam determination device 100 according to the present embodiment. The traffic jam determination device 100 can be configured as a server installed in a traffic control center, for example. As shown in FIG. 1, the congestion determination device 100 includes a control unit 10 that controls the entire device, an interface unit 11, a travel locus specifying unit 12, a stop position specifying unit 13, a section distance calculating unit 14, a storage unit 15, and a speed calculation. A unit 16, a traffic jam determination unit 17, an intersection distance calculation unit 18, a traffic jam end / head determination unit 19, and the like.

  The interface unit 11 has a function as an acquisition unit that acquires travel information including a position of a vehicle traveling on a road and a time passing through the position. The travel information is, for example, accumulated information such as the position of the vehicle and the time at the position at a predetermined cycle (for example, 0.1 second to 10 seconds) with a device (for example, an in-vehicle device) mounted on the vehicle. Is. Such traveling information is also referred to as probe information, probe car data, and floating car data.

  For example, the interface unit 11 may acquire travel information from an in-vehicle device through a mobile phone network, or communicate with an in-vehicle device such as an optical beacon, a radio beacon, or a DSRC (Dedicated Short Range Communication). Travel information may be acquired from a possible local communication device. The interface unit 11 stores the acquired travel information in the storage unit 15.

  The travel trajectory specifying unit 12 has a function as a travel trajectory specifying unit for specifying the travel trajectory of the vehicle, and plots the travel trajectory of the vehicle (time and vehicle position based on the travel information acquired by the interface unit 11. Specify the travel trajectory. When specifying the travel locus, for example, the travel locus can be specified on the road map with reference to the road map information stored in the storage unit 15.

  The stop position specifying unit 13 has a function as stop position specifying means for specifying the stop position of the vehicle on the travel locus. The stop position specifying unit 13 specifies the stop position of the vehicle on the specified travel locus based on the travel information acquired by the interface unit 11. For example, when the position of the vehicle is the same for a predetermined time (for example, 1 second to several seconds), the stop position can be determined to be stopped, and the stop position is specified as the stop position. be able to.

  The section distance calculation unit 14 has a function as section distance calculation means for calculating the distance of the target section between adjacent stop positions on the travel locus. The target section is a section between adjacent stop positions.

  The memory | storage part 15 memorize | stores the road map information of the road network containing the road which determines traffic congestion. The road map information includes information such as the position of the intersection where the roads intersect and the distance between the intersections.

  The speed calculation unit 16 has a function as speed calculation means for calculating the speed of the vehicle in the target section. As the vehicle speed, various values such as an average speed, a maximum speed, an intermediate value between the maximum speed and the minimum speed, and a value obtained by multiplying the maximum speed by a predetermined ratio (for example, a ratio such as 75%) may be adopted. it can.

  The traffic jam judgment unit 17 has a function as a judgment means for judging the presence or absence of traffic jam on the travel locus. Based on the speed calculated by the speed calculation unit 16 and a predetermined speed threshold value, the traffic jam determination unit 17 determines whether there is traffic jam on the travel locus. For example, when the speed (for example, average speed) of the vehicle in the target section is smaller than a predetermined speed threshold, it is determined that there is a traffic jam and the target section is determined as a traffic jam section. In the target section, since the vehicle is traveling at some speed without stopping, the speed of the vehicle is not apparently reduced, it is possible to accurately determine the presence or absence of traffic congestion, It is possible to accurately determine whether or not there is traffic.

  The intersection distance calculation unit 18 has a function as an intersection distance calculation unit that calculates the distance from the downstream end of the most downstream congestion section to the nearest intersection on the downstream side of the downstream end when there are a plurality of adjacent congestion sections.

  The traffic jam end / head determination unit 19 has a function as a traffic jam end determination unit that determines the upstream end of the most upstream traffic jam section as the traffic jam end when there are a plurality of adjacent traffic jam sections.

  The traffic jam end / head determination unit 19 has a function as a traffic jam head determination unit that determines the downstream end of the most downstream traffic jam section as the traffic jam head when there are a plurality of adjacent traffic jam sections.

  Further, when there are a plurality of adjacent traffic jam sections, the traffic jam end / head determination unit 19 has a distance from the downstream end of the most downstream traffic jam section to the closest intersection on the downstream side of the downstream end is smaller than a predetermined distance threshold. It has a function as a traffic jam head judging means for judging the intersection as the traffic jam head.

  Further, when there are a plurality of adjacent traffic jam sections, the traffic jam end / head determination unit 19 has a distance from the downstream end of the most downstream traffic jam section to the closest intersection on the downstream side of the downstream end is greater than a predetermined distance threshold. The intersection closest to the upstream side of the downstream end is determined as the traffic jam head.

  FIG. 2 is an explanatory diagram showing an example of the target section. In FIG. 2, the horizontal axis indicates the distance along the traveling locus of the vehicle, and the vertical axis indicates the speed of the vehicle. The speed of the vehicle can be obtained, for example, by dividing the distance between the positions p1 and p2 of adjacent vehicles on the travel locus by the time difference at the positions p1 and p2. In FIG. 2, the vehicle travels from the upstream side to the downstream side of the horizontal axis.

  As shown in FIG. 2, if the stop positions at which the vehicle speed is 0 are A, B, and C on the travel locus, the target section is a section from the stop position of the vehicle to the next stop position. Therefore, positions A to B and positions B to C are target sections.

  Next, a method for determining whether or not there is a traffic jam by the traffic jam judging device 100 according to the present embodiment and a method for judging whether or not the target zone is a traffic jam zone will be described.

  FIG. 3 is an explanatory diagram illustrating an example of a traffic jam determination method based on the average vehicle speed by the traffic jam determination device 100 of the present embodiment. FIG. 3A illustrates the same target section as in FIG. That is, it is assumed that the vehicle stops at positions A1, A2, A3, A4, and A5. The target section D1 is a section between positions A1 and A2, the target section D2 is a section between positions A2 and A3, the target section D3 is a section between positions A3 and A4, and the target section D4 is This is a section between positions A4 to A5. In the target sections D1 and D4, the vehicle accelerates, then travels at a substantially constant speed, and then decelerates. On the other hand, in the target sections D2 and D3, it can be seen that the speed of the vehicle is not so high and acceleration / deceleration is repeated.

  The speed calculation unit 16 calculates the average speed of the vehicle in each of the target sections D1, D2, D3, and D4. For example, the average speed in the target section D1 is obtained by changing the distance of the target section D1 from the stop time at the upstream end A1 of the target section D1 (more specifically, for example, the end time of the stop time) at the downstream end A2. It can be obtained by dividing by the time difference up to the stop time (more specifically, the start time of the stop time). When the stop time continues for a relatively long time, the stop time can be excluded by using the stop time end time and start time, and the average speed can be accurately calculated.

  FIG. 3B shows the average speed in each target section. In the example of FIG. 3B, the average speeds of the target sections D1, D2, D3, and D4 are V1, V2, V3, and V4. In FIG. 3B, Vth is a speed threshold value.

  When the average speed of the vehicle in the target section is smaller than the predetermined speed threshold Vth, the traffic jam determination unit 17 determines that there is traffic jam and determines that the target section is a traffic jam section. In the example of FIG. 3B, since the average speeds V2 and V3 are smaller than the speed threshold Vth, the target sections D2 and D3 are determined as traffic jam sections.

  The target section is a section between adjacent stop positions. In the target section, the vehicle is traveling at some speed without stopping, so the speed of the vehicle is not apparently reduced and traffic jams occur. Presence / absence can be determined with high accuracy, and whether the target section is congested can be determined with high accuracy.

  In the example of FIG. 3, the traffic jam is determined based on the average speed of the vehicle in the target section. However, the present invention is not limited to this, and the distance of the target section can be further considered.

  For example, the section distance calculation unit 14 calculates the distance of the target section, and the traffic jam determination unit 17 determines that the target section is a traffic jam section when the calculated distance is greater than a predetermined first threshold L1th. The first threshold is a value of about 10 m to 50 m, for example. When the distance of the target section from the position where the vehicle stopped to the next stop position is smaller than the first threshold L1th, the speed of the vehicle (for example, average speed, maximum speed) in the target section becomes relatively slow. It is not possible to determine whether the stop is due to traffic jams or traffic lights. Therefore, when the calculated distance is smaller than the predetermined first threshold L1th, the target section is not determined as the traffic jam section, and when the calculated distance is larger than the predetermined first threshold L1th, the target section is determined as the traffic jam section. By determining, it is possible to further improve the accuracy of determining the traffic jam.

  In addition, when the distance of the target section is smaller than the second threshold L2th that is larger than the first threshold L1th, the traffic jam determination unit 17 determines the target section as a traffic jam section. The second threshold L2th is, for example, a value equal to or greater than the vehicle head interval (vehicle length) corresponding to the number of vehicles that can pass through the intersection with one green light (for example, 60 seconds, 100 seconds, 120 seconds, etc.). . For example, when the green signal time is 60 seconds, the number of vehicles that can pass through the intersection during the 60 seconds is 30 if one vehicle can pass in 2 seconds. Assuming that the vehicle head interval per vehicle is 7 m, the vehicle head interval that can pass during the green light is 210 m (= 30 × 7). The second threshold L2th can be a value such as 400 m, 500 m, or 600 m, for example.

  The target section is a section from a position where the vehicle stops (for example, stops at a red signal) to a position where the vehicle stops next (stops at the next red signal). When the stop of the vehicle is due to waiting for a signal, the number of queues that can be made in one cycle (the number of vehicles that can pass through the intersection) × the vehicle head interval (vehicle length) is considered to be the upper limit of the distance of the target section. The second threshold L2th is a value that includes a margin in the upper limit. Therefore, when the calculated distance is smaller than the second threshold L2th, it can be considered that there is a traffic jam, and the target zone is determined as a traffic jam zone. On the other hand, when the signal does not wait at the intersection, or when the signal does not wait continuously at the adjacent intersection, the vehicle can continue running without stopping, so the distance of the target section becomes longer. That is, when the calculated distance is greater than the second threshold L2th, it is considered that there is no traffic jam, so it can be determined that the target zone is not a traffic jam zone. Thereby, it is possible to determine the traffic jam with higher accuracy.

  When determining a traffic jam, one of the determination method using the first threshold L1th and the determination method using the second threshold L2th may be used, or a combination of both may be used.

  Next, a method for determining a traffic jam in a target section where it is difficult to determine whether there is a traffic jam will be described. FIG. 4 is an explanatory diagram illustrating a first example in which the traffic jam of the target section is determined by using the adjacent traffic jam sections by the traffic jam determination apparatus 100 according to the present embodiment.

  As shown in FIG. 4, it is assumed that the average speeds V2 and V3 of the vehicles in the target sections D2 and D3 are smaller than the speed threshold Vth, and the target sections D2 and D3 are traffic congestion sections. In this case, it is determined whether or not the target section D4 is a traffic jam section.

  When the distance L4 of the target section D4 is smaller than the first threshold L1th and there is a traffic congestion section adjacent to the target section (in the example of FIG. 4, the traffic determination section 17 is adjacent to the target sections D4 and D3, The target section D3 is a traffic jam section), and the target section is determined as a traffic jam section. In the example of FIG. 4, the target section D4 is determined as a traffic jam section.

  The first threshold L1th is a threshold for determining that it is difficult to determine whether or not the target section is a traffic jam section. When the distance of the target section is larger than the first threshold L1th, the target The section can be determined as a traffic jam section. However, even when the distance of the target section is smaller than the first threshold L1th, when the section adjacent to the target section (for example, at least one of the upstream section or the downstream section) is a traffic jam section. The target section is likely to be a traffic jam section. Therefore, when the distance of the target section is smaller than the first threshold L1th and there is a traffic jam section adjacent to the target section, the target section is determined as a traffic jam section. Thereby, it is possible to more accurately determine the traffic jam section.

  FIG. 5 is an explanatory diagram illustrating a second example in which the traffic jam of the target section is determined by using the adjacent traffic jam sections by the traffic jam determination apparatus 100 according to the present embodiment. As shown in FIG. 5, it is assumed that the average speeds V6, V8, V9 of the vehicles in the target sections D6, D8, D9 are larger than the speed threshold Vth, and the target sections D6, D8, D9 are not traffic jam sections. In this case, it is determined whether or not the target section D7 is a traffic jam section.

  When the distance L7 of the target section D7 is smaller than the first threshold L1th and there is no traffic section adjacent to the target section (in the example of FIG. 5, the traffic jam determination unit 17 detects the target section D6 upstream of the target section D7). Also, the downstream target section D8 is not a traffic jam section), and it is determined that the target section is not a traffic jam section. In the example of FIG. 5, it is determined that the target section D7 is not a traffic jam section. Thereby, even when it is difficult to determine whether or not there is a traffic jam, it is possible to avoid erroneously determining a traffic jam section.

  Next, a method for determining (specifying) the congestion end position and the congestion start position will be described. FIG. 6 is an explanatory diagram illustrating an example of a method for determining a traffic jam tail and a traffic jam head by the traffic jam judgment device 100 according to the present embodiment. In FIG. 6, as in FIG. 2, the horizontal axis indicates the distance along the traveling locus of the vehicle, and the vertical axis indicates the speed of the vehicle. The stop positions of the vehicle from the upstream side are A11, A12, A13, A14, A15, and A16. Further, it is assumed that intersections S1, S2, and S3 exist from the upstream side on the travel locus. Further, it is assumed that the target sections D12, D13, and D14 are traffic jam sections. In this case, the target section D12 is the most upstream congestion section in the adjacent (continuous) congestion section, and the target section D14 is the most downstream congestion section in the adjacent (continuous) congestion section.

  When there are a plurality of adjacent traffic congestion sections (in the example of FIG. 6, the target sections D12, D13, and D14 are adjacent or continuous traffic congestion sections), the traffic jam end / head determination unit 19 is upstream of the upstream traffic jam section D12. The end A12 is determined as the end of the traffic jam. Thereby, the traffic jam tail position can be obtained with high accuracy.

  In addition, when there are a plurality of adjacent traffic congestion sections (in the example of FIG. 6, the target sections D12, D13, and D14 are adjacent or continuous traffic congestion sections), the traffic jam end / head determination unit 19 is the most downstream traffic jam section D14. A distance Ls from the downstream end A15 to the closest intersection S3 on the downstream side of the downstream end is calculated, and when the calculated distance Ls is smaller than a predetermined distance threshold LT, the intersection S3 is determined to be a traffic jam head.

  The distance threshold LT can be a distance corresponding to the number of signal queues, for example. When the vehicle stops while waiting for a signal, it does not necessarily stop at the stop line at the intersection, and when there is another stop vehicle in front of the vehicle, it may stop at a point upstream from the intersection. Therefore, when the distance Ls from the downstream end (stop position) to the closest intersection on the downstream side is smaller than the distance threshold LT, it is considered that the stop is waiting for a signal at the intersection, so the closest intersection on the downstream side Is determined as the head of traffic jam. As a result, it is possible to specify a so-called bottleneck intersection that frequently has a traffic jam head position and requires countermeasures or improvement for traffic jams.

  In addition, when there are a plurality of adjacent traffic congestion sections (in the example of FIG. 6, the target sections D12, D13, and D14 are adjacent or continuous traffic congestion sections), the traffic jam end / head determination unit 19 is the most downstream traffic jam section D14. The distance Ls from the downstream end A15 to the downstream closest intersection S3 of the downstream end is calculated, and when the calculated distance Ls is greater than a predetermined distance threshold LT, the upstream closest intersection S2 of the downstream end Is determined.

  If the distance Ls from the downstream end (stop position) to the closest intersection on the downstream side is greater than the distance threshold LT, avoid other factors (for example, parked vehicles or stopped vehicles) instead of stopping by waiting for a signal at the intersection. Therefore, when the vehicle stops temporarily and waits for the oncoming vehicle to pass, it is considered that the vehicle is stopped. Therefore, the intersection nearest to the upstream side of the downstream end is determined as the head of the traffic jam. As a result, it is possible to specify a so-called bottleneck intersection that frequently has a traffic jam head position and requires countermeasures or improvement for traffic jams.

  In the above example, the so-called bottleneck intersection is specified with the intersection S2 or S3 as the traffic jam head. However, the traffic jam head can be determined without identifying the bottleneck intersection. For example, when there are a plurality of adjacent traffic congestion sections (in the example of FIG. 6, the target sections D12, D13, and D14 are adjacent or continuous traffic congestion sections), the traffic jam end / head determination unit 19 is the most downstream traffic jam section D14. It is also possible to determine the downstream end A15 as the head of the traffic jam. Thereby, the traffic jam head position can be obtained with high accuracy.

  As the vehicle speed in the target section, the average speed is used in the example of FIG. 3, but the vehicle speed is not limited to the average speed, and a value other than the average speed may be used.

  FIG. 7 is an explanatory diagram showing an example of a traffic jam determination method based on the maximum vehicle speed by the traffic jam determination device 100 of the present embodiment. Assume that the vehicle stops at positions A21, A22, A23, A24, and A25. The target section D21 is a section between positions A21 to A22, the target section D22 is a section between positions A22 to A23, the target section D23 is a section between positions A23 to A24, and the target section D24 is This is a section between positions A24 to A25.

  The maximum vehicle speeds in the target sections D21, D22, D23, and D24 are V21max, V22max, V23max, and V24max, respectively. In FIG. 7, Vmax is a speed threshold (maximum speed threshold).

  When the maximum speed of the vehicle in the target section is smaller than the predetermined speed threshold value Vmax, the traffic jam determination unit 17 determines that there is traffic jam and determines that the target section is a traffic jam section. In the example of FIG. 7, since the maximum speeds V22max and V23max are smaller than the speed threshold Vmax, the target sections D22 and D23 are determined as traffic jam sections.

  Next, the operation of the traffic jam determination device 100 of the present embodiment will be described. FIG. 8 is a flowchart showing a procedure for determining a traffic jam by the traffic jam judging apparatus 100 according to the present embodiment. For the sake of convenience, the processing in FIG. 8 will be described with the control unit 10 as a main body. The control unit 10 acquires vehicle travel information (probe information) (S11). The travel information to be acquired is not limited to one vehicle, and travel information may be acquired from a plurality of vehicles.

  The control unit 10 specifies the travel locus of the vehicle (S12), and specifies the stop position of the vehicle (S13). The control unit 10 calculates the section distance of the target section (S14), and calculates the average speed of the vehicle in the target section (S15). The vehicle speed is not limited to the average speed, and various values such as a maximum speed, an intermediate value between the maximum speed and the minimum speed, and a value obtained by multiplying the maximum speed by a predetermined ratio (for example, a ratio such as 75%) can be used. Can be adopted.

    The control unit 10 determines whether or not the calculated average speed is smaller than the speed threshold (S16). If the average speed is smaller than the speed threshold (YES in S16), the section distance of the target section is greater than the first threshold L1th. It is determined whether it is larger and smaller than the second threshold L2th (S17).

  When the section distance is larger than the first threshold L1th and smaller than the second threshold L2th (YES in S17), the control unit 10 determines that there is a traffic jam (S18), and determines that the target section is a traffic jam section (S19). The process is terminated.

  When the average speed is not smaller than the speed threshold (NO in S16), or when the section distance of the target section is not larger than the first threshold L1th or smaller than the second threshold L2th (NO in S17), the control unit 10 Determines that there is no traffic jam (S20), and ends the process.

  The control unit 10 performs the above-described processing for a plurality of target sections. In the process of step S17, it may be determined only whether the section distance of the target section is larger than the first threshold L1th or the section distance of the target section is smaller than the second threshold L2th. This process may be omitted.

  The traffic jam determination device 100 of the present embodiment can also be realized using a general-purpose computer including a CPU, a RAM, and the like. That is, a computer program that defines each processing procedure illustrated in FIG. 8 is recorded on a computer program recording medium such as a CD, a DVD, a USB memory, etc., and the recording medium is inserted into a recording medium reading device. Is loaded into a RAM provided in the computer, and the computer program is executed by the CPU, whereby the traffic jam judgment device 100 can be realized on the computer. Also, a computer program that defines each processing procedure illustrated in FIG. 8 can be downloaded via the Internet.

  The disclosed embodiments are to be considered in all respects as illustrative and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

DESCRIPTION OF SYMBOLS 10 Control part 11 Interface part 12 Traveling track specific part 13 Stop position specific part 14 Section distance calculation part 15 Memory | storage part 16 Speed calculation part 17 Congestion determination part 18 Intersection distance calculation part 19 Congestion end and head determination part

Claims (10)

In the traffic jam judging device for judging the traffic jam on the road,
Obtaining means for obtaining travel information including a position of a vehicle traveling on a road and a time passing through the position;
A travel locus identifying means for identifying a travel locus of the vehicle based on the travel information obtained by the obtaining means;
Stop position specifying means for specifying the stop position of the vehicle on the travel locus specified by the travel locus specifying means based on the travel information;
Speed calculating means for calculating the speed of the vehicle in a target section that is a section between adjacent stop positions on the travel locus specified by the travel locus specifying means based on the travel information;
And determining means for determining the presence or absence of traffic congestion in the target section on the travel locus specified by the travel locus specifying means based on the speed calculated by the speed calculation means and a predetermined speed threshold. Traffic jam judging device. Section distance calculating means for calculating the distance of the target section;
The determination means includes
The traffic jam judging device according to claim 1, wherein when the distance calculated by the zone distance calculating means is larger than a predetermined first threshold, the target zone is judged as a traffic jam zone. The determination means includes
The traffic jam according to claim 2, wherein the target zone is determined to be a traffic jam zone when the distance calculated by the zone distance calculation means is smaller than a second threshold value that is greater than the first threshold value. Judgment device. The determination means includes
The configuration is such that, when the distance of the target section is smaller than the first threshold, the target section is determined as a traffic jam section when there is a traffic jam section adjacent to the target section. Or the traffic congestion determination apparatus of Claim 3.   The traffic jam according to any one of claims 2 to 4, further comprising a traffic jam tail determining unit that judges that the upstream end of the most upstream traffic jam section is the traffic jam tail when there are a plurality of adjacent traffic jam segments. Judgment device.   The traffic jam according to any one of claims 2 to 5, further comprising: a traffic jam head judging means for judging that the downstream end of the most downstream traffic jam section is a traffic jam head when there are a plurality of adjacent traffic jam segments. Judgment device. When there are a plurality of adjacent traffic congestion sections, an intersection distance calculation means for calculating a distance from the downstream end of the most downstream traffic congestion section to the closest intersection on the downstream side of the downstream end,
6. The traffic jam head judging means for judging that the intersection is a traffic jam head when the distance calculated by the intersection distance calculating means is smaller than a predetermined distance threshold value. The traffic judgment device described in 1. When there are a plurality of adjacent traffic congestion sections, an intersection distance calculation means for calculating a distance from the downstream end of the most downstream traffic congestion section to the closest intersection on the downstream side of the downstream end,
3. A traffic jam head judging means for judging that an intersection nearest to the upstream side of the downstream end is a traffic jam head when the distance calculated by the intersection distance calculating means is larger than a predetermined distance threshold value. Item 6. The traffic jam judging device according to any one of item 5. In a computer program for causing a computer to judge road congestion,
The computer,
A travel locus specifying means for specifying a travel locus of the vehicle based on travel information including a position of the vehicle traveling on the road and a time passing through the position;
Stop position specifying means for specifying the stop position of the vehicle on the specified travel locus based on the travel information;
Speed calculating means for calculating the speed of the vehicle in a target section that is a section between adjacent stop positions on the specified travel locus based on the travel information;
Determining means for determining the presence or absence of traffic jam in the target section on the identified travel locus based on the calculated speed and a predetermined speed threshold;
A computer program characterized by functioning as a computer program. In the traffic jam judging method by the traffic jam judging device for judging the traffic jam on the road,
The acquisition means acquiring travel information including the position of the vehicle traveling on the road and the time passing through the position;
Based on the acquired travel information, the step of the travel trajectory identifying means identifying the travel trajectory of the vehicle;
A stop position specifying means for specifying a stop position of the vehicle on the specified travel locus based on the travel information;
A step of calculating a speed of the vehicle in a target section that is a section between adjacent stop positions on the specified travel locus based on the travel information; and
And a determination unit that determines whether or not there is congestion in the target section on the specified travel locus based on the calculated speed and a predetermined speed threshold.

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