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KR-102962469-B1 - VEHICLE ROUTE PROVISION SYSTEM BASED ON LOCATION INFORMATION AND THE METHOD THEREOF

KR102962469B1KR 102962469 B1KR102962469 B1KR 102962469B1KR-102962469-B1

Abstract

The present invention relates to a vehicle route provision system and method based on location information, comprising a central management server that monitors the location and operation status of at least one vehicle and transmits passenger reservation information to the target vehicle closest to the passenger's location in accordance with a received passenger call, and an app meter device that displays additional route information based on the passenger reservation information, wherein the app meter device applies GNSS data output from a GNSS (Global Navigation Satellite System) receiver to an artificial intelligence model to correct the location of the target vehicle to an accurate location and uses it as a fixed location reference point, and calculates an app meter fare calculated based on the location information of the target vehicle.

Inventors

  • 최명렬

Assignees

  • 한양대학교 에리카산학협력단

Dates

Publication Date
20260508
Application Date
20231116

Claims (12)

  1. A central management server that monitors the location and operation status of at least one vehicle and transmits passenger reservation information to the target vehicle closest to the passenger's location in response to an incoming passenger call; and App meter device displaying additional route information based on the above passenger reservation information Includes, The above app meter device A position learning unit that applies GNSS data output from a GNSS (Global Navigation Satellite System) receiver to an artificial intelligence model to correct the target vehicle's position to an accurate location and uses it as a fixed position reference point; and A driving fare calculation unit that calculates an app meter fare calculated based on location information for the above-mentioned target vehicle in operation Includes, The above location learning unit Interpreting and preprocessing data output from the above GNSS receiver, and constructing the above GNSS data, consisting of geographic data, motion information, and signal transmission satellite information, into a data set regarding the relationship between position information error and satellite signal state data. A vehicle route provision system based on location information, characterized by
  2. In paragraph 1, The above central management server is A vehicle route provision system based on location information, wherein when a bus boarding request button installed at a bus stop is selected by a passenger, the passenger call is received to obtain the location of a transit stop, and the passenger reservation information based on the passenger's location and current time is transmitted to the target vehicle moving closest to the location of the transit stop.
  3. In paragraph 2, The above central management server is A vehicle route provision system based on location information, wherein when a bus boarding request reservation is received from a terminal carried by a passenger, the location of a transit stop where the passenger is to board is obtained, the passenger reservation information based on the passenger's location and current time is transmitted to the target vehicle moving closest to the location of the transit stop, and the estimated time when the target vehicle will arrive at the transit stop is transmitted to the passenger.
  4. In paragraph 1, The above central management server is Transmitting the passenger reservation information by designating the target vehicle in response to the passenger call only when it is located within a preset radius of the existing travel route of the target vehicle and the travel time to the intermediate stop is within a preset range. A vehicle route provision system based on location information, characterized by
  5. A position learning unit that applies GNSS data output from a GNSS (Global Navigation Satellite System) receiver to an artificial intelligence model to correct the target vehicle's position to an accurate location and uses it as a fixed position reference point; and A driving fare calculation unit that calculates an app meter fare calculated based on location information for the above-mentioned target vehicle in operation Includes, The above location learning unit Interpreting and preprocessing data output from the above GNSS receiver, and constructing the above GNSS data, consisting of geographic data, motion information, and signal transmission satellite information, into a data set regarding the relationship between position information error and satellite signal state data. App meter device featuring
  6. In paragraph 5, A control unit that receives passenger reservation information from a central management server; and A route providing unit that displays additional route information based on the above passenger reservation information App meter device including
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  8. In paragraph 5, The above location learning unit An app meter device that trains the artificial intelligence model for GNSS correction using a constructed GNSS dataset, and configures the artificial intelligence model in a convolutional neural network (CNN) structure by analyzing satellite state data and location information data in a two-dimensional matrix form according to the form of the constructed GNSS dataset.
  9. In paragraph 8, The above location learning unit An app meter device that outputs the corrected position of the target vehicle by inputting the GNSS data regarding location information and satellite status into the artificial intelligence model.
  10. In paragraph 5, The above-mentioned fare calculation department is An app meter device that calculates an app meter fare based on the distance according to the location information of the above-mentioned target vehicle, and supports credit card payment, transportation card payment, QR code payment, and smart pay payment when making a payment for the above-mentioned app meter fare.
  11. In paragraph 6, The above control unit When a passenger call is transmitted to the central management server, the passenger reservation information based on the passenger's location and current time is received from the central management server, and The above path providing unit Providing new route information by adding intermediate stops based on the passenger's location to the existing travel route of the above-mentioned target vehicle. An app meter device characterized by
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Description

Vehicle Route Provision System Based on Location Information and Method Thereof The present invention relates to a system and method for providing a vehicle route based on location information, and more specifically, to a technology for additionally providing a route to a target vehicle in response to a passenger's call and calculating a fare based on the location information of the target vehicle. OBD (On Board Diagnostics) is a system that diagnoses and monitors internal vehicle information, and is used by various devices connected to the OBD from outside the vehicle to obtain internal vehicle information. Typically, in the case of modes of transportation such as taxis, a meter connected to an OBD is used to calculate the fare based on a mechanical rate derived from the number of wheel rotations. However, such mechanical OBD meters have disadvantages, including the need for pre-setting of sensors attached to the wheels linked to the OBD, the inability to accurately measure wheel rotation speeds due to tire wear and changes in air pressure, and the possibility of mechanical fare manipulation by taxi drivers. Furthermore, in existing non-metropolitan areas, there was an inconvenience in that passengers had to check the bus schedule in advance and be at the bus stop at that time, or wait for a long time at the stop to use the bus, as buses traveling to villages had long intervals between departures and operated with a limited number of vehicles. FIG. 1 illustrates an example of a network environment according to one embodiment of the present invention. FIG. 2 is a block diagram illustrating the internal configuration of an electronic device and a server in one embodiment of the present invention. FIG. 3 is a block diagram illustrating an example of a component that may be included in the processor of an app meter device according to one embodiment of the present invention. FIG. 4 is a flowchart illustrating a method for providing a vehicle route route based on location information according to an embodiment of the present invention. FIG. 5 illustrates a conceptual diagram for explaining a method for providing a vehicle route based on location information according to an embodiment of the present invention. FIG. 6 is illustrated to explain the basic concept of a GNSS correction technique using an artificial intelligence model according to one embodiment. FIG. 7 illustrates a block diagram showing the detailed structure of a GNSS correction technique using an artificial intelligence model according to one embodiment. FIGS. 8 and 9 illustrate a block diagram showing one application example of a GNSS correction technique using an artificial intelligence model according to one embodiment. FIG. 10 shows a block diagram illustrating the detailed structure of an MCU inside a GNSS receiver according to FIG. 9 in one embodiment. FIG. 11 is illustrated to explain an example of outputting new route information that passes through an intermediate stop from an existing stop when a passenger is called according to an embodiment of the present invention. The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. The terms used herein are for describing the embodiments and are not intended to limit the invention. In this specification, the singular form includes the plural form unless specifically stated otherwise in the text. As used herein, "comprises" and/or "comprising" do not exclude the presence or addition of one or more other components, steps, actions, and/or elements to the mentioned components, steps, actions, and/or elements. Unless otherwise defined, all terms used in this specification (including technical and scientific terms) may be used in a meaning commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise. Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings. Identical components in the drawings are denoted by the same reference numerals, and redundant descriptions of identical components are omitted. FIG. 1 illustrates an example of a network environment according to one embodiment of the present invention. The network environment of FIG. 1 illustrates an example including a plurality of electronic devices (110, 120, 130,