Vehicle allocating method, system and program

• US 20030187720A1
• Filed: 10/23/2002
• Published: 10/02/2003
• Est. Priority Date: 03/28/2002
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Takada, Yuji
• Application Number:
  US10/277,829
• Publication Number:
  US 20030187720A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

A population density degree information obtaining unit obtaining population density degree information, which indicates the number of people staying in an area peripheral to an arbitrary point, from a population density degree information management terminal, a weather information obtaining unit obtaining weather information, and weather information, which is forecast in the past, of the peripheral area from the weather information management terminal, and a vehicle allocation determining unit determining a vehicle to the point based on the population density degree information obtained by the population density degree information obtaining unit, and the weather information and the weather information forecast in the past, which are obtained by the weather information obtaining unit, are comprised, so that it becomes possible to provide a vehicle allocating method which can render a service for allocating a necessary vehicle to an appropriate place.

Claims

1. A vehicle allocating method executed by a vehicle allocating system, which is connected to a population density degree information management terminal and a weather information management terminal via a network, and optimally allocates a vehicle, comprising:

obtaining population density degree information, which indicates a number of people staying in an area peripheral to an arbitrary point, from the population density degree information management terminal;

obtaining weather information at a certain time and weather information at the certain time, which is forecast in the past, of the peripheral area from the weather information management terminal; and

determining allocation of the vehicle to the point based on the obtained population density degree information, the obtained weather information at the certain time, and the weather information at the certain time, which is forecast in the past.

2. The vehicle allocating method according to claim 1, wherein

vehicle allocation is determined so that a number of allocated vehicles is according to a product of a degree that obtained weather information at a certain time is worse than obtained weather information at the certain time is forecast in the past and a value of obtained population density degree information.

3. The vehicle allocating method according to claim 1, wherein:

vehicle use information, which indicates an amount of time that the vehicle requires to arrive at the point, is obtained from a vehicle terminal comprised by the vehicle via the network; and

vehicle allocation is determined so that the vehicle is allocated in consideration of the obtained vehicle use information.

4. The vehicle allocating method according to claim 2, wherein

vehicle use information, which indicates an amount of time that the vehicle requires to arrive at the point, is obtained from a vehicle terminal comprised by the vehicle via the network;

and

vehicle allocation is determined so that the vehicle is allocated in consideration of the obtained vehicle use information.

5. The vehicle allocating method according to claim 1, wherein in said obtaining of the population density degree information:

the number of people staying in the area peripheral to an arbitrary station is predicted based on a number of people who exit through an automatic ticket gate of the arbitrary station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

a number of people who exit through an automatic ticket gate of an arbitrary station for a predetermined time period is predicted based on a number of people who enter through an automatic ticket gate of a different station other than the arbitrary station by using a recording medium which records a ticket attribute, and the ticket attribute, the number of people staying in the area peripheral to the arbitrary station is predicted based on the predicted number of people who exit through the automatic ticket gate, and a predicted number of people staying in the peripheral area is obtained as population density degree information;

a number of people staying in an area peripheral to an arbitrary base station is predicted based on a number of correspondents who make a communication within the arbitrary base station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

or

a number of people staying in an area peripheral to an arbitrary event site around a termination time of an event is predicted based on the termination time of the event at the arbitrary event site, and a number of spectators who gather for the event, and a predicted number of people is obtained as population density degree information.

6. The vehicle allocating method according to claim 2, wherein in said obtaining of the population density degree information:

the number of people staying in the area peripheral to an arbitrary station is predicted based on a number of people who exit through an automatic ticket gate of the arbitrary station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

a number of people who exit through an automatic ticket gate of an arbitrary station for a predetermined time period is predicted based on a number of people who enter through an automatic ticket gate of a different station other than the arbitrary station by using a recording medium which records a ticket attribute, and the ticket attribute, the number of people staying in the area peripheral to the arbitrary station is predicted based on the predicted number of people who exit through the automatic ticket gate, and a predicted number of people staying in the peripheral area is obtained as population density degree information;

a number of people staying in an area peripheral to an arbitrary base station is predicted based on a number of correspondents who make a communication within the arbitrary base station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

or

a number of people staying in an area peripheral to an arbitrary event site around a termination time of an event is predicted based on the termination time of the event at the arbitrary event site, and a number of spectators who gather for the event, and a predicted number of people is obtained as population density degree information.

7. The vehicle allocating method according to claim 3, wherein in said obtaining of the population density degree information:

the number of people staying in the area peripheral to an arbitrary station is predicted based on a number of people who exit through an automatic ticket gate of the arbitrary station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

a number of people who exit through an automatic ticket gate of an arbitrary station for a predetermined time period is predicted based on a number of people who enter through an automatic ticket gate of a different station other than the arbitrary station by using a recording medium which records a ticket attribute, and the ticket attribute, the number of people staying in the area peripheral to the arbitrary station is predicted based on the predicted number of people who exit through the automatic ticket gate, and a predicted number of people staying in the peripheral area is obtained as population density degree information;

a number of people staying in an area peripheral to an arbitrary base station is predicted based on a number of correspondents who make a communication within the arbitrary base station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

or

a number of people staying in an area peripheral to an arbitrary event site around a termination time of an event is predicted based on the termination time of the event at the arbitrary event site, and a number of spectators who gather for the event, and a predicted number of people is obtained as population density degree information.

8. The vehicle allocating method according to claim 4, wherein in said obtaining of the population density degree information:

the number of people staying in the area peripheral to an arbitrary station is predicted based on a number of people who exit through an automatic ticket gate of the arbitrary station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

a number of people who exit through an automatic ticket gate of an arbitrary station for a predetermined time period is predicted based on a number of people who enter through an automatic ticket gate of a different station other than the arbitrary station by using a recording medium which records a ticket attribute, and the ticket attribute, the number of people staying in the area peripheral to the arbitrary station is predicted based on the predicted number of people who exit through the automatic ticket gate, and a predicted number of people staying in the peripheral area is obtained as population density degree information;

a number of people staying in an area peripheral to an arbitrary base station is predicted based on a number of correspondents who make a communication within the arbitrary base station for a predetermined time period, and a predicted number of people is obtained as population density degree information;

or

a number of people staying in an area peripheral to an arbitrary event site around a termination time of an event is predicted based on the termination time of the event at the arbitrary event site, and a number of spectators who gather for the event, and a predicted number of people is obtained as population density degree information.

9. The vehicle allocating method according to claim 1, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

10. The vehicle allocating method according to claim 2, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

11. The vehicle allocating method according to claim 3, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

12. The vehicle allocating method according to claim 4, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

13. The vehicle allocating method according to claim 5, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

14. The vehicle allocating method according to claim 6, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

15. The vehicle allocating method according to claim 7, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

16. The vehicle allocating method according to claim 8, wherein

determined vehicle allocation information is transmitted to the vehicle terminal.

17. The vehicle allocating method according to claim 9, wherein

a transmission of the vehicle allocation information is implemented by transmitting a fare from the point to a different point, and weather information at an arrival time of the different point.

18. A vehicle allocating system, which is connected to a population density degree information management terminal and a weather information management terminal via a network, and optimally allocates a vehicle, comprising:

a population density degree information obtaining unit obtaining population density degree information, which indicates a number of people staying in an area peripheral to an arbitrary point, from the population density degree information management terminal;

a weather information obtaining unit obtaining weather information at a certain time, and weather information at the certain time, which is forecast in the past, of the peripheral area from the weather information management terminal; and

a vehicle allocation determining unit determining allocation of the vehicle to the point based on the population density degree information obtained by said population density degree information obtaining unit, and the weather information at the certain time and the weather information at the certain time forecast in the past, which are obtained by said weather information obtaining unit.

19. A vehicle allocating program executed by a vehicle allocating system, which is connected to a population density degree information management terminal and a weather information management terminal via a network, and optimally allocates a vehicle, comprising:

obtaining population density degree information, which indicates a number of people staying in an area peripheral to an arbitrary point, from the population density degree information management terminal;

obtaining weather information at a certain time, and weather information at the certain time, which is forecast in the past, of the peripheral area from the weather information management terminal; and

determining the vehicle to the point based on the obtained population density degree information, the obtained weather information at the certain time, and the weather information at the certain time, which is forecast in the past.

20. A vehicle allocating system, which is connected to a population density degree information management terminal and a weather information management terminal via a network, and optimally allocates a vehicle, comprising:

population density degree information obtaining means for obtaining population density degree information, which indicates a number of people staying in an area peripheral to an arbitrary point, from the population density degree information management terminal;

weather information obtaining means for obtaining weather information at a certain time, and weather information at the certain time, which is forecast in the past, of the peripheral area from the weather information management terminal; and

vehicle allocation determining means for determining allocation of the vehicle to the point based on the population density degree information obtained by said population density degree information obtaining means, and the weather information at the certain time and the weather information at the certain time forecast in the past, which are obtained by said weather information obtaining means.