TWI545518B - Carrying capacity statistical system, server system and carrying capacity statistical method thereof - Google Patents

Description

Load capacity statistics system, servo system and method for calculating its load amount

The invention relates to a carrying capacity statistics system and a method for calculating the carrying amount thereof, in particular to a carrying capacity statistics system capable of counting and predicting the carrying capacity of a vehicle and a method for calculating the carrying amount thereof.

With the advancement of technology, smart mobile communication devices and their applicable applications (APP) are also becoming more diverse. In the prior art, many applications for mass transit have been developed. However, at present, the traditional mass transit APP or the current station information device only provides information such as the location and arrival time of the mass transit vehicle. In the prior art, the load of the mass transit vehicle cannot be known, that is, the user cannot be allowed. It is inconvenient for the passengers to know in advance the amount of load in each shift of the train, and to select a vehicle with a small load and no need to spend too much waiting time.

Therefore, it is necessary to invent a new method of carrying capacity statistics system, servo system and its load amount statistics to solve the lack of prior art.

The main object of the present invention is to provide a load capacity statistics system having the effect of counting and predicting the carrying capacity of a vehicle.

Another primary object of the present invention is to provide a method for carrying amount statistics for the above system.

Yet another primary object of the present invention is to provide a servo system for statistical load carrying.

To achieve the above objectives, the load amount statistics system of the present invention includes a plurality of user terminals and a servo system. Each user end includes a positioning module for obtaining a positioning signal. The servo system is connected to the user end of the plurality, and the servo system comprises a trajectory calculation module, a route matching module, a statistical module and a recording module. The trajectory calculation module is configured to receive the positioning signals from the user ends of the plurality of complexes to calculate the movement trajectory according to the positioning signals of the user end. The route matching module is used to match the movement track to the path of the vehicle to generate a ride signal. The statistic module is used to instantly count the number of ride signals generated by the user terminals of the complex number to obtain the current load capacity of the vehicle. The recording module is used to record the current carrying capacity of the vehicle and the corresponding time.

The method for calculating the load amount of the present invention comprises the steps of: receiving a positioning signal from each user end; calculating a moving track according to a positioning signal of the user end; and matching the moving track with the path of the vehicle to generate a driving signal; The number of boarding signals generated by the user end to obtain the current carrying capacity of the vehicle; and separately record the current carrying capacity of the vehicle and the corresponding time.

The servo system for statistical load capacity is connected to a plurality of user terminals, wherein each user end includes a positioning module for obtaining a positioning signal. The servo system includes a trajectory calculation module, a route matching module, a statistical module, and a recording module. The trajectory calculation module is configured to receive the positioning signals from the user ends of the plurality of complexes to calculate the movement trajectory according to the positioning signals of the user end. The route matching module is used to match the movement track to the path of the vehicle to generate a ride signal. The statistic module is used to instantly count the number of ride signals generated by the user terminals of the complex number to obtain the current load capacity of the vehicle. The recording module is used to record the current carrying capacity of the vehicle and the corresponding time.

In order to enable the reviewing committee to better understand the technical contents of the present invention, the preferred embodiments are described below.

The following is a schematic diagram of the architecture of the load capacity statistics system of the present invention.

In one embodiment of the present invention, the load amount statistics system 10 can include a plurality of user terminals 20 and a servo system 30 coupled thereto. The user terminal 20 can be implemented by using a hardware device, a software program, a firmware, or a combination thereof provided in a smart mobile communication device, but the present invention is not limited thereto. Each user terminal 20 can include a positioning module 21, a selection module 22, and an inquiry module 23. The positioning module 21 is configured to obtain a positioning signal, for example, to obtain a GPS signal. However, the present invention is not limited to the positioning method. The functions of the selection module 22 and the query module 23 will be described in detail later, and will not be described here.

The servo system 30 is connected to the plurality of user terminals 20 via wired or wireless means. The servo system 30 includes a trajectory calculation module 31, a route matching module 32, a statistic module 33, and a recording module 34. The trajectory calculation module 31 is configured to receive the positioning signal from the at least one user end 20 to calculate a movement trajectory of the user end 20 according to the positioning signal. The positioning signal includes longitude, latitude, altitude, and the like. In addition, the trajectory calculation module 31 can simultaneously receive information such as the user ID and time, but the present invention is not limited thereto. The route matching module 32 is configured to match the movement track to a path of the vehicle. When the route matching module 32 moves the track to the user to take a certain vehicle, the route matching module 32 generates a boarding signal. The vehicle may be a vehicle, a ship or an aircraft, etc., and the invention does not limit the type of vehicle. In an embodiment of the present invention, if the path of the vehicle is complicated, the servo system 30 may further provide a path database 35. The path database 35 stores the paths of various types of vehicles, and can be automatically connected to an external transportation agency (not shown) to download a path table that various types of vehicles can exercise or various vehicles on the road. location. In this way, the route matching module 32 reads the path database 35 and the movement track obtained by the pairing, so as to know the path that the vehicle will exercise. In addition, different vehicles may travel along the same path, so different vehicles will get the same trajectory. In order to reduce the probability of confusion, in each embodiment of the present invention, each user terminal 20 may include a selection module 22 for a user to directly select a vehicle number and provide the route pairing. The module 32 is used to know the boarding signal. When the plurality of user terminals 20 generate the same positioning signal at the same time, the route matching module 32 determines that the plurality of users ride the same vehicle to generate a boarding signal for the same vehicle to reduce The time determined by the route matching module 32.

After a plurality of user terminals 20 are used to generate a plurality of boarding signals, the statistics module 33 is configured to count the plurality of boarding signals to obtain the current carrying capacity of one of the vehicles. For example, if there are 10 different user terminals 20 generating signals on the same bus, it can be known that the current carrying capacity of the bus is 10 people. The last recording module 34 is configured to separately record the current carrying capacity and a corresponding time of each vehicle. In this way, each user can know the current carrying capacity of each vehicle from the recording module 34 by using the query module 23. In addition, the recording module 34 also records the corresponding time and the ride record of the vehicle's carrying capacity. For example, the recording module 34 can simultaneously record data of 10 people at 8:00 am and 20 persons at 9:00 am. The ride record includes the user's daily waiting car record, vehicle record, walking path record, walking speed and time record.

On the other hand, when the trajectory calculation module 31 calculates that the movement trajectory does not conform to the path of the vehicle, it can be inferred that the user has got off the vehicle, so the route matching module 32 generates a vehicle signal and makes the record The module 34 clears the boarding signal to change the current carrying capacity and the ride record of the vehicle. In this way, the recording module 34 can record the amount of load that each vehicle will have at a certain point in time, and the time when the user is accustomed to where and when to get on, off, and on which vehicle.

The servo system 30 further includes a first type of prediction module 36, and the first type of prediction module 36 is used to predict the first type of predicted load. The first type of predicted carrying capacity is that the user predicts the carrying capacity of one of the vehicles that the user may be riding when the user is in a stationary state, that is, when the positioning signal does not change within a certain time, the first type The prediction module 36 first confirms whether the user terminal 20 is at a certain station location and whether the user has a record of the vehicle at the station according to the positioning signal. If the user has a vehicle waiting at the station according to the previous travel record, the first type of prediction module 36 is configured to transmit the first type of predicted load of all vehicles according to the positioning signal, the travel record and the corresponding time. Up to the at least one user end 20. The prediction method can be that if the user has used the frequent or frequent bus No. 1 and No. 2 on the stop sign, the first type of prediction module 36 provides the first and second bus of the nearest shift. A type of predicted carrying capacity may include the current carrying capacity of the 1st and 2nd buses that are about to enter the station or the following number of shifts and the predicted type of predicted carrying capacity when arriving at the station, including the predicted 1st and 2nd buses. The number of passengers who may get on and off at the station, from the previous station to the first two stations. The first type of predictive load is also updated to the recording module 34. The user terminal 20 can immediately query the first type of predicted load of the vehicle by the query module 23, and the user can decide whether to board, or It is to continue waiting for the next bus.

The servo system 30 further includes a second type of prediction module 37, and a second type of prediction module 37 for predicting the second type of predicted load. The second type of predicted carrying capacity is the predicted carrying capacity of the station that the user may arrive and the vehicle that may be boarding when the user is in a walking condition, that is, when the positioning signal changes, the second type of prediction The module 37 is configured to confirm, according to the trajectory of the positioning signal, that the user terminal 20 is approaching a certain station position and to know whether the user has a record at the station or not according to the passenger record. If the user is determined to walk to the stop sign according to the trajectory of the positioning signal, and the user has a record of waiting at the station, the second type of prediction module 37 is configured to automatically follow the travel record and the corresponding time when the user walks. A second type of predicted carrying capacity of the vehicle that the user may be riding on is predicted. For example, if the user has used the 1st and 2nd buses on the moving station, the second type of prediction module 37 provides the second type of predicted carrying capacity of the 1st and 2nd buses, which can be used by the user. The walking speed predicts that when the user arrives at the stop sign, he is about to enter the station or the number of buses of the first and second buses, and further know the current carrying capacity of the 1st and 2nd buses and the predicted arrival at the station. The second type of predicted carrying capacity includes the number of passengers who are expected to enter the station, and the number of passengers who may get on and off the station from the previous station to the first two stations. After the second type of predicted bearer is updated to the record module 34, the user terminal 20 can query the second type of predictive load of the vehicle by the query module 23.

In addition to being configurable as a hardware device, a software program, a firmware, or a combination thereof, each of the above modules may also be configured by a circuit loop or other suitable type; and, in addition to being individually configurable, each module may also be combined. Type configuration. In addition, the present embodiment is merely illustrative of preferred embodiments of the present invention, and in order to avoid redundancy, all possible combinations of variations are not described in detail. However, those of ordinary skill in the art will appreciate that the various modules or components described above are not necessarily required. In order to implement the invention, other well-known modules or elements of more detail may also be included. Each module or component may be omitted or modified as needed, and no other modules or components may exist between any two modules.

Next, please refer to FIG. 2, which is a flow chart of the steps of the method for calculating the carrying amount of the present invention. It should be noted that the following describes the method for calculating the carrying capacity of the present invention by using the above-mentioned carrying capacity counting system 10 as an example. However, the method for calculating the carrying capacity of the present invention does not It is limited to use the load amount counting system 10 of the same structure described above.

First, step 201 is performed: receiving a positioning signal from each user end.

The trajectory computing module 31 is configured to receive the positioning signal from the at least one user terminal 20 .

Next, step 202 is performed: calculating a movement trajectory according to the positioning signal of the user end.

Next, the trajectory calculation module 31 calculates the movement trajectory of the user end 20 based on the positioning signal.

Then, step 203 is performed: the moving track is paired with a path of the vehicle to generate a boarding signal.

At this time, the route matching module 32 is configured to match the movement track to a path of the vehicle to generate a boarding signal.

Step 204: Instantly count the number of the riding signals generated by the user end of the plurality of digits, thereby obtaining the current carrying capacity of one of the vehicles.

After the plurality of boarding signals are generated, the statistic module 33 is configured to instantly count the number of the boarding signals of the plurality of user terminals 20, thereby obtaining the carrying capacity of one of the vehicles.

Then proceed to step 205: record the current carrying capacity and a corresponding time of each vehicle separately.

The recording module 34 is configured to record the load amount and corresponding time of each vehicle separately. Each user terminal 20 further includes an inquiry module 23 for a user to know the current capacity of each vehicle from the recording module 34.

Next, please refer to FIG. 3, which is a flow chart of the steps of the method for static prediction of the present invention.

Before performing the static prediction method, step 300 may be performed: recording a plurality of ride records of the plurality of user ends, wherein the plurality of ride records includes one of the user's daily waiting records and one of the plurality of users Take the vehicle record.

After the step 205 described above, in addition to recording the load amount and the corresponding time of each vehicle, the recording module 34 can simultaneously record one of the plural number of user terminals and one vehicle record. .

Therefore, the static prediction method of the present invention first performs step 301: when the positioning signal is not changed within a certain time, it is determined whether a user is located next to the stop sign of a vehicle from the plurality of travel records. There is a record of waiting for the bus at the stop.

When the positioning signal is not changed within a certain time, the first type prediction module 36 first confirms whether the user terminal 20 is next to the stop sign of a certain vehicle and reads the plural travel record according to the positioning signal, so as to know Whether the user has a record of the bus waiting for the stop.

If the user is located next to the stop sign of a certain vehicle and the user has a vehicle waiting at the stop card according to the previous record, proceed to step 302: predicting the first one of the vehicles according to the positioning signal and the corresponding time Class predictive load.

The first type of prediction module 36 is configured to transmit a first type of predicted bearer of all the vehicles to the at least one user terminal 20 according to the positioning signal, the ride record, and the corresponding time.

Finally, step 303 is performed: recording the first type of predicted bearer.

The predicted load capacity is also updated to the recording module 34, so that the user terminal 20 can immediately query the first type of predicted load of the vehicle by the query module 23.

Next, please refer to FIG. 4, which is a flow chart of the steps of the method for dynamic prediction of the present invention.

Before performing the static prediction method, step 400 may be performed: recording a plurality of ride records of the plurality of user ends, wherein the plurality of ride records includes one of the plurality of users' walking path records and a walking speed and Time record.

After the above steps 205 and 300, in addition to the recording module 34, in addition to recording the carrying capacity of each vehicle, the corresponding time, one of the user's daily waiting car records, and a boarding vehicle record, One of the user's walking path records and a walking speed and time record can be recorded simultaneously.

Therefore, the method for dynamic prediction of the present invention first performs step 401: when the positioning signal is changed, determining whether the user is going to a stop sign of a vehicle and whether there is a stop sign, etc. from the plurality of ride records. The record of the car.

When the positioning signal is changed, the second type prediction module 37 is configured to confirm, according to the trajectory of the positioning signal, whether the user terminal 20 is going to a station position and reading a plurality of riding records to know whether the user is There is a record of waiting at the station.

If it is determined according to the trajectory of the positioning signal that the user walks to the stop sign, and the user has a record of waiting at the station, step 402 is performed: automatically predicting one of the vehicles according to the trajectory of the positioning signal and the corresponding time. The second type of predicted carrying capacity.

The second type of prediction module 37 is configured to automatically predict a second type of predicted carrying capacity of the vehicle that the user may be riding when the user walks according to the riding record and the corresponding time.

Finally, step 403 is performed: recording the second type of predicted bearer.

The second type of predictive load is also updated to the recording module 34, so that the user terminal 20 can query the second type of predicted load of the vehicle by the query module 23.

It should be noted here that the method for calculating the carrying amount of the present invention is not limited to the above-described order of steps, and the order of the above steps may be changed as long as the object of the present invention can be achieved.

The load-carrying statistics system 10 of the present invention and the method for calculating the load amount thereof, that is, the user knows in time the passenger load factor of the vehicle to be boarded.

It should be noted that the above is only an embodiment, and is not limited to the embodiment. For example, those who do not depart from the basic structure of the present invention should be bound by the scope of the patent, and the scope of the patent application shall prevail.

10‧‧‧ Carrying Capacity Statistics System
20‧‧‧User side
21‧‧‧ Positioning Module
22‧‧‧Selection module
23‧‧‧Query Module
30‧‧‧Servo system
31‧‧‧Track Calculation Module
32‧‧‧ route matching module
33‧‧‧Statistical Module
34‧‧‧recording module
35‧‧‧Path database
36‧‧‧First type prediction module
37‧‧‧Second type prediction module

1 is a schematic diagram of the architecture of a load capacity statistics system of the present invention. 2 is a flow chart showing the steps of the method for calculating the load amount of the present invention. 3 is a flow chart showing the steps of the method for static prediction of the present invention. 4 is a flow chart showing the steps of the method of dynamic prediction of the present invention.

10‧‧‧ Carrying Capacity Statistics System

20‧‧‧User side

21‧‧‧ Positioning Module

22‧‧‧Selection module

23‧‧‧Query Module

30‧‧‧Servo system

31‧‧‧Track Calculation Module

32‧‧‧ route matching module

33‧‧‧Statistical Module

34‧‧‧recording module

35‧‧‧Path database

36‧‧‧First type prediction module

37‧‧‧Second type prediction module

Claims (20)

A load quantity statistics system, the load quantity statistics system includes: a plurality of user terminals, wherein each user end includes: a positioning module for obtaining a positioning signal; and a servo system for using the plurality of The servo system includes: a trajectory computing module, configured to receive the positioning signal from the user end of the plurality of multiplexes to calculate a moving trajectory according to the positioning signal of the user end; a group for matching the movement path to a vehicle path to generate a boarding signal; a statistical module for instantly counting the number of the boarding signals generated by the plurality of user terminals, thereby obtaining the vehicle a current carrying capacity; and a recording module for separately recording the current carrying capacity of the vehicle and a corresponding time. The carrying capacity statistics system of claim 1, wherein: the recording module further comprises a plurality of ride records recording the plurality of user ends of the plurality, wherein the plurality of ride records includes the plurality of rides One of the daily waiting car records and one of the vehicle records; the servo system further includes a first type of prediction module, and when the positioning signal is not changed within a certain time, the first type of prediction module is used for Determining whether a user is located next to a stop sign of a vehicle and whether there is a record of the vehicle waiting at the stop sign; if so, the first type of prediction module is based on the positioning signal and the corresponding time Predicting a first type of predicted carrying capacity of the vehicle and recording the same in the recording module, wherein the first type of predicted carrying capacity is that the user may be in a stationary state, predicting that the user may board The load of the vehicle. The load-bearing statistics system of claim 2, wherein the plurality of ride records further includes a travel path record of the plurality of users and a travel speed and time record, the servo system further including a second The second type of predictive module is configured to determine, from the plurality of ride records, whether the user is going to a stop sign of the vehicle and whether there is a bus waiting at the stop sign when the positioning signal is changed. The second type of prediction module automatically predicts a second type of predicted carrying capacity of the vehicle based on the trajectory of the positioning signal and the corresponding time, and records the same in the recording module, wherein the The second type of predicted carrying capacity is the predicted amount of the station that the user may arrive at and the number of times the vehicle may be boarded when the user is in a mobile state. The load-bearing statistics system of any one of the preceding claims, wherein each of the user terminals further includes a query module for the user to query the record module. The load quantity statistics system of claim 1, wherein the servo system further comprises a path database, wherein the route matching module reads the path database to learn the path of the vehicle. The load-bearing statistics system of claim 1, wherein when the plurality of user terminals generate the same positioning signal at the same time, the route matching module determines that the plurality of user terminals are the same. Vehicles are used to generate ride signals for the same vehicle. The load quantity statistics system of claim 1, wherein the route calculation module calculates that the movement track does not conform to the path of the vehicle, and the route matching module generates a vehicle signal and makes the The recording module clears the boarding signal to change the current carrying capacity of the vehicle and the ride record of the user end. A load quantity statistics method is used for a load quantity statistics system, the load quantity statistics system includes a servo system and a plurality of user terminals, the method comprising the steps of: receiving a positioning signal from each user end; The positioning signal of the user end calculates a movement trajectory; the movement trajectory is paired with a path of the vehicle to generate a boarding signal; and the number of the boarding signals generated by the user end of the plurality of digits is instantly counted, thereby obtaining the traffic. One of the tools currently carries the amount; and separately records the current carrying capacity of the vehicle and a corresponding time. The method for calculating the load amount according to claim 8 of the patent application further includes the following steps: recording a plurality of ride records of the plurality of user ends, wherein the plurality of ride records includes the user of the plurality a daily waiting car record and a boarding vehicle record; when the positioning signal has not changed within a certain period of time, it is further determined from the plurality of car travel records whether a user is located next to a vehicle stop sign and whether there is a record of the vehicle waiting at the stop; if yes, predicting a first type of predicted load of the vehicle based on the positioning signal and the corresponding time, wherein the first type of predicted carrying capacity is that the user is stationary In the case of the situation, the amount of the vehicle that the user may be riding is predicted; and the first type of predicted carrying capacity is recorded. The method for calculating the carrying amount according to claim 9 , wherein the plurality of riding records further includes a walking path record and a walking speed and time record of the user of the plurality, the method further comprising the following steps: When the positioning signal is changed, it is determined from the plurality of riding records whether the user is going to a stop sign of the vehicle and whether there is a record of the vehicle waiting at the stop sign; if yes, according to the trajectory of the positioning signal and the corresponding Time to automatically predict a second type of predicted carrying capacity of the vehicle, wherein the second type of predicted carrying capacity is when the user is in a mobile condition, predicting the stop sign and possible ride of the user The amount of load of the vehicle; and recording the second type of predicted carrying capacity. The method for carrying amount statistics according to claim 10 of the patent application, further comprising the step of the user querying the current carrying capacity of each vehicle, the first type of predicted carrying capacity or the second type of predicted carrying capacity. . The method for calculating the load amount described in claim 8 of the patent application further includes the step of reading a path database to learn the path of the vehicle. The method for calculating the load amount according to claim 8 of the patent application further includes the following steps: when the user end of the plurality of digits generates the same positioning signal at the same time, determining that the plurality of users ride the same vehicle In order to generate the same boarding signal. The method for calculating the load amount according to claim 8 of the patent application further includes the following steps: when calculating that the movement track does not conform to the path of the vehicle, generating a vehicle signal; and changing the vehicle Current carrying capacity and the ride record of the user end. A servo system for statistically carrying a load is connected to a plurality of user terminals, wherein each user end includes a positioning module for obtaining a positioning signal; wherein the servo system comprises: a track computing module, Receiving the positioning signal from the user end of the plurality of digits to calculate a movement track according to the positioning signal of the user end; a route matching module for matching the movement track to a path of the vehicle, Generating a ride signal; a statistical module for instantly counting the number of the ride signals generated by the user terminal of the plurality of digits, thereby obtaining a current load amount of the vehicle; and a recording module for separately recording the The current carrying capacity of the vehicle and a corresponding time. The servo system for statistical load capacity described in claim 15 wherein: the recording module further comprises a plurality of ride records recording the plurality of user ends of the plurality, wherein the plurality of ride records include the One of the plurality of user terminals is a daily waiting vehicle record and a boarding vehicle record; the servo system further includes a first type of prediction module, and the first type of prediction mode is not changed when the positioning signal is not changed within a specific time. The group is used to determine whether a user is located next to a stop sign of a vehicle and whether there is a record of the bus at the stop sign; if so, the first type of predictive module is based on the position signal and The corresponding time is used to predict a first type of predicted carrying capacity of the vehicle, and is recorded in the recording module, wherein the first type of predicted carrying capacity is predicted when the user is in a stationary state. The amount of load that the user may take on the vehicle. The servo system for statistical load capacity according to claim 16 , wherein the plurality of travel records further includes a travel path record of the user of the plurality and a travel speed and time record, and the servo system further Including a second type of prediction module, when the positioning signal is changed, the second type of prediction module is configured to determine, from the plurality of travel records, whether the user is going to a stop sign of a vehicle and whether there is a The record of the stop sign and the like; if yes, the second type of predictive module automatically predicts the second type of predictive carrying capacity of the vehicle based on the trajectory of the positioning signal and the corresponding time, and records in the recording module The second type of predicted carrying capacity is the predicted amount of the stop sign that the user may arrive and the number of times the vehicle may be boarded when the user is in a mobile state. The servo system for statistical load capacity according to claim 15 , wherein the servo system further comprises a path database, wherein the route matching module reads the path database to learn the path of the vehicle. . The servo system for statistical load capacity according to claim 15, wherein when the plurality of user terminals generate the same positioning signal at the same time, the route matching module determines the user end of the plural number. Take the same means of transportation to generate the same signal for the same vehicle. The servo system for statistical load capacity according to claim 15, wherein the route calculation module generates a vehicle signal when the trajectory calculation module calculates that the movement trajectory does not conform to the path of the vehicle. And causing the recording module to clear the boarding signal to change the current carrying capacity of the vehicle and the riding record of the user end.