JP4610466B2 - Vehicle placement system - Google Patents

Description

  The present invention relates to a vehicle placement system with improved efficiency when placing a vehicle such as a taxi in a demand prediction area.

2. Description of the Related Art Conventionally, there is known a vehicle demand prediction system that can predict the number of vehicles demanded for each district such as taxis that are dispatched by a dispatch management center (see, for example, Patent Document 1). The conventional vehicle demand prediction system includes a counting unit that counts supply vehicles for each district and a storage unit that stores prediction information on vehicle demand elements. Based on the number of supplied vehicles and the prediction information, the district Forecast the number of vehicles to be dispatched for each vehicle. In the conventional vehicle demand prediction system, information such as the current number of empty vehicles and the actual number of vehicles is managed by the dispatch management center, and information on each area is broadcast to the driver of each vehicle.
JP-A-9-153098 (page 2-5, FIG. 1)

  However, in the conventional vehicle demand forecasting system, information for each area for all areas is broadcast to all vehicles, so the driver of each taxi vehicle can select his / her surrounding area from the information for all areas. They picked up information and moved to anticipate nearby areas where future demand would arise at their own discretion. Therefore, there is a problem that the driver needs an effort to sort out only the information necessary for the driver, and requires many years of experience to predict the district where the demand is generated.

  Moreover, since the prediction of the demand area is based on the individual judgment of each driver, many drivers may move to the area at the same time based on the information that there is a shortage of dispatch in that area. As a result, taxi vehicles are concentrated too much in the area, and a situation occurs where the taxi vehicles are insufficient in other areas. That is, there is a problem that the vehicle allocation system as a whole causes inefficient vehicle arrangement.

  The present invention has been made to solve the above-described conventional problems, and an object of the present invention is to provide a vehicle placement system capable of improving efficiency when placing a vehicle in a demand prediction area.

  In the vehicle placement system of the present invention, a base station device and a mobile station device mounted on a vehicle are communicably connected to each other, and a placement message indicating an area where a vehicle on which the mobile station device is mounted is to be placed is sent to the base station. In the vehicle arrangement system for transmitting from a device to the mobile station device, the mobile station device includes vehicle position detection means for detecting a current position of a vehicle on which the mobile station device is mounted, and a vehicle on which the mobile station device is mounted. Vehicle status identification means for identifying whether the vehicle is in an actual vehicle state or an empty vehicle state, and message output means for outputting a message received from the base station apparatus, and information on the current position and vehicle status of the vehicle Transmitted to the base station apparatus, the base station apparatus stores map data storing map data including data of at least one district, and the actual time according to the day of the week for each district. Based on the reference table storing means storing the reference table recording the number of vehicles, the month coefficient storing means storing the predetermined month coefficient indicating the increase / decrease rate of the actual number of vehicles per month, the reference table and the month coefficient , Predicting the predicted number of actual vehicles in each district after a predetermined time of the current date and time, and detecting the demand forecast districts of the predetermined number of districts in the descending order of the predicted actual number of vehicles together with the demand forecast number of vehicles that is the predicted actual number of vehicles in the demand forecast district Based on the demand forecasting means, the current position and vehicle state information received from the mobile station device, and the map data, from the empty vehicle existing in the demand forecasting district, from the central position of the demand forecasting district In order of increasing distance, keep processing means for performing keep processing for determining vehicles for the demand forecast number as vehicles to wait in the demand forecast area; Waiting message generation means for generating a waiting message for instructing waiting in the demand prediction area for the vehicle that has been processed as the arrangement message, and the waiting message to the mobile station device of the vehicle that has been processed Is transmitted. Here, waiting means not moving from the current district to another district.

  With this configuration, since the standby message is transmitted only to the vehicle (keep vehicle) that has been kept processed by the base station device, the standby message that is output only by the user of the keep vehicle is confirmed, and the keep vehicle is placed in the demand prediction area. To wait. As a result, only the messages necessary for the user are transmitted to the user, thereby reducing the user's labor. Moreover, the demand prediction means of the base station apparatus detects the demand prediction area and transmits it to the user of the keep vehicle. Thereby, even a user with little experience can obtain information on a demand prediction area where a large amount of demand will occur after a predetermined time. In addition, vehicle usage conditions tend to vary from month to month, but fluctuations in monthly usage status can be achieved by forecasting demand using a predetermined monthly coefficient that reflects the rate of increase or decrease in the number of actual vehicles per month. Can be reduced. The detection of the demand prediction area is based on a unified process by the demand prediction means of the base station apparatus. Therefore, compared with the case where each user judges individually, it can reduce that the vehicle concentrates too much in a certain area (demand prediction area), and as a result, the situation where a vehicle runs short in other areas can be reduced. Therefore, efficient vehicle placement can be realized as the entire system, and efficiency when vehicles are placed in the demand prediction district can be improved.

  In the vehicle arrangement system of the present invention, the base station device includes: a demand forecast number in a demand forecast area after a predetermined time detected by the demand forecasting means; and a number of keep vehicles kept by the keep processing means. A shortage determining means for determining whether or not the number of kept vehicles is insufficient, and information on the current position and vehicle state received from the mobile station device when the number of kept vehicles is insufficient, and Based on the map data, from the empty vehicles that are located outside the demand prediction area and are within a predetermined radius from the center position of the demand prediction area, the number of keep vehicles is insufficient. An additional keep processing means for performing an additional keep process for determining the vehicle as a vehicle to be moved to the demand prediction area, and the vehicle subjected to the additional keep process A movement message generating means for generating a movement message for instructing movement to the demand forecasting district as the arrangement message, and transmitting the movement message to the mobile station device of the vehicle subjected to the additional keep process. ing. Here, moving refers to moving from the current district to another district.

  With this configuration, if the number of vehicles is insufficient with only the number of vehicles in the demand forecast area, even if there are empty vehicles outside the demand forecast area, it will be near the center of the demand forecast area. If the vehicle is an existing empty vehicle, additional keep processing is performed. Then, a movement message is transmitted from the base station apparatus to the vehicle that has undergone the additional keep process (additional keep vehicle). In this way, by moving the additional keep vehicle to the demand prediction area, it is possible to supplement the shortage of the demand prediction number. Further, since the movement message is transmitted only to the additional keep vehicle, the movement message output only by the user of the additional keep vehicle is confirmed, and the additional keep vehicle is moved to the demand prediction area. Therefore, even when there is a shortage in the number of keep vehicles, it is possible to realize efficient vehicle arrangement as the entire system, and the efficiency when arranging vehicles in the demand prediction district is improved.

  Further, in the vehicle arrangement system of the present invention, the base station device includes a holiday determination unit that determines whether or not the current day is a holiday, and the demand prediction unit, when the current day is a holiday, Using the reference data on Sunday in the reference table, the predicted actual number of vehicles in each district after a predetermined time after the current date and time is predicted.

  With this configuration, when the current day is a holiday, the reference data for Sunday in the reference table is used regardless of the actual day of the week. The vehicle usage on public holidays tends to be closer to the usage on Sunday compared to the actual usage on the day of the week for which data has been compiled. Therefore, by using the reference data for Sunday in the reference table to make a demand prediction after a predetermined time of the current date and time, it becomes possible to use the operation table in accordance with the actual usage situation.

  In the vehicle arrangement system according to the present invention, the base station device includes a weather coefficient storage means for storing a predetermined weather coefficient representing an increase / decrease rate of the actual number of vehicles according to the weather, and an input means for inputting the current day weather data. And the demand prediction means adjusts the predicted actual number of vehicles in each area after the predetermined time by using the weather coefficient according to the weather data.

  With this configuration, the demand prediction means adjusts the predicted actual number of vehicles in each district after a predetermined time using a weather coefficient corresponding to the weather data. Vehicle usage is greatly affected by the weather of the day. Therefore, by adjusting the demand prediction using the weather coefficient corresponding to the weather data, it is possible to arrange the vehicle according to the weather of the day.

  In the vehicle arrangement system according to the present invention, the base station device may include event data storage means for storing event data that is data of a district where an event is held, date and time, and the predicted number of vehicles, and a predetermined number based on the event data. Event detection means for detecting the district where the event is to be held after each time from each district, and the demand prediction means calculates the demand forecast number of the district where the event is held after the predetermined time as the predicted actual number of vehicles of the event data. The configuration is as follows.

  With this configuration, when an event is held in a predetermined district (event holding district) after a predetermined time, the demand prediction is performed using the number of demand forecasts in the event holding district as the predicted actual number of event data. The usage situation of vehicles around the event venue is greatly influenced by whether or not the event is held. Therefore, by using the predicted actual number of vehicles in the event data as the demand predicted number at the start and end of the event in the vicinity of the event venue, it is possible to arrange vehicles according to the usage status at the time of event holding.

  The present invention provides a mobile station of a vehicle in which a demand prediction means, a keep processing means, and a standby message generation means are provided in a base station apparatus, a demand prediction area is detected together with the number of demand predictions by the demand prediction means, and a keep process is performed by the keep processing means To provide a vehicle placement system having an effect of improving efficiency when placing a vehicle in a demand prediction area by transmitting a standby message to a device and causing the vehicle to wait in the demand prediction area Is something that can be done.

  Hereinafter, a vehicle arrangement system according to an embodiment of the present invention will be described with reference to the drawings. In the present embodiment, a case of a vehicle arrangement system used for a taxi dispatch system or the like that arranges taxi vehicles in an area where demand is predicted is illustrated.

  FIG. 1 shows a block diagram of a base station device and a mobile station device of the vehicle arrangement system according to the embodiment of the present invention. As shown in FIG. 1, the base station apparatus 1 of the vehicle arrangement system is installed in a taxi dispatch management center, and the mobile station apparatus 2 is mounted on a taxi vehicle. The base station device 1 includes a base radio transceiver 4 having a radio antenna 3, a radio communication control device 5 for controlling the base radio transceiver 4, a stand microphone 6 for an operator of a taxi dispatch management center to input voice, Center device 7 is provided. On the other hand, the mobile station apparatus 2 includes a mobile radio transceiver 9 having a radio antenna 8, a hand microphone 10 on which a taxi vehicle driver inputs voice, a taxi vehicle usage fee and a vehicle state (whether it is an actual vehicle state or an empty vehicle state). Are displayed, and a terminal device 12 is provided. The base radio transceiver 4 of the base station apparatus 1 and the mobile radio transceiver 9 of the mobile station apparatus 2 are connected so as to be capable of radio communication.

  As shown in FIG. 1, the terminal device 12 of the mobile station device 2 has a main control unit 13 mainly composed of a computer and a GPS antenna 14 and can detect the current position of the taxi vehicle. Unit 15, external information input unit 16 to which external information (utilization fee information and vehicle state information) from taximeter 11 is input, and vehicle state information is extracted from the external information input to external information input unit 16 and taxi And a vehicle state identifying unit 17 for identifying whether the vehicle is in an actual vehicle state or an empty vehicle state. Further, the terminal device 12 includes a radio communication control unit 18 that controls the mobile radio transceiver 9, a message identification unit 19 that identifies predetermined message information from information received by the mobile radio transceiver 9, and a terminal device 12 as shown in FIG. A message display unit 20 for displaying predetermined message information, a storage unit 21 for storing message information and the like, and an input unit 22 for inputting predetermined data and operation commands.

  As shown in FIG. 1, the center device 7 of the base station device 1 is an information input unit that inputs and outputs predetermined information to and from the main control unit 23 mainly composed of a computer and the wireless communication control device 5. An output unit 24, an input unit 25 for inputting predetermined data and operation commands, a storage unit 26 for storing predetermined information and input data, and the demand situation of taxi vehicles as shown in FIG. 8 are displayed. The status display unit 27 is provided.

  FIG. 2 shows a block diagram of the storage unit 26 of the center device 7 of the base station device 1. As shown in FIG. 2, the storage unit 26 of the center device 7 includes map data 28 for the entire district where taxi vehicle dispatch services are provided, calendar data 29 for annual calendars and holidays, and the actual number of vehicles (totaled) by district. The total table 30 in which the actual number of vehicles) is recorded, and the actual vehicles by the day of the week of the district, where the actual number of vehicles by region of the tabulation table 30 is totaled by day of the week and divided by the monthly coefficient of the total month as shown in FIG. A reference table 31 in which the number of vehicles (reference actual number of vehicles) is recorded, and an operation in which the actual number of vehicles (predicted actual number of vehicles) obtained by multiplying the reference actual number of vehicles in the reference table 31 by the month coefficient of the operation month and the weather coefficient of the operation day is recorded. A table 32 is stored. Further, in the storage unit 26 of the center device 7, as shown in FIG. 5, a predetermined monthly coefficient representing the increase / decrease rate of the actual number of vehicles per month from January to December (the increase / decrease rate of the total actual number of vehicles per month). , A monthly coefficient table 33 including a weather coefficient table 34 including a predetermined weather coefficient (an increase / decrease ratio of the actual number of vehicles according to the weather) representing the increase / decrease rate of the actual number of vehicles according to the weather, as shown in FIG. 7, an event data table 35 including about 300 event information data such as district data where the event is held, date data, time data and predicted actual vehicle number data is stored. In the present embodiment, the calendar data 29, the month coefficient table 33, the weather coefficient table 34, and the event data table 35 are input from the input unit 25 by the operator of the taxi dispatch management center and stored in the storage unit 26 of the center device 7. Registered in advance. Here, the total month refers to a month in which the total table 30 is generated by totaling the actual number of vehicles (total data) for each district in order to create the reference table 31. The operation month is a month when taxi vehicles are arranged using the operation table 32.

  FIG. 3 shows a block diagram of the main control unit 23 of the center device 7 of the base station device 1. As shown in FIG. 3, the main control unit 23 of the center apparatus 7 selects a demand prediction area where a large amount of demand will occur after a predetermined time (for example, 30 minutes) after the current date and time based on the operation table 32. Based on the current position information and vehicle state information received from the mobile station apparatus 2 and the map data 28, the center position of the area is determined from among the empty vehicles in the demand prediction area. Are provided with a keep processing unit 37 that keeps the taxi vehicles for the number of demand forecasts in order from the nearest to the vehicle, and a standby message generation unit 38 that generates a standby message to be transmitted to the vehicle subjected to the keep process (keep vehicle). For example, in the demand forecasting unit 36, eight districts (district 01 to district 08) are selected from the total of 80 districts (district 01 to district 80) in descending order of the actual number of vehicles (demand forecast number) in the operation table 32. Processing for detecting a demand prediction area is performed (see FIG. 8).

  Further, the main control unit 23 of the center device 7 compares the number of demand predictions in the demand prediction area after a predetermined time (for example, after 30 minutes) with the number of vehicles subjected to the keep processing (number of keep vehicles), and keeps the vehicle Based on the current position information and vehicle status information received from the mobile station device 2 and the map data 28 based on the shortage determination unit 39 for determining whether the number is insufficient or not (in other districts). If there are empty vehicles within a predetermined radius (for example, within 1 km) from the center of the demand forecasting area, the taxi vehicles for the shortage of keep vehicles are selected from the empty vehicles. An additional keep processing unit 40 that performs an additional keep process and a movement message generation unit 41 that generates a movement message to be transmitted to a vehicle that has undergone the additional keep process (additional keep vehicle) are provided.

  Further, the demand prediction unit 36 of the main control unit 23 of the center apparatus 7 includes a holiday determination unit 42 that determines whether the aggregation date and the operation day are holidays based on the current date and the calendar data 29, and an event Based on the data, the event detection unit 43 for detecting the district where the event is performed after a predetermined time, and the actual vehicle number data of the totaling table 30 are divided by the monthly coefficient of the totaling month to obtain the reference actual vehicle number data of the reference table 31. The monthly adjustment unit 44 that calculates and calculates the predicted actual number of vehicles in the operation table 32 by multiplying the reference actual number of vehicles in the reference table 31 by the month coefficient of the operation month, and the reference actual vehicle in the reference table 31 when creating the operation table 32 A weather adjustment unit 45 that multiplies the number by the weather coefficient, and event data that replaces the predicted actual number of vehicles in the operation table 32 with the predicted actual number of vehicles data in the event data table 35. And a replacing unit 46. Here, the aggregation date refers to the date when the aggregation table 30 is created by aggregating the actual number of vehicles (aggregation data) for each district in order to create the reference table 31. Further, the operation day refers to a day on which taxi vehicles are arranged using the operation table 32.

  About the vehicle arrangement system of this Embodiment comprised as mentioned above, the operation | movement is demonstrated using FIGS.

  First, the operation when creating the aggregation table 30 and the reference table 31 will be described with reference to the flowchart of FIG. In the present embodiment, the creation of the reference table 31 is performed only at the creation time of the predetermined reference table 31 (for example, every hour at 00 minutes and 30 minutes), and the summary table 30 is continuously created at other times. Is called.

  When the total table 30 is created, first, at the taxi dispatch management center, it is determined whether or not the current time is the creation time of the reference table 31 (for example, every hour and 30 minutes) (S101). If the current time is not the creation time of the reference table 31, the current position information from the mobile station device 2 of the taxi vehicle is received (S102) and whether the taxi vehicle is in an actual vehicle state or an empty vehicle state. The vehicle state information is received by the base radio transceiver 4 (S103). Then, based on the received current position information and vehicle state information, the total number of actual vehicles by region is recorded in the total table 30 of the storage unit 26 of the center device 7 (S104).

  As a result of determining whether or not the current time is the creation time of the reference table 31 (for example, 00 and 30 minutes per hour) (S101), if the current time is the creation time of the reference table 31, A table 31 is created. In this case, first, the monthly adjustment unit 44 of the main control unit 23 of the center apparatus 7 divides the total number of actual vehicles in the totaling table 30 created as described above by the monthly coefficient of the total number of months to calculate the reference actual vehicle number. Is calculated (S105). Next, in the holiday determination unit 42 of the main control unit 23 of the center device 7, it is determined whether or not the tabulated days are holidays (S106). If the calculated date is not a holiday, the calculated reference actual number of vehicles by time by day of the district is recorded in the reference data of the calculated day of the week (total day of the week) in the reference table 31 (S107). On the other hand, if the tabulated date is a holiday, the calculated reference actual number of vehicles by time of day by district is recorded in the reference data for Sunday in the reference table 31 (S108). In this embodiment, in this way, the reference table 31 for each day of the week for each district as shown in FIG. 4 is created for all districts (district 01 to district 80).

  Next, the operation when creating the operation table 32 will be described using the flowchart of FIG. When creating the operation table 32, first, the reference actual number of vehicles after a predetermined time (for example, after 30 minutes) of the reference table 31 created as described above in the monthly adjustment unit 44 of the main control unit 23 of the center device 7. Is multiplied by the month coefficient of the operating month (S201). Next, in the weather adjustment unit 45 of the main control unit 23, the reference actual number of vehicles in the reference table 31 multiplied by the month coefficient is further multiplied by the weather coefficient (S202). In this way, the predicted actual number of vehicles in the operation table 32 is calculated. In the present embodiment, the operator of the taxi dispatch management center determines the current weather, inputs a button of weather data (for example, heavy rain) from the input unit 25 of the center device 7, and stores the weather data in the storage unit 26. . Then, the weather adjustment unit 45 of the main control unit 23 reads the weather data in the storage unit 26, selects a weather coefficient (for example, 2.0) corresponding to the weather data, and performs a multiplication process.

  Thereafter, the event detection unit 43 of the center device 7 determines whether or not a district where the event is held is detected after a predetermined time (for example, 30 minutes later) (S203). When the district where the event is held is detected, the event data replacement unit 46 of the main control unit 23 of the center device 7 uses the event information data to calculate the predicted actual number of vehicles in the district where the event is held in the operation table 32. The process of substituting with the predicted number data is performed (S204). On the other hand, when the district where the event is held is not detected, the above replacement process is not performed. Then, the operation table 32 created based on the reference table 31 as described above is recorded in the storage unit 26 of the center device 7 (S205).

  Next, the operation when placing a taxi vehicle in the vehicle placement system will be described using the flowchart of FIG. When arranging taxi vehicles, the demand prediction unit 36 of the main control unit 23 of the center apparatus 7 detects the number of demand predictions in all 80 districts using the operation table 32 (S301). Next, a process of detecting eight districts (district 01 to district 08) as demand forecast districts in descending order of the actual number of vehicles (demand forecast number) in the operation table 32 from among all 80 districts (district 01 to district 80). Is performed (S302).

  Next, it is determined whether or not there is an empty taxi vehicle in the detected demand prediction area (S303). When it is determined that there is an empty vehicle in the detected demand prediction area, the keep processing unit 37 of the main control unit 23 of the center device 7 performs a keep process (S304). Specifically, processing is performed to keep the number of taxi vehicles for the number of demand forecasts in the order closer to the center position of the district from the empty vehicles in the demand forecast district. At this time, the storage unit 26 of the center device 7 stores the vehicle number of the taxi vehicle (keep vehicle) that has been subjected to the keep process (S305). Then, the standby message generator 38 of the center apparatus 7 generates a standby message for transmission to the keep vehicle as shown in FIG. 9A (S306). On the other hand, when it is determined that there is no empty vehicle in the detected demand prediction area, the keep process is not performed. Finally, the shortage number of keep vehicles is stored in the storage unit 26 of the center device 7 (S307).

  Then, in the shortage determination unit 39 of the main control unit 23 of the center device 7, it is determined whether or not the number of kept vehicles is insufficient (S308). Specifically, it is determined whether or not there is a shortage in the number of keep vehicles by comparing the detected demand number in the demand prediction area with the number of vehicles that have been subjected to the keep process (the number of keep vehicles).

  As a result of the above shortage determination, if it is determined that there is a shortage in the number of keep vehicles, the vehicle is an empty vehicle located outside the detected demand prediction area, and the center of the detected demand prediction area It is determined whether there is an empty taxi vehicle existing within a predetermined radius (for example, within 1 km) from the position (S309). When there is an empty taxi vehicle within a predetermined radius, an additional keep process is performed in the additional keep processing unit 40 of the main control unit 23 of the center device 7 (S310). Specifically, even if the taxi vehicle is outside the detected demand prediction area (in another demand prediction area), the taxi is in an empty state within a predetermined radius (for example, within 1 km) from the center position of the demand prediction area. If there is a vehicle, a process of additionally keeping the taxi vehicles for the shortage of keep vehicles is performed from among the taxi vehicles. At this time, the storage unit 26 of the center device 7 stores the vehicle number of the taxi vehicle (additional keep vehicle) subjected to the additional keep process (S311). Then, the movement message generation unit 41 of the center device 7 generates a movement message for transmission to the additional keep vehicle as shown in FIG. 9B (S312). On the other hand, there is an empty taxi vehicle that is not kept within a predetermined radius (for example, within 1 km) from the center position of the detected demand prediction area even outside the detected demand prediction area (in another demand prediction area). If it is determined that it does not exist, the additional keep process is not performed. Finally, the total number of keep vehicles and additional keep vehicles is stored in the storage unit 26 of the center device 7 as the number of transmissions (S313). On the other hand, if it is determined that there is no shortage in the number of kept vehicles as a result of the shortage determination (S308), the additional keep process is not performed.

  Thereafter, as shown in FIG. 8, on the screen of the status display unit 27 of the center device 7, the detected district names of the eight districts, vehicles that have been subjected to the keep process (keep vehicles), and vehicles that have undergone the additional keep process (additional keepsake). The total number of vehicles (number of transmissions) and vehicle number are displayed (S314). For example, in the screen of the status display unit 27 shown in FIG. 8, in the district 01, a display indicating that the total number of vehicles (the number of transmissions) of the keep vehicle and the additional keep vehicle is 10 is displayed. A check mark is attached to a check box next to the vehicle number (101 to 110) for the keep vehicle.

  Then, the operator of the taxi dispatch management center designates a predetermined district and a vehicle where taxi vehicles are dispatched from the demand prediction districts displayed on the screen of the status display unit 27 of the center device 7 (S315). Specifically, on the screen of the status display section 27, a check mark is selected from a check box of a vehicle that seems to be unsuitable for the area or the vehicle that seems to be unassigned from the area or the vehicle that is marked with the check mark. The removal work is performed by the operator. For example, in the screen of the status display unit 27 shown in FIG. 8, the check mark for the district 08 is removed, and the designation as the district to dispatch is cancelled. In addition, the check mark of the vehicle in the area 07 (vehicle number 139) is removed, and the designation as a vehicle to be dispatched is cancelled. In the present embodiment, it can be said that by designating a district or vehicle where taxi vehicles are not dispatched, designation of other predetermined districts and vehicles where taxi vehicles are dispatched is performed.

  Finally, the operator of the taxi dispatch management center presses the rearrangement transmission button on the screen of the status display unit 27 of the center device 7 (S316). Then, the waiting message shown in FIG. 9A is transmitted to the taxi vehicle subjected to the keep process, and the movement message illustrated in FIG. 9B is transmitted to the taxi vehicle subjected to the additional keep process. (S317). Then, the driver of the taxi vehicle who has received the standby message confirms the standby message and waits in the current district (demand prediction district) as it is. In addition, the driver of the taxi vehicle that has received the movement message confirms the movement message and immediately moves to a nearby demand prediction area.

  According to the vehicle arrangement system of the embodiment of the present invention, the base station apparatus 1 is provided with the demand prediction unit 36, the keep processing unit 37, and the standby message generation unit 38, and the demand prediction unit 36 uses the demand prediction district and the demand. When a vehicle is placed in the demand prediction area by detecting the predicted number and transmitting a standby message to the mobile station device 2 of the vehicle that has been subjected to the keep processing by the keep processing unit 37 and causing the vehicle to wait in the demand prediction area Efficiency can be improved.

  In other words, in the present embodiment, the standby message is transmitted only to the taxi vehicle (keep vehicle) that has been subjected to the keep process by the base station apparatus 1, so the standby message that is output only by the driver of the keep vehicle is confirmed and kept. Place the vehicle in the demand forecast area. As a result, only the messages necessary for the driver are sent to the driver, which reduces the driver's labor. Moreover, the demand prediction part 36 of the base station apparatus 1 detects a demand prediction area, and transmits to the driver of a keep vehicle. As a result, even a driver with little experience can obtain information on a demand prediction area where a large amount of demand will occur after a predetermined time (for example, after 30 minutes). The detection of the demand prediction area is based on a unified process by the demand prediction unit 36 of the base station device 1. Therefore, compared to the case where each driver makes an individual decision, taxi vehicles are concentrated too much in a certain area (demand prediction area), and as a result, the situation that taxi vehicles are insufficient in other areas is reduced. it can. Therefore, efficient taxi vehicle arrangement can be realized as a whole system, and efficiency when taxi vehicles are arranged in the demand prediction area can be improved. Moreover, since the keep vehicle which received the waiting message should just wait in the area, it can reduce the fuel consumption of a taxi compared with the case where it moves to another area by own judgment.

  Further, in the present embodiment, when the number of vehicles is insufficient with only the number of keep vehicles for the demand forecast number in the demand forecast district, even if the empty vehicle is outside the demand forecast district, the demand forecast district If the vehicle is an empty vehicle near the center position, additional keep processing is performed. Then, a movement message is transmitted from the base station apparatus 1 to the taxi vehicle (additional keep vehicle) subjected to the additional keep process. In this way, the shortage of the demand forecast number can be supplemented by moving the additional keep vehicle to the area. Further, since the movement message is transmitted only to the additional keep vehicle, the movement message output only by the driver of the additional keep vehicle is confirmed, and the additional keep vehicle is moved to the demand prediction area. Therefore, even when there is a shortage in the number of keep vehicles, efficient taxi vehicle arrangement can be realized as the entire system, and efficiency when taxi vehicles are arranged in the demand prediction area is improved. In addition, since the additional keep vehicle that has received the movement message only needs to move to a nearby area, the fuel consumption of the taxi can be reduced as compared with the case where it moves to another distant area by its own judgment.

  Further, in this embodiment, when creating the reference table 31 by time of day by district from the count table 30 by district, if the counting date is a holiday, regardless of the actual day of the week of the counting date, The created reference table 31 is a Sunday reference table 31. The usage status of taxi vehicles on public holidays tends to be closer to the usage status on Sundays compared to the actual usage status on the day of the week of the aggregation date. Therefore, when using the operation table 32, if the operation day is a holiday, the operation table 32 for Sunday is used regardless of the actual day of the operation day. As a result, the operation table 32 can be used in accordance with the actual usage situation.

  Further, in the present embodiment, when the reference table 31 is created, a process of calculating the reference actual vehicle number in the reference table 31 by dividing the total actual vehicle number in the aggregation table 30 by the monthly coefficient of the aggregation month is performed. The usage situation of taxi vehicles tends to vary from month to month. Therefore, a single reference table 31 that does not depend on monthly trends is created by dividing the total number of actual vehicles in the total table 30 by a predetermined monthly coefficient that reflects the rate of increase / decrease in the actual number of vehicles per month. can do. Thereby, the influence of the dispersion | variation in the utilization condition every month can be reduced. When the operation table 32 is created, a process of calculating the predicted actual number of vehicles in the operation table 32 by multiplying the reference actual number of vehicles in the reference table 31 by the month coefficient of the operation month is performed. Thus, the operation table corresponding to the usage situation of each month is obtained by multiplying the reference actual number of vehicles in the single reference table 31 by a predetermined monthly coefficient reflecting the increase / decrease rate of the actual number of vehicles per month and adjusting each month. 32 can be created.

  In the present embodiment, when the operation table 32 is created, the reference actual number of vehicles in the reference table 31 is multiplied by the weather coefficient corresponding to the weather data on the operation day. The usage situation of taxi vehicles is greatly affected by the weather of the day. Therefore, when the operation table 32 is created, the demand coefficient is adjusted by multiplying the weather coefficient corresponding to the weather data by the reference actual number of vehicles in the reference table 31 to adjust the demand forecast, and thus the taxi vehicle corresponding to the weather of the day Can be arranged.

  Further, in the present embodiment, when the operation table 32 is used, if an event is held in a predetermined district (event holding district) after a predetermined time, the event holding district of the operation table 32 after the predetermined time is used. Replace the predicted number of demand with the actual number of event data. The usage situation of taxi vehicles around the event venue is greatly influenced by whether or not the event is held. Therefore, by using the operation table 32 in which the demand forecast number at the start and end of the event in the district around the event venue is replaced with the predicted actual number of event data, taxi vehicles can be arranged according to the usage situation at the time of the event. It becomes possible.

  Conventionally, it is necessary to accumulate detailed data over a long period (for example, one year) as past data used for prediction, and it is difficult to start a taxi business at an early stage. On the other hand, in this embodiment, since the reference table 31 for each day of the week is used, it is only necessary to collect simple data for a short period (about one week). Therefore, the preparation period for starting the business is short, and the business can be started early. Conventionally, the time unit that can be predicted is an hour unit, but in the present embodiment, it is possible to make a prediction with a time accuracy of 30 minutes.

  The embodiments of the present invention have been described above by way of example, but the scope of the present invention is not limited to these embodiments, and can be changed or modified according to the purpose within the scope of the claims. is there.

  As described above, the vehicle placement system according to the present invention has an effect of improving the efficiency when placing a vehicle in the demand prediction district, and is used when placing a vehicle such as a taxi in the demand prediction district. It is useful as a vehicle placement system with improved efficiency.

The block diagram of the base station apparatus and mobile station apparatus in embodiment of this invention The block diagram of the memory | storage part of the base station apparatus in embodiment of this invention The block diagram of the main control part of the base station apparatus in embodiment of this invention Reference table in the embodiment of the present invention Month coefficient table in the embodiment of the present invention Weather coefficient table in the embodiment of the present invention Event data table in the embodiment of the present invention Status display screen of center apparatus of base station apparatus in the embodiment of the present invention (A) Message display screen of the terminal device of the mobile station device (keep vehicle) in the embodiment of the present invention (b) Message display screen of the terminal device of the mobile station device (additional keep vehicle) in the embodiment of the present invention FIG. 5 is a flowchart for explaining the operation of creating the aggregation table and the reference table in the embodiment of the present invention. Flow chart for explaining an operation of creating an operation table in the embodiment of the present invention Flow chart for explaining the operation of arranging the vehicle in the embodiment of the present invention

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Base station apparatus 2 Mobile station apparatus 15 Vehicle position detection part 17 Vehicle state identification part 20 Message display part 27 Status display part 28 Map data 30 Total table 31 Reference table 32 Operation table 33 Month coefficient table 34 Weather coefficient table 35 Event data table 36 Demand prediction unit 37 Keep processing unit 38 Standby message generation unit 39 Shortage determination unit 40 Additional keep processing unit 41 Movement message generation unit 42 Holiday determination unit 43 Event detection unit 44 Monthly adjustment unit 45 Weather adjustment unit 46 Event data replacement unit

Claims (5)

A base station apparatus and a mobile station apparatus mounted on a vehicle are communicably connected to each other, and an arrangement message indicating an area where a vehicle on which the mobile station apparatus is mounted is to be arranged is transmitted from the base station apparatus to the mobile station apparatus. Vehicle placement system
The mobile station device
Vehicle position detecting means for detecting a current position of a vehicle on which the mobile station device is mounted;
Vehicle state identification means for identifying whether a vehicle on which the mobile station device is mounted is in an actual vehicle state or an empty vehicle state;
Message output means for outputting a message received from the base station device,
Transmitting the current position and vehicle state information of the vehicle to the base station device;
The base station device
Map data storage means storing map data including data of at least one district;
A reference table storing means for storing a reference table that records the number of vehicles by time of day according to district;
A monthly coefficient storage means for storing a predetermined monthly coefficient representing an increase / decrease rate of the actual number of vehicles per month;
Based on the reference table and the monthly coefficient, the predicted actual number of vehicles in each district after a predetermined time of the current date and time is predicted, and the demand forecast districts of the predetermined number of districts in the descending order of the predicted actual number of vehicles are predicted in the demand forecast district. Demand forecasting means to detect together with the demand forecast number that is the actual number of vehicles,
Based on the current position and vehicle state information received from the mobile station device and the map data, from an empty vehicle existing in the demand prediction area, in ascending order of the distance from the center position of the demand prediction area, A keep processing means for performing a keep process for determining a vehicle for the demand forecast number as a vehicle to wait in the demand forecast area;
A standby message generating means for generating, as the arrangement message, a standby message for instructing standby in the demand prediction district for the vehicle subjected to the keep process,
The vehicle placement system, wherein the standby message is transmitted to the mobile station device of the vehicle that has been subjected to the keep process. The base station device
Whether or not there is a deficiency in the number of kept vehicles by comparing the number of demand forecasts in the demand forecasting area after a predetermined time detected by the demand forecasting means and the number of keep vehicles kept by the keep processing means Shortage determination means for determining
When there is a shortage in the number of keep vehicles, based on the current position and vehicle state information received from the mobile station device and the map data, the vehicle is located outside the demand prediction area and the demand prediction area Additional keep processing means for performing additional keep processing for determining, as empty vehicles existing within a predetermined radius from a center position, vehicles for which the number of keep vehicles is insufficient as vehicles for moving to the demand prediction area; ,
A movement message generating means for generating, as the arrangement message, a movement message for instructing the vehicle subjected to the additional keep process to move to the demand prediction area;
The vehicle placement system according to claim 1, wherein the movement message is transmitted to a mobile station device of the vehicle subjected to the additional keep process. The base station device includes a holiday determination means for determining whether the current day is a holiday,
The demand forecasting means predicts the predicted actual number of vehicles in each district after a predetermined time of the current date and time using the reference data for Sunday in the reference table when the current date is a holiday. The vehicle placement system according to claim 1 or 2. The base station device includes a weather coefficient storage unit that stores a predetermined weather coefficient that represents a rate of increase / decrease in the number of actual vehicles according to the weather, and an input unit that inputs weather data for the current day,
The said demand prediction means adjusts the prediction actual vehicle number of each district after the said predetermined time using the said weather coefficient according to the said weather data, The Claim 1 thru | or 3 characterized by the above-mentioned. Vehicle placement system. The base station apparatus includes an event data storage means for storing event data, which is data of an area where an event is held, date and time, and an estimated number of vehicles, and an area where an event is held after a predetermined time based on the event data. Event detection means to detect from the district,
The vehicle according to any one of claims 1 to 4, wherein the demand prediction means sets a demand predicted number of districts where an event is held after the predetermined time as a predicted actual number of vehicles of the event data. Placement system.

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