TW201316280A - Loading passenger number inquiring system and loading passenger number predicting method - Google Patents

Abstract

A loading passenger number inquiring system and a loading passenger number predicting method are provided. The loading passenger number inquiring system receives a boarding stop from a user, and receives a driving spot from a public transportation via wireless network. The loading passenger number inquiring system determines a driving period between the boarding stop and the driving spot. The loading passenger number inquiring system calculates a boarding stop waiting passenger number according to the driving period and a unit time arriving passenger number statistic of the boarding stop, and receives a current passenger number from the public transportation via wireless network. The loading passenger number inquiring system calculates a predicting boarding stop passenger number according to the boarding stop waiting passenger number, the current passenger number and a boarding stop unloading passenger number statistic.

Description

Passenger counting system and method for predicting the number of passengers

The present invention relates to a passenger occupancy inquiry system and a method for predicting the number of passengers. More specifically, the passenger number inquiry system and the passenger number prediction method of the present invention can calculate the number of possible passengers at each station by evaluating the measurement.

Mass transit vehicles are indispensable public facilities in modern life. Through well-planned routes, mass transit vehicles can make passengers more convenient to travel around the country, and can reduce energy consumption by reducing the use of general vehicles. The purpose of carbon. In order to make the use of mass transit vehicles more flexible, many additional functions have evolved.

For example, in order to reduce the waiting time of the passengers at each station, the mass transit vehicle can make the travel time of the mass transit vehicle predictable through the setting of the positioning device. In detail, the mass transit vehicle can be equipped with a positioning device such as a Global Positioning System (GPS), and the data obtained by the GPS positioning is transmitted to the server through the network, and the server is based on the location of the mass transit vehicle. , the route of operation, the current time (such as the peak or peak) and the site that the passenger wants to take, predicting how long it will take for the mass transit vehicle to travel to the site that the passenger wants to take, so that the passenger can judge whether You must continue to wait, or you can complete the more important itinerary first.

However, the foregoing method of predicting mass transit vehicles can only estimate the travel time. If the passengers wait for the mass transit vehicle at the boarding site according to the estimation result, they find that they can be loaded on the mass transit vehicle. The number of passengers has reached the limit value. Under such circumstances, even if the predicted driving time of the mass transit vehicle is correct, the information has no significant reference value relative to the passengers who cannot travel.

In summary, how to improve the flexibility of the mass transit transport and to enable passengers to arrange their trips more effectively by predicting the number of passengers is an urgent need for the industry.

In order to solve the foregoing problems, the present invention provides a passenger occupancy inquiry system and a method for predicting the number of passengers. The method mainly determines the number of public transportation vehicles at the site by means of prediction, and the passenger decides the subsequent actions.

To accomplish the foregoing objects, the present invention provides a method for predicting the number of passengers used in a passenger occupancy inquiry system. The passenger enquiry system is connected to the mass transit vehicle via a wireless network. The method for predicting the number of passengers includes the following steps: (a) having the passenger enquiry system receive the first boarding point input by the user and receiving the driving point of the mass transit vehicle through the wireless network; (b) querying the number of passengers The system determines the first driving time of the mass transit vehicle from the driving point to the first boarding point; (c) calculating the passenger number inquiry system according to the first driving time and the first unit time arrival number of the first boarding point (1) The number of passengers on the passengers to receive the mass transit passengers through the wireless network; (e) the number of passengers enquiring system based on the number of waiting passengers on the first boarding point, instant ride The number of passengers and the number of unloading persons at the first boarding point are calculated to calculate the number of passengers in the first boarding point.

To accomplish the foregoing objects, the present invention further provides a passenger occupancy inquiry system that is connected to a mass transit vehicle via a wireless network. The passenger number inquiry system includes an input module, a transceiver, a processor, and a memory. The input module is configured to receive a first ride point input by the user. The transceiver is configured to receive the driving point of the mass transit vehicle through the wireless network. The processor is configured to determine a first travel time of the mass transit vehicle traveling from the driving point to the first boarding point, and calculate the waiting number of the first boarding point according to the first driving time and the first unit time arrival number of the first boarding point . The transceiver is also used to receive the instantaneous passenger number of the mass transit vehicle through the wireless network. The processor is further configured to calculate the first boarding point predicted number of passengers according to the first boarding point waiting number, the instantaneous number of passengers, and the first boarding point unloading number. The statistical value of the first unit time arrival number of the first boarding point and the first boarding point unloading number are stored in the memory.

Through the above-mentioned technical features, the passenger number inquiry system and the passenger number prediction method of the present invention can accurately predict the number of passengers at each station of the mass transit vehicle, and the passenger further judges whether to continue waiting for other trips. Other objects of the present invention, as well as the technical means and implementations of the present invention, will be apparent to those skilled in the art in view of the appended claims.

The contents of the present invention will be explained below by way of examples. However, the embodiments of the present invention are not intended to limit the invention to any environment, application, or manner as described in the embodiments. Therefore, the description of the embodiments is merely illustrative of the invention and is not intended to limit the invention. It should be noted that in the following embodiments and illustrations, elements that are not directly related to the present invention have been omitted and are not shown.

It should be emphasized that, for convenience of explanation, the bus will be taken as an example of the mass transit vehicle. However, it is not intended to limit the implementation of the present invention, and those skilled in the art can easily think about the transportation system other than the bus. Please refer to Figure 1A and Figure 1B together. 1A is a schematic diagram of the operating environment of the passenger number inquiry system 1 of the first embodiment of the present invention. The passenger number inquiry system 1 is connected to a bus (public transportation vehicle) 6 via a wireless network 2. FIG. 1B is a schematic diagram of the passenger number inquiry system 1 of the first embodiment of the present invention. The passenger number inquiry system 1 includes an input module 11, a transceiver 13, a processor 15, and a memory 17. The interaction between components will be further elaborated below.

When a user 7 wants to take a bus 6 to a first boarding point A, the user 7 can first predict the number of passengers that the bus 6 reaches the first boarding point A through the passenger number inquiry system 1. Among them, the method of predicting the number of passengers must consider at least three factors: the number of waiting persons before the arrival of the first and first boarding points A on the bus 6; the second, the number of passengers on the bus 6; the third, the bus 6 The number of people who will be unloaded when they arrive at the first boarding point A. The calculation of the three reference factors will be described in the following in the first embodiment.

First, the calculation method of the number of waiting persons generated by the first boarding point A before the arrival of the bus 6 will be described. Specifically, the user 7 first inputs the information of the first boarding point A of the desired vehicle through the input module 11 of the passenger number inquiry system 1, and receives the first input of the user 7 when the input module 11 receives the input. After boarding point A, the passenger number inquiry system 1 must first know the exact location of the bus 6 and then determine the route and time required for the bus 6 to reach the first boarding point A as the estimated first boarding point A. The basic basis for waiting for the number of people. Accordingly, the transceiver 11 can now receive information about the travel point D of one of the buses 6 via the wireless network 2.

It should be emphasized that the bus 6 can complete the coordinate positioning of the driving point D through the setting of related devices such as a Global Positioning System (GPS), and transmit the driving point D back to the passenger number inquiry system 1 through the network. On the other hand, similarly, the first boarding point A input by the user 7 can also be converted into a GPS coordinate form, which is used by the passenger number inquiry system 1. Since the positioning is a conventional technique, its details will not be described again.

When the driving time is relatively long, the number of people waiting for the bus 6 at the first boarding point A is also accumulated. Therefore, the processor 15 of the passenger number inquiry system 1 firstly follows the driving points of the first boarding point A and the bus 6. D, judging the route required for the bus 6 to travel, and calculating a first travel time T ₁ required for the bus 6 to travel from the travel point D to the first ride point A.

Then, it should be specially stated that since the first boarding point A will generate a corresponding waiting number per unit time with the regionality and the time zone, the corresponding waiting person can obtain a reliable average by means of statistics. Value, therefore, the first unit time arrival number statistic U _{1 of the} first boarding point A can be obtained by prior statistics and stored in the memory 17, so that the passenger number inquiry system 1 The processor 15 can calculate one of the accumulated points of the first boarding point A when the bus 6 is from the driving point D to the first boarding point A according to the first driving time T ₁ and the first unit time arrival number statistic value U ₁ . The number of people waiting for a ride is N ₁ . Wherein, in the first embodiment, N ₁ = T ₁ * U ₁ .

When the first number of waiting points N _{1 is} calculated, the number of passengers on the bus 6 must be considered. In detail, the transceiver 13 of the passenger number inquiry system 1 can receive the immediate passenger R of the bus 6 via the wireless network 2. For example, the aforementioned instant passenger R can sense and record the state of the passenger when getting on and off by means of setting the sensor at the door of the bus 6 to obtain a precise instant passenger R.

Finally, consider the number of people unloaded when the bus 6 arrives at the first boarding point A. Similarly, the first boarding point A will have a corresponding number of unloadings when the bus 6 enters the station, and the corresponding number of unloading persons can also obtain a reliable average by statistical means. Therefore, the first boarding point unloading number L _{1 of the} first boarding point A can be obtained by pre-statistics and stored in the memory 17.

In summary, when the factor affecting the predicted number of passengers is obtained through the pre-existing method, the passenger number inquiry system 1 can predict the number of passengers that the bus 6 may reach when reaching the first boarding point A, in other words, multiply The processor 15 of the number of people querying system 1 can calculate the first boarding point prediction multiplication of the first boarding A according to the first boarding point waiting number N ₁ , the immediate boarding number R 1 and the first boarding point unloading number statistic value L ₁ The number of passengers P ₁ is provided, and the first riding point is predicted to predict the number of passengers P ₁ to the user 7, so that the user 7 can determine whether the first riding point is required according to the first riding point predicted passenger number P ₁ . A waiting for the bus 6. Wherein, in the first embodiment, P ₁ = R + N _{1 -} L ₁ .

It should be noted that the first embodiment of the first embodiment is only a schematic diagram, and is not intended to limit the setting manner of the passenger number inquiry system 1. Further, the passenger number inquiry system 1 can be set at the first boarding point A, and the user 7 can directly perform the operation of the passenger number inquiry system 1 directly at the first boarding point A to obtain the first boarding point prediction loading. The number of people P ₁ ; or the number of passengers query system 1 can be a remote server, and the user 7 can use the mobile device to connect the passenger number inquiry system 1 through the network connection to obtain the first boarding point prediction multiplication Number of passengers P ₁ .

In the manner of the first embodiment, the passenger number inquiry system 1 can provide the first boarding point predicted number of passengers P ₁ predicted by the user 7 , and if the first boarding point is to predict the result of the number of passengers P ₁ For accuracy, different considerations can be added. Please refer to FIG. 2, which is a schematic diagram of the passenger number inquiry system 1 of the second embodiment of the present invention. It should be noted that the hardware structure and the network connection environment of the first embodiment are similar to those of the first embodiment, and the second embodiment is different from the first embodiment in that the second embodiment is different from the first embodiment. The memory 17 further stores a first passenger waiting time upper limit statistic value b ₁ .

Specifically, in the first travel time T ₁ required for the bus 6 to travel from the travel point D to the first ride point A, the passenger waiting for the bus 6 at the first ride point A may not have arrived on the bus 6 due to various factors. The first boarding point A is left before the station, so the relevant factors affecting the number of people can also be taken into consideration. Further, in the second embodiment, when the processor 15 calculates the first boarding point waiting number N ₁ , in addition to the first unit time arrival number statistic value U ₁ , the first passenger waiting time limit must be considered simultaneously. The statistical value b ₁ , in this way, the prediction result of the first riding point waiting number N ₁ is also more accurate, and the accuracy of the first riding point predicted riding number P ₁ is relatively increased. Wherein, in the second embodiment, N ₁ = (T ₁ - b ₁ ) * U ₁ .

Then consider another factor. Please refer to FIG. 3, which is a schematic diagram of the passenger number inquiry system 1 of the third embodiment of the present invention. Similarly, in the third embodiment, the hardware structure and the network connection environment of the first embodiment are similar, and the details are not described herein. The third embodiment differs from the first embodiment in that, in the second embodiment, The memory 17 further stores a first boarding point weight w ₁ .

Specifically, the number of waiting people generated at each boarding point will vary depending on the regionality. For example, comparing the boarding point of Taipei Station with the boarding point of the bus starting point, it is obvious that waiting at Taipei Station The number of people will be more than the waiting number of the starting point of the bus. Therefore, the relevant factors affecting the number of people can also be taken into account. Further, in the third embodiment, the processor 15 is further configured according to the first boarding point waiting number N ₁ , the immediate boarding number R, the first boarding point unloading number statistic value L _{1 ,} and the first boarding point weight value w ₁ Calculate the predicted number of passengers P ₁ of the first boarding point of the first boarding A. As a result, the accuracy of the first boarding point predicted number of passengers P ₁ is also relatively increased. Wherein, in the third embodiment, P ₁ = (R + N ₁ * w _{1 -} L ₁ ) / w ₁ .

Next, the technique of the present invention will be explained in a more general example. Please refer to Figure 4A and Figure 4B together. 4A is a schematic diagram of an operating environment of the passenger number inquiry system 1 according to the fourth embodiment of the present invention, and FIG. 4B is a schematic diagram of the passenger number inquiry system 1 according to the fourth embodiment of the present invention. It should be noted that the fourth embodiment is similar to the hardware structure and the network connection environment of the first embodiment, and is not described here again, and the fourth embodiment is different from the first embodiment in the fourth embodiment. The bus 6 passes between the driving point D and the first boarding point A to which the user 7 wants to travel, and passes through a second boarding point B.

Similarly, in the fourth embodiment, when the user 7 wants to take the bus 6 to the first boarding point A, the user 7 can first predict the arrival of the bus 6 to the first boarding point A through the passenger number inquiry system 1. Number of people. It should be noted that, as in the first embodiment, there are three factors to be considered in the manner of predicting the number of passengers. However, in the fourth embodiment, the judgment of the three factors will be slightly different. In detail, the three factors are the number of waiting persons generated by the first and first boarding points A before the arrival of the bus 6 and the waiting number of the second boarding point B before the arrival of the bus 6; The number of passengers on the bus 6; the number of people who unloaded when the bus 6 reached the first boarding point A and the number of people who unloaded when the bus 6 reached the second boarding point B.

First, the calculation method of the waiting number of the first boarding point A before the arrival of the bus 6 and the waiting number of the second boarding point B before the arrival of the bus 6 will be described. Specifically, the user 7 first inputs the information of the first boarding point A of the desired vehicle through the input module 11 of the passenger number inquiry system 1, and receives the first input of the user 7 when the input module 11 receives the input. After boarding point A, the passenger number inquiry system 1 must first know the exact location of the bus 6 and then determine the route and time required for the bus 6 to reach the first boarding point A as the estimated first boarding point A. The basic basis for waiting for the number of people. Similarly, the transceiver 11 has to receive information about the travel point D of the bus 6 via the wireless network 2 at this time. Among them, the bus 6 arrives at the path of the first boarding point A, and will pass the second boarding point B.

Accordingly, the processor 15 of the passenger number inquiry system 1 determines the route required for the bus 6 based on the first boarding point A and the driving point D of the bus 6, and calculates the bus 6 from the driving point D to the first The first travel time T ₁ required to take the point A; meanwhile, since the bus 6 will travel through the second boarding point B, the processor 15 determines the required travel of the bus 6 based on the second boarding point A and the driving point D of the bus 6. The path is used to calculate a second travel time T ₂ required for the bus 6 to travel from the travel point D to the second ride point B.

Then, in the same manner, the first boarding point A and the second boarding point B generate corresponding waiting persons in each unit time according to the regionality and the time section, and the corresponding waiting person can be statistically to obtain reliable average, therefore, take the first available point A of a first unit time reaches the number of statistical values U ₁ and a second one of the second take the point B per unit time reaches the value U ₂ through demographic statistics of the prior embodiment, It is stored in the memory 17.

In this way, the processor 15 of the passenger number inquiry system 1 can calculate the bus 6 from the travel point D to the first boarding point A according to the first travel time T ₁ and the first unit time arrival number statistics U ₁ . The first boarding point waiting number N ₁ accumulated by the first boarding point A, and calculating the bus 6 from the driving point D to the second boarding according to the second driving time T ₂ and the second unit time arrival number statistic value U ₂ At point B, one of the second boarding points accumulated by the second boarding point B waits for the number N ₂ . Wherein, in the fourth embodiment, N ₁ = T ₁ * U ₁ , N ₂ = T ₂ * U ₂ .

When the first boarding point waiting number N ₁ and the second boarding point waiting number N _{2 are} calculated, the number of the original passengers on the bus 6 needs to be considered. Similarly, the transceiver 13 of the passenger number inquiry system 1 can receive the immediate passenger R of the bus 6 through the wireless network 2, and details are not described herein again.

Finally, it is necessary to consider the number of people unloaded when the bus 6 arrives at the first boarding point A and the second boarding point B. Similarly, the first boarding point A and the second boarding point B may generate corresponding unloading numbers when the bus 6 enters the station according to the difference of the regionality and the time section, and the corresponding unloading number may also pass statistics. The method obtains a reliable average value. Therefore, the first boarding point unloading number statistic value L _{1 of the} first boarding point A and the second boarding point unloading number statistic value L of the first boarding point B can be obtained by prior statistics. ₂ and store it in the memory 17.

In summary, when the factor affecting the predicted number of passengers is obtained through the pre-existing method, the passenger number inquiry system 1 can predict the possible difference between the bus 6 and the first boarding point A and the second boarding point B. The number of passengers, in other words, the processor 15 of the passenger number inquiry system 1 can be based on the first number of waiting places N ₁ , the second number of waiting places N ₂ , the number of immediate passengers R, and the first number of people who can be unloaded. L ₁ and the second boarding point unloading number of people L ₂ , calculating the first boarding point predicted number of passengers P _{1 of the} first boarding A, and providing the first boarding point predicted number of passengers P ₁ to the user 7, such that , the user can take the number 7 manned P ₁ determined based on the first point to predict whether it is necessary to take the first ride point A to wait for the bus 6. Wherein, in the first embodiment, P ₁ = + R + N ₁ + N _{2 -} L _{1 -} L ₂ .

In the manner of the fourth embodiment, the passenger number inquiry system 1 can provide the first boarding point predicted passenger number P ₁ predicted by the user 7 , and similarly, if the first boarding point is to predict the number of passengers P ₁ The results are more precise and can add different considerations. Please refer to FIG. 5, which is a schematic diagram of the passenger number inquiry system 1 of the fifth embodiment of the present invention. It should be noted that the fifth embodiment is similar to the hardware structure and the network connection environment of the fourth embodiment, and details are not described herein, and the fifth embodiment differs from the fourth embodiment in that the fifth embodiment The memory 17 further stores a first passenger waiting time upper limit statistic value B ₁ and a second passenger waiting time upper limit statistic value B ₂ .

Specifically, in the travel time required for the bus 6 to travel from the travel point D to each of the ride points, the passenger waiting for the bus 6 at each boarding point may leave the boarding point before the bus 6 has arrived at the station due to various factors. The number of people leaving at each ride can also be taken into account. Further, in the second embodiment, when the processor 15 calculates the first boarding point waiting number N ₁ , in addition to the first unit time arrival number statistic value U ₁ , the first passenger waiting time limit must be considered simultaneously. Statistical value B ₁ ; Similarly, when the processor 15 calculates the second number of passengers waiting for the destination N ₂ , in addition to the second unit time arrival number statistic U ₂ , the second passenger waiting time upper limit statistic B ₂ must be considered simultaneously. In this way, the prediction results of the first boarding point waiting number N ₁ and the second boarding point waiting number N ₂ are also more accurate. In contrast, the accuracy of the first boarding point prediction passenger number P ₁ is relatively increased. Wherein, in the fifth embodiment, N ₁ = (T ₁ - B ₁ ) * U ₁ , N ₂ = (T ₂ - B ₂ ) * U ₂ .

Next, based on the technique of the fourth embodiment, another factor is considered at the same time. Please refer to FIG. 6, which is a schematic diagram of the passenger number inquiry system 1 of the sixth embodiment of the present invention. Similarly, in the sixth embodiment, the hardware structure and the network connection environment of the fourth embodiment are similar, and details are not described herein, and the difference between the sixth embodiment and the fourth embodiment is that, in the sixth embodiment, The memory 17 further stores a first boarding point weight W ₁ and a second boarding weight W ₂ .

Similarly, the number of waiting people generated at each boarding point will vary depending on the regionality. Therefore, the factors affecting the number of people who take the site can also be considered. Further, in the sixth embodiment, the processor 15 further determines the number of people waiting for the first boarding point N ₁ , the number of people waiting for the second boarding point N ₂ , the number of people in the immediate riding R, and the number of people in the first boarding point unloading. _{1. The} second boarding point unloading number statistic value L ₂ , the first boarding point weight W ₁ and the second boarding point weight W _{2 are} used to calculate the first boarding point predicted number of passengers P _{1 of the} first boarding A, such that The accuracy of the first boarding point to predict the number of passengers P ₁ is also relatively increased. Wherein, in the third embodiment, P ₁ = (R + N ₁ * W ₁ + N ₂ * W _{2 -} L _{1 -} L ₂ ) / (W ₁ + W ₂ ).

Next, please refer to FIG. 7, which is a schematic diagram of the passenger number inquiry system 1 of the seventh embodiment of the present invention. It should be noted that the seventh embodiment is similar to the hardware structure and the network connection environment of the first embodiment, and will not be further described herein, and the seventh embodiment is different from the first embodiment in that the seventh embodiment In the memory 17, the number of users S is recorded.

In detail, the number of users of the first boarding point A is queried by the passenger number inquiry system 1 and represents the passenger who may go to the first boarding point A. Therefore, it will also affect the first boarding point predicted number of passengers P ₁ . Further, in the seventh embodiment, the processor 15 is further configured to record the number of system users S used by the passenger number query system 1 through the input module 11 in a time interval, and wait according to the first boarding point. The number of people N ₁ , the number of immediate passengers R, the first boarding point unloading number L ₁ and the number of system users S calculate the first boarding point of the first boarding A to predict the number of passengers P ₁ , so that the first boarding point The accuracy of predicting the number of passengers P ₁ is also relatively high. Wherein, in the seventh embodiment, P ₁ = R + N _{1 -} L ₁ + S.

It is to be noted that the various influencing factors described above may be separately referenced as described in the various embodiments, which are not intended to limit the invention. Furthermore, the foregoing various influencing factors can also be referred to in another embodiment. For example, in another implementation manner, the number of passengers on the boarding point can be simultaneously calculated according to the multiple boarding point and the boarding point weight. The passenger waiting time upper limit statistics and the system usage count calculation, so that the accuracy of the multi-point prediction passenger number P ₁ will be more accurate.

Please refer to FIG. 8, which is a schematic diagram of the passenger number inquiry system 1 of the eighth embodiment of the present invention. The passenger number inquiry system 1 of the eighth embodiment is similar to the first embodiment, and the functions of the same component symbols are the same. Therefore, the calculation method of the multi-point prediction passenger number P ₁ will not be described again. It should be noted that the eighth embodiment differs from the first embodiment in that the passenger number inquiry system 1 of the eighth embodiment is further connected to a display module 3.

Specifically, the eighth embodiment of the passenger number inquiry system 2 is further connected to the display module 3, and through the setting of the display module 3, the passenger number inquiry system 2 can calculate the calculated multiplication point prediction passenger number P ₁ 3 is transmitted to the display module, the display module 3 serve to provide a more intuitive manner by the prediction point P ₁ to the number of persons carried by the user.

It should be noted that the implementation of the display device 3 can be a liquid crystal screen, and the first boarding point predicted passenger number P ₁ is directly displayed in the form of a number to the user; or the display device 3 can be a light signal. The percentage points of the first boarding point predicted passenger number P ₁ relative to the maximum number of passengers of the bus 6 are respectively represented by different colors, for example, if the first boarding point predicts the number of passengers P ₁ relative to the bus 6 The percentage of the maximum number of passengers that can be loaded falls from 80% to 100%, and the display device 3 can notify the user of the situation by a red light that is visible to the user. If the first boarding point predicts the maximum number of passengers P ₁ relative to the bus 6 The percentage of the number of rides falls between 0% and 20%, and the green light that the display device 3 can alleviate informs the user of the situation. However, the foregoing content is not intended to limit the implementation of the display module 3 connected to the passenger number inquiry system 2. The display module 3 is intended to facilitate the user to obtain information on the number of passengers on the boarding point.

The ninth embodiment is a method for predicting the number of passengers in the present invention, and the flowchart thereof is referred to FIG. The method of the ninth embodiment is for a passenger number inquiry system (for example, the passenger number inquiry system of the foregoing embodiment), and the passenger number inquiry system is connected to a mass transit vehicle via a wireless network. The detailed steps of the method for predicting the number of passengers in the ninth embodiment are as follows.

First, step 901 is executed to enable the passenger number inquiry system to receive a first boarding point of a user input and receive a driving point of the mass transit vehicle through the wireless network. Wherein, the driving point can be positioned by means of GPS, and the first boarding point can also be converted into a GPS coordinate form for subsequent use. Next, step 902 is executed to determine that the passenger number inquiry system determines that the mass transit vehicle travels from the driving point to the first driving time of one of the first boarding points.

Step 903 is executed to enable the passenger number inquiry system to calculate a first boarding point waiting number according to the first driving time and the first unit time arrival number of the first boarding point. The statistical value of the first unit time arrival number can be obtained by prior statistics and recorded in the passenger number inquiry system. Step 904 is executed to enable the passenger number inquiry system to receive an immediate passenger number of the mass transit vehicle through the wireless network.

Finally, step 905 is executed to enable the passenger number inquiry system to calculate a first boarding point predicted number of passengers based on the first boarding point waiting number, the instant boarding number, and a first boarding point unloading number. The first boarding point predicts the number of passengers to the user. The statistical value of the first boarding point unloading number can be obtained by prior statistics and recorded in the passenger number inquiry system.

In the ninth embodiment, since the passenger at the first boarding point may be considered to leave first, thereby affecting the predicted number of passengers in the first boarding point, the passenger number inquiry system may record the first boarding point in advance. One of the first passenger waiting time upper limit statistics, and the method for predicting the number of passengers is performed after step 902 is performed, and the step of inspecting the first passenger time is based on the first travel time and the first passenger waiting time limit. Calculating the number of waiting persons of the first boarding point by using the statistical value and the first unit time arrival number of the first boarding point, so that the first boarding point waits through the use of the first passenger waiting time upper limit statistical value The calculation result of the number of people will be more accurate, thereby improving the reliability of the number of passengers predicted by the first boarding point.

Similarly, because the number of waiting people generated at each boarding point will vary according to regional differences, the relevant factors affecting the number of people can also be considered. Specifically, the passenger number inquiry system may record the first boarding point weight of the first boarding point in advance, and the method for predicting the number of passengers is performed after step 904 is performed to execute the step 905'. The query system calculates the number of passengers predicted by the first boarding point according to the number of waiting persons of the first boarding point, the number of the immediate passengers, the first boarding point unloading number, and the first boarding point weight, so that the The use of the first ride point weight may improve the reliability of the first ride point to predict the number of passengers.

The tenth embodiment is a method for predicting the number of passengers in the present invention. For the flowchart, please refer to FIG. The method of the tenth embodiment is for a passenger number inquiry system (for example, the passenger number inquiry system of the foregoing embodiment), and the passenger number inquiry system is connected to a mass transit vehicle via a wireless network. The detailed steps of the method for predicting the number of passengers in the tenth embodiment are as follows.

First, step 1001 is executed to enable the passenger number inquiry system to receive a first boarding point of a user input and receive a driving point of the mass transit vehicle through the wireless network. Similarly, the driving point can be positioned by means of GPS, and the first boarding point can also be converted into a GPS coordinate form for subsequent use. Next, step 1002 is executed to determine that the passenger number inquiry system determines that the mass transit vehicle travels from the driving point to the first driving time of one of the first boarding points.

In the tenth embodiment, the driving point and the first boarding point further include a second boarding point. Therefore, step 1003 is performed to enable the passenger number inquiry system to perform the first driving time and the first boarding time. One of the points of the first unit time arrival number is calculated to calculate the number of people waiting for the first boarding point. The statistical value of the first unit time arrival number can be obtained by prior statistics and recorded in the passenger number inquiry system. Step 1004 is executed to enable the passenger number inquiry system to determine that the mass transit vehicle travels from the driving point to the second driving time of one of the second boarding points. Step 1005 is executed to enable the passenger number inquiry system to calculate a second boarding point waiting number according to the second driving time and the second unit time arrival number of the second boarding point. Similarly, the second unit time The arrival number statistics can be obtained by prior statistics and recorded in the passenger enquiry system.

Step 1006 is executed to enable the passenger number inquiry system to receive an immediate passenger number of the mass transit vehicle through the wireless network. Step 1007 is executed to enable the passenger number inquiry system to uninstall according to the first waiting point waiting number, the second waiting point waiting number, the immediate riding number, a first boarding point unloading number, and a second boarding point unloading The number of people counts the number of passengers predicted by the first boarding point. The statistics of the first boarding point unloading number and the second boarding point unloading number are obtained by prior statistics and recorded in the passenger number inquiry system.

Similarly, in the tenth embodiment, since it is considered that the passengers at the first boarding point and the second boarding point may leave first, thereby affecting the number of passengers predicted by the first boarding point, the number of passengers is inquired. The system may record in advance a first passenger waiting time upper limit statistical value of the first riding point and a second passenger waiting time upper limit statistical value of the second riding point. The method for predicting the number of passengers is performed after the step 1002 is performed, and the step 1003' is executed to enable the passenger number query system to determine the first travel time, the first passenger waiting time upper limit statistical value, and the first ride point. The number of arrivals per unit time is calculated to calculate the number of waiting people at the first boarding point.

Similarly, the method for predicting the number of passengers is performed after the step 1004 is performed, and the step 1005' is executed to enable the passenger number query system to calculate the second travel time, the second passenger waiting time upper limit statistical value, and the second boarding point. The second unit time arrival number statistics value is used to calculate the number of waiting persons in the second boarding point. In this way, by using the first passenger waiting time upper limit statistical value and the second passenger waiting time upper limit statistical value, the calculation result of the first waiting point waiting number and the second waiting point waiting number will be more accurate, and further Improve the reliability of the first boarding point to predict the number of passengers.

Similarly, because the number of waiting people generated at each boarding point will vary according to regional differences, the relevant factors affecting the number of people can also be considered. Specifically, the passenger number inquiry system may record, in advance, a first boarding point weight of one of the first boarding points and a second boarding point weight of the second boarding point, and the method for predicting the number of passengers is in the step After the execution of 1006, step 1007' is executed, so that the number of passengers waiting for the number of passengers according to the first boarding point, the number of waiting persons of the second boarding point, the number of people in the instant loading, and the number of people who are unloading the first boarding point, Calculating, by the second boarding point unloading number, the first boarding point weight, and the second boarding point weight, the first boarding point predicted number of passengers, and thus, by using the first boarding point weight, The reliability of the first boarding point to predict the number of passengers will be increased.

The eleventh embodiment is a method for predicting the number of passengers in the present invention, and the flowchart thereof is referred to FIG. The method of the eleventh embodiment is for a passenger number inquiry system (for example, the passenger number inquiry system of the foregoing embodiment), and the passenger number inquiry system is connected to a mass transit vehicle via a wireless network. The detailed steps of the method for predicting the number of passengers in the eleventh embodiment are as follows.

First, step 1101 is executed to enable the passenger number inquiry system to receive a first boarding point of a user input and receive a driving point of the mass transit vehicle through the wireless network. Wherein, the driving point can be positioned by means of GPS, and the first boarding point can also be converted into a GPS coordinate form for subsequent use. Next, step 1102 is executed to determine that the passenger number inquiry system determines that the mass transit vehicle travels from the driving point to the first driving time of one of the first boarding points.

Step 1103 is executed to enable the passenger number inquiry system to calculate a first boarding point waiting number according to the first driving time and the first unit time arrival number of the first boarding point. The statistical value of the first unit time arrival number can be obtained by prior statistics and recorded in the passenger number inquiry system. Step 1104 is executed to enable the passenger number inquiry system to receive an immediate passenger number of the mass transit vehicle through the wireless network. Next, step 1105 is executed to enable the passenger number inquiry system to record the number of system users using the one of the passenger number inquiry systems in a time interval.

Finally, step 1106 is executed to enable the passenger number inquiry system to calculate the first boarding point prediction multiplication according to the first boarding point waiting number, the instant boarding number, the first boarding point unloading number, and the number of users of the system. Number of people. The statistical value of the first boarding point unloading number can be obtained by prior statistics and recorded in the passenger number inquiry system.

The twelfth embodiment is a method for predicting the number of passengers in the present invention. For the flowchart, please refer to FIG. The method of the twelfth embodiment is for a passenger number inquiry system (for example, the passenger number inquiry system of the foregoing embodiment), and the passenger number inquiry system is connected to a mass transit vehicle via a wireless network. The passenger enquiry system is further linked to a display module. The detailed steps of the method for predicting the number of passengers in the twelfth embodiment are as follows.

First, step 1201 is executed to enable the passenger number inquiry system to receive a first boarding point of a user input and receive a driving point of the mass transit vehicle through the wireless network. Wherein, the driving point can be positioned by means of GPS, and the first boarding point can also be converted into a GPS coordinate form for subsequent use. Next, step 1202 is executed to determine that the passenger number inquiry system determines that the mass transit vehicle travels from the driving point to the first driving time of one of the first boarding points.

Step 1203 is executed to enable the passenger number inquiry system to calculate a first boarding point waiting number according to the first driving time and the first unit time arrival number of the first boarding point. The statistical value of the first unit time arrival number can be obtained by prior statistics and recorded in the passenger number inquiry system. Step 1204 is executed to enable the passenger number inquiry system to receive an immediate passenger number of the mass transit vehicle through the wireless network. Step 1205 is executed to enable the passenger number inquiry system to calculate a first boarding point predicted number of passengers based on the first number of boarding point waiting persons, the number of immediate boarding numbers, and a first boarding point unloading number of people, and provide the number A boarding point predicts the number of passengers to the user. The statistical value of the first boarding point unloading number can be obtained by prior statistics and recorded in the passenger number inquiry system.

Finally, step 1206 is executed to enable the passenger number query system to transmit the first boarding point predicted passenger number to the display module, and the passenger number query system provides the first boarding point prediction load through the display module. The number is given to the user. In this way, the user will be able to know the number of passengers predicted by the first boarding point in a more intuitive manner.

In summary, the passenger number inquiry system and the passenger number prediction method of the present invention can further predict the number of people of the mass transit vehicle at the site through various factors affecting the number of passengers, and the user decides whether to continue to wait. Or make other itinerary arrangements, so that the user's time is more flexible.

The above-described embodiments are merely illustrative of the embodiments of the present invention and the technical features of the present invention are not intended to limit the scope of the present invention. It is intended that any changes or equivalents of the invention may be made by those skilled in the art. The scope of the invention should be determined by the scope of the claims.

1. . . Passenger counting system

11. . . Input module

13. . . transceiver

15. . . processor

17. . . Memory

2. . . Wireless network

3. . . Display module

6. . . Bus

7. . . user

A. . . First boarding point

B. . . Second boarding point

D. . . Driving point

b ₁ . . . First passenger waiting time cap statistic

B ₁ . . . First passenger waiting time cap statistic

B ₂ . . . Second passenger waiting time cap statistic

L ₁ . . . First boarding point unloading statistics

L ₂ . . . Second boarding point unloading number

N ₁ . . . First boarding point waiting number

N ₂ . . . Second boarding point waiting number

R. . . Instant passengers

S. . . System usage

T ₁ . . . First driving time

T ₂ . . . Second driving time

U ₁ . . . First unit time arrival number statistics

U ₂ . . . Second unit time arrival number statistics

w ₁ . . . First ride point weight

W ₁ . . . First ride point weight

W ₂ . . . Second boarding point weight

1A is a schematic diagram of an operating environment of a passenger number inquiry system according to a first embodiment of the present invention;

1B is a schematic diagram of a passenger number inquiry system according to a first embodiment of the present invention;

2 is a schematic diagram of a passenger number inquiry system according to a second embodiment of the present invention;

3 is a schematic diagram of a passenger number inquiry system according to a third embodiment of the present invention;

4A is a schematic diagram of an operating environment of a passenger number inquiry system according to a fourth embodiment of the present invention;

4B is a schematic diagram of a passenger number inquiry system according to a fourth embodiment of the present invention;

Figure 6 is a schematic diagram of a passenger number inquiry system according to a sixth embodiment of the present invention;

Figure 7 is a schematic diagram of a passenger number inquiry system according to a seventh embodiment of the present invention;

Figure 8 is a schematic diagram of the passenger number inquiry system of the eighth embodiment of the present invention;

Figure 9 is a flow chart showing a method for predicting the number of passengers in the ninth embodiment of the present invention;

Figure 10 is a flow chart showing a method for predicting the number of passengers in the tenth embodiment of the present invention;

Figure 11 is a flow chart showing a method for predicting the number of passengers in the eleventh embodiment of the present invention;

Figure 12 is a flow chart showing a method for predicting the number of passengers in the twelfth embodiment of the present invention.

Claims (16)

A method for predicting the number of passengers in a passenger number inquiry system, the passenger number inquiry system is connected to a mass transit vehicle through a wireless network, and the method for predicting the number of passengers includes the following steps:
(a) causing the passenger number inquiry system to receive a first boarding point of a user input and receive a driving point of the mass transit vehicle through the wireless network;
(b) causing the passenger number inquiry system to determine the first travel time of the mass transit vehicle from the travel point to one of the first ride points;
(c) causing the passenger number inquiry system to calculate a first boarding point waiting number based on the first driving time and the first unit time arrival number of the first boarding point, wherein the first boarding point is The first unit time arrival number statistics are recorded in the passenger number inquiry system;
(d) having the passenger enquiry system receive an immediate passenger number of the mass transit vehicle through the wireless network;
(e) causing the passenger number inquiry system to calculate a first boarding point predicted passenger number based on the first boarding point waiting number, the immediate boarding number, and a first boarding point unloading number, and providing the first The number of passengers is predicted by the boarding point, and the first boarding point unloading number is recorded in the passenger number inquiry system. The method for predicting the number of passengers according to claim 1, wherein the passenger number inquiry system further records a first passenger waiting time upper limit statistical value of the first one of the first boarding points, and the step (c) further increases the number of passengers. The querying system calculates the number of waiting persons for the first boarding point based on the first driving time, the first passenger waiting time upper limit statistical value, and the first unit time arrival number of the first boarding point. The method for predicting the number of passengers according to claim 1, wherein the passenger number inquiry system further records the first boarding point weight of the first boarding point, and the step (e) further causes the boarding number query system. The first boarding point predicted number of passengers is calculated according to the first boarding point waiting number, the immediate boarding number, the first boarding point unloading number statistics value, and the first boarding point weight. The method for predicting the number of passengers according to claim 1, wherein the travel point and the first boarding point further comprise a second boarding point, and the passenger number query system further records one of the second boarding points. The number of people on the boarding point is unloaded. The method for predicting the number of passengers includes:
(f) after step (c), causing the passenger number inquiry system to determine that the mass transit vehicle travels from the driving point to a second driving time of the second boarding point;
(g) after step (f), causing the passenger number inquiry system to calculate a second number of waiting places according to the second driving time and the second unit time arrival number of the second boarding point, wherein The second unit time arrival number of the second boarding point is recorded in the passenger number inquiry system;
Wherein, the step (e) further causes the number of passengers to query the system according to the number of waiting persons of the first boarding point, the number of waiting persons of the second boarding point, the number of the immediate passengers, the number of the first boarding point unloading persons, and the number The number of passengers on the first boarding point is calculated by the number of boarding point unloading persons. The method for predicting the number of passengers according to claim 4, wherein the passenger number inquiry system further records a first passenger waiting time upper limit statistical value of the first riding point and a second passenger waiting for one of the second riding points. The time limit statistic value, the step (c) further causes the occupant number query system to calculate the statistic value of the first passenger time, the first passenger waiting time upper limit statistic value, and the first unit time of the first unit time Calculating the number of waiting persons in the first boarding point, the step (g) further causing the number of passengers to query the system according to the second driving time, the second passenger waiting time upper limit statistical value, and the second unit time of the second boarding point The number of arrivals is calculated to calculate the number of waiting people at the second boarding point. The method for predicting the number of passengers according to claim 4, wherein the passenger number query system further records a first boarding point weight of the first boarding point and a second boarding point weight of the second boarding point. The step (e) further causes the number of passengers to query the system according to the number of waiting persons of the first boarding point, the number of waiting persons of the second boarding point, the number of the immediate passengers, the number of the first boarding point unloading persons, and the second The first point of departure predicted number of passengers is calculated by the boarding point unloading number, the first boarding point weight, and the second boarding point weight. The method for predicting the number of passengers described in claim 1 further includes:
(f) after step (d), causing the passenger number inquiry system to record the number of system users using the one of the passenger number inquiry systems in a time interval;
The step (e) further causes the passenger number inquiry system to calculate the first boarding point according to the first boarding point waiting number, the instant boarding number, the first boarding point unloading number, and the number of users of the system. Forecast the number of passengers. The method for predicting the number of passengers according to claim 1, wherein the passenger number query system is further connected to a display module, and the method for predicting the number of passengers further comprises:
(f) after the step (e), the passenger number enquiry system transmits the first boarding point predicted passenger number to the display module, and the passenger number enquiry system provides the first boarding pass through the display module The point is predicted to be the number of passengers to the user. A passenger occupancy inquiry system that is connected to a mass transit vehicle via a wireless network and includes:
An input module;
a transceiver
a processor; and a memory;
The input module is configured to receive a first riding point of a user input, the transceiver is configured to receive a driving point of the mass transit vehicle through the wireless network, and the processor is configured to determine the mass transit vehicle Driving from the driving point to a first driving time of the first riding point, and calculating a first waiting point waiting number according to the first driving time and the first unit time arrival number of the first riding point, The transceiver is further configured to receive an immediate passenger number of the mass transit vehicle through the wireless network, and the processor is further configured to: according to the first waiting point waiting number, the instant passenger number, and a first boarding point The unloading number of people calculates a first boarding point predicted number of passengers, and provides the first boarding point to predict the number of passengers to the user;
The first unit time arrival number statistics value of the first boarding point and the first boarding point unloading number statistics value are stored in the memory. The occupant number inquiry system of claim 9, wherein the memory further stores a first passenger waiting time upper limit statistic value of the first boarding point, and the processor is further configured to use the first driving time according to the first driving time. Calculating the first passenger waiting time statistic value and the first unit time arrival number statistic value of the first boarding point The occupant number inquiry system of claim 9, wherein the memory further stores a first boarding point weight of the first boarding point, and the processor is further configured to: according to the first boarding point waiting number, the The first boarding point predicted number of passengers is calculated by the number of immediate passengers, the first boarding point unloading number, and the first boarding point weight. The passenger number inquiry system of claim 9, wherein the travel point and the first boarding point further comprise a second boarding point, and the memory further stores the second unit time of the second boarding point. The number of the statistic value and the statistic value of the second boarding point unloading number, the processor is further configured to determine that the mass transit vehicle travels from the driving point to the second driving time of the second boarding point, and according to the second driving The time and the second unit time arrival number statistics of the second boarding point calculate a second boarding point waiting number, the processor is further configured to: according to the first boarding point waiting number, the second boarding point waiting number, the number The first boarding point predicted number of passengers is calculated by the number of immediate passengers, the first boarding point unloading number, and the second boarding point unloading number. The passenger number inquiry system of claim 12, wherein the memory is further configured to store a first passenger waiting time upper limit statistical value of the first one of the first riding points and a second passenger waiting time of the second one of the second riding points. The upper limit statistic value, the processor is further configured to calculate the waiting number of the first boarding point according to the first driving time, the first passenger waiting time upper limit statistic value, and the first unit time arrival number statistic value of the first boarding point And calculating, according to the second driving time, a second passenger waiting time upper limit statistical value, and the second unit time arrival number of the second riding point, the second waiting point waiting number. The method of claim 12, wherein the memory is further configured to store a first boarding point weight of one of the first boarding points and a second boarding point weight of the second boarding point. The processor is further configured to use, according to the first number of waiting people, the number of waiting people in the second riding point, the number of people in the immediate riding, the statistical value of the number of unloading persons in the first boarding point, and the statistical value of the number of people in the second boarding point unloading, The first boarding point weight and the second boarding point weight are used to calculate the first boarding point predicted number of passengers. The method for querying the number of passengers in the claim 9, wherein the processor is further configured to record, by using the input module, the number of users of the system using the number of passengers in the time interval, and according to the first The first boarding point predicted number of passengers is calculated by the number of boarding waiting persons, the number of the immediate passengers, the first boarding point unloading number, and the number of users of the system. The passenger number inquiry system of claim 9, wherein the processor is further configured to be coupled to a display module, and transmit the first boarding point predicted number of passengers to the display module, and the number of passengers to be loaded The query system provides the first boarding point predicted number of passengers to the user through the display module.