JP2011221960A - Starting/end point traffic volume calculation device, traffic simulator and starting/end point traffic volume calculation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a starting/end point traffic volume calculation device, a traffic simulator, and a starting/end point traffic volume calculation method capable of calculating starting/end point traffic volume with sufficient accuracy without requiring repetition of trial-and-error processing for calculating OD traffic volume.SOLUTION: A weighting factor determination part 18 determines a weighting factor α based on the installed number of optical beacons installed in a starting point area and/or an end point area. A starting/end point traffic volume calculation part 19 performs weighted average of first starting/end point traffic volume A and second starting/end point traffic volume B acquired by a first traffic volume acquisition part 12 and a second traffic volume acquisition part 15 with the weighting factor α determined by the weighting factor determination part 18 to calculate starting/end point traffic volume C from the starting point area to the end point area.

Description

  The present invention relates to a start / end point traffic calculation device for calculating a start / end point traffic volume of a vehicle from a start point region to an end point region, a traffic simulator using the start / end point traffic volume calculated by the start / end point traffic amount calculation device, and a start / end point traffic amount It relates to a calculation method.

  Expectations for traffic simulators are increasing as a means of evaluating the impact of traffic regulations in advance, and various technological developments are being carried out. Such a traffic simulator is given as input data traffic information such as start / end traffic volume (for example, OD traffic volume) including vehicle start point information and end point information, vehicle travel speed, acceleration / deceleration characteristics, and the like. It is handled. The traffic simulator contains a vehicle movement model, that is, a calculation formula that simulates the behavior of the vehicle in advance, and by applying the above input data to the calculation formula, an evaluation value of the required traffic state quantity is obtained. Output.

  Conventionally, there are mainly two methods for obtaining the OD traffic volume. One is that a road device such as an optical beacon is installed on the road, receives uplink information from the vehicle, and tracks the travel locus of the vehicle. For example, this is a method of obtaining the number of vehicles per unit time that occurs at a certain point and disappears at another point. The other method is an indirect estimation method based on the results of a car start / end point survey in a national road traffic situation survey, which is a national survey conducted by the Ministry of Land, Infrastructure, Transport and Tourism once every few years.

  As a method for obtaining the OD traffic volume with higher accuracy, the OD traffic volume Q1 obtained based on the communication between the in-vehicle device and the roadside device and the OD traffic volume Q2 obtained by the traffic measurement are weighted. Perform the average operation. Then, the weighted averaged OD traffic volume (number of vehicles) is traveled along the optimum route from the occurrence point (O) to the disappearance point (D), and the point traffic volume at each point is calculated. The OD traffic volume Q is calculated by repeating the average calculation while changing the weighting factor of the average calculation so that the calculated point traffic and the point traffic measured at each point are equal to or less than a predetermined error. A desired OD traffic volume determination device is disclosed (see Patent Document 1).

JP 2003-16569 A

  However, in the apparatus of Patent Document 1, in order to obtain the weighting factor, first, the average calculation of the OD traffic volumes Q1 and Q2 is performed using the first weighting factor, and an error between the average calculation result and the measurement result is obtained. Until the value becomes equal to or less than a predetermined value, it is necessary to repeatedly change the weighting coefficient by trial and error and perform the average calculation process each time. For this reason, there has been a problem that the processing load increases to calculate the weighting coefficient.

  The present invention has been made in view of such circumstances, and it is not necessary to repeat trial and error processing to calculate the starting and ending traffic volume (OD traffic volume), and to accurately determine the starting and ending traffic volume. It is an object of the present invention to provide an origin / endpoint traffic calculation device, a traffic simulator using the origin / endpoint traffic calculated by the origin / endpoint traffic calculation device, and an origin / endpoint traffic calculation method.

  The starting and ending traffic volume calculating device according to the first aspect of the present invention is the starting and ending traffic volume calculating device for calculating the starting and ending traffic volume of the vehicle from the starting area to the ending area using at least one of the uplink information or the automobile starting and ending point survey. , First acquisition means for acquiring a first start / end traffic based on uplink information of a plurality of vehicles received via a plurality of road devices, and a second start / end traffic based on a vehicle start / end survey Second acquisition means, weight coefficient acquisition means for acquiring a weight coefficient determined based on the number of installed road devices installed in the starting area and / or the end area, the first acquisition means, and the second acquisition The first start / end point traffic volume acquired by the means and the second start / end point traffic volume are weighted and averaged by the weighting factor acquired by the weighting factor acquiring means, and the start / end point traffic volume from the start point region to the end point region is calculated. Characterized in that it comprises a end point traffic amount calculating means.

  According to a second aspect of the present invention, in the first invention, the weighting factor is set to be larger or smaller depending on the installation density of the roadside devices installed in the starting area and / or the ending area. The starting and ending traffic volume calculating means calculates the starting and ending traffic volume by the first starting and ending traffic volume x the weighting factor + the second starting and ending traffic volume x (1-the weighting factor). It is comprised so that it may carry out.

  The starting and ending traffic volume calculating device according to a third invention is the second invention, wherein the weighting coefficient is a first coefficient value when the installation density in the starting area and the ending area are both less than a predetermined density threshold, When one installation density of the starting point area or the ending point area is equal to or higher than a predetermined density threshold, a second coefficient value larger than the first coefficient value is set, and both the setting density in the starting point area and the end point area are a predetermined density. When the value is equal to or greater than the threshold value, the third coefficient value is set to be larger than the second coefficient value.

  According to a fourth aspect of the present invention, there is provided an origin / endpoint traffic volume calculation device according to any one of the first to third aspects, wherein the uplink information is divided for each vehicle to identify a travel route including the origin and end point of the vehicle. Travel route specifying means; and first calculation means for calculating a first start / end traffic volume based on the number of vehicles including the start point and end point specified by the travel route specifying means in the start point area and end point area, The first acquisition unit is configured to acquire the first traffic volume calculated by the first calculation unit.

  The starting and ending traffic volume calculating device according to a fifth invention is the traffic volume in the target area of the vehicle starting and ending point survey and the starting area included in the target area in any one of the first to fourth inventions, A second calculating unit configured to calculate a second starting and ending traffic amount based on predetermined relational information related to a traffic volume in the end point region, wherein the second acquiring unit calculates a second value calculated by the second calculating unit; It is configured to acquire the starting and ending traffic volume.

  The traffic simulator according to a sixth aspect of the invention is characterized in that the start / end point traffic calculated by the start / end point traffic calculating device according to any one of the first to fifth aspects is used as input data.

  According to a seventh aspect of the present invention, there is provided a start / end point traffic volume calculation method for calculating a start / end point traffic amount of a vehicle from a start point region to an end point region using at least one of uplink information or a car start / end point survey. In the start / end traffic calculation method, a step of acquiring a first start / end traffic based on uplink information of a plurality of vehicles received via a plurality of road devices, and a second start / end based on a car start / end survey A step of acquiring a traffic volume, a step of acquiring a weighting factor determined based on the number of installed on-road devices installed in the starting point region and / or the ending point region by a weighting factor acquiring unit, and the acquired first A weighted average of the starting and ending traffic volume, the second starting and ending traffic volume and a weighting factor is used to calculate the starting and ending traffic volume from the starting area to the ending area by the starting and ending traffic volume calculating means. Characterized in that it comprises a flop.

  In the 1st invention and the 7th invention, while acquiring the 1st traffic volume A based on the uplink information of a plurality of vehicles received via a plurality of road devices (for example, an optical beacon), it is a car. The second traffic volume B based on the traffic survey is acquired. The uplink information includes, for example, a unique number of the optical beacon that the vehicle has passed, a passage time when the vehicle has passed the optical beacon, a vehicle identification number, and the like. In addition, the car start / end point survey is part of the National Road Traffic Situation Survey (Road Traffic Census) conducted once every few years by the Ministry of Land, Infrastructure, Transport and Tourism. Can be obtained through a questionnaire survey.

  A weighting factor α determined based on the number of installed roadside devices installed in the starting point region and / or the ending point region, and a weighting factor α that has acquired the first starting point end point traffic volume A and the second starting point end point traffic amount B. The starting and ending traffic volume C from the starting point area to the ending point area is calculated by weighted averaging. For example, the starting and ending traffic volume C can be obtained by C = α × A + (1−α) × B. In this case, since the accuracy of the first start / end point traffic volume A based on the uplink information increases as the number of installed road devices increases, the weighting of the first start / end point traffic volume A can be increased.

  Since a weighting factor determined based on the number of installed devices in a starting point area and / or an ending point area of a road device (for example, an optical beacon) that receives uplink information is used, it is not necessary to repeatedly calculate the weighting coefficient by trial and error, and processing The burden can be reduced. In addition, since both the first start / end traffic based on the uplink information and the second start / end traffic based on the vehicle start / end survey are taken into consideration, the start / end traffic can be started more accurately than when only one is used as in the prior art. The end point traffic volume can be calculated. Thereby, it is not necessary to repeat trial and error processing to calculate the starting and ending traffic volume, and the starting and ending traffic volume can be obtained with high accuracy.

  In the second aspect of the invention, the weighting factor α is set to be large or small according to the installation density of the roadside devices installed in the starting point area and / or the ending point area. For example, when the installation density of roadside devices (for example, the number of installed devices per unit area) increases, the weighting factor α is increased. The start / end point traffic volume C is calculated by the following equation: first start / end point traffic volume A × weighting coefficient α + second start / end point traffic volume B × (1−weighting coefficient α). That is, as the installation density of roadside devices increases, the accuracy of the first start / end traffic A based on the uplink information increases, so the weighting factor α is increased to account for the first start / end traffic C. Increase the percentage of end-point traffic A. Also, if the installation density of roadside equipment is reduced, the accuracy of the first traffic volume A based on the uplink information is lowered, so the weighting factor α is reduced to reduce the second traffic volume C to the traffic volume C. Increase the percentage of the end traffic volume B. Thereby, it is not necessary to repeat trial and error processing to calculate the starting and ending traffic volume, and the starting and ending traffic volume can be obtained with high accuracy.

  In the third aspect of the invention, when both the installation density in the start area and the end area are less than the predetermined density threshold value Nth, the weight coefficient is set to the first coefficient value α1. When the installation density of one of the start area and the end area is equal to or higher than a predetermined density threshold Nth, the weight coefficient is set to a second coefficient value α2 that is larger than the first coefficient value α1. Further, when both the installation density in the start point region and the end point region are equal to or greater than the predetermined density threshold value Nth, the weighting factor is set to the third coefficient value α3 that is larger than the second coefficient value α2. The density threshold value Nth can be set to 2 to 10 units per square kilometer, for example. Further, the weighting factors α1, α2, and α3 can be set to 0.1, 0.5, 0.9, and the like, respectively. As a result, the weighting of the first start / end point traffic volume A and the second start / end point traffic volume B can be changed for each start point and end point region, and trial and error calculation of the weighting coefficient becomes completely unnecessary. The starting and ending traffic volume can be obtained with high accuracy.

  In the fourth aspect of the invention, the uplink information is divided for each vehicle, and the travel route including the starting point and the ending point of the vehicle is specified. For example, a traveling route can be specified by sorting uplink information of a plurality of vehicles collected by a plurality of road devices (for example, optical beacons) for each vehicle identification number. From the sorting result, the position of the optical beacon that has passed first can be the origin of the vehicle (Origin), and the position of the optical beacon that has passed last can be the destination of the vehicle. The first start / end traffic volume A is calculated based on the number of vehicles including the start point and end point specified in the start point area and the end point area, and the calculated first start / end point traffic volume A is acquired. For example, the first start / end point traffic volume A12 from the start point region R1 to the end point region R2 may be a traffic amount based on the number of vehicles having a generation point in the start point region R1 and a disappearance point in the end point region R2. it can. Thereby, the 1st traffic volume based on uplink information can be calculated | required.

  In the fifth invention, the second start / end traffic volume B is the traffic volume in the target area (for example, census zone) of the car start / end point survey and the start and end area included in the target area. The relationship with the traffic volume is calculated based on the predetermined related information, and the calculated second start / end traffic volume B is acquired. For example, the target region (census zone) is divided into a plurality of regions R1, R2,..., And the ratio is determined as related information based on the population ratio or the area ratio of the target region with respect to the target region. Then, the traffic volume starting from the areas R1, R2,... Is obtained by multiplying the traffic volume starting from the target area by the ratio of each area R1, R2,. Similarly, the traffic volume having the end points of the regions R1, R2,... Is obtained by multiplying the traffic volume having the target region as the end point by the ratio of the respective regions R1, R2,. Thereby, the 2nd traffic volume of the starting and ending point based on the car starting and ending point survey can be obtained.

  In the sixth aspect of the invention, the traffic simulator uses the start / end traffic calculated by the start / end traffic calculation device as input data. As a result, it is possible to use a highly accurate starting and ending traffic volume, and to accurately obtain an evaluation value of a required traffic state quantity.

  According to the present invention, it is not necessary to repeatedly calculate weighting factors by trial and error, and the processing load can be reduced. In addition, since both the first start / end traffic based on the uplink information and the second start / end traffic based on the vehicle start / end survey are taken into consideration, the start / end traffic can be started more accurately than when only one is used as in the prior art. The end point traffic volume can be calculated.

It is a block diagram which shows an example of a structure of the origin / endpoint traffic volume calculation apparatus which concerns on this Embodiment. It is a schematic diagram which shows the example of a list of uplink information. It is a schematic diagram which shows an example of the driving | running route containing the starting point and end point of a vehicle. It is explanatory drawing which shows an example of the traffic volume of the origin / endpoint for every link. It is explanatory drawing which shows an example of the traffic volume for every area | region. It is explanatory drawing which shows an example of the object area | region and related information of a vehicle origin / endpoint investigation. It is explanatory drawing which shows the relationship between the determination condition of a weighting coefficient, and a weighting coefficient. It is explanatory drawing which shows an example of the installation density of an optical beacon. It is explanatory drawing which shows an example of the determined weighting coefficient. It is explanatory drawing which shows an example of the 1st start / end traffic volume and the 2nd start / end traffic volume. It is explanatory drawing which shows an example of the weighted traffic volume. It is a block diagram which shows the structural example of the traffic simulator of this Embodiment.

  Hereinafter, an origin / endpoint traffic calculation apparatus according to the present invention, a traffic simulator using the origin / endpoint traffic calculated by the origin / endpoint traffic calculation apparatus as input data, and an origin / endpoint traffic calculation method by the origin / endpoint traffic calculation apparatus An embodiment will be described with reference to the drawings. FIG. 1 is a block diagram showing an example of the configuration of the origin / destination traffic calculation device 100 according to the present embodiment. The start / end traffic volume calculation device 100 includes a control unit 10 that controls the entire device, an input unit 11, a travel route specifying unit 13, a first traffic volume calculation unit 14, and the like, a first traffic volume acquisition unit 12, a second traffic volume. A second traffic volume acquisition unit 15 including a calculation unit 16, an output unit 17, a weight coefficient determination unit 18, a start / end point traffic volume calculation unit 19, a storage unit 20 that stores predetermined information, and the like are provided.

  The start / end traffic volume calculation device 100 calculates the start / end traffic volume C of the vehicle from the start area to the end area. Here, the starting point region is a region of a road network of a required scale and is a region where a vehicle is generated, and the end point region is a region where the vehicle disappears. The starting and ending traffic volume C is the number of vehicles per unit time that occurs in the starting point area and disappears in the ending point area.

  The input unit 11 has an interface function between the start / end traffic calculation device 100 and the outside. The input unit 11 receives, for example, uplink information of a plurality of vehicles collected by a plurality of optical beacons (on-road devices) installed on the road. The uplink information includes, for example, a unique number of the optical beacon that the vehicle has passed, a passage time when the vehicle has passed the optical beacon, a vehicle identification number, and the like.

  In addition, the input unit 11 accepts a car start / end point survey. Car start and end point survey is a part of the national road traffic situation survey (road traffic census) conducted by the Ministry of Land, Infrastructure, Transport and Tourism once every few years, and it is a roadside OD survey that interviewed the operation situation or a questionnaire for owners and users of cars Obtained by survey.

  The 1st traffic volume acquisition part 12 has a function as a 1st acquisition means which acquires the 1st traffic volume A based on the uplink information of the some vehicle received via the some optical beacon (road device). Have. The first traffic volume acquisition unit 12 can also be configured with a travel route specifying unit 13 and a first traffic volume calculation unit 14.

  The travel route specifying unit 13 has a function as a travel route specifying unit that divides the uplink information for each vehicle and specifies a travel route including a start point (occurrence point) and an end point (disappearance point) of the vehicle.

  The first traffic volume calculation unit 14 calculates the first traffic volume A based on the number of vehicles including the start point (occurrence point) and the end point (disappearance point) specified in the start point region and the end point region. It has a function as a calculation means.

  The first traffic volume acquisition unit 12 acquires the first traffic volume A calculated by the first traffic volume calculation unit 14. The first traffic volume acquisition unit 12 may not include the travel route specifying unit 13 and the first traffic volume calculation unit 14. In this case, the 1st traffic volume acquisition part 12 should just acquire the 1st traffic volume A directly from the outside.

  The second traffic volume acquisition unit 15 has a function as a second acquisition unit that acquires the second traffic volume B based on the vehicle start / end point survey. The second traffic volume acquisition unit 15 can also be configured by the second traffic volume calculation unit 16.

  The second traffic volume calculation unit 16 determines in advance a relationship between the traffic volume in the target area (for example, census zone) of the automobile start / end point survey and the traffic volume in the start area and the end area included in the target area. It has a function as a 2nd calculation means which calculates the 2nd traffic volume B from the information.

  The second traffic volume acquisition unit 15 acquires the second traffic volume B calculated by the second traffic volume calculation unit 16. Note that the second traffic volume acquisition unit 15 may not include the second traffic volume calculation unit 16. In this case, the 2nd traffic acquisition part 15 should just acquire the 2nd traffic volume B directly from the outside.

  The weighting factor determination unit 18 determines the weighting factor α based on the number of installed optical beacons (road devices) installed in the starting point region and / or the ending point region. The weighting factor determination unit 18 has a function as a weighting factor acquisition unit that acquires a weighting factor that is determined based on the number of installed optical beacons (on-road devices) installed in the start point region and / or the end point region. For example, a weighting coefficient determined based on the number of installed road devices may be calculated in advance and stored in the storage unit 20, and the weighting coefficient may be acquired from the storage unit 20.

  The start / end point traffic calculation unit 19 uses the first start / end point traffic A and the second start / end point traffic B acquired by the first traffic amount acquisition unit 12 and the second traffic amount acquisition unit 15 as the weight coefficient determination unit 18. It has a function as a start / end point traffic volume calculating means for calculating the start / end point traffic volume C from the start point area to the end point area by weighted averaging with the weighting coefficient α determined in step (b).

  The output unit 17 outputs the start / end point traffic volume C calculated by the start / end point traffic amount calculation unit 19 to, for example, a traffic simulator.

  Next, the operation of the start / end traffic calculation device 100 of the present embodiment will be described. As described above, the start / end point traffic volume calculation device 100 according to the present embodiment weights and averages the first start / end point traffic volume A and the second start / end point traffic volume B with a predetermined weighting coefficient α. The starting and ending traffic volume C from to the ending area is calculated. First, a method for calculating the first traffic volume A will be described. In the following example, the start / end point traffic volume calculation device 100 calculates the first start / end point traffic volume A, but the start / end point traffic volume calculation device 100 has already been calculated from an external device. The structure which acquires the starting / ending traffic A may be sufficient.

  FIG. 2 is a schematic diagram showing a list example of uplink information. A plurality of optical beacons (on-road devices) installed on the road network receive uplink information (including information provided by optical beacons) received from a vehicle (on-vehicle device) in a predetermined transmission cycle. Send to. The center device accumulates the received uplink information and sends the accumulated uplink information to the origin / destination traffic calculation device 100. Thereby, the origin / destination traffic calculation apparatus 100 acquires uplink information.

  As shown in FIG. 2, when the uplink information is represented as a list, the unique number of the optical beacon that the vehicle has passed, the passage time when the vehicle has passed the optical beacon, the vehicle identification code (identification number), the vehicle type, the previous pass It includes information such as the unique number of the optical beacon and the running time from the previous passage.

  The travel route specifying unit 13 divides the uplink information for each vehicle and specifies a travel route including the start point (occurrence point) and the end point (disappearance point) of the vehicle. FIG. 3 is a schematic diagram showing an example of a travel route including a starting point and an ending point of the vehicle. By extracting only the data of the same vehicle identification code (for example, 1001) of the vehicle from the list of uplink information shown in FIG. 2, and arranging the extracted data in the order of the optical beacon that has passed, the optical beacon that the vehicle has passed is passed. The travel route can be identified by specifying in order. And the position of the light beacon that passed the earliest time and the light beacon that passed last time is flagged as “None” represents the generation point of the vehicle, and the position of the light beacon that passed the latest time point is the disappearance of the vehicle Represents a point. Thereby, the generation | occurrence | production point and disappearance point for every vehicle can be specified, and the number of vehicles per unit time from an occurrence point to an extinction point can be calculated | required. In addition, if an optical beacon is installed in the vicinity of an intersection, an occurrence point and an extinction point can be specified for each link that is a road between intersections.

  The first traffic volume calculation unit 14 calculates the first traffic volume based on the number of vehicles including the start point (occurrence point) and the end point (disappearance point) specified in the start point region and the end point region. A method of calculating the following first traffic volume will be described.

  FIG. 4 is an explanatory view showing an example of the traffic volume for each link. FIG. 4 shows the number of vehicles per unit time that are generated from the link Li (i = 1, 2,...) And disappear at the link Lj (j = 1, 2,...). In the example of FIG. 4, the number of vehicles starting from the link L1 and ending at the link L3 is a. Similarly, the number of vehicles starting from the link L1 and ending at the link L4 is b. Similarly, the number of vehicles starting from the link L2 and ending at the link L3 is c. Similarly, the number of vehicles starting from the link L2 and ending at the link L4 is d.

  FIG. 5 is an explanatory diagram showing an example of the traffic volume for each area. FIG. 5 shows the number of vehicles per unit time that are generated from the region Ri (i = 1, 2,...) And disappear in the region Rj (j = 1, 2,...). Regarding the relationship between the area and the link, one area includes one or a plurality of links. The region may be a region.

  For example, when the region R1 is composed of links L1 and L2 and the region R2 is composed of links L3 and L4, the start / end point traffic volume C12 starting from the region R1 and ending at the region R2 is a + b + c + d. In this way, the first start from the start point region Ri to the end point region Rj is determined by the number of vehicles including the start point Li (occurrence point) and the end point Lj (disappearance point) specified in the start point region Ri and the end point region Rj. The end point traffic volume Cij can be calculated. That is, the first traffic volume C based on the uplink information can be obtained.

  When calculating the first start / end traffic volume C, it is possible to consider the mounting rate β of the in-vehicle device having the communication function with the optical beacon. The loading rate β can be obtained by dividing the number of uplink information received by the optical beacons in the region Ri (the number of vehicles communicating with the optical beacons) by the total number of vehicles sensed to pass by the optical beacons. . That is, by multiplying (multiplying) the first departure / end point traffic volume C by the reciprocal of the loading rate β, the first start / end point traffic volume C taking the loading rate β into consideration can be obtained. When the mounting rates detected by a plurality of optical beacons are different, the average value of the mounting rates detected by each optical beacon can be used, or the value having the largest mounting rate can be used.

  Next, a method for calculating the second traffic volume B will be described. The second traffic volume calculation unit 16 determines in advance a relationship between the traffic volume in the target area (for example, census zone) of the automobile start / end point survey and the traffic volume in the start area and the end area included in the target area. Based on the information, a second traffic volume B is calculated.

  FIG. 6 is an explanatory diagram showing an example of a target area and related information for a car start / end point survey. In the vehicle origin / endpoint survey, that is, the road traffic census OD survey, as a zone system (zone type), for example, a prefecture or branch zone divided by prefecture or branch office, an aggregate B approximately equivalent to the size of a city group Zone (for example, a highway network in block units), a B zone (for example, a highway network in prefectures or living areas) roughly equivalent to the size of a city, a C zone ( For example, a street network in a city). The target region in the present embodiment may be any of these zones, but will be described below assuming the B zone. When a new zone is set, this zone can also be adopted as the target area.

  In the example of FIG. 6, the census B zone (target region) is divided into six regions R1 to R6. The number of regions is not limited to the example of FIG. And a ratio is defined as related information by the population ratio or the area ratio with respect to the census B zone (target area | region) of each area | region R1-R6. In the example of FIG. 6, the ratio is determined by the population ratio, for example, the region R1 is 10%, the region R2 is 5%, and the like.

  The traffic volume starting from the areas R1 to R6 is obtained by multiplying the traffic volume starting from the census B zone by the ratio of each area R1 to R6. For example, if the number of vehicles generated in the census B zone is 1000, the number of vehicles generated in the region R1 can be 100. Similarly, the number of vehicles generated in the region R2 can be 50.

  Further, the traffic volume having the end points of the areas R1 to R6 is obtained by multiplying the traffic volume having the end point of the census B zone by the ratio of each of the areas R1 to R6. For example, if the number of vehicles disappearing in the census B zone is 800, the number of vehicles disappearing in the region R1 can be 80. Similarly, the number of vehicles disappearing in the region R2 can be 40. Thereby, the 2nd traffic volume B of the starting / ending point based on a car starting / ending point investigation can be calculated | required.

  In addition, the 2nd traffic volume B for every time slot | zone can be calculated | required as follows. That is, the time zone distribution coefficient is obtained by dividing the first start / end point traffic volume A in the time period by the total first start / end point traffic volume A of the day. Then, the second starting and ending traffic volume B in the time zone can be obtained by multiplying (multiplying) the second starting and ending traffic volume B of the day by the time zone distribution coefficient.

  Next, a method for determining a weighting factor will be described. FIG. 7 is an explanatory diagram showing the relationship between the determination condition of the weighting factor α and the weighting factor α. The weighting factor α is set to be large or small according to the installation density of the optical beacons (road devices) installed in the starting point area and / or the ending point area. For example, if the installation density of optical beacons (for example, the number of installed units per unit area) increases, the weighting factor α is increased.

  As shown in FIG. 7, the installation density of optical beacons in the start point region and the end point region can be set with a predetermined density threshold Nth (for example, the number of installed units per square kilometer, etc. If the threshold is less than 2), for example, the weight coefficient α is set to the first coefficient value α1 (for example, 0.1). In addition, when the installation density of the optical beacons is equal to or higher than a predetermined density threshold value Nth in only one of the start point region and the end point region, the second coefficient value α2 (for example, 0.5) that is greater than the first coefficient value α1. And Further, when the installation density of the optical beacons in the start point region and the end point region are both equal to or higher than a predetermined density threshold value Nth, the weighting factor α is set to a third coefficient value α3 (for example, 0.9) larger than the second coefficient value α2. .

  In addition, when the number of installed optical beacons in either the start point region or the end point region is zero, the weight coefficient α is set to zero. When the starting point area and the ending point area are the same area, the weighting coefficient α is set to zero.

  As a result, the weighting of the first start / end point traffic volume A and the second start / end point traffic volume B can be changed for each start point and end point region, and trial and error calculation of the weighting coefficient becomes completely unnecessary. The starting and ending traffic volume C can be obtained with high accuracy.

  FIG. 8 is an explanatory diagram showing an example of the installation density of optical beacons. As shown in FIG. 8, the installation density of the optical beacons in the region R1 is 7 units / square kilometer, the installation density of the optical beacons in the region R2 is 2 units / 1 square kilometer, and the optical beacons in the region R3 The installation density is 3 units / 1 square kilometer, and the installation density of the optical beacons in the region R4 is 5 units / 1 square kilometer.

  FIG. 9 is an explanatory diagram showing an example of the determined weighting coefficient. In the example of FIG. 9, the density threshold Nth is set to 5, but the density threshold Nth is not limited to 5. As shown in FIGS. 8 and 9, for example, the weighting factor when the starting region is R1 and the ending region is R2, the optical beacon installation density is predetermined only in the starting region R1 out of the starting region R1 and the ending region R2. Is equal to or greater than the density threshold value Nth (for example, 5), the weight coefficient α is α2. Further, for example, the weighting factor when the starting region is R1 and the ending region is R4 is the weighting factor α because the installation density of the optical beacons is not less than a predetermined density threshold Nth in both the starting region R1 and the ending region R4. Becomes α3. Further, the weighting factor when the origin region is R2 and the endpoint region is R3 is that the installation density of the optical beacons is less than a predetermined density threshold Nth in both the origin region R1 and the endpoint region R4. α1. Thereafter, the weighting factor is determined in the same manner.

  As described above, since the weighting coefficient determined based on the number of installed devices in the starting area and / or the ending area of the roadside apparatus (for example, optical beacon) that receives the uplink information is used, it is necessary to repeatedly calculate the weighting coefficient by trial and error. The processing burden can be reduced.

  The start / end point traffic volume calculation unit 19 performs a weighted average of the first start / end point traffic volume A and the second start / end point traffic volume B with the determined weighting coefficient α to obtain the start / end point traffic volume C from the start point area to the end point area. calculate. For example, the starting and ending traffic volume C can be obtained by C = α × A + (1−α) × B. In this case, the more the number of installed optical beacons, the higher the accuracy of the first start / end traffic volume A based on the uplink information. Therefore, by increasing the weight of the first start / end traffic volume A, the start / end traffic volume C Can improve the accuracy.

  FIG. 10 is an explanatory view showing an example of the first start / end point traffic volume A and the second start / end point traffic volume B, and FIG. 11 is an explanatory view showing an example of the weighted start / end point traffic volume. As shown in FIG. 10, the starting and ending traffic volume (first starting and ending traffic volume A) based on the uplink information with the starting area R1 and the ending area R2 is A12, the starting area is R1, and the ending area is R2. The starting and ending traffic volume (second starting and ending traffic volume B) based on the vehicle starting and ending point survey is B12. In this case, as shown in FIG. 11, the weighted starting / ending point traffic C12 having the starting point region as R1 and the ending point region as R2 can be calculated by C12 = α2 × A12 + (1−α2) × B12. The same applies to the case where other regions are used as starting and ending points. When the starting and ending areas are the same, the weighting coefficient α is zero, so the starting and ending traffic volume (second starting and ending traffic volume B) according to the car starting and ending point survey becomes the weighted starting and ending traffic volume C as it is.

  In this way, since both the first starting / ending point traffic volume A based on the uplink information and the second starting / ending point traffic volume B based on the car starting / ending point survey are taken into consideration, compared to the case of using only one as in the prior art. Thus, the traffic volume can be calculated with high accuracy. Thereby, it is not necessary to repeat trial and error processing to calculate the starting and ending traffic volume, and the starting and ending traffic volume can be obtained with high accuracy.

  The starting / ending point traffic C is calculated by the following equation: first starting / ending point traffic A × weighting coefficient α + second starting / ending point traffic B × (1−weighting coefficient α). That is, as the installation density of optical beacons increases, the accuracy of the first traffic volume A based on the uplink information increases, so the weighting factor α is increased to increase the first traffic volume C in the traffic volume C. Increase the percentage of end-point traffic A. Further, if the installation density of the optical beacons is reduced, the accuracy of the first start / end traffic volume A based on the uplink information is lowered. Therefore, the weighting factor α is reduced to reduce the second start / end traffic volume C. Increase the percentage of the end traffic volume B. Thereby, it is not necessary to repeat trial and error processing to calculate the starting and ending traffic volume, and the starting and ending traffic volume can be obtained with high accuracy.

  FIG. 12 is a block diagram illustrating a configuration example of the traffic simulator 200 according to the present embodiment. The traffic simulator 200 uses the start / end point traffic volume C calculated by the start / end point traffic volume calculation device 100 of the present embodiment as input data, calculates an evaluation value of a required traffic state quantity, and outputs it as output data.

  The traffic simulator 200 includes a simulator engine unit 201 that performs a calculation based on a calculation formula representing a vehicle movement model, and a generated traffic volume at an arbitrary link based on a traffic volume C calculated by the traffic volume calculation apparatus 100. And a traffic volume calculation unit 202 that calculates the extinct traffic volume, an evaluation value calculation unit 203 that calculates an evaluation value of the traffic state quantity based on the traffic volume calculated by the traffic volume calculation unit 202, and the like.

  As a result, it is possible to use a highly accurate starting and ending traffic volume, and to accurately obtain an evaluation value of a required traffic state quantity.

  In the above-described embodiment, an optical beacon has been described as an example of a road device. However, the road device is not limited to an optical beacon, as long as it can acquire uplink information from a vehicle. Other devices such as a radio beacon may be used.

  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 Input part 12 1st traffic volume acquisition part 13 Travel route specific | specification part 14 1st traffic volume calculation part 15 2nd traffic volume acquisition part 16 2nd traffic volume calculation part 17 Output part 18 Weight coefficient determination part 19 Start and end point Traffic calculation unit 20 Storage unit 100 Start / end traffic calculation device 200 Traffic simulator

Claims (7)

In the start / end point traffic calculation device that calculates the start / end point traffic of the vehicle from the start point region to the end point region using at least one of the uplink information or the car start / end point survey,
First acquisition means for acquiring a first traffic volume based on uplink information of a plurality of vehicles received via a plurality of road devices;
A second acquisition means for acquiring a second traffic volume based on a vehicle start / end survey;
Weight coefficient acquisition means for acquiring a weight coefficient determined based on the number of installed on-road devices installed in the start area and / or the end area;
The first starting point / ending point traffic volume acquired by the first acquiring unit and the second acquiring unit and the second starting point / end point traffic volume are weighted and averaged by the weighting factor acquired by the weighting factor acquiring unit, and then the starting point region to the ending point region. A start / end point traffic volume calculating device for calculating the start / end point traffic amount to the start / end point traffic amount calculating means. The weighting factor is
According to the size of the installation density of the roadside devices installed in the starting point area and / or the end point area,
The starting and ending traffic volume calculating means is:
The starting and ending traffic volume is calculated by the first starting and ending traffic volume x the weighting factor + the second starting and ending traffic volume x (1-the weighting factor). The origin / endpoint traffic volume calculation apparatus according to 1. The weighting factor is
When the installation density in the starting point area and the ending point area are both less than a predetermined density threshold, the first coefficient value is set.
When the installation density of one of the start area or the end area is equal to or higher than a predetermined density threshold, the second coefficient value is larger than the first coefficient value,
3. The configuration according to claim 2, wherein a third coefficient value larger than the second coefficient value is configured when both the installation density in the start point area and the end point area are equal to or greater than a predetermined density threshold value. Starting and ending traffic volume calculation device. A traveling route specifying means for dividing the uplink information for each vehicle and specifying a traveling route including a starting point and an ending point of the vehicle;
First calculating means for calculating a first starting and ending traffic volume based on the number of vehicles including the starting point and the ending point specified by the travel route specifying means in the starting point area and the ending point area;
The first acquisition means includes
The start / end point traffic calculation device according to claim 1, wherein the first start / end point traffic calculated by the first calculation means is acquired. . A second starting and ending traffic volume is calculated based on relevant information that predetermines a relationship between the traffic volume in the target area of the vehicle start and end point survey and the traffic volume in the starting and end point areas included in the target area. 2 calculation means,
The second acquisition means includes
The start / end point traffic volume calculation device according to any one of claims 1 to 4, wherein the second start / end point traffic volume calculated by the second calculation means is acquired. .   6. A traffic simulator characterized in that the starting and ending traffic volume calculated by the starting and ending traffic volume calculating device according to any one of claims 1 to 5 is used as input data. In the start / end point traffic calculation method by the start / end point traffic calculation device that calculates the start / end point traffic of the vehicle from the start point region to the end point region using at least one of the uplink information or the car start / end point survey,
Acquiring a first traffic volume based on uplink information of a plurality of vehicles received via a plurality of road devices;
Obtaining a second traffic volume based on the vehicle traffic survey;
Acquiring a weighting factor determined based on the number of installed roadside devices installed in the starting point area and / or the ending point region by a weighting factor acquiring unit;
Calculating a start / end point traffic volume from the start point region to the end point region by a weighted average with the acquired first start / end point traffic volume, the second start / end point traffic amount, and a weighting factor; The starting and ending traffic volume calculation method characterized by including.

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