CN111044064A - Vehicle, navigation terminal and historical navigation data-based travel road condition construction method - Google Patents
Vehicle, navigation terminal and historical navigation data-based travel road condition construction method Download PDFInfo
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- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
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Abstract
The application relates to the technical field of vehicle navigation, and provides a vehicle, a navigation terminal and a historical navigation data-based travel road condition construction method. According to the method and the device, under application scenes such as navigation and the like, the road condition can be reproduced according to historical data of the user, the user can remember and know the road condition details once, unnecessary traffic road conditions are avoided, and the user is facilitated.
Description
Technical Field
The application relates to the technical field of navigation, in particular to a historical navigation data-based travel road condition construction method and a vehicle adopting the historical navigation data-based travel road condition construction method.
Background
With the worldwide progress of urbanization accelerating, road traffic safety has become a global problem. According to the conventional research and investigation on traffic accidents, the traffic accidents are not uniformly distributed on a road network, and most of the traffic accidents are concentrated on some frequent road sections on the road network, so that the congested or slow-going road sections are generally also called road traffic black spots.
The formation of the road traffic black spots is complex, and generally caused by the combination of a plurality of accident causes, which can be summarized into four main factors which are easy to cause traffic accidents, mainly including four inducers, namely, automobile factors, road factors, driver factors and environmental factors. Such as automotive factors (e.g., vehicle out of control, scuffing, rear-end collision, side-tipping), road factors (e.g., steep road surface, wet road, excessive grade, excessive bend angle), driver factors (e.g., driver distraction, fatigue driving, drunk driving), environmental factors (e.g., traffic congestion, heavy rain, heavy snow, heavy fog), etc. It is further noted that accidents often occur due to a centralized effect of multiple factors rather than a single factor, and that the factors that cause the accidents are not consistent from place to place. In addition, these factors result in similar traffic accidents that are likely to occur in vehicles or drivers under similar circumstances, with a higher probability of accident repeatability.
On the other hand, when the user appears, the user is likely to need to walk the route navigated once, and the situations of congestion, slow walking and the like of the route are likely to occur inevitably, so that how to avoid the traffic black spots becomes a great problem to be solved by the user.
Aiming at the defects in various aspects of the prior art, the inventor of the application provides a vehicle, a navigation terminal and a travel road condition construction method based on historical navigation data through deep research.
Disclosure of Invention
The invention aims to provide a vehicle, a navigation terminal and a travel road condition construction method based on historical navigation data, which can reproduce road conditions according to historical data of a user in application scenes such as navigation and the like, so that the user can remember and know the details of the road conditions, unnecessary traffic road conditions are avoided, and the user is facilitated.
In order to solve the above technical problem, the present application provides a method for constructing a route road condition based on historical navigation data, where as an implementation manner, the method for constructing a route road condition based on historical navigation data includes the steps of:
acquiring a planned navigation route of a user;
searching whether matched historical navigation data exists according to the planned navigation route;
if the matched historical navigation data exists, acquiring the historical navigation data, and constructing the historical travel road condition of the planned navigation route according to the historical navigation data;
and prompting the historical travel road condition.
As an implementation manner, the step of constructing the historical travel road condition of the planned navigation route according to the historical navigation data specifically includes the following steps:
acquiring a track point sequence of the historical navigation data;
calculating the interval speed between the track point arrays;
judging the corresponding section road condition according to the section speed;
and integrating the road conditions of a plurality of sections to obtain the historical travel road conditions.
As an implementation manner, the step of determining the corresponding section road condition according to the section speed specifically includes the following steps:
comparing the interval speed with a plurality of preset speed ranges to identify and obtain a speed range to which the interval speed belongs;
and judging the corresponding section road conditions according to the speed range to which the section speed belongs, wherein different speed ranges are defined to correspond to different section road conditions.
As one embodiment, the step of determining the corresponding section road condition according to the speed range to which the section speed belongs further includes the following steps:
acquiring longitude and latitude information of the road conditions in the section;
judging the environmental factors of the road conditions in the section according to the longitude and latitude information;
and correcting the road condition of the section according to the environmental factors.
As an implementation manner, the step of constructing the historical travel road condition of the planned navigation route according to the historical navigation data further includes the following steps:
acquiring a plurality of reference journey road conditions corresponding to the historical journey road conditions, which are provided by other users, through a wireless network or a wired network;
judging whether the multiple reference journey road conditions are completely matched with the historical journey road conditions;
and if the historical travel road conditions are not completely matched with the historical travel road conditions, the historical travel road conditions are corrected according to the multiple reference travel road conditions.
As one embodiment, the step of prompting the historical travel road condition further includes the following steps:
acquiring interval time consumption corresponding to each interval road condition;
summing the multiple section time consumptions corresponding to the multiple section road conditions to obtain a travel time consumption;
and prompting the travel time consumption and/or the interval time consumption.
As an implementation manner, the step of obtaining the planned navigation route of the user specifically includes the following processes:
and acquiring the planned navigation route according to a starting point and an end point input by a user, or processing the rough route manually drawn on a navigation map interface by the user to obtain the planned navigation route.
As one embodiment, the historical navigation data is collected via a mobile communication terminal and/or a car machine device, and the collection process includes the following steps:
the method comprises the steps that a traffic live scene is shot through a camera device detachably arranged on a vehicle;
collecting operation signals of a vehicle driver through various sensors detachably arranged on a vehicle, wherein the operation signals comprise at least three of time, steering wheel rotation vectors, GPS parameters, brakes, an accelerator, a hand brake, a clutch, light and the hand brake;
transmitting the traffic live or the operation signal through a high-speed interconnection bus detachably arranged on a vehicle;
and processing the traffic live condition and the operation signal by utilizing a mobile communication terminal and/or a vehicle machine device, and performing one-to-one corresponding storage by combining track points and time of geographic positions to obtain the historical navigation data.
In order to solve the technical problem, the present application further provides a navigation terminal, as one implementation manner, the navigation terminal is configured with a processor, and the processor is configured to execute program data, so that the navigation terminal executes the above-mentioned route road condition construction method based on historical navigation data.
In order to solve the above technical problem, the present application further provides a vehicle, as one embodiment of which, the navigation terminal is configured.
According to the vehicle, the navigation terminal and the historical navigation data-based travel road condition construction method, the planned navigation route of a user is obtained, whether matched historical navigation data exist or not is found according to the planned navigation route, if matched historical navigation data exist, the historical navigation data are obtained, the historical travel road condition of the planned navigation route is constructed according to the historical navigation data, and the historical travel road condition is prompted. According to the method and the device, under application scenes such as navigation and the like, the road condition can be reproduced according to historical data of the user, the user can remember and know the road condition details once, unnecessary traffic road conditions are avoided, and the user is facilitated.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present application more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
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Fig. 1 is a schematic flow chart of an embodiment of a method for constructing a route road condition based on historical navigation data according to the present application.
Fig. 2 is a schematic structural diagram of an embodiment of a navigation terminal according to the present application.
Fig. 3 is a schematic structural diagram of an embodiment of the vehicle according to the present application.
Detailed Description
To further clarify the technical measures and effects adopted by the present application to achieve the intended purpose, the following detailed description of the embodiments, methods, steps, features and effects of the present application will be made with reference to the accompanying drawings and preferred embodiments.
The foregoing and other technical matters, features and effects of the present application will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present application has been described in terms of specific embodiments and examples for achieving the desired objects and objectives, it is to be understood that the invention is not limited to the disclosed embodiments, but is to be accorded the widest scope consistent with the principles and novel features as defined by the appended claims.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of a method for constructing a route road condition based on historical navigation data according to the present application.
It should be particularly noted that the method for constructing a route road condition based on historical navigation data according to the present embodiment may include, but is not limited to, the following steps.
Step S101, acquiring a planned navigation route of a user;
step S102, searching whether matched historical navigation data exists according to the planned navigation route;
step S103, if matched historical navigation data exists, acquiring the historical navigation data, and constructing the historical travel road condition of the planned navigation route according to the historical navigation data;
it should be noted that in the present embodiment, if there is no matching historical navigation data, the execution is stopped, or the historical navigation data uploaded by other users is used for reference.
And step S104, prompting the historical travel road condition.
It should be noted that the prompting mode of the present embodiment may be a voice prompting mode or a display screen displaying mode. It is understood that, in the embodiment, the historical navigation data is directly displayed on the navigation map, so that the user can know the current travel road condition more visually, the current travel road condition is clear, and convenience is brought to the user.
In a specific implementation process, the step of constructing the historical travel road condition of the planned navigation route according to the historical navigation data in the embodiment specifically includes the following steps: acquiring a track point sequence of the historical navigation data; calculating the interval speed between the track point arrays; judging the corresponding section road condition according to the section speed; and integrating the road conditions of a plurality of sections to obtain the historical travel road conditions.
It is understood that the track point sequence of the present embodiment may be track points divided according to different rules along the navigation route, and specifically may be divided according to driving environments, population density, or traffic flow.
It should be noted that, the step of determining the corresponding section road condition according to the section speed in the embodiment specifically includes the following processes: comparing the interval speed with a plurality of preset speed ranges to identify and obtain a speed range to which the interval speed belongs; and judging the corresponding section road conditions according to the speed range to which the section speed belongs, wherein different speed ranges are defined to correspond to different section road conditions.
Specifically, the speed ranges of the embodiment can be 0-10 km/h, 10-20 km/h, 20-50 km/h and the like, and correspondingly, the road conditions in the section can be congestion, slow running, smooth and the like.
It is worth mentioning that, part of the road conditions may be caused by temporary weather environmental factors, such as heavy rain and snow, and to solve such a situation, the step of determining the corresponding section road conditions according to the speed range to which the section speed belongs in the embodiment further includes the following steps: acquiring longitude and latitude information of the road conditions in the section; judging the environmental factors of the road conditions in the section according to the longitude and latitude information; and correcting the road condition of the section according to the environmental factors.
It should be added that, in order to avoid personal data errors of the user, the present embodiment may refer to other user data of the network, specifically, the step of constructing the historical route road condition of the planned navigation route according to the historical navigation data in the present embodiment further includes the following steps: acquiring a plurality of reference journey road conditions corresponding to the historical journey road conditions, which are provided by other users, through a wireless network or a wired network; judging whether the multiple reference journey road conditions are completely matched with the historical journey road conditions; and if the historical travel road conditions are not completely matched with the historical travel road conditions, the historical travel road conditions are corrected according to the multiple reference travel road conditions.
Further, in this embodiment, time may be added to the road condition to prompt the road condition, and the step of prompting the historical route road condition further includes the following steps: acquiring interval time consumption corresponding to each interval road condition; summing the multiple section time consumptions corresponding to the multiple section road conditions to obtain a travel time consumption; and prompting the travel time consumption and/or the interval time consumption.
In this embodiment, the step of obtaining the planned navigation route of the user specifically includes the following steps: and acquiring the planned navigation route according to a starting point and an end point input by a user, or processing the rough route manually drawn on a navigation map interface by the user to obtain the planned navigation route.
It should be noted that, in this embodiment, the historical navigation data may be collected via a mobile communication terminal and/or a car-mounted device, and the collection process includes the following steps:
the method comprises the steps that a traffic live scene is shot through a camera device detachably arranged on a vehicle;
collecting operation signals of a vehicle driver through various sensors detachably arranged on a vehicle, wherein the operation signals comprise at least three of time, steering wheel rotation vectors, GPS parameters, brakes, an accelerator, a hand brake, a clutch, light and the hand brake;
transmitting the traffic live or the operation signal through a high-speed interconnection bus detachably arranged on a vehicle;
and processing the traffic live condition and the operation signal by utilizing a mobile communication terminal and/or a vehicle machine device, and performing one-to-one corresponding storage by combining track points and time of geographic positions to obtain the historical navigation data.
According to the method and the device, under application scenes such as navigation and the like, the road condition can be reproduced according to historical data of the user, the user can remember and know the road condition details once, unnecessary traffic road conditions are avoided, and the user is facilitated.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an embodiment of a navigation terminal according to the present application.
In the present embodiment, a navigation terminal is provided, where the navigation terminal is configured with a processor 21, and the processor 21 is configured to execute program data, so that the navigation terminal executes the method for constructing a route road condition based on historical navigation data according to the above embodiment.
It should be particularly noted that the navigation terminal in this embodiment may be a car machine device, a mobile phone, a dedicated navigation instrument, or the like.
Specifically, the processor 21 is configured to obtain a planned navigation route of the user;
the processor 21 is configured to find whether there is matching historical navigation data according to the planned navigation route;
the processor 21 is configured to obtain historical navigation data if there is matching historical navigation data, and construct a historical travel road condition of the planned navigation route according to the historical navigation data;
it should be noted that in the present embodiment, if there is no matching historical navigation data, the execution is stopped, or the historical navigation data uploaded by other users is used for reference.
The processor 21 is configured to prompt the historical route road condition.
It should be noted that the prompting mode of the present embodiment may be a voice prompting mode or a display screen displaying mode.
In a specific implementation process, the processor 21 in this embodiment is specifically configured to obtain a track point number sequence of the historical navigation data; calculating the interval speed between the track point arrays; judging the corresponding section road condition according to the section speed; and integrating the road conditions of a plurality of sections to obtain the historical travel road conditions.
It is understood that the track point sequence of the present embodiment may be track points divided according to different rules along the navigation route, and specifically may be divided according to driving environments, population density, or traffic flow.
It should be noted that, in the present embodiment, the processor 21 is specifically configured to compare the interval speed with a plurality of preset speed ranges to identify a speed range to which the interval speed belongs; and judging the corresponding section road conditions according to the speed range to which the section speed belongs, wherein different speed ranges are defined to correspond to different section road conditions.
Specifically, the speed ranges of the embodiment can be 0-10 km/h, 10-20 km/h, 20-50 km/h and the like, and correspondingly, the road conditions in the section can be congestion, slow running, smooth and the like.
It is worth mentioning that, part of the road conditions may be caused by temporary weather environmental factors, such as heavy rain and snow, and to solve this problem, the processor 21 in this embodiment is further configured to obtain longitude and latitude information of the road conditions in the section; judging the environmental factors of the road conditions in the section according to the longitude and latitude information; and correcting the road condition of the section according to the environmental factors.
It should be added that, in order to avoid personal data errors of the user, the embodiment may refer to other user data of the network, and specifically, the processor 21 of the embodiment is further specifically configured to obtain a plurality of reference route road conditions corresponding to the historical route road conditions provided by other users through a wireless network or a wired network; judging whether the multiple reference journey road conditions are completely matched with the historical journey road conditions; and if the historical travel road conditions are not completely matched with the historical travel road conditions, the historical travel road conditions are corrected according to the multiple reference travel road conditions.
Further, in this embodiment, time may also be added to the road conditions to prompt, and the processor 21 is further configured to obtain time consumption of the section corresponding to the road conditions in each section; summing the multiple section time consumptions corresponding to the multiple section road conditions to obtain a travel time consumption; and prompting the travel time consumption and/or the interval time consumption.
In this embodiment, the processor 21 is specifically configured to obtain the planned navigation route according to a starting point and an ending point input by a user, or obtain the planned navigation route according to rough route processing manually drawn on a navigation map interface by the user.
It should be noted that the process of acquiring the historical navigation data in this embodiment includes the following steps:
the method comprises the steps that a traffic live scene is shot through a camera device detachably arranged on a vehicle;
collecting operation signals of a vehicle driver through various sensors detachably arranged on a vehicle, wherein the operation signals comprise at least three of time, steering wheel rotation vectors, GPS parameters, brakes, an accelerator, a hand brake, a clutch, light and the hand brake;
transmitting the traffic live or the operation signal through a high-speed interconnection bus detachably arranged on a vehicle;
and processing the traffic live condition and the operation signal by utilizing a mobile communication terminal and/or a vehicle machine device, and performing one-to-one corresponding storage by combining track points and time of geographic positions to obtain the historical navigation data.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a vehicle according to the present application.
It should be noted that, in the vehicle according to this embodiment, the navigation terminal is configured, and the navigation terminal may be an in-vehicle device.
In fig. 3, the vehicle may further include, but is not limited to, a camera device 31, various sensors 32, a processor 33, and a high-speed interconnection bus 34, wherein the processor 33 is connected to the camera device 31 and the various sensors 32 through the high-speed interconnection bus 34, respectively.
The camera device 31 is detachably disposed on the vehicle, and is used for shooting a traffic live scene; the multiple sensors 32 are detachably arranged on the vehicle and used for collecting operation signals of a vehicle driver, wherein the operation signals comprise at least three of time, steering wheel rotation vectors, GPS parameters, brakes, an accelerator, a hand brake, a clutch, light and a hand brake; the high-speed interconnection bus 34 is detachably arranged on the vehicle and is used for transmitting the traffic condition or the operation signal; the processor 33 is detachably arranged on the vehicle and used for processing to obtain historical navigation data according to the traffic live condition and the operation signal and by combining the track point sequence and time.
In particular, the high-speed interconnection bus 34 according to the present embodiment includes a CAN (Controller Area Network) bus, an LVDS (Low Voltage differential signaling) bus, and an ethernet bus. In this way, the embodiment does not need to rely on a network and a cloud server, data transmission can be realized in some non-network environments, such as tunnels, suburbs and other places with poor signals, and the situation that signal transmission is easy to interrupt and the live video is influenced can not occur.
Furthermore, the embodiment CAN accurately identify the conditions of small steering wheel rotation, small brake force and the like in a CAN bus mode, and avoids the condition of error caused by action identification through video shooting in the prior art. It will also be appreciated that the digital processing of the driving maneuver may be accomplished by way of the various sensors 32 in cooperation with the high speed interconnect bus 34.
In the present embodiment, the image capturing device 31 may be a vehicle data recorder or a 360-degree camera of the vehicle, and the processor 33 may be an onboard processor or a vehicle data recorder processor.
It should be noted that the onboard processor may be an MCU (microprocessor) of the in-vehicle device.
It is worth mentioning that, in order to realize the precise synthesis and one-to-one correspondence of the traffic live and operation signals, the automobile data recorder and the processor 33 are synchronized and time-aligned in communication through the high-speed interconnection bus 34.
In the present application, the method and the system for constructing a route road condition based on historical navigation data of a vehicle CAN be applied to a vehicle system having a vehicle machine or a vehicle TBOX, and CAN be further connected to a CAN bus of the vehicle.
In one embodiment, the CAN bus may include three network channels CAN _1, CAN _2, and CAN _3, and the vehicle may be provided with one ethernet network channel, three of the CAN network channels may be connected to the ethernet network channel through two car networking gateways, for example, wherein the CAN _1 network channel comprises a hybrid power assembly system, wherein the CAN _2 network channel comprises an operation guarantee system, wherein the CAN _3 network channel comprises an electric dynamometer system, the Ethernet network channel comprises a high-level management system, the advanced management system comprises a man-vehicle-road simulation system and a comprehensive information acquisition unit which are connected with an Ethernet network channel as nodes, the vehicle networking gateways of the CAN _1 network channel, the CAN _2 network channel and the Ethernet network channel CAN be integrated in the comprehensive information acquisition unit; the car networking gateway of the CAN _3 network channel and the Ethernet network channel CAN be integrated in a man-car-road simulation system.
Further, the nodes connected to the CAN _1 network channel include: an engine ECU (electronic Control Unit), a motor MCU, a BATTERY BMS (BATTERY MANAGEMENT SYSTEM, a BATTERY management system), an automatic Transmission TCU (Transmission Control Unit), and a hybrid processor HCU (hybrid vehicle Control Unit); the nodes connected with the CAN _2 network channel are as follows: the system comprises a rack measurement and control system, an accelerator sensor group, a power analyzer, an instantaneous oil consumption instrument, a direct-current power supply cabinet, an engine water temperature control system, an engine oil temperature control system, a motor water temperature control system and an engine intercooling temperature control system; the nodes connected with the CAN _3 network channel are as follows: an electric dynamometer processor.
The preferable speed of the CAN _1 network channel is 250Kbps, and a J1939 protocol is adopted; the rate of the CAN _2 network channel is 500Kbps, and a CANopen protocol is adopted; the rate of the CAN _3 network channel is 1Mbps, and a CANopen protocol is adopted; the rate of the Ethernet network channel is 10/100Mbps, and a TCP/IP protocol is adopted.
In one embodiment, the vehicle networking gateway may be equipped with an IEEE802.3 interface, a DSPI interface, an eSCI interface, a CAN interface, an MLB interface, a LIN interface, and/or an I2C interface.
In one embodiment, for example, the IEEE802.3 interface may be used to connect to a wireless router to provide a WIFI network for the entire vehicle; the DSPI (provider manager component) interface is used for connecting a Bluetooth adapter and an NFC (near field communication) adapter and can provide Bluetooth connection and NFC connection; the eSCI interface is used for connecting the 4G/5G module and communicating with the Internet; the CAN interface is used for connecting a vehicle CAN bus; the MLB interface is used for connecting an MOST (media oriented system transmission) bus in the vehicle, and the LIN interface is used for connecting a LIN (local interconnect network) bus in the vehicle; the IC interface is used for connecting a DSRC (dedicated short-range communication) module and a fingerprint identification module. In addition, the application can merge different networks by mutually converting different protocols by adopting the MPC5668G chip.
In addition, in the vehicle TBOX system, Telematics BOX in the present embodiment is simply referred to as a vehicle TBOX or a Telematics.
Telematics is a synthesis of Telecommunications and information science (information) and is defined as a service system that provides information through a computer system, a wireless communication technology, a satellite navigation device, and an internet technology that exchanges information such as text and voice, which are built in a vehicle. In short, the vehicle is connected to the internet (vehicle networking system) through a wireless network, and various information necessary for driving and life is provided for the vehicle owner.
In addition, Telematics is a combination of wireless communication technology, satellite navigation system, network communication technology and vehicle-mounted computer, when a fault occurs during vehicle running, the vehicle is remotely diagnosed by connecting a service center through wireless communication, and the computer built in the engine can record the state of main parts of the vehicle and provide accurate fault position and reason for maintenance personnel at any time. The vehicle can receive information and check traffic maps, road condition introduction, traffic information, safety and public security services, entertainment information services and the like through the user communication terminal, and in addition, the vehicle of the embodiment can be provided with electronic games and network application in a rear seat. It is easy to understand that, this embodiment provides service through Telematics, can make things convenient for the user to know traffic information, the parking stall situation that closes on the parking area, confirms current position, can also be connected with the network server at home, in time knows electrical apparatus running condition, the safety condition and guest's condition of visiting etc. at home.
In one embodiment, the vehicle may further be provided with an ADAS (Advanced Driver assistance System) which may collect environmental data inside and outside the vehicle at the first time by using the various sensors mounted on the vehicle, and perform technical processes such as identification, detection, tracking, and the like of static and dynamic objects, so that a Driver can perceive a possible danger at the fastest time to attract attention and improve safety. Correspondingly, the ADAS of the present application may also employ sensors such as radar, laser, and ultrasonic sensors, which can detect light, heat, pressure, or other variables for monitoring the state of the vehicle, and are usually located on the front and rear bumpers, side view mirrors, the inside of the steering column, or on the windshield of the vehicle. It is obvious that various intelligent hardware used by the ADAS function can be accessed to the car networking system by means of an ethernet link to realize communication connection and interaction.
The host computer of the present embodiment vehicle may comprise suitable logic, circuitry, and/or code that may enable operation and/or functional operation of the five layers above the OSI model (Open System Interconnection, Open communication systems Interconnection reference model). Thus, the host may generate and/or process packets for transmission over the network, and may also process packets received from the network. At the same time, the host may provide services to a local user and/or one or more remote users or network nodes by executing corresponding instructions and/or running one or more applications. In various embodiments of the present application, the host may employ one or more security protocols.
In one embodiment, the network connection for the vehicle networking system may be a switch, which may have AVB functionality (Audio Video brightening, meeting the IEEE802.1 set of standards), and/or may include one or more unshielded twisted pair wires, each of which may have an 8P8C module connector.
In a preferred embodiment, the vehicle networking system specifically comprises a vehicle body control module BCM, a power bus P-CAN, a vehicle body bus I-CAN, a combination meter CMIC, a chassis control device and a vehicle body control device.
In this embodiment, the body control module BCM may integrate the functions of the car networking gateway to perform signal conversion, message forwarding, and the like between different network segments, i.e., the power bus P-CAN and the body bus I-CAN, for example, if a processor connected to the power bus needs to communicate with a processor connected to the body bus I-CAN, the body control module BCM may perform signal conversion, message forwarding, and the like between the two processors.
The power bus P-CAN and the vehicle body bus I-CAN are respectively connected with a vehicle body control module BCM.
The combination instrument CMIC is connected with a power bus P-CAN, and the combination instrument CMIC is connected with a vehicle body bus I-CAN. Preferably, the combination meter CMIC of the present embodiment is connected to different buses, such as a power bus P-CAN and a vehicle body bus I-CAN, and when the combination meter CMIC needs to acquire processor information that is attached to any bus, it is not necessary to perform signal conversion and message forwarding through a vehicle body control module BCM, so that gateway pressure CAN be reduced, network load CAN be reduced, and the speed of acquiring information by the combination meter CMIC CAN be increased.
The chassis control device is connected with the power bus P-CAN. The vehicle body control device is connected with a vehicle body bus I-CAN. In some examples, the chassis control device and the vehicle body control device CAN respectively broadcast data such as information to the power bus P-CAN and the vehicle body bus I-CAN, so that other vehicle-mounted processors and other devices hung on the power bus P-CAN or the vehicle body bus I-CAN CAN acquire the broadcast information, and communication between the vehicle-mounted devices such as different processors is realized.
In addition, in the car networking system of the vehicle of the embodiment, two CAN buses, namely a power bus P-CAN and a car body bus I-CAN, CAN be used, the car body control module BCM is used as a gateway, and the structure that the combination instrument CMIC is connected with both the power bus P-CAN and the car body bus I-CAN is adopted, so that the operation that information of a chassis control device or a car body control device is forwarded to the combination instrument CMIC through the gateway when the combination instrument CMIC is hung on one of the two buses in the traditional mode CAN be omitted, therefore, the pressure of the car body control module BCM as the gateway is relieved, the network load is reduced, and information of vehicle-mounted equipment hung on a plurality of buses, such as the power bus P-CAN and the car body bus I-CAN, CAN be sent to the combination instrument CMIC for display and the information transmission is strong in real-time.
The present application will be described in detail below with reference to specific application examples thereof.
For example how long did the user wish to specify that he was blocked in Hangzhou on the weekend? Where is the most obstructed?
1. Acquiring a track point sequence of historical navigation data of a historical travel;
2. traversing and judging an interval speed value v, setting a point of the interval speed within a certain speed range (for example, 1< v <10) as congestion, and setting a point of the interval speed within an interval (10< v <20) as slow running;
3. counting sequences of a plurality of subintervals of the journey, and finding a slow-moving section, a congestion section and the like;
4. judging which section has the longest time according to the time interval of each congestion section, and matching the geographical position of the track point according to the longitude and latitude of the track point;
5. and accumulating the time consumption of each subinterval to obtain the total congestion time, the total buffer time and the like.
Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being included within the following description of the preferred embodiment.
Claims (10)
1. A travel road condition construction method based on historical navigation data is characterized by comprising the following steps:
acquiring a planned navigation route of a user;
searching whether matched historical navigation data exists according to the planned navigation route;
if the matched historical navigation data exists, acquiring the historical navigation data, and constructing the historical travel road condition of the planned navigation route according to the historical navigation data;
and prompting the historical travel road condition.
2. The historical navigation data-based travel road condition construction method according to claim 1, wherein the step of constructing the historical travel road condition of the planned navigation route according to the historical navigation data specifically comprises the following steps:
acquiring a track point sequence of the historical navigation data;
calculating the interval speed between the track point arrays;
judging the corresponding section road condition according to the section speed;
and integrating the road conditions of a plurality of sections to obtain the historical travel road conditions.
3. The method for constructing a route traffic condition based on historical navigation data according to claim 2, wherein the step of determining the corresponding section traffic condition according to the section speed specifically comprises the following steps:
comparing the interval speed with a plurality of preset speed ranges to identify and obtain a speed range to which the interval speed belongs;
and judging the corresponding section road conditions according to the speed range to which the section speed belongs, wherein different speed ranges are defined to correspond to different section road conditions.
4. The method according to claim 3, wherein the step of determining the corresponding section road condition according to the speed range to which the section speed belongs further comprises the following steps:
acquiring longitude and latitude information of the road conditions in the section;
judging the environmental factors of the road conditions in the section according to the longitude and latitude information;
and correcting the road condition of the section according to the environmental factors.
5. The historical navigation data-based travel road condition construction method according to any one of claims 1-4, wherein the step of constructing the historical travel road condition of the planned navigation route according to the historical navigation data further comprises the following steps:
acquiring a plurality of reference journey road conditions corresponding to the historical journey road conditions, which are provided by other users, through a wireless network or a wired network;
judging whether the multiple reference journey road conditions are completely matched with the historical journey road conditions;
and if the historical travel road conditions are not completely matched with the historical travel road conditions, the historical travel road conditions are corrected according to the multiple reference travel road conditions.
6. The method according to claim 3, wherein the step of prompting the historical travel road condition further comprises the following steps:
acquiring interval time consumption corresponding to each interval road condition;
summing the multiple section time consumptions corresponding to the multiple section road conditions to obtain a travel time consumption;
and prompting the travel time consumption and/or the interval time consumption.
7. The method for constructing a route and road condition based on historical navigation data according to claim 3, wherein the step of obtaining the planned navigation route of the user specifically comprises the following steps:
and acquiring the planned navigation route according to a starting point and an end point input by a user, or processing the rough route manually drawn on a navigation map interface by the user to obtain the planned navigation route.
8. The method for constructing the journey and road condition based on the historical navigation data as claimed in claim 3, wherein the historical navigation data is collected via a mobile communication terminal and/or a vehicle-mounted device, and the collection process comprises the following steps:
the method comprises the steps that a traffic live scene is shot through a camera device detachably arranged on a vehicle;
collecting operation signals of a vehicle driver through various sensors detachably arranged on a vehicle, wherein the operation signals comprise at least three of time, steering wheel rotation vectors, GPS parameters, brakes, an accelerator, a hand brake, a clutch, light and the hand brake;
transmitting the traffic live or the operation signal through a high-speed interconnection bus detachably arranged on a vehicle;
and processing the traffic live condition and the operation signal by utilizing a mobile communication terminal and/or a vehicle machine device, and performing one-to-one corresponding storage by combining track points and time of geographic positions to obtain the historical navigation data.
9. A navigation terminal, characterized in that the navigation terminal is configured with a processor for executing program data to make the navigation terminal execute the method for constructing travel road condition based on historical navigation data according to any one of claims 1-8.
10. A vehicle characterized in that it is provided with a navigation terminal according to claim 9.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102768797A (en) * | 2012-01-12 | 2012-11-07 | 北京中广睛彩导航科技有限公司 | Urban road condition information evaluation method and device |
| US20120316772A1 (en) * | 2011-06-13 | 2012-12-13 | Inventec Appliances (Pudong) Corporation | Navigation system and method for planning route thereof |
| CN103093516A (en) * | 2012-12-25 | 2013-05-08 | 北京理工大学 | Vehicle trajectory replaying system |
| CN104567897A (en) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资（上海）有限公司 | Road condition forecast combined path planning method and navigation device |
| CN104616520A (en) * | 2014-05-09 | 2015-05-13 | 腾讯科技（深圳）有限公司 | Method and device for dynamically recording navigation trail |
| CN105466443A (en) * | 2015-12-24 | 2016-04-06 | 魅族科技（中国）有限公司 | Navigation method and terminal |
| CN106297358A (en) * | 2016-10-28 | 2017-01-04 | 腾讯科技（深圳）有限公司 | The implementation method of road condition predicting and device |
| CN107204113A (en) * | 2016-03-17 | 2017-09-26 | 高德软件有限公司 | Determine the methods, devices and systems of congestion in road state |
| CN107702729A (en) * | 2017-09-06 | 2018-02-16 | 东南大学 | A kind of automobile navigation method and system for considering expected road conditions |
-
2018
- 2018-10-15 CN CN201811198817.9A patent/CN111044064A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120316772A1 (en) * | 2011-06-13 | 2012-12-13 | Inventec Appliances (Pudong) Corporation | Navigation system and method for planning route thereof |
| CN102768797A (en) * | 2012-01-12 | 2012-11-07 | 北京中广睛彩导航科技有限公司 | Urban road condition information evaluation method and device |
| CN103093516A (en) * | 2012-12-25 | 2013-05-08 | 北京理工大学 | Vehicle trajectory replaying system |
| CN104567897A (en) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资（上海）有限公司 | Road condition forecast combined path planning method and navigation device |
| CN104616520A (en) * | 2014-05-09 | 2015-05-13 | 腾讯科技（深圳）有限公司 | Method and device for dynamically recording navigation trail |
| CN105466443A (en) * | 2015-12-24 | 2016-04-06 | 魅族科技（中国）有限公司 | Navigation method and terminal |
| CN107204113A (en) * | 2016-03-17 | 2017-09-26 | 高德软件有限公司 | Determine the methods, devices and systems of congestion in road state |
| CN106297358A (en) * | 2016-10-28 | 2017-01-04 | 腾讯科技（深圳）有限公司 | The implementation method of road condition predicting and device |
| CN107702729A (en) * | 2017-09-06 | 2018-02-16 | 东南大学 | A kind of automobile navigation method and system for considering expected road conditions |
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Address after: Room 208, building 4, 1411 Yecheng Road, Jiading District, Shanghai, 201821 Applicant after: Botai vehicle networking technology (Shanghai) Co.,Ltd. Address before: Room 208, building 4, 1411 Yecheng Road, Jiading District, Shanghai, 201821 Applicant before: SHANGHAI PATEO ELECTRONIC EQUIPMENT MANUFACTURING Co.,Ltd. |
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Application publication date: 20200421 |