CN117408436A - Method and system for estimating number of passengers in bus route stations - Google Patents
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Abstract
The invention relates to the technical field of public transportation, and provides a method and a system for estimating the number of passengers in a bus route between stations, wherein the method comprises the following steps: acquiring historical landing volume passenger flow data of a certain bus route, wherein the historical landing volume passenger flow data comprises the number of passengers getting on and off each station and the arrival time; classifying historical landing volume passenger flow data according to date type and time interval division, and assuming that the passenger flow proportion among stations of each type of data is a certain value; according to the quantitative relation between the passenger flow proportion among stations of each type of data and the historical landing volume data of the type, a linear equation set of the passenger flow proportion among the stations is established; obtaining the passenger flow proportion among each class of sites by solving the linear equation set; and obtaining the number of passengers between each station and the subsequent stations according to the ratio of the passenger flow between each station and the number of passengers on any station.
Description
Technical Field
The invention relates to the technical field of public transportation, in particular to a method and a system for estimating the number of passengers in a bus route between stations.
Background
For the public transportation service industry, the estimation and prediction of the number of passengers flowing between bus line stations are of great importance to the public transportation infrastructure setting and the dynamic allocation of resources, because the information of the number of passengers flowing between bus line stations is the quantitative information which can best reflect the travel demands of passengers, and is a precondition and a final target of the public transportation service.
According to the travel demands of most people or meeting the travel demands of special people, setting reasonable station positions and route trends in a certain space area is the first step of public transportation service, namely network planning. Then, the passenger flow number estimation between bus route stations in different time periods every day is needed, the number of vehicles and the number of people are reasonably arranged, and the travel demands of passengers are met with the lowest operation cost. Therefore, estimation and prediction of the number of passengers flowing between bus line stations are fundamental driving forces for bus service, and influence infrastructure setting and resource dynamic scheduling of the bus service in different stages.
The existing passenger flow number estimation technology between bus line stations is mostly used for estimating the boarding and disembarking stations and time of each passenger based on the passenger card swiping or code swiping data and positioning data such as a vehicle GPS and the like, so as to obtain passenger flow number estimation information between any two stations. If passengers get on or off the bus and have the record of swiping cards or swiping codes, and get on or off the bus simultaneously, the quality of relevant GPS positioning data can be ensured, and the number of passengers flowing between bus route stations is not difficult to calculate. However, most public transportation vehicles at present only have card-entering data and do not have card-exiting data, so that the passenger stations are often required to be pushed back according to the card-entering data and travel rules of passengers, travel chains of each passenger are established under the condition of taking transfer into consideration, and then the number of passengers flowing between bus route stations is calculated. The key of the algorithm is accurate calculation of the next station point. However, the existing method for estimating the number of passengers between bus line stations based on the passenger card swiping and code swiping data needs to rely on massive card swiping log information, is high in requirements on vehicle-mounted equipment, large in calculation amount of data processing, complex in data processing, and easy to be influenced by individual extreme data, and the finally obtained result only represents the current period and is difficult to expand application.
In addition, the prior art also relies on passenger mobile phone signaling data, vehicle-mounted monitoring video data and vehicle-mounted WiFi and Bluetooth equipment to conduct multi-source data fusion, so that passenger boarding and disembarking behaviors are monitored and recorded, and the requirements on vehicle-mounted equipment are high. Because of the individual demand variability of passengers and the complexity of biometric identification, the monitoring of each passenger on and off the bus is very resource-consuming and relatively complex to analyze the data afterwards.
Disclosure of Invention
The invention mainly solves the technical problems that the existing method for estimating the number of passengers between bus line stations based on the passenger card swiping and code swiping data needs to rely on massive card swiping log information, has higher requirements on vehicle-mounted equipment, has larger calculation amount of data processing and the like, and provides the method and the system for estimating the number of passengers between the bus line stations, which can estimate the number of passengers between any two stations of a public transportation line based on the boarding and disembarking amount passenger flow data and solve the ratio of the number of passengers between any two stations based on a constraint least square method, so that the calculation is simpler and more efficient, the calculation result is not easily influenced by accidental factors, and the method and the system are more stable and reliable.
The invention provides a method for estimating the number of passengers in a passenger flow between bus route stations, which comprises the following steps:
acquiring historical landing volume passenger flow data of a certain bus route, wherein the historical landing volume passenger flow data comprises the number of passengers getting on and off each station and the arrival time;
classifying historical landing volume passenger flow data according to date type and time interval division, and assuming that the passenger flow proportion among stations of each type of data is a certain value;
according to the quantitative relation between the passenger flow proportion among stations of each type of data and the historical landing volume data of the type, a linear equation set of the passenger flow proportion among the stations is established; the linear equation set for establishing the passenger flow ratio between the stations is as follows:
the method is characterized in that the number of alighting persons at each station is equal to the sum of products of the total number of alighting persons at each station in front of the station and the probability of alighting from the alighting station to the current station, wherein the number of alighting persons at each station is derived from historical landing data, and the unknown quantity is the passenger flow proportion among the stations;
obtaining the passenger flow proportion among each class of sites by solving the linear equation set;
and obtaining the number of passengers between each station and the subsequent stations according to the ratio of the passenger flow between each station and the number of passengers on any station.
Preferably, the ratio of passenger flow between stations is equivalent to the probability that passengers getting on a station get off other stations after the station.
Preferably, the ratio of passenger flows between each class of sites needs to satisfy the following constraint conditions:
each passenger flow proportion value is non-negative;
since each passenger will get off at a certain station finally, the sum of the ratios of the passenger flows of getting on and off at different stations at the same station is 1.
Preferably, the passenger flow ratio between each class of sites is obtained by solving the linear equation set, and the solution is needed under the condition that the constraint condition is satisfied.
Preferably, solving a linear equation set by using a constraint least square method to obtain the passenger flow proportion among each class of stations, and obtaining the optimal estimation in the sense of minimum mean square error meeting the constraint condition;
the solution is carried out by using a constraint least square method, and a quadratic programming solution method can be adopted.
Preferably, the obtaining the number of passengers between the station and the subsequent station according to the ratio of the passenger flow between each type of station and the number of passengers on any station includes:
the number of boarding persons at a given site is multiplied by the ratio of the passenger flows between the corresponding sites to obtain the number of passenger flows between the corresponding sites.
Preferably, the method for estimating the number of passengers in the bus route between stations can be divided into uplink and downlink according to the route operation direction to calculate respectively, so as to obtain the number of passengers in the bus route between the stations under the two conditions of uplink and downlink.
Correspondingly, the invention also provides a passenger flow number estimation system between bus line stations, which comprises:
the data acquisition module is used for acquiring historical boarding volume passenger flow data of a certain bus route, wherein the historical boarding volume passenger flow data comprises the number of boarding and disembarking persons at each station and the arrival time;
the passenger flow classification module is used for classifying the historical landing passenger flow data according to the date type and the time interval division, and presuming that the passenger flow proportion among stations of each type of data is a certain value;
the passenger flow modeling module is used for establishing a linear equation set of the passenger flow proportion among the stations according to the quantitative relation between the passenger flow proportion among the stations of each type of data and the historical landing volume data; the linear equation set for establishing the passenger flow ratio between the stations is as follows:
the method is characterized in that the number of alighting persons at each station is equal to the sum of products of the total number of alighting persons at each station in front of the station and the probability of alighting from the alighting station to the current station, wherein the number of alighting persons at each station is derived from historical landing data, and the unknown quantity is the passenger flow proportion among the stations;
the passenger flow proportion solving module is used for obtaining the passenger flow proportion among each class of sites by solving the linear equation set;
and the passenger flow number estimation module is used for obtaining the passenger flow number between each station and the subsequent stations according to the passenger flow proportion among each station and the passenger number of any station.
The invention provides a method and a system for estimating the number of passengers in a bus route between stations, which are used for acquiring historical boarding and disembarking amount passenger flow data of a certain bus route, wherein the historical boarding and disembarking amount passenger flow data comprises the number of passengers on and off each station and the arrival time; the historical landing volume passenger flow data are appropriately classified, so that the proportion distribution of the number of passengers on and off each station of each type of data is relatively close, and the passenger flow proportion among each station of each type of data is assumed to be a certain value; according to the quantitative relation between the passenger flow proportion among stations of each type of data and the historical landing volume data of the type, a linear equation set of the passenger flow proportion among the stations is established; obtaining the passenger flow proportion among each class of sites by solving the linear equation set; and obtaining the number of passengers between each station and the subsequent stations according to the ratio of the passenger flow between each station and the number of passengers on any station.
The method solves the number of passengers between any two stations based on constraint least square, is simpler and more efficient than the prior art, and because the similar historical landing volume passenger flow data is summarized to carry out fitting estimation, the calculation result is not easy to be influenced by accidental factors, is more stable and reliable, and meanwhile, the acquisition cost of the landing volume passenger flow data is far lower than that of the card swiping code or even the face swiping data required by the similar technology. The public transportation field of the invention comprises all public transportation modes of people carrying such as highway, railway, civil aviation, water transportation and the like, and the application range is wide.
Drawings
Fig. 1 is a flowchart of an implementation of a method for estimating the number of passengers in a bus route between stations according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a passenger flow number estimation system between bus route stations according to a third embodiment of the present invention.
Detailed Description
In order to make the technical problems solved by the invention, the technical scheme adopted and the technical effects achieved clearer, the invention is further described in detail below with reference to the accompanying drawings and the embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the matters related to the present invention are shown in the accompanying drawings.
Example 1
As shown in fig. 1, the method for estimating the number of passengers in a bus route between stations according to the embodiment of the present invention includes:
step 1, historical boarding volume passenger flow data of a certain bus route is obtained, wherein the historical boarding volume passenger flow data comprises the number of passengers on and off each station and the arrival time.
For most passenger flow number estimation applications, the number of passenger flows between bus route stations is not required to be very accurate, but travel information or travel rules of most passengers in a specific area or a travel route within a certain time are required, so that resources such as vehicles and the like are arranged to meet the travel demands. For macroscopic line network planning, accurate passenger travel information is not needed, and as long as travel needs between certain two places and approximate travel amounts exist, preliminary line network planning or adjustment of the existing line network can be performed.
The historical landing volume passenger flow data can be obtained from manual recording of a recorder on a bus, or the number of passengers getting on or off each station and the arrival time which are measured and recorded by a vehicle-mounted passenger flow counter. The invention can analyze the number of passengers flowing between stations of a certain bus route by only acquiring the total number of passengers getting on and off each station, does not need to monitor the specific getting on and off behaviors of each passenger, and does not need to rely on high-precision vehicle-mounted monitoring equipment and complex data processing.
And step 2, classifying the historical landing volume passenger flow data according to the date type and the time interval, so that the distribution of the number of passengers getting on and off each site of each type of data is relatively close, and assuming that the passenger flow ratio between each site of each type of data is a certain value.
In the present invention, it is assumed that under certain conditions, the time ranges of the same class are divided by date type and time period, such as between 8 a.m. and 10 a.m. each monday. And classifying and summarizing the historical landing volume passenger flow data according to the date type and the time interval. The invention can analyze all the time periods, and can divide the date types and the time periods (such as the early and late peak and the peaked peak time periods) according to a certain rule by considering the characteristics of different date types and different trends of passenger flow numbers among the passenger travel bus route stations in different time periods.
Specifically, when classifying dates, we can divide the date types into typical date types corresponding to working days, legal holidays and four seasons of spring, summer, autumn and winter, further can divide the date types into common working days, first working days, last working days and the like, and further can consider the influence of weather and climate changes and major activities on traveling, so that the date types are further divided. When dividing the time period, the specific time period of each day can be simply divided into an early peak time period, a late peak time period and a peaked peak time period, and the division can be further refined according to the change rule of the actual historical landing volume passenger flow data; or divided into one period at a certain time interval. However, in view of the continuity of the vehicle running, the length of each period should be at least longer than the one-way period of the vehicle.
According to the method, the regularity of the travel of most bus passengers is considered, the historical boarding and disembarking amount passenger flow data is appropriately classified, so that the proportion distribution of the number of passengers on and off each station of each type of data is relatively close, and the passenger flow proportion among each station of each type of data is assumed to be a certain value. For example, the traveling of office workers in the early rush hour period has strong regularity, and the duty ratio of office workers in public transportation passengers caused by various random factors also presents certain regularity, so that the ratio of the number of passengers in a certain bus line between certain two stations to the total number of passengers in the early rush hour period can be assumed to be a certain value.
The ratio of passenger flow among the stations is equivalent to the probability that passengers getting on a certain station get off the station at other stations behind the station.
And step 3, establishing a linear equation set of the passenger flow ratio among the stations according to the quantitative relation between the passenger flow ratio among the stations of each type of data and the historical landing amount data of the type.
The linear equation set for establishing the passenger flow ratio between the stations is as follows:
the method is characterized in that the number of passengers getting off each station is equal to the sum of products of the total number of passengers getting on each station in front of the station and the probability of the passengers getting off the station from the station to the current station, wherein the number of passengers getting on and off each station is derived from historical landing data, and the unknown quantity is the ratio of passenger flows among the stations, namely the probability of passengers getting on each station and getting off the station.
Specifically, the number of passengers getting off each station is = Σthe number of passengers getting on each upstream station, and the passenger flow ratio between the corresponding stations refers to the probability of getting on from a certain upstream station to getting off from the current station.
The passenger flow ratio among each class of sites needs to meet the following constraint conditions:
constraint condition a, each passenger flow proportion value is non-negative;
and under constraint condition b, as each passenger finally gets off at a certain station, the sum of the ratios of the passenger flows getting off at different stations on the same station is 1.
And 4, obtaining the passenger flow ratio among each class of sites by solving the linear equation set.
And the passenger flow proportion among each class of sites is obtained by solving the linear equation set, and the solution is required under the condition that the constraint condition is satisfied.
Solving a linear equation set by using a constraint least square method to obtain the passenger flow proportion among all the stations, obtaining the optimal estimation on the minimum mean square error which meets the constraint condition, and obtaining the optimal estimation value of the passenger flow proportion among all the stations.
The solution is carried out by using a constraint least square method, and a quadratic programming solution method can be adopted.
And 5, obtaining the number of passengers between the station and the subsequent station according to the passenger flow ratio between each type of station and the number of passengers on any station.
In this step, the obtaining the number of passengers between the station and the subsequent station according to the ratio of the passenger flow between each type of station and the number of passengers on any station includes:
the specific calculation method is that the number of boarding persons at a given site is multiplied by the ratio of passenger flows between the corresponding sites to obtain the number of passenger flows between the corresponding sites.
According to the passenger flow number estimation method between bus route stations, the passenger flow number estimation value between the stations under the condition of ascending and descending can be obtained by respectively calculating the passenger flow number between the stations according to the route operation direction.
The method for estimating the number of passengers in the bus route between stations can also be used for predicting the number of passengers in each station in a future time, and specifically comprises the following steps:
firstly, determining the date type and time interval division of a specific time in the future, so as to determine the passenger flow ratio between stations of the time interval;
predicting the number of passengers accumulated at each station in the time according to a certain prediction method, wherein a passenger flow prediction related algorithm can be specifically referred;
and finally, further obtaining the predicted value of the number of passengers in each station according to the predicted value of the number of passengers in each station and the passenger flow ratio between stations in the period calculated by the method.
Furthermore, the invention can utilize the passenger flow number among stations obtained by calculation to correct and adjust the subsequent network planning and operation scheduling of the public transportation vehicles. For example, the vehicle departure density is increased between stations with larger passenger flow, or the departure interval is increased, and the departure interval can be properly increased between stations with smaller passenger flow, or the stations with smaller passenger flow are canceled, and the route path is adjusted.
The method comprises the steps of obtaining historical boarding and disembarking amount passenger flow data of a certain bus route, wherein the historical boarding and disembarking amount passenger flow data comprises the number of boarding and disembarking persons at each station and the arrival time; the historical landing volume passenger flow data are appropriately classified, so that the proportion distribution of the number of passengers on and off each station of each type of data is relatively close, and the passenger flow proportion among each station of each type of data is assumed to be a certain value; according to the quantitative relation between the passenger flow proportion among stations of each type of data and the historical landing volume data of the type, a linear equation set of the passenger flow proportion among the stations is established; obtaining the passenger flow proportion among each class of sites by solving the linear equation set; and obtaining the number of passengers between each station and the subsequent stations according to the ratio of the passenger flow between each station and the number of passengers on any station.
The invention not only reduces the overall cost of the vehicle-mounted equipment and the difficulty of subsequent data processing, the calculation result is not easy to be influenced by accidental factors, and is more stable and reliable, but also the cost for acquiring the landing passenger flow data is far lower than that of the card swiping code and even the face swiping data required by the similar technology.
Example two
This example illustrates the implementation and specific steps of the present invention in one example:
assuming that a certain bus route has five stations as follows, according to a certain date classification and time interval division mode, there are four historical landing volume passenger flow data of passing in a certain period of uniformity, and the number of passengers on and off the corresponding stations is as follows:
table 1 table of the number of boarding and disembarking persons at each station
The ratio of passenger flow between the bus line stations is assumed to be constant but unknown in the period, and is assumed to be in the following variable form:
TABLE 2 passenger flow ratio variable form between sites
Wherein Pij represents the ratio of the number of passengers getting on from the jth station to get off from the ith station to the total number of passengers getting on the jth station.
According to the assumption, the four passes in table 1 all conform to the traffic distribution rule in table 2, so based on the traffic ratio between the corresponding stations of the number of passengers getting off each station = Σof the number of passengers getting on each upstream station, we can get the following equation relationship:
by definition, the ratio of passenger flows between stations should also satisfy the following constraints:
wherein Pij is greater than or equal to 0, each passenger flow proportion value is greater than or equal to 0,representing arbitrary stationsPassengers getting on the bus can get off at a certain station in the subsequent downstream stations, namely the sum of the passenger flow ratio from getting on the bus at the certain station to getting off the bus at the subsequent station is 1.
The above problem may be solved by using a constrained least squares method, and the optimal estimate of the passenger flow ratio satisfying the constraint condition (formula 2) of the present embodiment may be solved by using quadratic programming, for example.
The problem is that according to the constraint least square method, the obtained optimal passenger flow proportion estimated value is as follows:
it can be seen that the above obtained optimal estimation of the passenger flow ratio can satisfy each condition of the constraint condition (formula 2) of the present embodiment.
Substituting the optimal estimated value of the passenger flow ratio obtained by the solution into the table 2 to obtain the following table:
TABLE 3 optimal estimates of passenger flow ratio between sites
Further, if the number of boarding headcounts of all four passes of each station is taken as a base, the estimated value of the number of passengers in each station (the estimated value of the number of passengers flowing between any two stations) can be obtained, namely, the estimated value of the number of boarding headcounts multiplied by the corresponding passenger flow proportion is specifically as follows:
TABLE 4 estimated values of the number of people in passenger flow between sites
The data in Table 4 are illustrated: taking the estimation 4.6574 of the number of people getting on the station a and getting off the station E as an example, the estimated value 0.2218 = 4.6574 of the ratio of the number of people getting on the station a to the number of people getting off the station E.
Wherein, the total number of boarding at station a = first pass a station boarding number 5+ second pass a station boarding number 8+ third pass a station boarding number 1+ fourth pass a station boarding number 7 = 21.
In this embodiment, the estimated number of passengers getting on the station a and getting off the station D is 0, which indicates that the number of passengers getting on the station a and getting off the station D in this period is 0, and similarly, the number of passengers getting on the station B and getting off the station E is also 0, which can provide objective basis for adjusting the network.
Example III
Based on the same inventive concept as the passenger number estimation method between bus line stations in the first embodiment, the invention also provides a passenger number estimation system between bus line stations, comprising:
the data acquisition module is used for acquiring historical boarding volume passenger flow data of a certain bus route, wherein the historical boarding volume passenger flow data comprises the number of boarding and disembarking persons at each station and the arrival time;
the passenger flow classification module is used for classifying the historical landing passenger flow data according to the date type and the time interval division, and presuming that the passenger flow proportion among stations of each type of data is a certain value;
the passenger flow modeling module is used for establishing a linear equation set of the passenger flow proportion among the stations according to the quantitative relation between the passenger flow proportion among the stations of each type of data and the historical landing volume data; the linear equation set for establishing the passenger flow ratio between the stations is as follows:
the method is characterized in that the number of alighting persons at each station is equal to the sum of products of the total number of alighting persons at each station in front of the station and the probability of alighting from the alighting station to the current station, wherein the number of alighting persons at each station is derived from historical landing data, and the unknown quantity is the passenger flow proportion among the stations;
the passenger flow proportion solving module is used for obtaining the passenger flow proportion among each class of sites by solving the linear equation set;
and the passenger flow number estimation module is used for obtaining the passenger flow number between each station and the subsequent stations according to the passenger flow proportion among each station and the passenger number of any station.
The description and the specific examples of the method for estimating the number of passengers between bus stops in the first embodiment are applicable to the system for estimating the number of passengers between bus stops in the first embodiment, and by the foregoing detailed description of the method for estimating the number of passengers between bus stops, those skilled in the art can clearly know the implementation method of the system for estimating the number of passengers between bus stops in the first embodiment, so that details will not be repeated again for the sake of brevity of description.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments is modified or some or all of the technical features are replaced equivalently, so that the essence of the corresponding technical scheme does not deviate from the scope of the technical scheme of the embodiments of the present invention.
Claims (8)
1. The method for estimating the number of passengers in the bus route between stations is characterized by comprising the following steps:
acquiring historical landing volume passenger flow data of a certain bus route, wherein the historical landing volume passenger flow data comprises the number of passengers getting on and off each station and the arrival time;
classifying historical landing volume passenger flow data according to date type and time interval division, and assuming that the passenger flow proportion among stations of each type of data is a certain value;
according to the quantitative relation between the passenger flow proportion among stations of each type of data and the historical landing volume data of the type, a linear equation set of the passenger flow proportion among the stations is established; the linear equation set for establishing the passenger flow ratio between the stations is as follows:
the method is characterized in that the number of alighting persons at each station is equal to the sum of products of the total number of alighting persons at each station in front of the station and the probability of alighting from the alighting station to the current station, wherein the number of alighting persons at each station is derived from historical landing data, and the unknown quantity is the passenger flow proportion among the stations;
obtaining the passenger flow proportion among each class of sites by solving the linear equation set;
and obtaining the number of passengers between each station and the subsequent stations according to the ratio of the passenger flow between each station and the number of passengers on any station.
2. The method for estimating the number of passengers flowing between bus route stations according to claim 1, wherein the ratio of passenger flows between the stations is equivalent to the probability that passengers getting on a certain station get off other stations after the certain station.
3. The method for estimating the number of passengers flowing between bus stops according to claim 1, wherein the ratio of the passenger flowing between each type of stops is required to satisfy the following constraint conditions:
each passenger flow proportion value is non-negative;
since each passenger will get off at a certain station finally, the sum of the ratios of the passenger flows of getting on and off at different stations at the same station is 1.
4. The method for estimating the number of passengers flowing between bus stops according to claim 3, wherein the ratio of the passengers flowing between each type of stops is obtained by solving the linear equation set, and the solution is needed under the condition of meeting the constraint condition.
5. The method for estimating the number of passengers flowing between bus route stations according to claim 3, wherein the method is characterized in that a constraint least square method is utilized to solve a linear equation set to obtain the ratio of the passengers flowing between each type of stations, and the optimal estimation in the sense of minimum mean square error meeting the constraint condition is obtained;
the solution is carried out by using a constraint least square method, and a quadratic programming solution method can be adopted.
6. The method for estimating the number of passengers flowing between bus route stations according to claim 1, wherein said obtaining the number of passengers flowing between each station and the subsequent stations based on the ratio of the passenger flowing between each station and the number of passengers flowing between any station comprises:
the number of boarding persons at a given site is multiplied by the ratio of the passenger flows between the corresponding sites to obtain the number of passenger flows between the corresponding sites.
7. The method for estimating the number of passengers flowing between bus route stations according to claim 1, wherein the method for estimating the number of passengers flowing between bus route stations can be divided into an uplink and a downlink according to the route operation direction to calculate the number of passengers flowing between the stations in the uplink and the downlink.
8. A system for estimating the number of passengers in a bus line between stations, comprising:
the data acquisition module is used for acquiring historical boarding volume passenger flow data of a certain bus route, wherein the historical boarding volume passenger flow data comprises the number of boarding and disembarking persons at each station and the arrival time;
the passenger flow classification module is used for classifying the historical landing passenger flow data according to the date type and the time interval division, and presuming that the passenger flow proportion among stations of each type of data is a certain value;
the passenger flow modeling module is used for establishing a linear equation set of the passenger flow proportion among the stations according to the quantitative relation between the passenger flow proportion among the stations of each type of data and the historical landing volume data; the linear equation set for establishing the passenger flow ratio between the stations is as follows:
the method is characterized in that the number of alighting persons at each station is equal to the sum of products of the total number of alighting persons at each station in front of the station and the probability of alighting from the alighting station to the current station, wherein the number of alighting persons at each station is derived from historical landing data, and the unknown quantity is the passenger flow proportion among the stations;
the passenger flow proportion solving module is used for obtaining the passenger flow proportion among each class of sites by solving the linear equation set;
and the passenger flow number estimation module is used for obtaining the passenger flow number between each station and the subsequent stations according to the passenger flow proportion among each station and the passenger number of any station.
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