JP2005346324A5

JP2005346324A5 -

Info

Publication number: JP2005346324A5
Application number: JP2004164073A
Authority: JP
Filing date: 2004-06-02
Publication date: 2006-11-24

Claims

Based on boarding information including any one or more of a boarding place, a boarding place, a boarding time, and / or a boarding vehicle of the user, the congestion state of the vehicle is predicted, and the prediction result is used as the congestion prediction information for the user terminal. A congestion prediction system for notifying,
The user terminal is communicably connected to an information management device via a network; and
The user terminal is boarding information acquisition means for acquiring the boarding information;
Transmitting means for transmitting the boarding information to the information management device;
Receiving means for receiving information transmitted from the information management device;
A display means for displaying the received information;
The information management device includes receiving means for receiving the boarding information transmitted via a network;
Storage means for storing the boarding information received by the receiving means and notification destination information indicating a destination for communication with the user terminal;
A congestion prediction means for predicting a congestion situation based on the boarding information stored in the storage means by receiving the boarding information indicating that the boarding is transmitted from the user terminal;
A congestion prediction system, comprising: a transmission unit configured to transmit the predicted congestion state as congestion prediction information to the user terminal that is a transmission source of the boarding information.

The congestion prediction system according to claim 1, wherein the boarding information acquired by the user terminal is stored in the storage device in association with the notification destination information of the user terminal.

The said user terminal is provided with an input means, The said boarding information acquisition means acquires the said boarding information based on the information input using this input means, The Claim 1 or 2 characterized by the above-mentioned. congestion prediction system of.

The said user terminal is provided with a memory | storage means, The said boarding information acquisition means acquires the said boarding information based on the information previously stored in this memory | storage means, The one of Claims 1-3 characterized by the above-mentioned. The congestion prediction system described in 1.

A ticket gate set in each of the boarding and alighting places and connected to the information management device via the network so as to be communicable;
Bid information read by the ticket checker as bid information when passing through the ticket checker is transmitted as the boarding information to the information management device via the network and stored in the storage means. The congestion prediction system in any one of Claims 1-4.

When the information management device receives the bidding information from the ticket gate as the boarding information, if the boarding price information indicating the boarding fee is included instead of the information indicating the place of getting off, the boarding price information The congestion prediction system according to claim 5, further comprising: an unloading place prediction unit that predicts the unloading place as the boarding information.

When the information management device receives the bid information from the ticket gate as the boarding information, if the bid information includes the bid time information indicating the time when the ticket passed through the ticket gate, the bid time information The congestion prediction system according to claim 5, further comprising a boarding time prediction unit that predicts a boarding time and / or a boarding vehicle based on the driving time.

Terminal number acquisition means is provided for totaling the number of user terminals for each vehicle and acquiring the total number of terminals, and connected to the information management apparatus via the network so that the terminal number acquisition means Is transmitted to the information management device, and the congestion prediction means of the information management device predicts a congestion situation based on the total number of terminals and the boarding information stored in the storage means. The congestion prediction system according to any one of claims 1 to 7,

9. The terminal number acquisition unit is installed for each partition unit set by dividing a vehicle in advance, and totals the number of the user terminals in the partition and acquires the total number of terminals in the partition. The congestion prediction system described in 1.

Riding vehicle acquisition means for acquiring the boarding vehicle information by specifying the user terminal for each vehicle is installed and connected to the information management device via the network so that the boarding vehicle acquisition means acquires the boarding vehicle information. The boarded vehicle information is transmitted to the information management device and stored as the boarding information in the storage means of the information management device in association with the notification destination information of the user terminal. The congestion prediction system according to any one of 9.

The congestion prediction according to claim 10, wherein the boarding vehicle acquisition unit is installed for each partition unit set by dividing a vehicle in advance and specifies the user terminal to acquire boarding vehicle partition information. system.

12. The congestion prediction unit of the information management device predicts a congestion situation for each specific vehicle or each section of the vehicle based on the boarding information stored in the storage unit. The congestion prediction system described in any one.

A congestion prediction method for predicting the congestion status of a vehicle and notifying a user terminal of a prediction result as congestion prediction information,
A boarding information acquisition step of acquiring the boarding information including any one or more of a user boarding place, a boarding place, a boarding time and / or a boarding vehicle;
Storing the obtained boarding information;
Storing notification destination information indicating a destination to the user terminal;
A congestion prediction step of predicting the congestion status of the vehicle by receiving the boarding information indicating that the user terminal is about to board,
A congestion prediction method comprising: notifying the predicted congestion state to the user terminal that is a transmission source of the boarding information.

14. The congestion prediction step of predicting the congestion status of a vehicle predicts the congestion status of any one or more or all sections from the boarding location where the vehicle gets on and off to the location where the vehicle gets off as the congestion status. The congestion prediction method described.

The congestion prediction method according to claim 13 or 14, wherein the boarding information acquisition step is acquired based on information input using an input unit provided in a user terminal.

The information input using the input means is composed of one or more of a text information format consisting of a character string, a voice information format consisting of sound, or an image information format consisting of an image. Item 16. The congestion prediction method according to Item 15.

16. The congestion according to claim 15, wherein the information input using the input means is information having a predetermined specific identification code format described in a boarding fee table or a ticket issued. Prediction method.

The congestion prediction method according to claim 15, wherein the information input using the input means is information stored in a chip element provided in a boarding ticket or commuter pass.

The congestion prediction method according to claim 13 or 14, wherein the boarding information acquisition step is acquired based on information stored in advance in a storage unit provided in the user terminal.

The congestion prediction method according to claim 13 or 14, wherein the boarding information acquisition step acquires the boarding information based on bid information read by the ticket gate when the user passes the ticket gate.

When acquiring the boarding information based on the bid information, if the boarding price information is included as the bid information instead of the information indicating the boarding place, the boarding information is predicted based on the boarding price information. 21. The congestion prediction method according to claim 20, further comprising a step of predicting alighting location.

When obtaining the boarding information based on the bid information, when the bid time information indicating the time when the ticket has passed through the ticket gate is included as the bid information, the boarding time and / or based on the bid time information The congestion prediction method according to claim 20 or 21, further comprising a boarding time prediction step of predicting a boarding vehicle.

23. The congestion prediction method according to claim 13, wherein the boarding information acquired based on the user terminal is stored in association with the notification destination information of the user terminal. .

The congestion prediction method according to claim 23, wherein a history of boarding information acquired based on the user terminal is stored.

Further comprising a terminal number obtaining step of obtaining the total number of terminals by counting the number of user terminals in the vehicle;
The congestion prediction method according to any one of claims 13 to 23, wherein the congestion prediction step predicts a congestion state based on the stored boarding information and the total number of terminals.

The terminal number acquisition step in which the terminal number acquisition step totals the number of the user terminals in each partition of the vehicle for each partition unit set by dividing the vehicle in advance and acquires the total number of terminals in the partition. Further comprising
26. The congestion prediction method according to claim 25, wherein the congestion prediction step predicts a congestion state based on the stored boarding information and the total number of terminals in the section.

A boarding vehicle acquisition step of acquiring boarding vehicle information specifying at least the vehicle on board and the user terminal;
The storage step stores the boarding vehicle information in association with the notification destination information of the user terminal, and the congestion prediction step predicts a congestion situation based on the stored boarding information and the boarding vehicle information. 27. The congestion prediction method according to any one of claims 13 to 26, wherein:

The boarding vehicle acquisition step further includes a boarding vehicle zone acquisition step of acquiring boarding vehicle zone information specifying the user terminal for each zone unit set by dividing the vehicle in advance,
The storing step further stores the boarding vehicle section information in association with the notification destination information of the user terminal, and the congestion prediction step is based on the stored boarding information and the boarding section information. 28. The congestion prediction method according to claim 27, wherein:

The terminal number acquisition step, the intra-compartment terminal number acquisition step, the boarding vehicle acquisition step, and the boarding vehicle zone acquisition step each acquire information at a timing when the vehicle approaches a specific boarding / exiting station. The congestion prediction method according to any one of claims 25 to 28.

30. The congestion prediction method according to claim 13, wherein the congestion prediction step predicts congestion information for each vehicle or each section of the vehicle.

The notification destination information indicating a destination when performing communication with the user terminal includes one or more of a mail address, a telephone number, a FAX number, and an IP address. The congestion prediction method according to any one of 13 to 30.

32. A congestion prediction program for causing a computer to execute the steps according to claim 13.

A recording medium in which the congestion prediction program according to claim 32 is recorded as program information readable by a computer.