JP-7856848-B2 - Data Complementation System

JP7856848B2JP 7856848 B2JP7856848 B2JP 7856848B2JP-7856848-B2

Inventors

赤塚裕人
寺田雅之

Assignees

株式会社ＮＴＴドコモ

Dates

Publication Date: 20260511
Application Date: 20231225
Priority Date: 20230330

Claims (4)

A supplementary data acquisition unit acquires traffic data that is related to traffic at multiple locations along a traffic route, as well as traffic data that is to be supplemented. A status information acquisition unit that acquires status information indicating the state of the traffic road, A supplementation unit that supplements traffic data acquired by the supplementation target acquisition unit according to the state information acquired by the state information acquisition unit, Equipped with , The status information acquisition unit is a data supplementation system that acquires information indicating the location of facilities present in the traffic route as status information .
A supplementary data acquisition unit acquires traffic data that is related to traffic at multiple locations along a traffic route, as well as traffic data that is to be supplemented. A status information acquisition unit that acquires status information indicating the state of the traffic road, A supplementation unit that supplements traffic data acquired by the supplementation target acquisition unit according to the state information acquired by the state information acquisition unit, Equipped with , The aforementioned interpolation unit is a data interpolation system that, in accordance with the state information, determines which direction of data of the traffic route to use for interpolation, based on the position of the object to be interpolated in the traffic data .
A supplementary data acquisition unit acquires traffic data that is related to traffic at multiple locations along a traffic route, as well as traffic data that is to be supplemented. A status information acquisition unit that acquires status information indicating the state of the traffic road, A supplementation unit that supplements traffic data acquired by the supplementation target acquisition unit according to the state information acquired by the state information acquisition unit, Equipped with , The aforementioned supplementary target acquisition unit acquires the traffic data for multiple time intervals, The aforementioned supplementation unit is a data supplementation system that determines, according to the status information, whether to supplement the traffic data in the direction of the traffic route or in the direction of time .
The data supplementation system according to claim 1, wherein the supplementation target acquisition unit acquires the traffic data, which is traffic volume or speed data for multiple locations along a traffic route.

Description

This invention relates to a data completion system for supplementing traffic data. Patent Document 1 describes a method for imputing missing data when there are gaps in time-series data on the number of vehicles traveling on a road. It states that data from a different location is used for imputing the missing data. Japanese Patent Publication No. 2017-27515 This figure shows the configuration of a data completion system according to an embodiment of the present invention.This figure shows examples of traffic data that are supplemented by the data supplementation system, as well as examples of the supplemented traffic data.This figure shows traffic data (speed data) before and after interpolation, and an example of the travel time for a road section calculated using that traffic data.This figure shows traffic data (speed data) before and after interpolation, and another example of the travel time for a road section calculated using that traffic data.This flowchart shows the process performed by the data completion system according to an embodiment of the present invention.This figure shows the hardware configuration of a data completion system according to an embodiment of the present invention. The embodiments of the data completion system according to the present invention will be described in detail below with reference to the drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant explanations are omitted. Figure 1 shows the data completion system 10 according to this embodiment. The data completion system 10 is a system (device) that completes traffic data, which is traffic-related data. The traffic data to be completed is traffic-related data for multiple locations on a traffic route. The traffic data may also be data for multiple time periods. In this embodiment, the traffic data is traffic volume or speed data for multiple locations on a traffic route. Traffic volume is, for example, the number of vehicles traveling at each time period (time) and location on the road (traffic route). Speed is the speed of vehicles traveling at each time period (time) and location on the road (traffic route) (for example, average speed). Figure 2 shows examples of the traffic data to be supplemented 20 (a collective term for traffic data 20a and 20b) and the supplemented traffic data 30 (a collective term for traffic data 30a and 30b). Traffic data 20a and 20b are traffic volume data. Traffic data 30a and 30b are speed data. In the graphs of traffic data 20 and 30 shown in Figure 2, the horizontal axis represents the location on the road, and the vertical axis represents the time. The traffic data 20 and 30 shown in Figure 2 are traffic data for multiple locations and times on the road. Traffic data 20 and 30 are data for each pre-set location where data (traffic volume, speed) is measured. Each location is represented as XKP, where X is the distance from a pre-set reference point on the road, which is 0KP (kilometer post). Traffic data 20 and 30 are time-based data. For example, traffic data 20 and 30 are data for pre-set fixed intervals (e.g., every 5 minutes). Each value in traffic data 20 represents the traffic volume over a 5-minute period. Each value in traffic data 30 represents the speed (average speed) over a 5-minute period. Figure 2 shows traffic data 20 and 30, represented as a heatmap of the daily data for each location. The augmented traffic data 30 may be used, for example, in AI (artificial intelligence) traffic congestion prediction technology. The number of people visiting tourist destinations, etc., can influence traffic conditions, such as whether and how large the congestion will be on the return journey. Therefore, it is conceivable to predict traffic conditions from real-time population data (demographic information) for each area. For example, the population for the day can be applied to a traffic condition prediction model that has learned and patterned the relationship between population and traffic conditions to predict traffic conditions during the return journey. The traffic condition prediction model may include, for example, a traffic demand prediction model that predicts the traffic demand for each location and time based on the population distribution for the day, and a travel time prediction model that predicts the travel time for each section of the road for each location and time based on the traffic demand for the day. The augmented traffic data 30 may be used as ground truth data for machine learning to generate the traffic condition prediction model. Data is measured, for example, by traffic counters. Traffic counters obtain data from sensors physically installed on the road. Therefore, data loss can occur due to malfunctions or failures of the equipment. Data loss can range from large-scale to small-scale, including complete loss of data for a particular KP location, loss of data for all KP locations during a cer