Abstract: An analysis support method is performed by an analysis support device that supports an analysis of an attack scenario in an event that has occurred in a monitored object, and the analysis is performed based on raw data related to the event. The analysis support method includes: obtaining the raw data by communicating with the monitored object or communicating with a database that stores the raw data obtained from the monitored object; and outputting a previous analysis result for previously obtained raw data that is similar to the raw data obtained.

Abstract: An information processing system includes a pre-processor that obtains input data; a model processor that obtains output data by inputting the input data to part of a machine learning model, and outputs the output data; and a post-processor which obtains the output data from the model processor, and executes post-processing using the output data. The model processor obtains data indicating a feature as the output data, the data being data output from the part of the machine learning model for the input data and being obtained in the middle of the prediction performed by the data. The post-processor identifies the result of the prediction performed by the machine learning model by inputting the output data to a remaining part of the machine learning model, and executes post-processing on the result of the prediction.

Abstract: A method includes acquiring starting position information of moving bodies; acquiring destination position information of movement destinations; acquiring path information indicating paths on which the moving bodies can move; calculating, for each moving body, a minimum movement amount required for the moving body to move on a path from the starting position to each movement destination, based on the starting position information, the destination position information, and the path information; allocating a movement destination not allocated to any moving body to a moving body that has a minimum movement amount being the smallest of the minimum movement amounts and that has no allocation of any movement destination; further allocating, when there is a movement destination not allocated to the moving body on a movement route, the not-allocated movement destination to the allocated moving body; and determining movement routes of the moving bodies based on the allocation.

Abstract: A method includes acquiring starting position information of moving bodies; acquiring destination position information of movement destinations; acquiring path information indicating paths on which the moving bodies can move; calculating, for each moving body, a minimum movement amount required for the moving body to move on a path from the starting position to each movement destination, based on the starting position information, the destination position information, and the path information; allocating a movement destination not allocated to any moving body to a moving body that has a minimum movement amount being the smallest of the minimum movement amounts and that has no allocation of any movement destination; further allocating, when there is a movement destination not allocated to the moving body on a movement route, the not-allocated movement destination to the allocated moving body; and determining movement routes of the moving bodies based on the allocation.

Abstract: A position estimation device includes: a mathematical expression model processing unit that calculates a position of a mobile object, a condition quantity indicating a moving condition of the mobile object and an error in the condition quantity through filtering processing executed by using a probability model based upon an attitude information and a positioning information of the mobile object having been obtained from sensors and a specific mathematical expression model among a plurality of mathematical expression models expressing behavior of the mobile object; a threshold calculation unit that calculates a threshold candidate value for a threshold value to be used as a criterion when selecting the specific mathematical expression model, by using the error; a threshold value determining unit that determines the threshold value based upon the threshold candidate value; and a mathematical expression model selection unit that selects the specific mathematical expression model based upon the threshold value.

Abstract: A position detection apparatus includes a storage unit for storing map information including road information; a detection unit for detecting information for calculating an absolute position of a moving object; a position calculation unit for calculating the absolute position of the moving object and an error variance relating to an error of the moving object from the detected information; a read-out unit for reading out from the storage unit the road information of a road relating to the calculated absolute position; an existence probability calculation unit for calculating an existence probability of the moving object existing on the road from the absolute position, the error variance, and the read-out road information; a selection unit for selecting a position whose existence probability is maximum out of the calculated existence probability; and a map-matching processing unit for making the selected position a position of the moving object on the road.

Abstract: An incident resolution judgment system and method are provided which reduce processing load on a traffic information center included in an incident detection system. When an incident occurs, the traffic information center generates an incident resolution judgment condition, which is used by each vehicle to judge whether the incident is resolved, and transmits the generated incident resolution judgment condition to each vehicle. Each vehicle judges in accordance with its travel history information and the received incident resolution judgment condition whether the incident is resolved. When the incident is judged to be resolved, each vehicle notifies the traffic information center that the incident is resolved. In accordance with incident resolution detection results produced by a plurality of vehicles, the traffic information center forms a final judgment to indicate that the incident is actually resolved and notifies each vehicle of incident resolution.

Abstract: A traffic information providing system externally acquires traffic information including information relating to the travel time of a link, calculates a travel time for a non-provision link to which no travel time is provided through estimate/complement operation. The estimate/complement operation is carried out with use of travel times, emergencies, travel times of links in the vicinity of the non-provision link, and so on, obtained in the near past. The system stores and statistically processes the externally-acquired traffic information, and also estimates a travel time in the near future. When there is an abnormality in the acquired traffic information, the system deletes the abnormality, regards the information as a non-provision link, calculates a probability distribution of travel times of links, calculates a probability distribution of travel times of the entire route made up of a plurality of links, and also calculates a probability for a specific travel time range.

Abstract: A position estimation device includes: a mathematical expression model processing unit that calculates a position of a mobile object, a condition quantity indicating a moving condition of the mobile object and an error in the condition quantity through filtering processing executed by using a probability model based upon an attitude information and a positioning information of the mobile object having been obtained from sensors and a specific mathematical expression model among a plurality of mathematical expression models expressing behavior of the mobile object; a threshold calculation unit that calculates a threshold candidate value for a threshold value to be used as a criterion when selecting the specific mathematical expression model, by using the error; a threshold value determining unit that determines the threshold value based upon the threshold candidate value; and a mathematical expression model selection unit that selects the specific mathematical expression model based upon the threshold value.

Abstract: A traffic information system including a travel history database retaining the data on the travel history of vehicle measured at a constant temporal or running interval; a link cost weighting pattern database for storing patterns for weighting the link costs of road links, used in the determination of the travel paths of vehicles; a vehicle ID/link cost weighting pattern set database retaining the data representing the matching of the vehicle IDs with their associated link cost weighting patterns used to determine the travel paths of the vehicles; a link cost weighting pattern selection unit selecting the patterns for weighting the link costs used to determine the travel paths of the vehicles on the basis of the vehicle IDs; and a vehicle ID/link cost weighting pattern matching unit recording the data representing the matching of the vehicle IDs with their associated link cost weighting patterns.

Abstract: A navi-server which is provided with information from a traffic information providing center, and presents and provides information made on the information to a terminal is characterized by being equipped with a first storage means storing the information provided from the traffic information providing center; a traffic jam statistical making means which makes traffic jam statistical information including traffic jam information in a predetermined point and a predetermined zone as well as a reliability of the traffic jam information, based on information stored in the first storage means; and a second storage means storing information made by the traffic jam statistical making means, wherein the navi-server presents and provides the information stored in the second storage means to the terminal, based on a request of the terminal and at a predetermined timing.

Abstract: A traffic information providing system externally acquires traffic information including information relating to the travel time of a link, calculates a travel time for a non-provision link to which no travel time is provided through estimate/complement operation. The estimate/complement operation is carried out with use of travel times, emergencies, travel times of links in the vicinity of the non-provision link, and so on, obtained in the near past. The system stores and statistically processes the externally-acquired traffic information, and also estimates a travel time in the near future. When there is an abnormality in the acquired traffic information, the system deletes the abnormality, regards the information as a non-provision link, calculates a probability distribution of travel times of links, calculates a probability distribution of travel times of the entire route made up of a plurality of links, and also calculates a probability for a specific travel time range.

Abstract: A traffic information system includes: a past information database for storing past information, which is collected for road links in a predetermined area, of a past mobile object on a road; a current information database for storing running information, which is collected for the road links in the predetermined area, of a current mobile object; link correlation analyzing means in which correlations of traffic information among each road link in the predetermined area are calculated from the past information stored in the past information database, and output as link correlation information among the road links; combination calculating means for calculating weighting information for obtaining the current information as a sum of the link correlation information; and traffic information estimating means for calculating estimated traffic information for a link where the current information is not collected based on the link correlation information and the weighting information.

Abstract: A traffic information providing system externally acquires traffic information including information relating to the travel time of a link, calculates a travel time for a non-provision link to which no travel time is provided through estimate/complement operation. The estimate/complement operation is carried out with use of travel times, emergencies, travel times of links in the vicinity of the non-provision link, and so on, obtained in the near past. The system stores and statistically processes the externally-acquired traffic information, and also estimates a travel time in the near future. When there is an abnormality in the acquired traffic information, the system deletes the abnormality, regards the information as a non-provision link, calculates a probability distribution of travel times of links, calculates a probability distribution of travel times of the entire route made up of a plurality of links, and also calculates a probability for a specific travel time range.

Abstract: A position detection apparatus includes a storage unit for storing map information including road information; a detection unit for detecting information for calculating an absolute position of a moving object; a position calculation unit for calculating the absolute position of the moving object and an error variance relating to an error of the moving object from the detected information; a read-out unit for reading out from the storage unit the road information of a road relating to the calculated absolute position; an existence probability calculation unit for calculating an existence probability of the moving object existing on the road from the absolute position, the error variance, and the read-out road information; a selection unit for selecting a position whose existence probability is maximum out of the calculated existence probability; and a map-matching processing unit for making the selected position a position of the moving object on the road.

Abstract: There is provided a prediction calculation system capable of allowing a numerical traffic information to be predicted in such a manner that day factors and the like are reflected thereon. Even if a day whose combination of the day factors is the same as that of a prediction-target day, i.e., a day with the same instance, does not exist within a time-period during which past traffic information has been accumulated, the prediction calculation unit merges the past traffic information appropriately, thereby predicting traffic information corresponding to the objective combination of the day factors. Concretely, the prediction calculation unit combines some of characteristic quantities of the past traffic information on a day-unit basis, thereby approximately reconstructing and predicting the instance.

Abstract: In a congestion prediction using measurement data which is acquired by an on-road sensor or a probe car, and which includes none of explicit information about bottleneck points, with respect to time-sequence data on congestion ranges accumulated in the past, data on congestion front-end positions are summarized into plural clusters by the clustering. Representative value in each cluster is assumed as position of each bottleneck. A regression analysis, in which day factors are defined as independent variables, is performed with congestion length from each bottleneck point selected as the target. Here, the day factors refer to factors such as day of the week, national holiday/etc. It then becomes possible to precisely predict a future congestion length.

Abstract: A traffic information system includes: a past information database for storing past information, which is collected for road links in a predetermined area, of a past mobile object on a road; a current information database for storing running information, which is collected for the road links in the predetermined area, of a current mobile object; link correlation analyzing means in which correlations of traffic information among each road link in the predetermined area are calculated from the past information stored in the past information database, and output as link correlation information among the road links; combination calculating means for calculating weighting information for obtaining the current information as a sum of the link correlation information; and traffic information estimating means for calculating estimated traffic information for a link where the current information is not collected based on the link correlation information and the weighting information.

Abstract: A traffic information system includes: a past information database for storing past information, which is collected for road links in a predetermined area, of a past mobile object on a road; a current information database for storing running information, which is collected for the road links in the predetermined area, of a current mobile object; link correlation analyzing means in which correlations of traffic information among each road link in the predetermined area are calculated from the past information stored in the past information database, and output as link correlation information among the road links; combination calculating means for calculating weighting information for obtaining the current information as a sum of the link correlation information; and traffic information estimating means for calculating estimated traffic information for a link where the current information is not collected based on the link correlation information and the weighting information.

Abstract: An object of the present invention is to provide a traffic information system that detects an unexpected incident such as a traffic accident or construction work from traffic information about surrounding road links. Historical traffic information is used to perform component analysis for a group of links that are targets of unexpected incident detection, and recovered traffic information for the historical traffic information is determined from computed top bases of the traffic information about the group of links. Difference statistical traffic information is generated from the difference between the historical traffic information and its recovered traffic information. For real-time traffic information, recovered traffic information for the real-time traffic information is determined from the top bases.