Vehicle navigation device and vehicle navigation method

Abstract

A vehicle navigation device and a vehicle navigation method are provided. The device includes: a vehicle sensor located at the front or rear of a vehicle, the vehicle sensor being configured to identify surrounding information and road information of the vehicle; and a processor being configured to identify destination information requested by a user of the vehicle, identify the position information of the vehicle through the vehicle sensor, identify the identified surrounding information and the identified road information of the vehicle, and identify information about a route according to the identified destination information by controlling the vehicle to identify information about a bus stop and bus information within a range specified based on the position information of the vehicle, calculate a congestion degree of the route, and display the calculated congestion degree through a display device.

Description

[0001] Cross-citations to related references

[0002] This application claims the priority of Korean Patent Application No. 10-2019-0166313 filed on December 13, 2019, in the Korean Intellectual Property Office, which is incorporated herein by reference. Technical Field

[0003] The present disclosure relates to a vehicle navigation device and a method thereof. Background Art

[0004] In China, the rightmost lane is equipped with a bus lane and bus stops. Some overseas countries also open bus lanes and bus stops in the same way. For this reason, when a vehicle driver receives a right turn guidance while driving on an urban road, the driver may wait for a long time in the right lane because the bus stops at the bus stop, the bus enters the station, or the bus moves from the station to another lane.

[0005] In this case, in addition to causing an increase in the predicted time to reach the desired destination, the reliability of guidance to the driver may also be reduced.

[0006] In order to improve the guidance reliability and arrival time prediction accuracy for users, there is a need for additional service methods in the vehicle. Summary of the invention

[0007] The embodiments of the present disclosure can solve the above-mentioned problems occurring in the prior art while maintaining the advantages achieved by the prior art intactly.

[0008] Embodiments of the present disclosure provide a vehicle navigation device and method thereof. Certain embodiments provide a method for providing additional information and optimizing routes using intra-city bus traffic information.

[0009] Another embodiment of the present disclosure provides a vehicle navigation apparatus and method thereof, the vehicle navigation apparatus providing a vehicle route by considering road information and a surrounding environment of a moving vehicle.

[0010] Another embodiment of the present disclosure provides a vehicle navigation apparatus and method thereof, which provides a vehicle route by calculating a congestion degree of a road based on a predetermined range of a moving vehicle.

[0011] Another embodiment of the present disclosure provides a vehicle navigation apparatus and method thereof, which provides a vehicle route by considering information of a bus stop and a bus route based on a predetermined range of a moving vehicle.

[0012] Another embodiment of the present disclosure provides a vehicle navigation apparatus and method thereof, which provides a vehicle route again by considering a predicted congestion degree based on a predetermined range of a moving vehicle.

[0013] The technical problems to be solved by the concept of the present invention are not limited to the aforementioned problems, and any other technical problems not mentioned herein will be clearly understood by those skilled in the art to which the present invention belongs from the following description.

[0014] According to an embodiment of the present disclosure, a vehicle navigation device may include: a vehicle sensor located at the front and / or rear of the vehicle for identifying surrounding information and road information of the vehicle; and a processor for identifying destination information requested by a user of the vehicle, identifying the location information of the vehicle through the vehicle sensor, and identifying the identified surrounding information and the identified road information of the vehicle and information about a route according to the identified destination information. When identifying the route information, the processor may control the vehicle to identify information about bus stops within a range specified based on the location information of the vehicle and to identify bus information, calculate the congestion level of the route, and display the calculated congestion level through a display device.

[0015] In one embodiment, the processor may distinguish the congestion level of the bus station, the congestion level of the bus, and weight the information on the bus routes within a range specified based on the location information of the vehicle to calculate the congestion level.

[0016] In one embodiment, the processor may be configured to set a specific range of a vehicle radius based on the location information of the vehicle to calculate the congestion level. The vehicle radius may be set to different values ​​according to user needs or settings of a system for a vehicle navigation service.

[0017] In one embodiment, the processor may be configured to use the equation Calculate the congestion level. "N" can represent the total number of stations; "a" can represent the congestion level of the bus station; "b" can represent the congestion level of the bus; and "c 0 ” may represent a weighted parameter indicating a route of a bus leaving a stop immediately before an intersection.

[0018] In one embodiment, the processor may apply weights differently to the congestion levels "a" to be classified into three stages, and may apply weights differently to the congestion levels "b" of buses to be classified into three stages; the case where the bus route is a left turn or a U-turn may be classified as "x", the case where the bus route is a straight line may be classified as "y", and the case where the bus route is a right turn may be classified as "z". Herein, the congestion level "a" of a bus stop is defined as the density of waiting people relative to the area of ​​the bus stop.

[0019] In one embodiment, the processor may control the vehicle to compare the calculated congestion level with a route range predetermined for the vehicle navigation service, and provide a route corresponding to the corresponding range according to the comparison result.

[0020] In one embodiment, the processor can determine whether the calculated congestion level belongs to a first route range indicating road congestion and a vehicle waiting route, can determine whether the calculated congestion level belongs to a second route range indicating lane changes and right turns, or can determine whether the calculated congestion level belongs to a third route range indicating a detour route.

[0021] In one embodiment, the processor may control the vehicle to reset the congestion level according to the movement and route information of the vehicle, and update the route according to the reset congestion level.

[0022] In an embodiment, the vehicle sensor may include at least one of a global positioning system (GPS), a GPS sensor, a gyroscope sensor, and / or an acceleration sensor.

[0023] In an embodiment, the display device may display a guide annotation of the congestion level via a screen, or perform an alert through at least one of a sound, an audio video navigation (AVN), and / or an alert device.

[0024] According to an embodiment of the present disclosure, a vehicle navigation method may include: identifying surrounding information and road information of a vehicle and distinguishing destination information requested by a user of the vehicle, distinguishing the location information of the vehicle through a sensor of the vehicle, and distinguishing the recognized surrounding information and recognized road information of the vehicle and information about a route according to the distinguished destination information. When distinguishing the route information, the distinguishing may include: controlling the vehicle to distinguish information about a bus stop and bus information within a range specified based on the location information of the vehicle to calculate a congestion degree of the route, and displaying the calculated congestion degree through a display device.

[0025] In an embodiment, the controlling may include identifying a congestion degree of a bus stop, a congestion degree of a bus, and weighting information on bus routes within a range specified based on location information of the vehicle to calculate the congestion degree.

[0026] In one embodiment, the controlling may include setting a specific range of a vehicle radius based on the location information of the vehicle to calculate the congestion degree. The vehicle radius is set to different values ​​according to the needs of the user or the setting of the system for the vehicle navigation service.

[0027] In one embodiment, controlling may include using the following equation Calculate the congestion level. "N" can represent the total number of stations; "a" can represent the congestion level of the bus station; "b" can represent the congestion level of the bus; and "c 0 ” may represent a weighted parameter indicating a route of a bus leaving a stop immediately before an intersection.

[0028] In one embodiment, the control may include: applying weights differently to the congestion levels "a" to be classified into 3 stages, applying weights differently to the congestion levels "b" of buses to be classified into 3 stages, classifying the case where the bus route is a left turn or a U-turn as "x", classifying the case where the bus route is a straight line as "y", and classifying the case where the bus route is a right turn as "z". Herein, the congestion level "a" of the bus stop is defined as the density of waiting persons relative to the area of ​​the bus stop.

[0029] In one embodiment, the controlling may include: controlling the vehicle to compare the calculated congestion level with a route range predetermined for the vehicle navigation service, and providing a route corresponding to the corresponding range according to the comparison result.

[0030] In one embodiment, the control may include: determining whether the calculated congestion level belongs to a first route range indicating road congestion and a vehicle waiting route, determining whether the calculated congestion level belongs to a second route range indicating lane changes and right turns, or determining whether the calculated congestion level belongs to a third route range indicating a detour route.

[0031] In an embodiment, the controlling may include controlling the vehicle to reset the congestion level according to movement and route information of the vehicle, and updating the route according to the reset congestion level.

[0032] In one embodiment, the identifying may include identifying the location information of the vehicle through a vehicle sensor of at least one of a global positioning system (GPS), a GPS sensor, a gyroscope sensor, and / or an acceleration sensor.

[0033] In one embodiment, the controlling may include controlling the vehicle to display a route annotation of the congestion degree via a screen, or to perform an alarm through at least one of a sound, a display device of an audio video navigation (AVN), and / or an alarm device. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other objects, features and advantages of the present disclosure will become more apparent through the following detailed description in conjunction with the accompanying drawings:

[0035] Figure 1 is a block diagram showing a configuration of a vehicle system including a vehicle navigation device according to an embodiment of the present disclosure;

[0036] Figure 2is a block diagram briefly illustrating a vehicle navigation system according to an embodiment of the present disclosure;

[0037] Figure 3 is a view schematically illustrating components for a vehicle navigation service according to an embodiment of the present disclosure;

[0038] Figure 4 is a diagram schematically illustrating a process of performing lane guidance by considering the congestion degree of a city bus according to another embodiment of the present disclosure;

[0039] Figure 5 is a flow chart illustrating a prediction algorithm for planning a route for a vehicle according to an embodiment of the present disclosure; and

[0040] Figure 6 is a view schematically showing a structure of a navigation service device in a vehicle according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0041] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the accompanying drawings, the same reference numerals will be used throughout to designate the same or equivalent elements. In addition, in order to avoid unnecessarily obscuring the gist of the present disclosure, detailed descriptions of well-known features or functions will be omitted.

[0042] When describing the elements of the exemplary embodiments of the present disclosure, the terms first, second, A, B, (a), (b), etc. may be used herein. These terms are only used to distinguish one element from another element, without limiting the corresponding element, and without considering the nature, order or priority of the corresponding element. In addition, unless otherwise defined, all terms including the technical and scientific terms used herein will be interpreted as customary terms in the field to which the present invention belongs. It should be understood that the terms used herein should be interpreted as having a meaning consistent with their meanings in the context of the present disclosure and the related art, and unless clearly defined in this article, these terms will not be interpreted in an idealized or overly formalized sense.

[0043] Next, we will refer to Figures 1 to 6 Various embodiments of the present disclosure are described in detail.

[0044] Figure 1 is a block diagram showing a configuration of a vehicle system including a vehicle navigation apparatus according to an embodiment of the present disclosure.

[0045] refer to Figure 1 , the vehicle navigation apparatus 100 according to an embodiment of the present disclosure may include a communicator 110 , a storage device 120 , a display device 130 , a processor 140 , and an alarm device 150 .

[0046] The communicator 110 may be a hardware device implemented using various electronic circuits for sending and receiving signals via wireless or wired connections. In this embodiment, the communicator 110 may perform communication in the vehicle through controller area network (CAN) communication, CAN with flexible data rate (CAN-FD) communication, local interconnect network (LIN) communication, Ethernet communication, etc. The communicator 110 may include various communication units, such as: a mobile communication unit for communicating with a server 20 and an external diagnostic device placed outside the vehicle; a broadcast receiving unit such as a DMB module or a DVB-H module; a short-range communication unit such as a ZigBee module as a Bluetooth module or an NEC module, a Wi-Fi communication, etc. Specifically, according to an embodiment of the present disclosure, the communicator 110 may use a 4G and / or 5G communication system and a GPS satellite system as a backhaul to receive location information and road condition information for vehicle navigation services. For example, a vehicle connected to a network through an LTE system (5G system) sends wireless data to a user in the vehicle and receives wireless data from the user through a navigation system, a user terminal, or a communication device.

[0047] The storage device 120 can store data downloaded for wireless vehicle updates received from the server 20 via the communicator 110. Therefore, the storage device 120 can temporarily store information about the road environment and road surrounding information collected by vehicle sensors set in the vehicle, such as the location information of the main vehicle, road information, and bus stop information. In addition, the storage device 120 can store destination information set by the user, previously found route information, etc. According to an embodiment of the present disclosure, the external server may be a telematics center for vehicle navigation services. Alternatively, the external server may be a server that supports data of various input sensors for supporting autonomous driving, road information, and communication information. In addition, the storage device 120 may store at least one or more of the network load, vehicle power status, battery status, and / or predicted time required to send remaining ROM data determined by the processor 140.

[0048] The storage device 120 may include at least one type of storage medium among a flash memory type of storage, a hard disk type of storage, a micro type of storage, and a card type of storage (e.g., a secure digital (SD) card or an eXtream digital (XD) card), a random access memory (RAM) type of storage, a static RAM (SRAM) type of storage, a read-only memory (ROM) type of storage, a programmable ROM (PROM) type of storage, an electrically erasable PROM (EEPROM) type of storage, a magnetic RAM (MRAM) type of storage, a disk type of storage, and an optical disk type of storage.

[0049] The display device 130 may be controlled by the processor 140 to display an approved screen for receiving user authentication for wireless updates to the vehicle. The display device 130 may be implemented using a head-up display (HUD), a dashboard, or an audio-video navigation (AVN). In addition, the display device 130 may include at least one of a liquid crystal display (LCD), a thin film transistor-LCD (TFTLCD), a light emitting diode (LED) display, an organic LED (OLED) display, an active matrix OLED (AMOLED) display, a flexible display, a curved display, and / or a 3D display. Some displays may be implemented using a transparent display that is transparent or translucent to observe the outside. In addition, the display device 130 may be configured as a touch screen including a touch panel, and the display device 130 may be used as an input device in addition to an output device.

[0050] The processor 140 may be electrically connected to the communication device 110, the storage device 120, the display device 130, the alarm device 150, etc., may electrically control each component, may be a circuit that executes the instructions of the software, and may perform the various data processing and calculations described below. Specifically, according to an embodiment of the present disclosure, the processor 140 enables the vehicle sensors located at the front and rear of the vehicle to identify the vehicle information located at the front and rear of the vehicle to identify the surrounding information used to predict the objects / road conditions and congestion levels around the vehicle. The processor 140 also identifies the route congestion level of the vehicle predicted by the vehicle sensors and the external server, and controls the device for the vehicle navigation service. That is, the processor 140 may enable the navigation device and the user communication device set in the vehicle to display the route and the alarm for the congestion level provided by the server. In addition, the processor 140 may determine whether the user of the vehicle is a user accessed through the vehicle navigation application, may send information about the identified user to the telematics center, and may enable the authenticated user to receive the differentiated vehicle navigation through the telematics center.

[0051] When a screen for receiving approval from the user is displayed on the display device 130, the alarm device 150 may output a notification for approval to the user. Alternatively, the alarm device 150 may provide various information for vehicle navigation such as resetting the route for congestion level and an alarm about the congestion level.

[0052] Figure 2 is a block diagram briefly illustrating a vehicle navigation system according to an embodiment of the present disclosure.

[0053] refer to Figure 2The vehicle navigation 200 sends information about the location of the host vehicle, surrounding information, and road environment to the telematics center 210, which can be detected by a GPS sensor, a gyro sensor, and an acceleration sensor. In addition, when the vehicle driver sets a destination, the vehicle navigation 200 transmits the corresponding destination information to the telematics center 210.

[0054] The navigation system to which the present disclosure is applied is equipped with a GPS sensor to receive signals received from GPS satellites and calculate the position of the target. When the signal of the GPS sensor may not be correctly received in a tunnel, an indoor parking lot, a forest of buildings, etc., the gyro sensor uses a dead reckoning navigation called dead reckoning (DR) to supplement the position information about the GPS sensor. The DR scheme is a position tracking technology that tracks the current position by calculating the travel distance and direction from the starting point of the position to the current position. In the DR scheme, an accurate navigation system is implemented by guessing the position of the main vehicle based on the angle information obtained by the angular velocity detected by the gyro sensor and the distance information obtained by the speed signal. The gyro sensor is a sensor that provides the angular velocity of rotation, and uses the angular velocity values ​​of the x, y and z axes. The acceleration sensor is a sensor that provides the current acceleration of the vehicle and is used to calculate the moving distance. As previously mentioned, the vehicle navigation uses the GPS sensor and the vehicle sensor set in the main vehicle to perform the position information of the main vehicle, road search, etc. In this way, the vehicle navigation efficiently provides the destination information to the vehicle driver through public transportation search, map search, etc.

[0055] The telematics center 210 searches for a route to the destination set by the driver to transmit the route to the vehicle navigation 200. In order to safely and conveniently maintain / manage the vehicle using location information and a wireless communication network, the telematics center can provide passengers with safety and convenience services such as route guidance, provision of traffic information, and emergency rescue information, as well as infotainment services such as the Internet, movies, games, etc. That is, the user can identify and respond to various road traffic information including traffic conditions through a telematics service that can send and receive various information in real time through mobile communications, the Internet, or a vehicle-based navigation system, and can also receive vehicle safety, security, diagnosis, communication, and navigation information as well as personalized information services for the user.

[0056] In one embodiment, when a right turn link is included in the route received from the telematics center 210 , the vehicle navigation 200 issues a request for information about a bus stop and a bus in a corresponding lane 1 kilometer before the right turn.

[0057] In one embodiment, bus station 270 uses sensors (infrared sensors, etc.) to classify the congestion level according to the number of people in the bus station. The congestion level can be defined as smooth / normal / congested. When a person enters the bus station through a human sensor, the sensor set in the bus station identifies the number of people in a specified area through sensors installed on the wall and the top. Bus 270 uses sensors (infrared sensors, etc.) and transportation card information to classify the congestion level according to the number of people in the bus. The congestion level can be defined as smooth / normal / congested.

[0058] The telematics center 210 receives information about bus stops and buses from the traffic information center 220 to calculate the congestion level of the right turn lane. When the calculation is completed, the telematics center 210 sends the corresponding information to the vehicle navigation 200, which provides it to the navigation display 250. The navigation display 250 displays additional information through the display and outputs the additional information to the speaker through voice guidance. Herein, the traffic information center 220 is responsible for collecting and transmitting comprehensive analysis of various traffic information, traffic conditions and traffic management, and managing roads and traffic by observing road traffic flows and emergencies such as accidents, congestion, construction, demonstrations, etc. Traffic information can be collected through CCTV video, real-time signal control system, detector, vehicle position tracking device (GPS), traffic reporter, traffic police, ordinary telephone report, etc.; the collected traffic information can be analyzed / processed by an advanced automated processing system and can be provided in real time through the Internet, TV, radio, telephone, navigation service application, etc.

[0059] Meanwhile, when it is determined that the congestion level of the right turn lane is higher than the set reference value, the telematics center 210 resets the route to transmit the reset route to the vehicle navigation 200, and the vehicle navigation 200 provides the driver with directions for the reset route. The reset route is provided to the user through the display device and / or speaker of the navigation display 250.

[0060] Figure 3 is a view schematically illustrating components for a vehicle navigation service according to an embodiment of the present disclosure.

[0061] refer to Figure 3 , the vehicle 340 receives the congestion level of the right turn lane through the telematics center, and the bus information and the road information are reflected to the telematics center.

[0062] In more detail, the telematics center receives information on the congestion degree of the right turn from the traffic information center, the congestion degree being calculated by considering the intervals between buses according to the bus routes and each of the buses 300, 302, and 304, the distances between the corresponding bus stops 370 and 375, the congestion degree of each stop, the routes of the corresponding buses, and the complexity of the predicted arrival time of each bus. When it is detected through the navigation in the vehicle that the moving vehicle enters a specified range of the corresponding route, the telematics center guides the right turn congestion degree calculated based on the received information through navigation.

[0063] For example, the telematics center identifies the corresponding route through the GPS, gyro sensor, and acceleration sensor of the vehicle navigation system, calculates the congestion level by identifying the station information and bus route information within the specified range of the corresponding route, and guides the calculated congestion level to the vehicle navigation. The congestion level of the right turn is calculated by considering the number of stations within a specific range (e.g., 1km) specified based on the vehicle (e.g., vehicle radius), the interval between stations, the congestion level of the corresponding station, the congestion level of buses scheduled to arrive at the station (including the number of buses), the traffic information between the station and the intersection, the route of the bus at the station before leaving the intersection, etc. In this article, the range of the vehicle radius can be set to different values ​​according to the performance of the navigation. Alternatively, the range of the vehicle radius can be determined as different ranges according to the needs of the user and can be reflected.

[0064] The calculation of the congestion level according to an embodiment of the present disclosure may be used as shown in Equation 1 below.

[0065] [Equation 1]

[0066]

[0067] In this paper, “N” represents the total number of bus stops; “a” represents the congestion level of bus stops; “b” represents the congestion level of buses; and “c 0 ” represents a weighting parameter indicating the route of a bus leaving the stop immediately before the intersection.

[0068] "a" can be set to a value between 0.6, 0.3 or 0.1.

[0069] The weights used to calculate the congestion level of a bus stop are divided into three categories: congested = 0.6, normal = 0.3, or smooth = 0.1.

[0070] Therefore, "a" is set to one of three values.

[0071] "b" can be defined as "0.6x+0.3y+0.1z"

[0072] The weights used to calculate the congestion level of buses are divided into three categories: congested = 0.6, normal = 0.3, or smooth = 0.1.

[0073] The case where the bus scheduled to arrive at the station is crowded is classified as "x"; the case where the bus scheduled to arrive at the station is normal is classified as "y"; and the case where the bus scheduled to arrive at the station is smooth is classified as "z".

[0074] Therefore, the congestion level of all buses arriving at a single station is calculated as "b".

[0075] "c 0 ” can be defined as “0.4x+0.2y+0.2z”.

[0076] The case where the route of the bus leaving the station immediately before turning right at an intersection is to turn left or make a U-turn is classified as "x" category; the case where the route of the bus leaving the station immediately before turning right at an intersection is to go straight is classified as "y"; the case where the route of the bus leaving the station immediately before turning right at an intersection is to turn right is classified as "z".

[0077] "x", "y", or "z" is the number of buses on each route.

[0078] According to an embodiment of the present disclosure, route setting of a vehicle navigation service may be defined based on f(x) as follows.

[0079] When f(x) is not less than 1 and less than 5, a congested route is provided. This may include "temporary waiting vehicles".

[0080] When f(x) is not less than 6 and less than 10, "Change lane to enter right turn" is provided.

[0081] When f(x) is not less than 10, a "detour route" is provided.

[0082] The above disclosure is a turning point in the reference case; and depending on further analysis, it may be necessary to calculate the congestion level and apply the route settings again.

[0083] Hereinafter, calculation of the congestion degree of a bus stop according to an embodiment of the present disclosure will be described. The congestion degree of a bus stop may be defined as the density of waiting persons relative to the area.

[0084] 1) Use sensors (infrared sensors, etc.) in the bus stop to identify the number of people in the waiting space in the bus stop.

[0085] 2) Number of people that a bus stop can accommodate: waiting space area in the bus stop / area occupied by each person 0.4m 2 .

[0086] 3) Determination criteria: Density (%) = number of people waiting / number of people that can be accommodated × 100. The determination criteria can be defined as follows.

[0087] Smooth: Density is less than 33%.

[0088] Normal: The density is not less than 33% and less than 66%.

[0089] Congestion: A situation where the density is greater than 66%.

[0090] Hereinafter, the calculation of the congestion degree of the bus according to the embodiment of the present disclosure will be described. To this end, the congestion degree of the bus can be defined by considering the number of seats, the number of handles, etc.

[0091] 1) Use sensors (infrared sensors, etc.) and transportation card readers in buses to identify the number of people in the bus.

[0092] Transit card reader: Cards can be used to identify passengers getting on and off the bus.

[0093] 2) The number of people a bus can accommodate: the total number of seats in the bus + the number of handles (each handle in the bus corresponds to a passenger).

[0094] 3) Determine the standards.

[0095] Smooth: The situation where the number of passengers in the bus is not greater than the number of seats.

[0096] Normal: The number of passengers in the "normal" situation is greater than the number of passengers in the "smooth" situation, and the number of passengers in the bus is not greater than the sum of the number of seats and the number of handles.

[0097] Congestion: A situation where the number of passengers in a bus is greater than the sum of the number of seats and handles.

[0098] According to an embodiment of the present disclosure, by using a parameter for calculating a congestion level to reflect the calculation of the congestion level of a bus stop and the congestion level of a bus, more accurate road prediction can be achieved in a route of a vehicle.

[0099] Figure 4 is a diagram schematically illustrating a process of performing lane guidance by considering a congestion degree of a city bus according to another embodiment of the present disclosure.

[0100] refer to Figure 4 , describes a process of discerning a route of a vehicle and performing route prediction by reflecting information about stations within a range determined based on a vehicle and information about a bus moving / predicted to move to the corresponding station.

[0101] For example, the vehicle 440 detects two stations 470 and 475. In addition, there are buses 400, 402, and 404 relative to the stations 470 and 475. In this case, the congestion degree of the right turn lane can be calculated as follows.

[0102] 1. The total number of stations "N" is 2.

[0103] Station 1: Congested, and Station 2: Normal

[0104] 2. The number of buses scheduled to arrive at station 1 is 4, and the number of buses scheduled to arrive at station 2 is 3.

[0105] The congestion level of buses scheduled to arrive at station 1 is: 2 buses are crowded, and 2 buses are normal.

[0106] The congestion level of buses scheduled to arrive at station 2: one bus is crowded, and two buses are normal.

[0107] 3. Route information for the four buses scheduled to leave from bus stop 1.

[0108] The number of buses turning left is one; the number of buses going straight is two; and the number of buses turning right is one.

[0109] Therefore, the congestion degree of each station, buses scheduled to arrive at each station, and buses passing through each station and scheduled to arrive at each station can be calculated by applying the values ​​identified as follows.

[0110] Station: a1=0.6 (congested), a2=0.3 (normal).

[0111] Buses scheduled to arrive at station "a1": (0.6×2+0.3×2)=1.8.

[0112] Buses scheduled to arrive at station "a2": (0.6×1+0.3×2)=1.2.

[0113] The route weight of a bus leaving the stop immediately before turning right at the intersection: (0.4×1+0.2×2+0.2×1)=1.0.

[0114] Therefore, the final calculation is calculated as follows: 2.44.

[0115] Total = 0.6(0.6×2+0.3×2)+0.3(0.6×1+0.3×2)+(0.4×1+0.2×2+0.2×1)=2.44.

[0116] Since the calculated total cost value is 2.44, this corresponds to "a range of 1 or more and less than 5" for the vehicle route planning. This information about the congested route planning is transmitted to the navigation, and the navigation visually displays the information about the congested route planning, and acoustically outputs the information about the congested route planning to the speaker. For example, "The right lane is busy due to a bus, please pay attention when turning right" and the like can be output.

[0117] Figure 5 is a signal flow diagram for describing a process of vehicle route planning according to an embodiment of the present disclosure.

[0118] refer to Figure 5 , the driver sets a destination through the vehicle navigation (500). The telematics center issues a request for information on bus stops within a predetermined range based on the driver's route, the position of the host vehicle, and the current lane to the traffic center (505). In this embodiment, for example, the predetermined range is defined within a radius of 1 km or less. The predetermined range can be used after being changed to another range according to the service requirements of the vehicle navigation. In addition, the telematics center can provide the vehicle with information about bus stops and buses (570).

[0119] The telematics center determines whether there is a bus stop within a radius of 1 km (510). When it is determined that there is a bus stop (Y), the telematics center determines whether there is a bus scheduled to arrive at the corresponding bus stop (515).

[0120] The telematics center calculates the degree of congestion by considering the number of bus stations, congestion information of each station, the number of buses scheduled to arrive at each station, congestion information of each bus, and information (weight) about bus routes. The telematics center calculates the congestion cost using Equation 1 (520). The server of the telematics center may calculate the congestion cost by considering traffic information and information of vehicle navigation.

[0121] The telematics center identifies the calculated cost and then determines where the calculated cost exists in the predetermined vehicle route range (525). That is, when the identified congestion cost is not less than a specified reference value (Y), the telematics center provides a detour route of the corresponding point (530).

[0122] Meanwhile, when it is determined in 510 that the bus stop does not exist (N), the telematics center continues the existing route (550). Figure 4 , the telematics center can predict a right turn at an intersection.

[0123] When the congestion cost identified at 525 exists within the range (N) of the specified reference value, the telematics center additionally provides a calculated congestion degree of the corresponding route ( 560 ).

[0124] Figure 6 is a view illustrating a concept of a vehicle navigation service using a vehicle navigation controller according to an embodiment of the present disclosure.

[0125] refer to Figure 6 , a vehicle navigation controller 610 provided in a vehicle may include a screen 620 for audio and video navigation (AVN) in the vehicle and a smart phone 640 for intercommunication. The vehicle navigation controller 610 such as a touch screen, a knob controller, or a touch pad is embedded in the vehicle to more effectively provide vehicle guidance information to the vehicle user.

[0126] The vehicle navigation controller 610 may include advanced features such as forward and reverse high-definition recording, driving recording while the vehicle is driving, impact detection mode, AVN connection, smart phone connection, advanced memory management, and providing an embedded multimedia card (eMMC) (built-in memory) through the vehicle sensor 600, and may further include features added for user convenience and safety, etc.

[0127] In addition, the images stored through the telematics center may include functions such as video playback, video editing, video deletion, and video sharing through the AVN screen or mobile phone application; the function of recognizing small-sized figures / objects can be expanded by enlarging the image through the touch screen. Therefore, the recorded images or snapshots can be shared through a smartphone dedicated application. By compressing the recorded images or snapshots in a short time, compressed images or snapshots for adaptive use can be provided according to the user's lifestyle. The information can be stored on the USB memory 650 and viewed on the PC playback device 630.

[0128] According to an embodiment of the present disclosure, the vehicle navigation controller 610 can obtain road conditions and surrounding vehicle information through vehicle sensors 600 (such as GPS, gyroscope sensor, acceleration sensor, etc.) when the main vehicle is driving, and can more accurately predict and compensate for the congestion level of the road based on the obtained results in addition to the information provided from the server.

[0129] Although the present disclosure has been described above with reference to exemplary embodiments and the accompanying drawings, the present disclosure is not limited thereto but may be variously modified and changed by those skilled in the art to which the present disclosure relates without departing from the spirit and scope of the present disclosure as claimed in the appended claims.

[0130] Therefore, the embodiments of the present disclosure are not intended to limit the technical spirit of the present disclosure, but are provided for illustrative purposes only. The protection scope of the present disclosure should be interpreted by the appended claims, and all equivalents thereof should be interpreted as being included within the scope of the present disclosure.

[0131] The present disclosure provides additional information with high reliability to drivers using vehicle navigation services. That is, additional information about the degree of congestion can be provided to the driver, and the route can be automatically changed as needed.

[0132] Therefore, the driver can recognize the congested right turn lane along the route in advance, and can avoid the congested right turn lane as needed. Therefore, a vehicle navigation service with user satisfaction and high service reliability can be provided.

[0133] Furthermore, various effects directly or indirectly understood through the present disclosure can be provided.

[0134] Although the present disclosure has been described above with reference to the exemplary embodiments and the accompanying drawings, the present disclosure is not limited thereto but may be variously modified and changed by those skilled in the art to which the present disclosure pertains without departing from the spirit and scope of the present disclosure as claimed in the appended claims.

Claims

1. A vehicle navigation device, the device comprising: A vehicle sensor located at the front or rear of the vehicle, wherein the vehicle sensor is configured to identify surrounding information and road information of the vehicle; as well as The processor is configured as: identifying destination information requested by a user of the vehicle; Identify the location information of the vehicle by using the vehicle sensor; distinguishing the identified surrounding information and the identified road information of the vehicle; identifying information about the route based on the identified destination information by controlling the vehicle to identify information about a bus stop and bus information within a range specified based on position information of the vehicle, calculating a congestion level of a route of the vehicle, and displaying the calculated congestion level through a display device, wherein the processor is configured to distinguish the congestion level of the bus station, the congestion level of the bus, and weight information on the bus route within a range specified based on the position information of the vehicle to calculate the congestion level of the route of the vehicle, The congestion level of the bus stop is based on the density of waiting people relative to the area of ​​the bus stop.

2. The device according to claim 1, wherein The processor is configured to set a specific range of a vehicle radius based on location information of the vehicle to calculate the congestion level of the route, wherein the vehicle radius is set to different values ​​according to a demand of the user or a setting of a system for a vehicle navigation service.

3. The device according to claim 1, wherein: The processor is configured to calculate the congestion level using the following equation: in: "N" represents the total number of bus stops; "a" represents the congestion level of the bus stop; "b" represents the degree of bus congestion; and "c0" represents a weighting parameter indicating a route of a bus leaving the bus stop immediately before the intersection.

4. The device according to claim 3, wherein: The congestion level of the bus is classified according to the number of passengers on the bus, the number of seats on the bus, and the number of handles in the bus, wherein when the number of passengers on the bus is less than or equal to the number of seats in the bus, the congestion level of the bus is classified as "smooth"; when the number of passengers on the bus is greater than the number of seats in the bus but less than the sum of the number of seats in the bus and the number of handles in the bus, the congestion level of the bus is classified as "normal"; and when the number of passengers on the bus is greater than the sum of the number of seats in the bus and the number of handles in the bus, the congestion level of the bus is classified as "congested".

5. The device according to claim 1, wherein: The processor is configured to: controlling the vehicle to compare the calculated congestion level with a route range predetermined for a vehicle navigation service; and The vehicle is controlled to provide a route corresponding to the corresponding route range according to the comparison result.

6. The device according to claim 5, wherein: The processor is configured to determine whether the calculated congestion level belongs to a first route range indicating road congestion and a vehicle waiting route, whether the calculated congestion level belongs to a second route range indicating lane changes and right turns, or whether the calculated congestion level belongs to a third route range indicating a detour route.

7. The device according to claim 6, wherein: The processor is configured to: controlling the vehicle to reset the congestion level in response to movement and route information of the vehicle; and The vehicle is controlled to provide an updated route according to the reset congestion level.

8. The device according to claim 1, wherein: The display device is configured to display a route annotation for the congestion level via a screen, or to provide an alert by sound, by the display device of the audio-visual navigation, or by an alert device.

9. A vehicle navigation method, the method comprising: Identify the surrounding information and road information of the vehicle; identifying destination information requested by a user of the vehicle; Identifying the location information of the vehicle through a sensor of the vehicle; distinguishing the identified surrounding information and the identified road information of the vehicle; controlling the vehicle to identify information about a bus stop and bus information within a range specified based on position information of the vehicle; calculating a congestion level of a route of the vehicle; and displaying the calculated congestion level via a display device; wherein controlling the vehicle comprises: identifying the congestion level of the bus stop, the congestion level of the bus, and weight information on the bus route within a range specified based on the position information of the vehicle to calculate the congestion level of the route of the vehicle, The congestion level of the bus stop is based on the density of waiting people relative to the area of ​​the bus stop.

10. The method according to claim 9, wherein: Controlling the vehicle includes setting a specific range of a vehicle radius based on location information of the vehicle to calculate the congestion level of the route of the vehicle, wherein the vehicle radius is set to different values ​​according to the needs of the user or the setting of a system for a vehicle guidance service.

11. The method according to claim 9, wherein: Controlling the vehicle includes calculating the congestion level using the following equation: in: "N" represents the total number of bus stops; "a" represents the congestion level of the bus stop; "b" represents the degree of bus congestion; and "c0" represents a weighting parameter indicating a route of a bus leaving the bus stop immediately before the intersection.

12. The method according to claim 11, wherein: The congestion level of the bus is classified according to the number of passengers on the bus, the number of seats in the bus, and the number of handles in the bus, wherein when the number of passengers on the bus is less than or equal to the number of seats in the bus, the congestion level of the bus is classified as "smooth"; when the number of passengers on the bus is greater than the number of seats in the bus but less than the sum of the number of seats in the bus and the number of handles in the bus, the congestion level of the bus is classified as "normal"; and when the number of passengers in the bus is greater than the sum of the number of seats in the bus and the number of handles in the bus, the congestion level of the bus is classified as "congested".

13. The method according to claim 9, wherein: Controlling the vehicle includes controlling the vehicle to compare the calculated congestion degree with a route range predetermined for a vehicle navigation service, and to provide a route corresponding to the corresponding route range according to a comparison result.

14. The method according to claim 13, wherein: Controlling the vehicle to provide the route includes determining whether the calculated congestion level belongs to a first route range indicating road congestion and a vehicle waiting route, whether the calculated congestion level belongs to a second route range indicating lane changes and right turns, or whether the calculated congestion level belongs to a third route range indicating a detour route.

15. The method according to claim 14, wherein: After controlling the vehicle to provide the route, the method further comprises: controlling the vehicle to reset the congestion level in response to movement and route information of the vehicle; and The vehicle is controlled to provide an updated route according to the reset congestion level.

16. The method according to claim 9, wherein: Controlling the vehicle includes: controlling the vehicle to display a route annotation for the congestion level via a screen, or to provide an alert via sound, the display device of the audio-visual navigation, or an alert device.

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