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: A route searching method is provided which allows drivers having mutually similar traveling purposes and preferences to find highly convenient routes by sharing their route searching know-how. A center apparatus (1) collects probe data received from an in-vehicle terminal apparatus (5). A preference parameter creating unit (14) calculates, based on the probe data, road usage frequencies according to preference items such as vehicle type, driver age and gender, and travel purpose which can be factors for route selection and stores the calculated road usage frequencies as preference parameters in a preference parameter database (15). A route searching unit (513) included in the in-vehicle terminal apparatus (5) requests the center apparatus (1) to transmit a preference parameter similar to user attribute information (519), adjusts link costs according to the preference parameter received from the center apparatus, and determines a minimum-cost route to a destination.

Abstract: A route to a destination in which required travel time barely varies depending on weather is searched for without referring to weather forecast or weather information.

Abstract: There is provided a method and a device for accurately estimating traffic information of a link having no traffic information even if different types of roads are mixed. The device finds a parameter characterizing a damping curve of a quantity of change of relative speed based on stored traffic information for links on a city center side on a minimum-time cost route connecting the city center and suburbs, finds a quantity of change of relative speed of the link having no observed traffic information and estimates its traffic information based on the damping curve. The device also calculates a ratio of quantities of change of relative speed of two links whose road types change as a speed change similarity ratio and estimates traffic information of the link of a second road type from known traffic information of the link of a first road type by using that ratio.

Abstract: The in-vehicle terminal includes an additional link database where link data including a temporary link ID (Identification) before being given by a server and established by an authorization device; a new and old link IDs database where a new and old link IDs table is saved wherein an established link ID of a link ID after being authorized by the authorization device and the temporary link ID are made to correspond to each other; a transmitting and receiving unit for transmitting traffic information data including the established link ID; and a processing unit for acquiring the established link ID included in the traffic information data, referring to the new and old link IDs table stored in the new and old link IDs database, acquiring the temporary link ID made to correspond to the established link ID, and based on the temporary link ID, acquiring link data from the additional link database.

Abstract: A traffic information system includes: a past information database for storing past information, which is colleted 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 colleted 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: 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 prediction system has a traffic information database for recording time sequential data of traffic information and a traffic condition change factor database for recording the location, time period and type of an event which may change traffic conditions. The time period and location of the change are detected from data distributions of the traffic information, the change being unable to be explained even by day factor information such as days of the week, seasons and commercial calendar, and weather information. An event having a relatively shorter temporal and spatial distance from the detection results is searched from the traffic condition change factor database. The traffic information prediction system can detect an occurrence of an event changing the traffic conditions and its influence area.

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: 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 method of presuming traffic conditions for implementing a forecast and a presumption of traffic jam situation in an area where probe cars are not traveling currently, in which the probe cars send floating car data that is times and positions of traveled areas to center facilities, and the center accumulates the floating car data in a floating car data database by traffic conditions presumption means and also presumes forecast traffic jam information in the forward areas of the probe cars and presumed traffic jam information in the backward areas thereof by using the current floating car data and the floating car data database accumulated from the past to the present.

Abstract: To ensure that of all information transmitted through broadcast communications, only the information corresponding to the traveling route of a mobile body will be efficiently displayed at the information terminal of a car navigation system or the like, the information terminal is provided with:

Abstract: To ensure that of all information transmitted through broadcast communications, only the information corresponding to the traveling route of a mobile body will be efficiently displayed at the information terminal of a car navigation system or the like, the information terminal is provided with: a means for receiving the spot or area information being transmitted, and receiving information that has been linked to the spot or area information being transmitted, a means for judging whether the spot or area information that has been received above is included in part of the spot or area information corresponding to the traveling route of the mobile body, and storage media for retaining the received spot or area information that the above-mentioned judgment means has judged to be included in the spot or area information corresponding to the traveling route of the mobile body.

Abstract: It is possible to control a car group having a probe car at the head thereof or a whole traffic flow including the car group, with due regard to the efficiency, safety and environment. A probe car system includes a device for inputting a control strategy and/or a car group strategy, based on a road map database or traffic data; a device for evaluating propriety of the strategy and determining a proper strategy; and a device for transmitting the proper strategy to the probe car.

Abstract: A method of presuming traffic conditions for implementing a forecast and a presumption of traffic jam situation in an area where probe cars are not traveling currently, in which the probe cars send floating car data that is times and positions of traveled areas to center facilities, and the center accumulates the floating car data in a floating car data database by traffic conditions presumption means and also presumes forecast traffic jam information in the forward areas of the probe cars and presumed traffic jam information in the backward areas thereof by using the current floating car data and the floating car data database accumulated from the past to the present.

Abstract: A vehicle information specification determining function is built in the on-board terminal installed on a vehicle to determine the specification for vehicle information collection. An information center determines service charges according to the vehicle information specification determined by the vehicle information specification determining function.

Abstract: It is possible to control a car group having a probe car at the head thereof or a whole traffic flow including the car group, with due regard to the efficiency, safety and environment. A probe car system includes a device for inputting a control strategy and/or a car group strategy, based on a road map database or traffic data; a device for evaluating propriety of the strategy and determining a proper strategy; and a device for transmitting the proper strategy to the probe car.