KR20120068580A - Trip pattern analysis system of the public transportation using the transportation card data and the trip pattern analysis methods of the same - Google Patents

Abstract

PURPOSE: A public transport traffic analysis system and a method thereof are provided to refine an OD(Original-Destination) system, thereby improving reliability of demand estimation and train investment evaluation processes. CONSTITUTION: A card reader(10) receives transportation card data from a transportation card(1) of a passenger. An operation server(200) stores the transportation card data in a real OD(Original-Destination) database(100). The operation server analyzes a traffic record for estimating traffic demand. The operation server distributes traffic of a public transport network.

Description

Trip pattern analysis system of the public transportation using the transportation card data and the trip pattern analysis methods of the same}

The present invention relates to a public transportation traffic analysis system and method using a traffic card data, and more specifically, to collect and database the performance data of the traffic card systematically and to manage and analyze the traffic demand forecast and public transportation means The present invention relates to an analytical system and an analysis method for assigning a public transportation route to assign a public transportation route.

In recent years, public transport cards such as buses and subways are used instead of cash for transportation cards.

Such a card is a kind of electronic money that is mainly used to pay the fare of public transportation or toll roads. In 1996, “Bus Card” was led by the Seoul Metropolitan Bus Transportation Association and Seoul Metropolitan Government. Commercialized on all buses, the first payment method for electronic public transportation using smart cards was born in Korea.

Since then, a similar method has been gradually introduced overseas. Recently, South Korea also has a function that calculates the amount of usage and provides benefits, or features that can be used like cash in general stores.

On the other hand, in order to facilitate the flow of traffic, it is necessary to appropriately concentrate and disperse public transportation means through demand forecasting.In order to analyze such public transportation traffic, research on the national transportation DB, transportation cards, and indicator development areas is conducted in the metropolitan area of Korea. It is progressing continuously.

However, the existing public transportation traffic analysis has difficulty in accurately predicting demand by performing abstract public transportation traffic analysis using only the information of origin and destination through the integration of national transportation cards.

In addition, there is a problem that the reliability of analytical information for investment, transportation, new public transportation input, distribution and relocation of the demand is also lowered due to poor demand prediction.

Therefore, the present invention is to solve these problems, the purpose of the OD (Origin-Destination) system through the data analysis using the actual traffic card data to improve the share of the public transportation means according to the expansion of the use of traffic cards To provide a system and method for public transportation traffic analysis using traffic card data to improve the reliability of demand forecasting procedures and railroad investment evaluation.

The present invention to solve this technical problem;

A card reader for receiving traffic card data from a passenger traffic card; Collecting and storing the traffic card data received from the card reader in the REAL OD database, analyzing the traffic performance based on the traffic card data, predicting the traffic demand and assigning the traffic of the public transport network; It provides a public transportation traffic analysis system using traffic card data.

At this time, the card reader and the operation server is characterized in that the operation is linked through a variety of wired and wireless network.

In addition, the card reader is characterized in that it is installed on the gates and buses of the subway station of public transportation.

And, the REAL OD database; A traffic card collection information DB for storing and managing traffic card data collected from the card reader, a route information DB for storing and managing route information traveled by public transportation, and a route node for each route traveled by public transportation Route stop information DB for each route for storing and managing information, stop information DB for each route for storing and managing route stop information for each route to which public transportation travels, and link information for route for each route to which public transportation moves Storage and management of route link information DB for each route for storing and managing the information, logical link information DB for storing and managing logical link information for each route to which public transportation travels, and stop information for each station stopped by public transportation. Stop information DB for each purpose, stop information DB for storing and managing stop information stopped by public transportation, and public transportation And a vehicle information DB for storing and managing vehicle information, which is a means.

At this time, the traffic card collection information DB is the card identification number, the date and time of the ride, the transfer segment, the transportation means, the transfer number, the route ID, the vehicle ID, the user identification code, the departure and departure date, the boarding station ID, the bus stop ID Characterized in that the information on the number of users.

The route information DB is characterized by consisting of information on route ID, route name, route start point stop, route end point stop, route total distance, and number of route routes.

In addition, the route node information DB for each route is characterized by consisting of information on a route ID, a standard node ID, and a node order number.

In addition, the stopover information DB for each route is characterized by consisting of information on the route ID, station ID, station number and use.

The route link information DB for each route is characterized by consisting of information on a route ID, a logical link ID, a logical link distance, and whether or not it is used.

The logical link information DB is characterized by consisting of information on a logical link ID, a logical link name, a logical link first station, a logical link, a middle station, a logical link length, and whether the logical link is used.

The same stop information DB is characterized by consisting of information on the stop ID, old and dong.

In addition, the stop information DB is characterized by consisting of information on whether the stop ID, station name, station x coordinate, station y coordinate, standard link ID, logical link ID or not.

In addition, the vehicle information DB is characterized by consisting of information on whether the vehicle ID, route ID, company or use.

The present invention also provides In the public transportation traffic analysis method of the operation server that analyzes the traffic card data of the passengers received from the card readers installed in the gates and buses of subway stations, which are public transportation means, and stored and managed in the REAL OD database. A first step of analyzing the traffic performance based on the traffic card data stored and managed in the REAL OD database; A second step of predicting traffic demand based on the traffic card data; The third step of the traffic assignment of the public transport network based on the traffic card data; provides a method for analyzing public transport traffic using the traffic card data, characterized in that consisting of.

At this time, the first step, characterized in that the step of analyzing the performance results of the OD (Origin-Destination), the performance of each node, the urban railway performance.

And, the second step, characterized in that the step of analyzing the regional correlation between the starting point-the destination using the spatial statistics.

And, the third step, characterized in that the step of managing the analysis target network scenarios, select the traffic path of the complex public transport network and probabilistic traffic allocation for each traffic path.

According to the present invention, the traffic card performance data is systematically managed in the REAL OD database, and the traffic performance is analyzed based on this, and the traffic allocation model for the complex transportation method is analyzed by using the regional correlation analysis of the starting point and the destination using the spatial statistics. It has the advantage of supporting decision-making for establishing transportation policy / system through quantitative and scientific analysis.

In particular, the present invention is able to grasp the entire route of passengers by performing the public transportation traffic analysis based on the actual transportation card data to improve the reliability of the existing demand forecasting procedures and railway investment evaluation to secure a source of new traffic information, high value-added traffic information It also has the advantage of contributing to the establishment of the foundation for collecting, processing, and redistributing and to the vitalization of the application development industry by using the source of information of passage.

1 is a block diagram of a public transportation traffic analysis system using a traffic card data according to the present invention.
2 is a diagram illustrating a REal OD DB schema according to the present invention.
3 is a diagram illustrating a public transportation traffic analysis process using the traffic card data according to the present invention.
4 is a diagram showing an example of prediction of traffic demand according to the present invention.
5 is a diagram illustrating an example of a multi-public transit assignment.

With reference to the accompanying drawings, a public transportation traffic analysis system and method using a traffic card data according to the present invention will be understood by the embodiments described in detail below.

1 and 2, the public transportation traffic analysis system according to the present invention analyzes the traffic demand of the public transportation means using the traffic card data.

In particular, we have secured a foundation for analyzing national data to improve the share of railway transportation following the expansion of the nationwide use of transit cards, and established the existing abstract Origin-Destination (OD) system. In order to improve the reliability, we will develop a public transportation traffic analysis system using actual transportation card data (hereinafter referred to as 'REAL OD').

As described above, the present invention provides a card reader 10 for receiving traffic card data from a traffic card 1 of a passenger using public transportation, and a traffic card data received from the card reader 10 to receive a REAL OD database ( It consists of an operation server 200 to store in 100.

At this time, it is obvious that the card reader 10 and the operation server 200 are linked and operated through various networks of wired and wireless methods.

The traffic card data stored and managed in the REAL OD database 100 undergoes a process of collecting and analyzing traffic card data of a plurality of passengers.

Hereinafter, the structure of each part of this invention is demonstrated concretely.

The card reader 10 is installed in the gate and bus of the subway station, which is a public transportation means, and is connected to a network with a remote operation server 200, and the card reader 10 is a traffic card 1 as a traffic card data. Collect and transmit to the operation server 200.

On the other hand, the operation server 200 stores and manages the traffic card data collected from the card reader 10 in the REAL OD database 100, and analyzes these traffic card data in accordance with the construction and utilization of REAL OD information By identifying and connecting the entire route of the pedestrians, it is possible to secure new sources of traffic information, establish them as the basis for processing and redistribution, and contribute to the vitalization of the application development industry by utilizing the sources of information on traffic passage.

The operation server 200 manages the REAL OD database 100 for systematic management of the traffic card performance data, manages the complex transportation network based on the REAL OD database 100, analyzes the traffic performance, and combines the demand through the forecasting. It is in charge of traffic network traffic assignment and reporting of analysis data.

On the other hand, the REAL OD database 100 stores and manages the traffic card collection information DB 101 for storing and managing the traffic card data collected from the card reader 10, and route information to which the public transportation means travels. Route information DB (102), route node information DB (103) for storing and managing route node information for each route to which public transportation moves, and route stop for each route to which public transportation moves Route-by-route stop information DB 104 for storing and managing information, route-by-route link information DB 105 for storing and managing route-specific route link information to which public transportation moves, and the public. Logical link information DB 106 for storing and managing logical link information for each route to which a means of transportation moves, and bus stop information for storing and managing stop information for each region (region) where public transportation stops. DB 107, Junggyo is tongsudan are part of the station information DB (108) for storing and managing the stop information for stopping, public transport vehicle information to vehicle information DB (109) for storing and managing.

At this time, the traffic card collection information DB 101 is the card identification number, the date and time of the ride, the transfer segment, the transportation means, the transfer number, the route ID, the vehicle ID, the user identification code, the departure and departure date, the boarding station ID, the stop station ID? It consists of information about when and when you get off.

In addition, the route information DB 102 is made up of information on a route ID, a route name, a route starting point stop, a route ending point stop, a route total distance, and route number, and the route information information node 103 for each route is a route. ID, standard node ID, node number, and the use of the information, the route information bus stop information DB 104 for each line is composed of information about the route ID, station ID, station number and use.

In addition, the route link information DB 105 for each route includes information on a route ID, a logical link ID, a logical link distance, and whether the logical link information DB 106 is a logical link ID or a logical link name. The logical link is made up of information on the first station, the logical link, the intermediate station, the logical link length, or not, and the station information DB 107 for each station is configured with information about a station ID, a district, and a town.

And, the stop information DB 108 is made up of information on whether to use a stop ID, a station name, a station x coordinate, a station y coordinate, a standard link ID, a logical link ID, and the vehicle information DB 109 is a vehicle ID. It consists of information about the route ID, company, and use.

The DB of each of the REAL OD database 100 is interoperable with each other. At this time, the route ID, vehicle ID, boarding station ID, getting off station ID is representative information necessary for traffic analysis, and the traffic card collection information DB 101, the route table information DB 102, and the route are based on the route ID information. The pass through node information DB 103, the pass through node information DB 104 for each route, and the pass link information DB 105 for each route are interlocked, and the traffic card collection information DB 101 and the vehicle information DB are based on the vehicle ID information. 109 is interlocked, and the traffic card collection information DB 101 and the stop information DB 108 are interlocked by the bus stop ID and the bus stop ID information.

Based on the information of the REAL OD database 100, the operation server 200 performs a public transportation traffic analysis.

Hereinafter, a process of analyzing public transportation traffic using the traffic card data according to the present invention will be described with reference to FIGS. 1 to 5.

The operation server 200 analyzes the traffic performance based on the traffic card data collected from the traffic card 1 and stored and managed in the REAL OD database 100 (S100), and then predicts the traffic demand (S110). , The traffic assignment of the public transport network (S120).

That is, the transit traffic analysis process is performed by sequentially analyzing traffic performances based on traffic card data, predicting traffic demands, and assigning traffic traffic routes.

First, the step (S100) of analyzing the traffic performance based on the traffic card data is performed by analyzing the traffic performance between Origin-Destination, analyzing the performance of each node, and analyzing the performance of the urban railway.

In case of analyzing the traffic performance between OD (Origin-Destination), it analyzes the statistic by using the route ID, vehicle ID, boarding station ID, and getting off station ID information, analyzes the statistics, and analyzes the statistics by searching the traffic route. Inquiry node / link attributes (transportation / fare, etc.) on the route, analyze the statistics, and output the performance evaluation index value for each route.

In the case of analyzing the performance by node, the traffic performance by node is inquired, the statistics are analyzed, and the performance evaluation index values are output by the node. Analyze the statistics and output the evaluation index values for the integrated / lined railways.

Next, in step S110 of predicting traffic demand based on the traffic card data, spatial correlation analysis is performed using the spatial statistics. If the distance between two traffic measuring points is close, the spatial correlation is strong and if the distance is far, the spatial correlation is weak.

In addition, the next step (S120) for the traffic assignment of the public transport network based on the traffic card data, to manage the analysis target network scenario, to select the traffic route of the complex public transport network, and to assign the stochastic traffic assignment for each traffic route Step.

In the case of managing the analysis target network scenario, the analysis of the public transportation network adjustment emulation is carried out by adding and deleting the station / stop and changing the existing operation route and adding the new route.

In the case of selecting the route of the mixed public transportation network, the route of the analysis target network is selected, which is to select a plurality of K-shortest routes in the mixed public transportation network of buses and trains.

In the case of probabilistic traffic allocation by each traffic route, multi-public transportation traffic allocation by each traffic route is performed. Traffic assignment is applied by applying stochastic assignment model. As such, an example of the traffic allocation of the public transportation is shown in FIG. 5.

Through such a series of processes, the operation server 200 establishes a public transportation traffic analysis system using the actual transportation card data stored in the REAL OD database 100, thereby producing an original-destination (OD) for the public transportation operation system. It can be recognized as a differentiated market by market, and it will be possible to develop differentiated means-sharing policies and strategies by market, and to develop a methodology for providing a multi-stage linked service that can achieve realistic effects.

While the present invention has been described in connection with what is presently considered to be preferred embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

1: transportation card 10: card reader
100: REAL OD Database 101: Transportation Card Collection Information DB
102: route information DB 103: transit node information DB by route
104: stop information DB by route 105: via link information DB by route
106: logical link information DB 107: bus stop information DB
108: stop information DB 109: vehicle information DB
200: operation server

Claims (17)

A card reader for receiving traffic card data from a passenger traffic card;
Collecting and storing the traffic card data received from the card reader in the REAL OD database, analyzing the traffic performance based on the traffic card data, predicting the traffic demand and assigning the traffic of the public transport network; Transit traffic analysis system using traffic card data.
The method of claim 1,
The card reader and the operation server is a public transportation traffic analysis system using a traffic card data, characterized in that the operation is linked through a variety of wired and wireless network.
The method of claim 1,
The card reader is a public transportation traffic analysis system using a traffic card data, characterized in that installed on the gates and buses of subway history as a public transport.
The system of claim 1, wherein the REAL OD database;
A traffic card collection information DB for storing and managing traffic card data collected from the card reader, a route information DB for storing and managing route information traveled by public transportation, and a route node for each route traveled by public transportation Route node information DB for each route for storing and managing information, Station information DB for each route for storing and managing route stop information for each route to which public transportation travels, Link information for route for each route to which public transportation moves Storage and management of route link information DB for each route for storing and managing the information, logical link information DB for storing and managing logical link information for each route to which public transportation travels, and stop information for each station stopped by public transportation. Stop information DB for each purpose, stop information DB for storing and managing stop information stopped by public transportation, Transit traffic analysis system using the traffic card data, characterized in that consisting of a vehicle information DB for storing and managing single vehicle information.
The method of claim 4, wherein
The transportation card collection information DB includes the card identification number, the date and time of the transfer, the transit separator, the means of transportation, the number of transfers, the route ID, the vehicle ID, the user identification code, the date of departure and departure, the boarding station ID, the bus stop ID, and the date and time of use. Transit traffic analysis system using traffic card data, characterized in that consisting of information about.
The method of claim 4, wherein
The route information DB is a transit traffic analysis system using traffic card data, comprising information on route ID, route name, route starting point stop, route ending point stop, total route distance, and number of route routes.
The method of claim 4, wherein
The transit node information DB for each route is a transit traffic analysis system using a traffic card data, characterized in that the information on a route ID, a standard node ID, a node sequence number, and whether or not it is used.
The method of claim 4, wherein
The transit station information DB for each route is a transit traffic analysis system using traffic card data, characterized in that the information on the route ID, station ID, station number, use status.
The method of claim 4, wherein
The route link information DB for each route comprises a route ID, a logical link ID, a logical link distance, and information on whether to use the public transportation traffic analysis system.
The method of claim 4, wherein
The logical link information DB is a public transportation traffic analysis system using a traffic card data, characterized in that the logical link ID, logical link name, logical link first station, logical link or intermediate station, logical link length, information on whether or not to use. .
The method of claim 4, wherein
The bus stop information DB for each public transportation system using traffic card data, characterized in that consisting of information on the station ID, district, dong.
The method of claim 4, wherein
The stop information DB is a transit traffic analysis system using a traffic card data, characterized in that the stop ID, stop name, stop x coordinate, stop y coordinate, standard link ID, logical link ID or not.
The method of claim 4, wherein
The vehicle information DB is a public transportation traffic analysis system using a traffic card data, characterized in that consisting of information on whether the vehicle ID, route ID, company or use.
In the public transportation traffic analysis method of the operation server for analyzing the passenger's traffic card data received from the card reader installed in the gates and buses of the subway history, which is a public transportation means, stored and managed in the REAL OD database,
A first step of analyzing a traffic record based on the traffic card data collected from the traffic card and stored and managed in a REAL OD database;
A second step of predicting traffic demand based on the traffic card data;
A third step of assigning the traffic of the public transport network based on the traffic card data; Public transportation traffic analysis method using a traffic card data, characterized in that consisting of.
The method of claim 14,
The first step is to analyze the traffic performance between the original (Origin-Destination) OD, the performance of each node and the analysis of the urban railway performance public transportation traffic analysis method using the traffic card data.
The method of claim 14,
The second step is a public transportation traffic analysis method using the traffic card data, characterized in that for analyzing the regional correlation between the starting point and destination using the spatial statistics.
The method of claim 14,
The third step is a step of managing the analysis target network scenarios, selecting the traffic route of the complex public transport network and the stochastic traffic assignment for each traffic route public transportation traffic analysis method using the data.

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