Hitachi, Ltd.

Clarion Co

Xanavi Informatics Corporation

Takayoshi Yokota

Takumi Fushiki

Kenichiro Yamane

Masatoshi Kumagai

Kazuya Kimita

Shigeru Matsuo

Yoshinori Endo

Kimiyoshi Machii

Junsuke Fujiwara

Nobuhiro Hamada

Takeshi Inoue

Tomoaki Hiruta

Keisuke Bekki

Kazuhiro Okada

Kimiya Yamaashi

Yukihiro Kawamata

Koichiro Tanikoshi

Mikio Bando

Toshiyuki Aoki

Masato Horita

Yasuo Morooka

Kenji Baba

Takashi Nakahara

Junzo Kawakami

Kazunori Takahashi

Hiroyuki Kohida

Hideo Hiroshige

Masao Takato

Tooru Nagai

Seiji Ukai

Zhixing Liu

Kennichirou Yamane

Takumi Tushiki

Ryuji Kiyokawa

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.

Position estimation device and position estimation method

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.

Position detection apparatus and position detection program

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.

Incident resolution judgment system

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.

Traffic information providing system and car navigation system

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.

Traffic information system based on travel history

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.

Display method of navi-server and navigation

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.

Traffic information estimating system

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.

Traffic information prediction device with day-factors and day factor classifications

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.

Traffic information prediction system

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.

Vehicle information collection system and method thereof

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.

Broadcasting system, broadcast receiving hardware systems, and navigation terminal

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.

Method of presuming traffic conditions by using floating car data and system for presuming and presenting traffic conditions by using floating data

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Hitachiota, Japan

Takayoshi Yokota