KR20170011255A - Passenger boarding position recommendation system of public transportation - Google Patents

Passenger boarding position recommendation system of public transportation Download PDF

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Publication number
KR20170011255A
KR20170011255A KR1020150103552A KR20150103552A KR20170011255A KR 20170011255 A KR20170011255 A KR 20170011255A KR 1020150103552 A KR1020150103552 A KR 1020150103552A KR 20150103552 A KR20150103552 A KR 20150103552A KR 20170011255 A KR20170011255 A KR 20170011255A
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KR
South Korea
Prior art keywords
public transportation
module
sunlight
transportation means
information
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KR1020150103552A
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Korean (ko)
Inventor
최규형
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최규형
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Priority to KR1020150103552A priority Critical patent/KR20170011255A/en
Publication of KR20170011255A publication Critical patent/KR20170011255A/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/30Transportation; Communications
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/02Reservations, e.g. for tickets, services or events

Abstract

The present invention relates to a passenger boarding position recommendation system for public transportation means. More particularly, the present invention relates to a method and system for providing information on departure times, arrival times, and travel routes of public transportation means selected by passengers at the time of ticket issuance, advance purchase or boarding of public transportation means, The present invention relates to a passenger boarding position recommendation system that predicts a solar irradiance and displays it to a passenger so that the passenger can select a seat that matches his or her preference for sunlight.
To this end, the present invention provides a navigation system comprising: a route including a starting point and a destination of a public transportation; a route information input module receiving a departure time and an arrival time; A sun position prediction module for predicting the altitude and azimuth information of the sun at the corresponding position through the position information and the time information inputted through the route information input module; And a sunlight incidence direction for predicting in which direction the sunlight is incident on the traveling direction of the public transportation means through the position of the sun calculated by substituting each position and time information on the travel route of the public transportation means into the sun position prediction module And a prediction module, which are provided in the passenger compartment.

Description

Passenger boarding position recommendation system for public transportation {omitted}

The present invention relates to a passenger boarding position recommendation system for public transportation means. More particularly, the present invention relates to a method and system for providing information on departure times, arrival times, and travel routes of public transportation means selected by passengers at the time of ticket issuance, advance purchase or boarding of public transportation means, The present invention relates to a passenger boarding position recommendation system that predicts a solar irradiance and displays it to a passenger so that the passenger can select a seat that matches his or her preference for sunlight.

The sun is essential for humans, plants and animals to live.

On the other hand, direct sunlight in the sun may interfere with our daily lives. For example, when working in the office or resting in the bedroom, direct sunlight arrives in the form of a copy through a window or the like, which interferes with vision and acts as an obstacle to work and rest.

Another example is public transport, which we often use in our daily lives.

Public transportation such as intercity buses, trains, passenger ships, and aircrafts except for city buses are required to be ticketed and booked before boarding, and can not be changed after boarding. In addition, city buses can change seats while driving, but changing the seat while driving can be dangerous, so it's a good idea to choose your seat carefully before boarding.

Often, the seats you choose after boarding can get a lot of sunshine and become uncomfortable. So, to prepare for such a case, there is a curtain for the purpose of covering the sun next to the window, but the heat of the sunlight can make you feel uncomfortable because of the heat. Thus, by predicting and imparting to passengers the amount of sunshine while a passenger is moving from destination to destination, briefly before and after, and more specifically, by all seats of the appropriate public transport, Your favorite passengers can choose the seat with the most sunlight, or passengers who do not want sunshine to choose the least sunlit seat, so you can choose your seat according to your preference for ticket or ticket or passenger sunlight when boarding There is a need to develop a technology to provide information.

Prior Art Document: KR Published Utility Model Publication No. 2013-0004529 (published on 23.3.1.2010)

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and an object of the present invention is to provide a service capable of creating a more satisfactory feeling for a passenger when using public transportation.

According to another aspect of the present invention, there is provided a passenger boarding position recommendation system for a public transportation system, the system comprising: a route information input module for inputting a departure time and an arrival time including a departure point and a destination of a public transportation means; A sun position prediction module for predicting altitude and azimuth information of the sun at the corresponding position through position information and time information; A sunlight incident direction prediction that predicts in which direction the sunlight is incident on the traveling direction of the public transportation means through the position of the sun calculated by substituting each position and time information on the travel route of the public transportation means into the sun position prediction module module; And a recommendation module for calculating the incidence or incidence area of the sunlight calculated by the sunlight incidence direction prediction module and displaying the incidence or sunlight incidence area information by location or seat of the public transportation means.

A boarding time predicting module for predicting a time when a passenger is boarding a public transportation means in the case of a public transportation means such as a city bus, in which the speed of running varies greatly according to traffic conditions without issuing and booking tickets; And an average speed prediction module for predicting the average speed of the public transportation means suited to the traffic situation.

According to the present invention, the direction of sunlight reflected on the public transportation means is predicted according to the passage of time during public transportation, and the passenger is informed of the direction of the sunlight, thereby improving the satisfaction of the public transportation.

In addition, according to the present invention, when the position of the sun is determined, not only the time from the departure time to the arrival time but also the direction of the sun to the starting point, the transit point and the destination are predicted by reflecting the place, It is possible to add the solar information as a selection item of the passenger at the time of booking or issuing the public transportation seat as well as recommending the seat of the minimum or maximum direction.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a configuration diagram of an embodiment of a passenger boarding position recommendation system of public transportation means in which departure times and arrival times are determined, such as intercity buses and trains,
FIG. 2 is a configuration diagram of an embodiment of a passenger boarding position recommendation system of a public transportation means in which departure time and arrival time are not defined,
3 is an algorithm flow chart illustrating the manner of operation of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. In addition, the preferred embodiments of the present invention will be described below, but it is needless to say that the technical idea of the present invention is not limited thereto and can be variously modified by those skilled in the art.

In the present invention, the public transportation means will be used not only for buses but also for concepts including trains, ships, aircrafts, and the like, including trains used for moving passengers.

FIG. 1 is a diagram showing a configuration example of a passenger boarding position recommendation system (hereinafter referred to as "first embodiment") of a public transportation means in which departure times and arrival times are determined such as intercity buses and trains, 2 is a configuration diagram of an embodiment (hereinafter referred to as "the second embodiment") of a passenger boarding position recommendation system of a public transportation means in which departure time and arrival time are not defined,

1, the passenger boarding position recommendation system of the public transportation means according to the first embodiment of the present invention includes a route information input module 10, a sun position prediction module 20, a sunlight incidence direction prediction module 30, And a recommendation module (40).

2, the passenger boarding position recommendation system of the public transportation means according to the second embodiment of the present invention includes a route information input module 10, an average speed prediction module 12, a boarding time prediction module 14, A position prediction module 20, a sunlight incident direction predicting module 30, and a recommendation module 40. Hereinafter, the components common to the first and second embodiments will be described together, and the components applied in addition to the second embodiment will be described separately.

The route information input module 10 receives the route including the departure place and the destination place of the public transportation means, the departure time and the arrival time. When inputting the route information, it can be input in various ways such as a direct input method, a view selection method, etc., but the input method is not limited thereto.

The travel route including the departure place and the arrival place, departure time and arrival time are automatically calculated through the inputted route information. The movement route may use an actual movement route on the map, and may use a straight line travel route on the map of the start point and the destination.

As an example of the selection method of the input method, a type of public transportation means such as a city bus, an intercity bus, a train, a passenger ship, and an aircraft is firstly selected. When the public transportation means other than the city bus is selected, It is displayed in the form used in the advance system and can be input in a selection mode.

In particular, if a city bus is selected for public transportation, a city in the area is selected, a bus line is selected, and a bus stop is displayed. The departure time can be calculated through the boarding time prediction module 14 and the arrival time can be calculated based on the average speed calculated through the average speed prediction module 12, the travel distance of the travel route, and the departure time.

The solar position prediction module 20 predicts the position of the sun at the corresponding position by using positional information and time information of a specific position. Since the movement of the sun and the earth is very constant, it is possible to directly calculate the position of the sun, Information can be searched in conjunction with the site. The position information of the sun can calculate the altitude and azimuth information of the sun.

The sunlight incidence direction prediction module 30 estimates the position of each position on the movement route and the estimated position of each position in consideration of the travel route inputted through the route information input module 10 and the travel time which is a time interval between the departure time and the arrival time (Forward direction), backward (backward direction), and leftward direction (forward direction) with respect to the traveling direction of the public transportation means at each position through the sun position calculated by substituting the arrival time information into the sun position prediction module 20 , And the right direction can be predicted.

When calculating the estimated arrival time of each position on the movement route, the average speed is calculated by dividing the movement distance of the movement route inputted through the route information input module 10 by the movement time which is the time interval between the start time and the arrival time The travel distance is calculated by dividing the calculated travel distance by the calculated average speed, and the travel time calculated at the departure time is added to calculate the estimated arrival time . This is because it is easy to calculate the expected arrival time through the average speed because most of the public transportation except the city bus operates at a constant speed considering the regularity and fuel efficiency.

In addition to calculating the expected arrival time at the average speed, you can calculate the expected arrival time using other methods that are appropriate for your situation. In addition, when predicting the incidence direction of sunlight at each position on the movement route, it can be predicted in more detail considering the elevation and inclination of the public transportation means at the corresponding position, and more detailed through the degree of blocking the sunlight from the surrounding terrains and buildings And it is possible to predict the number of incidents or the incidence area of sunlight according to each seat considering the design of the public transportation means inputted through the design information input module (not shown).

The recommendation module 40 determines the number of times of incidence or incidence of sunlight calculated by the sunlight incidence direction prediction module 30 at each position from the start point to the destination of the movement path calculated through the route information input module 10 And displays it. When displaying, the number of times of incidence or incidence of sunlight can be accumulated and converted into a unit that can be easily recognized, such as percentages and incidence times, by location of public transportation means or seats, and displayed. And can be recommended to passengers by displaying Arabic numerals in order of location of public transport or the place where the sunlight is least or heavily illuminated by each seat.

Referring to FIG. 2, in the second embodiment of the present invention, when the average speed prediction module 12 is a public transportation means, such as a city bus, in which the traveling speed greatly changes according to the traffic environment, And calculates the average speed corresponding to the date, time, or situation.

Referring to FIG. 2, in the second embodiment of the present invention, the boarding time prediction module 14 can be applied to a case where the passenger is boarding the bus at a desired time without issuing ticketing and pre- It is possible to predict the boarding time through the public vehicle data providing the position information of the passenger and the public transportation means. For example, city buses are currently operating bus information management systems for most cities, and the location of all bus stops and the location of all buses can be found through the 'Public Data Portal' site. With this system, passengers' time of flight can be predicted.

The design information input module (not shown) receives the design information of the public transportation means and inputs the information of the position, the size and the seat of the window of the public transportation means to the sunlight incidence direction prediction module 30, The number of times or the incidence area can be calculated.

The reservation module (not shown) reserves seats by reflecting the solar information when reserving public transportation. For example, in the case of reserving a train, only the window / aisle side, forward / reverse direction etc. were optional in the seat selection so far, but the reservation module can select the direction in which the solar irradiation amount is minimum or maximum in consideration of the sun position of the departure place, .

3 is a flowchart of an algorithm for implementing a passenger boarding position recommendation system of a public transportation means according to the present invention.

The variables used in the flowchart are defined as follows.

SP: Departure point, EP: Destination point, ST: Departure time, ET: Arrival (scheduled)

      DD: Split distance (unit: m), AVG_SPEED: Average speed, TP: Split position for calculation,

      DISTANCE: Distance between two points, TIME: Expected arrival time in TP,

      SUM: Cumulative amount of sunlight per location

Referring to FIG. 3, step S10 receives route information. The input of the route information can be performed by the route information input module 10.

In step S20, SP and EP are received and AVG_SPEED is calculated. Define the DD value, calculate the TP value, and set SUM to the initial value. The TP value starts the calculation from the starting point plus the input separation distance.

In step S30, it is determined whether the TP value is smaller than the EP value. In other words, it is determined whether the divided position is the arrival point or the arrival point. If so, the process proceeds to step S80, where TP ≥ EP is set to FALSE, and if not, the process proceeds to step S40.

Step S40 defines DISTANCE and defines a TIME value.

In step S50, the sun position at the corresponding point is calculated through the TP and TIME values.

In step S60, the incidence area of sunlight for each position of public transportation is accumulated in SUM through the calculated position of the sun.

In step S70, the TP value is updated.

In step S80, the value of the SUM variable, which is the calculated result, is displayed on the screen.

It will be apparent to those skilled in the art that various modifications, substitutions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. will be. Therefore, the embodiments disclosed in the present invention and the accompanying drawings are intended to illustrate and not to limit the technical spirit of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings . The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

10 - Route information input module
12 - Average speed prediction module
14 - Boarding time prediction module
20 - Sun position prediction module
30 - Sunlight direction prediction module
40 - Featured module

Claims (10)

A travel route including a start point and a destination of a public transportation, a route information input module receiving a departure time and an arrival time,
A sun position prediction module for predicting the altitude and azimuth information of the sun at the corresponding position through the position information and the time information inputted through the route information input module; And
A method of estimating a sunlight incidence direction that predicts in which direction the sunlight is incident on the traveling direction of the public transportation through the position of the sun calculated by substituting each position and time information on the route of public transportation on the sun position prediction module module
A passenger boarding position recommendation system of a public transportation means.
The method according to claim 1,
A recommendation module for displaying the result calculated by the sunlight incidence direction prediction module as information for each position of the public transportation means
Further comprising: a passenger boarding position recommendation system for public transportation means.
3. The method according to claim 1 or 2,
The module for predicting the solar location is a passenger boarding system of public transportation that takes into account the elevation and tilt of public transportation and predicts the position of the sun reflecting the extent to which sunlight is blocked by environmental factors including surrounding terrain and surrounding buildings Location recommendation system.
4. The method according to any one of claims 1 to 3,
A design information input module for inputting the design information of the public transportation means into the sunlight incidence direction prediction module and calculating the incidence or incidence incidence of sunlight for each seat
Further comprising: a passenger boarding position recommendation system for public transportation means.
5. The method according to any one of claims 2 to 4,
The recommendation module displays the result calculated by the sunlight incidence direction prediction module as information for each seat of the public transportation means.
A travel route including a start point and a destination of a public transportation, a route information input module receiving a departure time and an arrival time,
An average speed prediction module for calculating an average speed corresponding to a date, time, or situation using public transportation;
A boarding time predicting module for predicting a time when a passenger is boarding public transportation through a distance between the boarding position of the passenger and the public transportation means;
A sun position prediction module for predicting the altitude and azimuth information of the sun at the corresponding position through the position information and the time information inputted through the route information input module; And
A method of estimating a sunlight incidence direction that predicts in which direction the sunlight is incident on the traveling direction of the public transportation through the position of the sun calculated by substituting each position and time information on the route of public transportation on the sun position prediction module module
A passenger boarding position recommendation system of a public transportation means.
The method according to claim 6,
A recommendation module for displaying the result calculated by the sunlight incidence direction prediction module as information for each position of the public transportation means
Further comprising: a passenger boarding position recommendation system for public transportation means.
The method according to claim 6 or 7,
The module for predicting the solar location is a passenger boarding system of public transportation that takes into account the elevation and tilt of public transportation and predicts the position of the sun reflecting the extent to which sunlight is blocked by environmental factors including surrounding terrain and surrounding buildings Location recommendation system.
9. The method according to any one of claims 6 to 8,
A design information input module for inputting the design information of the public transportation means into the sunlight incidence direction prediction module and calculating the incidence or incidence incidence of sunlight for each seat
Further comprising: a passenger boarding position recommendation system for public transportation means.
10. The method according to any one of claims 7 to 9,
The recommendation module displays the result calculated by the sunlight incidence direction prediction module as information for each seat of the public transportation means.
KR1020150103552A 2015-07-22 2015-07-22 Passenger boarding position recommendation system of public transportation KR20170011255A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107766981A (en) * 2017-10-24 2018-03-06 东南大学 Bus passenger flow OD estimations and Forecasting Approach for Short-term based on website WiFi
WO2020041281A1 (en) * 2018-08-20 2020-02-27 Marazita Rose Angela Lounge chair reservation system and destination recommendation system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107766981A (en) * 2017-10-24 2018-03-06 东南大学 Bus passenger flow OD estimations and Forecasting Approach for Short-term based on website WiFi
CN107766981B (en) * 2017-10-24 2021-05-11 东南大学 Bus passenger flow OD estimation and short-time prediction method based on station WiFi
WO2020041281A1 (en) * 2018-08-20 2020-02-27 Marazita Rose Angela Lounge chair reservation system and destination recommendation system

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