JP2005241333A - On-vehicle navigation device and traveling time prediction method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an on-vehicle navigation device capable of improving traveling time prediction accuracy by assigning weights to a plurality of traveling times of the past in relation to conditions such as a current date and time when running. <P>SOLUTION: A driver inputs a departure place and destination with operation keys and the device confirms whether the same route was traveled or not (steps S1 and S2). Then, the device checks if data on the same time, date, and weather exists, and if so, the data is sent to a CPU (steps S4 to S9). The obtained data is weighted (step S10), and the estimated prediction time is displayed on a display part (step S11). <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an in-vehicle navigation device that improves the accuracy of travel time prediction.

  Navigation devices installed in recent automobiles determine the position of the vehicle based on a global positioning system (GPS) that can be measured with low cost and high accuracy, and a road map in the vicinity of the vehicle position. Is read from a large-capacity ROM (Read Only Memory), and the vehicle position is displayed together with map information on an LCD (Liquid Crystal Display). Then, when the user sets the destination point, the shortest time path to the destination point is calculated based on the current position obtained by the GPS and displayed on the display map of the LCD.

  By the way, in the conventional vehicle-mounted navigation system, the shortest time to the destination is calculated based on the distance on the map of the route and the information on the regulation speed. However, the actual time to reach the destination varies depending on traffic conditions, time zones, etc., and is expected to be displayed even when traveling on the shortest route searched by the navigation device. There are many cases where the destination is not reached in the travel time. In addition, there is a traffic jam in the searched route, and it may arrive at the destination sooner if you travel on another route that is not the shortest, such as the distance on the map and the type of road (general road or highway) etc. It is difficult to predict the required time to the destination only from the information on the regulation speed.

For example, Patent Document 1 discloses a technique for predicting a travel time based on past travel information.
However, the above-described in-vehicle navigation device searches for travel information based on conditions such as the day of the week (whether it is a weekday or a holiday), time zone, etc., but the travel information is different on the same route. When there is a plurality, there is a problem that it is not clear which one is selected to calculate the travel time, and an accurate prediction of the travel time cannot be expected.
JP-A-10-132593

  The present invention has been made in consideration of the above circumstances, and its purpose is that when there are a plurality of data such as the required time when traveling on the same route in the past, the day of the week on which the vehicle is currently traveling, the time zone, etc. It is an object of the present invention to provide an in-vehicle navigation device and a traveling time prediction method that can improve the accuracy of predicted traveling time by weighting past traveling data.

In order to achieve the above object, the present invention proposes the following means.
The invention according to claim 1 is a vehicle-mounted navigation device that sets a route to the destination based on the current position of the vehicle and the destination input by the driver, and performs guidance along the set route. Writing means for sequentially writing position information of the passing route, traveling time and traveling conditions of the passing route to the storing means as traveling data when the vehicle is traveling, and part or all of the set route when the route is set A search unit that searches the storage unit for a route that matches, and a running time calculation that performs weighting on the travel time related to the searched route based on the travel condition related to the route and calculates the expected travel time according to the weighting result Means.
According to the present invention, the vehicle-mounted navigation device always stores the history of the route of the vehicle, and when the driver sets the destination, the weight of the degree of matching of the conditions is compared with a plurality of past routes. Thus, since the travel time prediction process is performed, it is possible to make a prediction with high accuracy.

The invention according to claim 2 is the in-vehicle navigation device according to claim 1, wherein the travel conditions are a travel day, a travel time zone, and weather.
According to the present invention, since the travel time is predicted based on the day of the week, the time zone, and the weather on which the travel time has a high factor that affects the travel time, more accurate prediction can be performed.

The invention according to claim 3 is the in-vehicle navigation device according to claim 1 or 2, wherein the travel time calculation means includes a plurality of the travel data in which the travel conditions are the same in the storage means. If it exists, the estimated travel time is further calculated by weighting based on the newness of the travel data.
According to the present invention, the in-vehicle navigation device uses a plurality of travel data when traveling in the past under the same conditions on the currently traveling route according to the new and old conditions to predict the travel time. It becomes possible.

The invention according to claim 4 is an in-vehicle navigation device that sets a route to the destination based on the current position of the vehicle and the destination input by the driver, and guides along the set route. Thus, when the vehicle travels, the travel time prediction method sequentially writes the position information of the passage route, the travel time of the passage route, and the travel condition in the storage means, and when a new route is set, A part or all of the same route is searched from the storage means, the travel time related to the searched route is weighted based on the travel conditions related to the route, and the expected travel time is calculated according to the weighting result. And
According to the present invention, in the in-vehicle navigation device, the history of the route of the vehicle is always stored, and when the driver sets the destination, the traveling time prediction method compares the history with a plurality of past routes. Since the travel time prediction process is performed by weighting the degree of coincidence, it is possible to perform accurate prediction.

  According to the present invention, since the travel time is predicted by weighting the past travel data with respect to the conditions such as the day of the week on which the vehicle is currently traveling, the time zone, etc., the accuracy of the predicted travel time can be improved. There is an effect that can.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
FIG. 2 is a block diagram showing the configuration of the in-vehicle navigation device according to the embodiment. In this figure, a vehicle-mounted navigation device includes a CPU (Central Processing Unit) 1 (writing means, searching means, travel time calculating means), ROM (Read Only Memory) 2, and RAM (Random Access Memory) 3 (memory). Means), a GPS receiver 4, an operation key unit 5, a display unit 6, a bus line 7, and a traveling state detection unit 8. The CPU 1 executes various control programs and controls the operation of each part of the in-vehicle navigation device.

The ROM 2 stores navigation and running time prediction programs executed by the CPU 1 and weighting tables shown in FIGS. 3 (a) and 3 (b). The weighting table shown in FIG. 3A is weighted for each time zone, day of the week (weekday or holiday), and weather (sunny or rainy). In the weighting table shown in FIG. 3B, a plurality of pieces of traveling data that differ only in the data freshness under the same conditions are weighted for each data freshness.
The RAM 3 is set with a work area of the CPU 1, a destination information input by the user, a storage area for information on a history of passing vehicles, and the like.

  The GPS receiver 4 receives signals transmitted from a plurality of GPS satellites constituting the GPS by a connected GPS antenna 4a, demodulates the signals received from the GPS satellites, and based on the demodulated signals, the navigation device Is calculated, and the position information (latitude / longitude) is obtained. The process for calculating the current position is the same as the process performed in a conventional navigation system or the like.

  The operation key unit 5 includes various buttons (not shown) including alphanumeric buttons provided on the main body of the vehicle-mounted navigation device and an interface for outputting the operation state of each button to the CPU 1. The display unit 6 is a display unit including an LCD or the like, and displays map information, a predicted travel time, and a display corresponding to an operation of the operation key unit 6 under the control of the CPU 1. The traveling state detection unit 8 includes a clock / calendar function unit and a weather detection unit. The clock / calendar function unit obtains the current day of the week and time, etc., and the weather detection unit comprises a raindrop sensor and an illuminance sensor, and obtains weather such as “sunny” and “rain”. Each functional block exchanges data and commands via the bus line 7.

Next, the operation of the in-vehicle navigation device in this embodiment will be described.
First, the vehicle-mounted navigation device is powered on by the driver, and positioning is started by the GPS receiver 4 and the CPU 1. The position information of the vehicle obtained by positioning is processed by the CPU 1, and the vehicle position is displayed on the display unit 6 together with a map in the vicinity of the vehicle. Here, the driver operates the operation key unit 5 while looking at the display unit 6 of the vehicle-mounted navigation device, operates the automatic route search function, and inputs the destination. The vehicle-mounted navigation device searches for a plurality of routes to the input destination. Then, the travel time when traveling on each route is calculated based on the past travel data written in the RAM 3, and the calculated travel time and each route are displayed on the map of the display unit 6. The driver selects a plurality of routes predicted by the navigation device from the predicted travel time and the like. Thereafter, guidance is performed along the selected route. When the vehicle moves a predetermined distance, the position information before and after the movement and the traveling time between them are written in the RAM 3. Further, the running state (time, day of the week, weather, etc.) obtained by the running state detection unit 8 during running is written in the RAM 3 in association with the data. For example, as shown in FIG. 4, traveling data when traveling from the departure place A to the destination B is sequentially subdivided and stored in the RAM 3. The process of accumulating the travel data may be performed only when the route guidance is performed by the navigation device, but may be always performed as long as the positioning is performed.

  Next, the travel time prediction operation will be described with reference to FIG. In the present embodiment, it is assumed that the predicted route completely matches the route in the past travel data.

  First, when the destination is input and the route search is completed, the CPU 1 determines whether or not the vehicle has traveled on the same route as the searched route in the past (step S2). If the determination is “NO”, the predicted time is calculated based on the distance of the route and the regulation speed, the predicted time is displayed (step S3), and the travel time prediction process is terminated.

  If the determination in step S2 is "YES", that is, if the vehicle has traveled in the past on the same route as the predicted route between the input departure point and destination, the process proceeds to step S4. The travel time prediction operation performs the following processing.

  In step S4, the CPU 1 determines whether or not past travel data exists in the same time zone as the current travel state. If the determination is “YES”, the CPU 1 refers to the data (step S5) and proceeds to step S6. On the other hand, if the determination is “NO”, the process proceeds to step S6 without doing anything.

  Next, in step S6, the CPU 1 determines whether or not past travel data for the same day of the week as the current travel state exists. If the determination is “YES”, the CPU 1 refers to the data (step S7) and proceeds to step S8. On the other hand, if the determination is “NO”, the process proceeds to step S8 without doing anything.

  Next, in step S8, the CPU 1 determines whether past traveling data in the same weather as the current traveling state exists. If the determination is “YES”, the CPU 1 refers to the data (step S9) and proceeds to step S10. On the other hand, if the determination is “NO”, the process proceeds to step S10 without doing anything.

  Next, in step S10, based on the data referred to in steps S5, S7, and S9, weighting calculation described later is performed to calculate a predicted time. Next, the obtained predicted time is displayed on the display unit 6 (step S11), and the travel time prediction process is terminated. In this way, it is determined whether the vehicle has traveled the same route as the route between the input departure point and the destination in the past. The weighting is performed with reference to the data of each condition such as the weather, and the running time is predicted.

Next, the weighting process will be described.
An example in which weighting is performed with reference to the weighting table shown in FIGS. 3A and 3B under the following conditions.
Time zone Day of the week Weather Running time Current information 7:00 Weekdays Sunny X minutes Past data 1a 7:00 Holidays Sunny 60 minutes (latest)
Past data 1b 7:00 Holidays Fine 50 minutes (Next latest)
Past data 2 7:00 Weekdays Rain 80 minutes Since the current time zone is 6:00 to 9:00, the time zone: day of the week: weather weight of each data from the table of FIG. 50:40:10 (5: 4: 1). Furthermore, since the data 1a and the data 1b have the same conditions and differ only in the newness of the data, the weighting of 50:30 (5: 3) is performed from the table of FIG. 3B.

Here, when data 1a and data 1b are weighted with respect to the novelty of data,
60 minutes × 5/8 + 50 minutes × 3/8 = about 56 minutes This is data 1.

Also, since data 1 matches the time zone and the weather compared to the current information,
5 + 1 = 6
There are weights.
On the other hand, the time zone and day of the week for Data 2 match the current information.
5 + 4 = 9
There are weights.
Therefore, the travel time is 56 minutes × 6/15 + 80 minutes × 9/15 = about 70 minutes, and the travel time prediction is calculated to be about 70 minutes.

  As described above, in the travel time prediction operation, when there are a plurality of data partially matching the currently traveled condition in the data traveled in the past, refer to the weighting table shown in FIG. The running time is predicted by weighting each data according to the matching conditions. For example, in the midnight time zone (00:00 to 6:00), the traveling data of the same time zone is referred to as it is regardless of the day of the week and the weather. In addition, with respect to a plurality of pieces of traveling data that differ only in the newness of data under the same conditions, with reference to the weighting table shown in FIG. Perform more accurate travel time predictions.

  In the present embodiment, it is assumed that the current route completely matches the route in the past travel data. However, by adding the following processing, the current route becomes a past one. It becomes possible to consider a case where the vehicle data partially matches.

  That is, as described above, when the CPU 1 has traveled from the departure place A to the destination B in the past as shown in FIG. Therefore, as shown in FIG. 5, when traveling from the departure place C to the destination D, some sections e2 to e3 and sections e4 to e5 coincide with the sections e2 to e3 and sections e4 to e5 in FIG. In such a case, only for the above section, by adding a process for predicting the travel time with reference to the past travel data, the travel time prediction can be performed even when there is past travel data in some sections. it can. Therefore, by adding the above processing, it is possible to increase the chances of performing the travel time prediction processing.

  As described above, according to the above-described embodiment, when there is data such as the required time when traveling on the same route in the past, the past conditions for the day, time zone, etc. of the current traveling day It is possible to predict the accurate travel time by weighting the travel data.

  The travel time may be predicted without referring to past travel data, and the data may be displayed on the display unit 6 by a key operation of the in-vehicle navigation device.

  As mentioned above, although embodiment of this invention was explained in full detail with reference to drawings, the concrete structure is not restricted to this embodiment, The design change in the range which does not deviate from the summary of this invention is also included.

It is a flowchart which shows the driving | running | working time prediction operation | movement in one Embodiment of this invention. It is a block diagram which shows the structure of the vehicle-mounted navigation apparatus in the embodiment. It is a weighting table in the same embodiment. It is a figure which shows the sampling method of the driving | running | working data from the departure place A to the destination B of the vehicle-mounted navigation apparatus in the embodiment. It is a figure which shows the sampling method of the driving | running | working data from the departure place C to the destination D of the vehicle-mounted navigation apparatus in the embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... CPU (writing means, search means, travel time calculation means), 2 ... ROM, 3 ... RAM (storage means), 4 ... GPS receiver, 4a ... GPS antenna, 5 ... Operation key part, 6 ... Display part, 7 ... Bus line, 8 ... Running state detection part

Claims (4)

A vehicle-mounted navigation device that sets a route to the destination based on the current position of the vehicle and the destination input by the driver and guides along the set route,
Writing means for sequentially writing the position information of the passage route, the traveling time of the passage route and the traveling condition into the storage means as traveling data when the vehicle is traveling;
When the route is set, a search unit that searches the storage unit for a route that partially or entirely matches the set route;
A running time calculating unit that performs weighting on the travel time related to the searched route based on the travel condition related to the route, and calculates an expected travel time according to the weighting result;
A vehicle-mounted navigation device comprising:   The in-vehicle navigation device according to claim 1, wherein the travel conditions are a travel day, a travel time zone, and weather.   When the travel time calculation means includes a plurality of the travel data having the same travel condition in the storage means, the travel time calculation means further calculates a predicted travel time by performing weighting based on the newness of the travel data. The in-vehicle navigation device according to claim 1 or 2, wherein the on-vehicle navigation device is characterized. A vehicle-mounted navigation device that sets a route to the destination based on the current position of the vehicle and the destination input by the driver and guides along the set route,
When the vehicle is traveling, the position information of the passage route, the traveling time and the traveling condition of the passage route are sequentially written in the storage means,
When a new route is set, a route that partially or completely matches the set route is searched from the storage means,
The travel time related to the searched route is weighted based on the travel conditions related to the route,
Calculating an estimated travel time according to the result of the weighting;
A traveling time prediction method in a vehicle-mounted navigation device.

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