CN115206098A - Vehicle navigation intelligent reminding system and method based on big data - Google Patents

Vehicle navigation intelligent reminding system and method based on big data Download PDF

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Publication number
CN115206098A
CN115206098A CN202210827320.9A CN202210827320A CN115206098A CN 115206098 A CN115206098 A CN 115206098A CN 202210827320 A CN202210827320 A CN 202210827320A CN 115206098 A CN115206098 A CN 115206098A
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vehicle
intersection
navigation
data
speed
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刘新峰
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
    • G08G1/096872—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver where instructions are given per voice

Abstract

The invention discloses a vehicle navigation intelligent reminding system and method based on big data, relating to the technical field of vehicle navigation and comprising the following steps: the system comprises a cloud platform, a data acquisition module and a vehicle-mounted navigation and simulation prediction module. The invention simulates and predicts the speed of the vehicle passing through the intersection through the speed prediction unit of the simulation prediction module, and carries out overspeed reminding in advance on the driver, thereby having the function of predicting the speed of the vehicle when the vehicle passes through the intersection, being convenient for the vehicle driver to carry out deceleration driving in advance, reducing the probability of occurrence of overspeed condition passing through the intersection, improving the driving safety of the vehicle, simulating and predicting the time of the vehicle reaching the intersection when the vehicle turns, having the function of predicting the time of the vehicle entering the intersection, carrying out time reminding in advance on the time of the driver passing through the intersection, being convenient for the driver to accurately judge the position of the intersection according to the time, thereby changing the road in advance to turn, and reducing the probability of occurrence of missing the intersection or wrong crossing of the driver.

Description

Vehicle navigation intelligent reminding system and method based on big data
Technical Field
The invention relates to the technical field of vehicle navigation, in particular to a vehicle navigation intelligent reminding system and method based on big data.
Background
The vehicle navigation is a driving auxiliary device of an instrument which is arranged on a vehicle and can help a user to accurately position the current position, calculate a stroke according to a set destination and guide the user to travel to the destination through two modes of map display and voice prompt, the operation of a vehicle navigator mainly depends on a positioning system to position the vehicle, navigation route planning is carried out according to the position of the vehicle and the planned destination, along with the development of big data, the vehicle navigation is rapidly supported by big data technology, the navigation performance is greatly enhanced, data transmitted by the vehicle navigation of a plurality of vehicles are gathered into the big data, the accuracy of a navigation map is greatly improved, the accuracy of vehicle navigation route planning is improved, and the vehicle navigation is more convenient to use.
At present, when a vehicle runs at a high speed and before passing through an intersection, the vehicle-mounted navigation can remind the passing intersection of the distance and the passing mode in advance, but when the vehicle-mounted navigation only reminds the distance to the intersection, the time of the vehicle passing through the intersection cannot be predicted, so that the driver cannot predict the accurate time of reaching the intersection conveniently, and the situation that the driver easily misses or walks wrong at the complex intersection is caused.
Disclosure of Invention
The invention aims to provide a vehicle navigation intelligent reminding system and method based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a vehicle navigation intelligent reminding system and method based on big data comprises the following steps: the intelligent warning system comprises a cloud platform, a data acquisition module, a vehicle-mounted navigation and simulation prediction module, a navigation map database and a warning module, wherein the cloud platform is used for carrying out cloud service type control management on the vehicle navigation intelligent warning system, the data acquisition module is used for acquiring vehicle position data and vehicle speed data, the vehicle-mounted navigation is used for inputting destination planning travel, displaying navigation routes, displaying warning contents and carrying out voice warning, the simulation prediction module is used for simulating and predicting vehicle speed of a vehicle reaching a crossing and simulating and predicting time of the vehicle reaching the crossing, the navigation map database is used for storing and providing map data of the vehicle-mounted navigation, the warning module is used for yaw and overspeed warning, the input end of the cloud platform is respectively connected with the output ends of the vehicle-mounted navigation, simulation prediction module and navigation map database, the output end of the cloud platform is respectively connected with the input ends of the vehicle-mounted navigation map database, simulation prediction module, navigation map database and warning module, the input end of the data acquisition module is connected with the input end of the vehicle-mounted navigation.
Further, the cloud computing platform comprises a transceiving unit, a central processing unit and a storage unit, wherein the transceiving unit is used for transceiving data, the central processing unit is used for integrating, analyzing and processing the data, and the storage unit is used for storing the data.
Further, the data acquisition module comprises a vehicle positioning unit and a vehicle speed acquisition unit, wherein the vehicle positioning unit is used for acquiring vehicle position data, and the vehicle speed acquisition unit is used for acquiring vehicle running speed data.
Further, the vehicle navigation system comprises an input unit, a display unit and a voice unit, wherein the input unit is used for inputting a destination to perform navigation route planning, the display unit is used for displaying a navigation route and a reminding message, and the voice unit is used for voice reminding.
Further, the simulation prediction module comprises a vehicle speed prediction unit and a time prediction unit, wherein the vehicle speed prediction unit is used for simulating and predicting the vehicle speed of the vehicle reaching the intersection, and the time prediction unit is used for simulating and predicting the time of the vehicle reaching the intersection.
Furthermore, the output end of the warning module is connected with the input end of the vehicle-mounted navigation device, and the warning module is connected with the display unit and the voice unit.
The invention also provides an intelligent reminding method of the vehicle navigation intelligent reminding system based on the big data, which comprises the following steps:
s01: the method comprises the steps that a vehicle-mounted navigation starting system is used for inputting a destination to plan a journey, a cloud platform obtains map data from a navigation map database and transmits the map data to vehicle-mounted navigation, and a navigation route of a navigation map is displayed;
s02: the data acquisition module acquires vehicle position data and vehicle speed data and sends the data to the vehicle navigation, and the vehicle navigation sends the vehicle position data and the vehicle speed data to the cloud platform;
s03: the cloud platform analyzes, integrates and processes the vehicle position data and the vehicle speed data, sends the data to the simulation prediction module to perform simulation prediction analysis and processing on the data, and predicts the speed of the vehicle reaching the intersection and the time of the vehicle reaching the intersection;
s04: the vehicle-mounted navigation carries out intelligent reminding according to the speed of passing through the intersection and the time of simulating and predicting the vehicle to reach the intersection.
Further, the steps of the data analysis integration processing in step S03 are as follows:
the collected vehicle position is A (x) a ，y a ) The position of the intersection is B (x) b ，y b ) The distance from the vehicle position to the intersection is L,
Figure BDA0003747035410000021
when L >500, no reminder is made;
and when L is less than or equal to 500, simulating and predicting the speed of the vehicle reaching the intersection and the time of the vehicle reaching the intersection.
Further, the steps of performing the simulation prediction analysis processing on the data in step S03 are as follows:
judging whether a passing intersection needs to turn according to a map navigation route, and when the intersection does not need to turn, taking the speed of the vehicle in the previous minute as a reference, wherein C = { V = (V) } 1 ，V 2 ...V n V, the real-time speed of the vehicle is V i The crossing is limited to V j， Predicting the speed of the vehicle passing through the crossing as V k ，
Figure BDA0003747035410000031
When the intersection needs to turn, the time of the vehicle to the intersection is predicted to be T,
Figure BDA0003747035410000032
further, in step S04:
the in-process that intelligence was reminded:
when the crossing is going straight, V k ﹤V j Meanwhile, the vehicle-mounted navigation display reminds a user to go straight through the intersection, and meanwhile, the voice reminds the user to go straight through the intersection;
when V is k ≥V j The vehicle speed is prompted to be reduced to pass through the intersection directly by vehicle navigation, and meanwhile, the vehicle is prompted to be reduced to pass through the intersection directly by voice, so that the vehicle speed prediction function is achieved, a vehicle driver can conveniently carry out speed reduction driving in advance, the occurrence probability of overspeed passing through the intersection is reduced, and the driving safety of the vehicle is improved;
when the intersection turns, the vehicle-mounted navigation display reminds the distance of the intersection, the time of entering the intersection and the advance lane change, has a function of predicting the time of a vehicle entering the intersection, and is convenient for a driver to accurately judge the position of the intersection according to the time, so that the driver can turn the lane in advance, and the probability of missing or missing the intersection by the driver is reduced;
when the vehicle transmission information deviates from the navigation route, the warning module transmits a warning signal to the vehicle-mounted navigation, the vehicle-mounted navigation displays warning for the yaw information, and the driver is reminded of the yaw warning through voice.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the vehicle navigation intelligent reminding system and method based on the big data, the speed of the vehicle which directly passes through the intersection is simulated and predicted through the speed prediction unit of the simulation prediction module, and the driver is reminded of overspeed in advance;
the time prediction unit is used for simulating and predicting the time of the vehicle reaching the intersection when the vehicle turns, has a function of predicting the time of the vehicle entering the intersection, and can be used for reminding the driver of the time of passing the intersection in advance, so that the driver can conveniently and accurately judge the position of the intersection according to the time, thereby changing the lane to turn in advance and reducing the probability of the situation that the driver misses the intersection or goes wrong;
when the vehicle running yaw or the speed overspeed of the vehicle passing through the intersection is simulated and predicted by the vehicle speed prediction unit by using the warning module, the warning module warns to remind a driver to reduce the speed in advance or to adjust a navigation route, so that the warning is facilitated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the module connection of the present invention;
fig. 2 is a schematic workflow diagram of the present invention.
In the figure: 1. a cloud platform; 11. a transceiver unit; 12. a central processing unit; 13. a storage unit; 2. a data acquisition module; 21. a vehicle positioning unit; 22. a vehicle speed acquisition unit; 3. vehicle navigation; 31. an input unit; 32. a display unit; 33. a speech unit; 4. a simulation prediction module; 41. a vehicle speed prediction unit; 42. a temporal prediction unit; 5. a navigation map database; 6. and a warning module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
As shown in fig. 1-2, a vehicle navigation intelligent reminding system and method based on big data includes: the system comprises a cloud platform 1, a data acquisition module 2, a vehicle-mounted navigation 3, a simulation prediction module 4, a navigation map database 5 and a warning module 6, wherein the cloud platform 1 is used for carrying out cloud service type control management on a vehicle navigation intelligent reminding system, the data acquisition module 2 is used for acquiring vehicle position data and vehicle speed data, the vehicle-mounted navigation 3 is used for inputting destination planning travel, displaying navigation route, prompting content and voice reminding, the simulation prediction module 4 is used for simulating and predicting vehicle speed of a vehicle reaching an intersection and simulating and predicting time of the vehicle reaching the intersection, the navigation map database 5 is used for storing and providing map data of the vehicle-mounted navigation, the warning module 6 is used for yaw and overspeed warning, the input end of the cloud platform 1 is respectively connected with the output ends of the vehicle-mounted navigation 3, the simulation prediction module 4 and the navigation map database 5, the output end of the cloud platform 1 is respectively connected with the input ends of the data acquisition module 2, the vehicle-mounted navigation 3, the simulation prediction module 4, the navigation map database 5 and the warning module 6, the input end of the data acquisition module 2 is connected with the output end of the data acquisition module 2, the data acquisition module 2 is used for integrating with the input end of the vehicle speed acquisition and processing unit 21, the vehicle speed processing unit 12 for integrating the vehicle positioning data acquisition unit 12 and the vehicle data processing unit 12 for the vehicle positioning unit 12 for the vehicle data acquisition and the vehicle data processing unit 12 for the vehicle data processing unit 12, the vehicle-mounted navigation device 3 comprises an input unit 31, a display unit 32 and a voice unit 33, wherein the input unit 31 is used for inputting a destination to plan a navigation route, the display unit 32 is used for displaying the navigation route and displaying a reminding message, the voice unit 33 is used for voice reminding, the simulation prediction module 4 comprises a vehicle speed prediction unit 41 and a time prediction unit 42, the vehicle speed prediction unit 41 is used for simulating and predicting the vehicle speed of a vehicle reaching the intersection, the time prediction unit 42 is used for simulating and predicting the time of the vehicle reaching the intersection, the output end of the warning module 6 is connected with the input end of the vehicle-mounted navigation device 3, and the warning module 6 is connected with the display unit 32 and the voice unit 33.
The invention also provides an intelligent reminding method of the vehicle navigation intelligent reminding system based on the big data, which comprises the following steps:
s01: starting a system by using the vehicle-mounted navigation 3, inputting a destination by using an input unit 31 to plan a journey, acquiring map data from a navigation map database 5 by using the cloud platform 1, transmitting the map data to the vehicle-mounted navigation 3, and displaying a navigation route of a navigation map by using a display unit 32;
s02: the data acquisition module 2 acquires vehicle position data and vehicle speed data and sends the data to the vehicle-mounted navigation 3, and the vehicle-mounted navigation 3 sends the vehicle position data and the vehicle speed data to the cloud platform 1;
s03: the cloud platform 1 analyzes, integrates and processes the vehicle position data and the vehicle speed data, sends the data to the simulation prediction module 4 to perform simulation prediction analysis and processing on the data, and predicts the speed of the vehicle reaching the intersection and the time of the vehicle reaching the intersection;
s04: the vehicle navigation 3 carries out intelligent reminding according to crossing speed and time for simulating and predicting the vehicle to reach the crossing;
the steps of the data analysis integration processing in step S03 are as follows:
the collected vehicle position is A (x) a ，y a ) The crossing position is B (x) b ，y b ) The distance from the vehicle position to the intersection is L,
Figure BDA0003747035410000051
when L >500, no reminder is made;
when L is less than or equal to 500, simulating and predicting the speed of the vehicle reaching the intersection and the time of the vehicle reaching the intersection;
the steps of performing the simulation prediction analysis process on the data in step S03 are as follows:
judging whether a passing intersection needs to turn according to a map navigation route, and when the intersection does not need to turn, taking the speed of the vehicle in the previous minute as a reference, wherein C = { V = 1 ，V 2 ...V n And V, the real-time speed of the vehicle is V i The crossing is limited to V j， Predicting the speed of the vehicle passing through the intersection as V k ，
Figure BDA0003747035410000052
When the intersection needs to turn, the time of the vehicle to the intersection is predicted to be T,
Figure BDA0003747035410000053
in step S04:
the in-process that intelligence was reminded:
when the intersection is going straight, when V k ﹤V j Meanwhile, the display unit 32 of the vehicle-mounted navigation displays the prompt of straight-going through the intersection, and meanwhile, the voice unit 32 prompts the straight-going through the intersection by voice;
when V is k ≥V j Meanwhile, the warning module 6 warns the vehicle to reduce the speed and go straight through the intersection through the display unit 32 of the vehicle-mounted navigation module 3, and meanwhile, the voice unit 33 warns the vehicle to reduce the speed and go straight through the intersection through voice, so that the function of predicting the speed of the vehicle when the vehicle passes through the intersection is provided, the vehicle driver can conveniently carry out speed reduction in advance, the occurrence probability of overspeed passing through the intersection is reduced, and the driving safety of the vehicle is improved;
when the intersection turns, the display unit 32 of the vehicle-mounted navigation device 3 displays the intersection distance reminding time, the intersection entering time and the ahead lane change reminding time, and the voice unit 33 reminds the intersection distance, the intersection entering time and the ahead lane change reminding time, so that the time prediction function of the vehicle entering the intersection is realized, a driver can conveniently and accurately judge the intersection position according to the time, and the probability of the situation that the driver misses the intersection or goes wrong the intersection is reduced;
when the vehicle positioning unit 21 transmits information deviating from the navigation route, the warning module 6 transmits a warning signal to the vehicle-mounted navigation 3, the display unit 32 of the vehicle-mounted navigation 3 displays warning for the yaw information, and the voice unit 33 reminds the driver of the yaw warning by voice, so that the yaw warning function is realized, and the navigation route can be corrected in time.
The working principle of the invention is as follows:
referring to the attached figures 1-2 of the specification, the vehicle speed prediction unit 41 of the simulation prediction module 4 simulates and predicts the vehicle speed of the vehicle passing through the intersection in a straight running manner, and performs overspeed reminding on a driver in advance, so that the function of predicting the vehicle speed when the vehicle passes through the intersection is provided, the vehicle driver can conveniently perform deceleration running in advance, the occurrence probability of overspeed passing through the intersection is reduced, and the driving safety of the vehicle is improved;
the time prediction unit 42 is used for simulating and predicting the time of the vehicle reaching the intersection when the vehicle turns, has the function of predicting the time of the vehicle entering the intersection, and can be used for reminding the driver of the time of passing the intersection in advance, so that the driver can conveniently and accurately judge the position of the intersection according to the time, thereby changing the lane to turn the corner in advance and reducing the probability of the situation that the driver misses the intersection or goes wrong;
when the vehicle running yaw or the speed overspeed of the vehicle passing through the intersection is simulated and predicted by the vehicle speed prediction unit 41, the warning module 6 is used for warning to remind a driver to reduce the speed in advance or to adjust a navigation route, so that the warning is facilitated.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A big data-based intelligent reminding system for vehicle navigation comprises: cloud platform (1), data acquisition module (2), vehicle navigation (3), simulation prediction module (4), navigation map database (5) and warning module (6), its characterized in that: the intelligent warning system for the vehicle navigation is characterized in that the cloud platform (1) is used for carrying out cloud service type control management on the intelligent warning system for the vehicle navigation, the data acquisition module (2) is used for acquiring vehicle position data and vehicle speed data, the vehicle navigation module (3) is used for inputting destination planning travel, displaying navigation routes, displaying warning contents and carrying out voice warning, the simulation prediction module (4) is used for simulating and predicting the vehicle speed of the vehicle reaching the intersection and simulating and predicting the time of the vehicle reaching the intersection, the navigation map database (5) is used for storing and providing map data of the vehicle navigation, the warning module (6) is used for yaw and overspeed warning, the input end of the cloud platform (1) is connected with the input ends of the vehicle navigation module (3), the simulation prediction module (4) and the navigation map database (5), the output end of the cloud platform (1) is connected with the output ends of the data acquisition module (2), the vehicle navigation module (3), the simulation prediction module (4), the navigation map database (5) and the warning module (6), the input end of the data acquisition module (2) is connected with the output end of the vehicle navigation module (3).
2. The big data-based intelligent reminding system for vehicle navigation, according to claim 1, is characterized in that: the cloud computing platform (1) comprises a transceiving unit (11), a central processing unit (12) and a storage unit (13), wherein the transceiving unit (11) is used for transceiving data, the central processing unit (12) is used for integrating, analyzing and processing the data, and the storage unit (13) is used for storing the data.
3. The big data-based intelligent reminding system for vehicle navigation, according to claim 1, is characterized in that: the data acquisition module (2) comprises a vehicle positioning unit (21) and a vehicle speed acquisition unit (22), the vehicle positioning unit (21) is used for acquiring vehicle position data, and the vehicle speed acquisition unit (22) is used for acquiring vehicle running speed data.
4. The big data-based intelligent reminding system for vehicle navigation, according to claim 1, is characterized in that: the vehicle-mounted navigation device (3) comprises an input unit (31), a display unit (32) and a voice unit (33), wherein the input unit (31) is used for inputting a destination to perform navigation route planning, the display unit (32) is used for displaying a navigation route and a reminding message, and the voice unit (33) is used for voice reminding.
5. The big data-based intelligent reminding system for vehicle navigation, according to claim 1, is characterized in that: the simulation prediction module (4) comprises a vehicle speed prediction unit (41) and a time prediction unit (42), wherein the vehicle speed prediction unit (41) is used for simulating and predicting the vehicle speed of the vehicle reaching the intersection, and the time prediction unit (42) is used for simulating and predicting the time of the vehicle reaching the intersection.
6. The big data-based intelligent reminding system for vehicle navigation, according to claim 4, is characterized in that: the output end of the warning module (6) is connected with the input end of the vehicle-mounted navigation device (3), and the warning module (6) is connected with the display unit (32) and the voice unit (33).
7. The intelligent reminding method of the big-data-based vehicle navigation intelligent reminding system according to the claims 1 to 6, characterized in that: the method comprises the following steps:
s01: a vehicle-mounted navigation (3) is used for starting a system, a destination is input to plan a journey, a cloud platform (1) acquires map data from a navigation map database (5) and transmits the map data to the vehicle-mounted navigation (3), and a navigation route of a navigation map is displayed;
s02: the data acquisition module (2) acquires vehicle position data and vehicle speed data and sends the data to the vehicle-mounted navigation module (3), and the vehicle-mounted navigation module (3) sends the vehicle position data and the vehicle speed data to the cloud platform (1);
s03: the cloud platform (1) analyzes and integrates the vehicle position data and the vehicle speed data, sends the data to the simulation and prediction module (4) to perform simulation, prediction, analysis and processing on the data, and predicts the speed of the vehicle reaching the intersection and the time of the vehicle reaching the intersection;
s04: and the vehicle-mounted navigation (3) carries out intelligent reminding according to the crossing speed and the crossing time of the vehicle, which are predicted by passing through the crossing and simulation.
8. The intelligent reminding method according to claim 7, characterized in that: the steps of the data analysis integration processing in step S03 are as follows:
the collected vehicle position is A (x) a ，y a ) The position of the intersection is B (x) b ，y b ) The distance from the vehicle position to the intersection is L,
Figure FDA0003747035400000021
when L >500, no reminder is made;
and when L is less than or equal to 500, simulating and predicting the speed of the vehicle reaching the intersection and the time of the vehicle reaching the intersection.
9. The intelligent reminding method according to claim 8, characterized in that: the steps of performing the simulation prediction analysis process on the data in step S03 are as follows:
judging whether a passing intersection needs to turn according to a map navigation route, and when the intersection does not need to turn, taking the speed of the vehicle in the previous minute as a reference, wherein C = { V = (V) } 1 ，V 2 ...V n And V, the real-time speed of the vehicle is V i The crossing is limited to V j， Predicting the speed of the vehicle passing through the intersection as V k ，
Figure FDA0003747035400000022
When the intersection needs to turn, the time of the vehicle to the intersection is predicted to be T,
Figure FDA0003747035400000023
10. the intelligent reminding method according to claim 9, characterized in that: in step S04:
in-process that intelligence was reminded:
when the crossing is going straight, V k ﹤V j Meanwhile, the vehicle-mounted navigation display reminds a user to go straight through the intersection, and meanwhile, the voice reminds the user to go straight through the intersection;
when V is k ≥V j When the vehicle passes through the intersection, the voice warning module (6) warns the vehicle to reduce the speed and directly pass through the intersection through the vehicle navigation module (3), and meanwhile, the voice warning module warns the vehicle to reduce the speed and directly pass through the intersection, so that the voice warning module has the function of predicting the speed of the vehicle when the vehicle passes through the intersection, a vehicle driver can conveniently reduce the speed in advance, the occurrence probability of overspeed passing through the intersection is reduced, and the driving safety of the vehicle is improved;
when the intersection turns, the vehicle-mounted navigation device (3) displays the intersection distance reminding time, the intersection entering time and the advanced lane changing reminding time, has the function of predicting the intersection entering time of the vehicle, is convenient for a driver to accurately judge the intersection position according to the time, and reduces the probability of the driver missing the intersection or missing the intersection;
when the vehicle transmission information deviates from the navigation route, the warning module (6) transmits a warning signal to the vehicle-mounted navigation (3), the vehicle-mounted navigation (3) displays warning for yaw information, and reminds a driver of yaw warning by voice, so that the yaw warning function is realized, and the navigation route can be corrected in time.
CN202210827320.9A 2022-07-14 2022-07-14 Vehicle navigation intelligent reminding system and method based on big data Withdrawn CN115206098A (en)

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