Hitachi, Ltd.

Clarion Co

Xanavi Informatics Corporation

Takumi Fushiki

Takayoshi Yokota

Kenichiro Yamane

Masatoshi Kumagai

Toshiaki Kono

Kazuya Kimita

Junsuke Fujiwara

Yoshinori Endo

Takeshi Inoue

Kimiya Yamaashi

Yukihiro Kawamata

Shinichi Amaya

Masato Horita

Manabu Kato

Shigeru Matsuo

Mariko Okude

Tomoaki Hiruta

Kimiyoshi Machii

Koichiro Tanikoshi

Kazuki Hashimoto

Susumu Hasegawa

Kenji Oguma

Hideo Hiroshige

Seiji Ukai

A navigation system having a central device which uses a link shape compression unit to compress information of altitude changes of a road link obtained from a three-dimensional road map, and calculates a geometry parameter based on variation of energy of a vehicle travelling on the road link. An on-board terminal device estimates the vehicle's average travelling pattern by using a travel-pattern-estimation unit based on the geometry parameter calculated by the central device, a link-travelling time estimated from statistically-stored traffic information, and a link length. The on-board terminal device further calculates fuel consumption of the vehicle travelling on each road link based on the estimated travelling pattern and parameters of the vehicle by using a fuel-consumption calculation unit, and then, searches a fuel-efficient route by using the fuel consumption as a link cost. The on-board terminal device has a vehicle-type selector for selecting a type of the vehicle.

Navigation system and navigation method of route planning using variations of mechanical energy

An object of the invention is to predict energy consumptions of a vehicle, using geographic characteristic values which are independent from particular driving patterns and vehicle parameters and unique to respective links. A navigation server predicts energies which are consumed when a vehicle runs on links. The navigation server calculates geographic characteristic values of respective links, the geography of the each link affecting the consumption energy with the geographic characteristic values, the calculation being based on energy consumptions collected from probe vehicles, and calculates predicted energy consumption of each link selected as a processing target, based on the geographic characteristic values. A navigation terminal obtains these predicted energy consumptions and performs route search with the obtained predicted energy consumptions as costs.

Method of predicting energy consumption, apparatus for predicting energy consumption, and terminal apparatus

A navigation device includes: a position detecting unit; a remaining energy level detecting unit; a storage unit that stores map information including position information of a charging point of a drive energy; an energy consumption amount calculation unit that calculates a consumption amount of the drive energy when a vehicle travels along any link included based upon the map information; a route calculation unit that calculates a route from a current position to a destination point; and a route guidance unit. The route calculation unit calculates a recommended route with a minimum attainment cost among routes in which the remaining level does not fall below a predetermined threshold level based upon the map information, the remaining level on departure of the vehicle detected by the remaining energy level detecting unit, and the consumption amount calculated by the energy consumption amount calculation unit.

Navigation device and method for route calculation

A statistic DB creation processing section creates a statistic traffic DB, based on past actual traffic data (probe DB or VICS DB), and stores it in a statistic DB storage section. A reference-link-candidate extraction processing section extracts a complement target link (temporal missing link) from the statistic traffic DB, and further extracts complementary-reference-link-candidates for the complement target link, according to plural extraction rules to extract complementary-reference-link-candidates. A complement-evaluation application processing section calculates correlation coefficients of the statistic traffic data of the complementary-reference-link-candidates to the statistic traffic data of the complement target link for the respective extraction rules, assigns a priority order to the extraction rules in the order of higher correlation coefficient, and complements the missing data of the statistic traffic data of the complement target link by the use of the statistic traffic data of the complementary reference link extracted by the extraction rule of the highest priority.

Apparatus and method for generating statistic traffic information

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 () collects probe data received from an in-vehicle terminal apparatus (). A preference parameter creating unit () 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 (). A route searching unit () included in the in-vehicle terminal apparatus () requests the center apparatus () to transmit a preference parameter similar to user attribute information (), adjusts link costs according to the preference parameter received from the center apparatus, and determines a minimum-cost route to a destination.

Method and system for route searching, and navigation apparatus using the same

A car navigation system solves the problem that the emission test cycle fuel consumption rate indicates the energy consumption per unit distance covered following a prescribed emission test cycle procedure, and therefore, cannot produce a highly accurate prediction value reflecting the landform and the traffics along a route. So, the test cycle characteristic values independent of the vehicle model for vehicle energy consumption in a specified running condition are calculated, and the vehicle energy consumption parameter of the engine or the motor is estimated from the basic vehicle specifications such as the vehicle weight, the power supply type, the emission test cycle fuel consumption rate, the test cycle characteristic values in the emission test cycle and the vehicle characteristics. Using the basic vehicle specifications and the energy consumption parameter, the energy consumption is predicted taking the landform and traffics into consideration.

Car navigation system

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. A route search device comprises following means: a storage medium for storing traffic information including travel times by weather conditions for each link comprising a road on a map; a pointing device which sets a starting point and a destination; a weather condition-based route search module that determines the shortest travel time route from the starting point to the destination by weather conditions using the traffic information stored in the storage medium; a link series-identifying module that extracts link series which vary with weather conditions from link series comprising the shortest travel time route determined by the weather condition-based route search module, determines the required travel time by weather conditions for the each link series that vary with weather conditions by using the traffic information stored in the storage medium, and identifies a link series whose required travel time barely varies depending on weather conditions; and a link series-registering medium that registers the link series identified by the link series-identifying module as a link series comprising a guide route from the starting point to the destination.

Route search device and route search method

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.

Method of estimation of traffic information, device of estimation of traffic information and car navigation device

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

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.

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Hitachi, Japan

Takumi Fushiki