CN105261214B - Road condition prediction method, device and server - Google Patents
Road condition prediction method, device and server Download PDFInfo
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- CN105261214B CN105261214B CN201510647007.7A CN201510647007A CN105261214B CN 105261214 B CN105261214 B CN 105261214B CN 201510647007 A CN201510647007 A CN 201510647007A CN 105261214 B CN105261214 B CN 105261214B
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Abstract
The invention discloses a road condition prediction method, a road condition prediction device and a server, wherein the road condition prediction method comprises the following steps: monitoring vehicle running parameters of a running vehicle, and reporting the vehicle running parameters to a server; and receiving the road condition information of the current driving road section of the vehicle, which is analyzed and predicted by the server according to the vehicle driving parameters, and outputting and displaying the road condition information. The embodiment of the invention can accurately and timely predict the conditions of congestion, smoothness or imminent congestion of the road section according to the reported vehicle running parameters, so that a driver can select the optimal travel route according to the corresponding road condition information, the smooth road section is selected by effectively avoiding the road section that is imminent congestion occurs, and great convenience is provided for people to travel.
Description
Technical Field
The present invention relates to the field of electronic communications technologies, and in particular, to a road condition prediction method, an apparatus, and a server.
Background
With the popularization of automobiles, the pressure on traffic conditions is increasing. In order to save time and avoid traffic congestion, people know the traffic conditions of all road sections through some electronic devices (such as vehicle-mounted radios and the like). Therefore, the traffic road conditions of the current road sections need to be acquired in advance. The currently commonly adopted modes for acquiring traffic road conditions of all road sections mainly include the following three modes:
(1) the traffic road condition is obtained through the floating car model, namely the speed and the direction of the floating car are recorded by the GPS, and then the road condition is calculated according to road matching. Floating cars are often the primary application provided by taxi companies.
(2) The speed of vehicles passing through a road section is recorded by adopting a ground sensing coil, a speed measuring camera and the like, the traffic road condition is calculated by analyzing the data, and the data is generally mastered by a government department of state and institution and is inconvenient for a third party to obtain, namely the third party utilizes the data to predict the road condition.
(3) The traffic road condition is obtained by a fixed-point reporting mode, namely, special reporting personnel or equipment is arranged at a fixed place to report the road condition in real time.
Although the traffic road condition information can be obtained through the three modes, the traffic road condition information is usually lagged, and a certain access exists compared with the road condition of each road section, for example, the obtained congestion road condition information is usually after congestion occurs, so that a driver cannot find and avoid the road section which is about to enter the congestion state in time.
Disclosure of Invention
The invention aims to provide a road condition prediction method, a road condition prediction device and a server, so that road condition information can be accurately predicted in time, and people can drive vehicles to go out conveniently.
The purpose of the invention is realized by the following technical scheme:
a road condition prediction method comprises the following steps:
monitoring vehicle running parameters of a running vehicle, and reporting the vehicle running parameters to a server;
and receiving the road condition information of the current driving road section of the vehicle, which is obtained by the server according to the analysis and prediction of the vehicle driving parameters, and outputting and displaying the road condition information.
The vehicle running parameters include: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle.
The step of analyzing and predicting road condition information of a road section currently driven by the vehicle comprises the following steps:
in a preset time period, judging that the number of vehicles with the vehicle running speed reaching a first preset speed value in the current running road section of the vehicle exceeds a first preset value according to the vehicle running parameters, and determining that the current running road section of the vehicle is smooth;
and/or the presence of a gas in the gas,
in a preset time period, judging that the number of vehicles with the vehicle running speed lower than a second preset speed value in the current running road section of the vehicle exceeds a second preset value according to the vehicle running parameters, and then confirming that the current running road section of the vehicle is congested;
and/or the presence of a gas in the gas,
in a preset time period, judging whether the vehicle starting or braking frequency in the current running road section of the vehicle reaches a preset value according to the vehicle running parameters, and if the vehicle running speed is lower than a third preset speed value, confirming that the current running road section of the vehicle is in a congestion coming state;
and/or the presence of a gas in the gas,
and judging the number of vehicles about to enter each road section according to the vehicle running parameters, and predicting road condition information of each road section in a future preset time period according to the number of the vehicles.
The method further comprises the following steps:
monitoring vehicle running stability parameters of a running vehicle, and reporting to the server;
and the receiving server judges the road condition of the current running road section of the vehicle according to the running stability parameter of the vehicle and displays the road condition.
A road condition prediction device includes:
a running parameter monitoring unit for monitoring a vehicle running parameter of a running vehicle;
the parameter reporting unit is used for reporting the vehicle running parameters obtained by monitoring of the running parameter monitoring unit to a server;
and the receiving unit is used for receiving the road condition information of the current driving road section of the vehicle, which is obtained by analyzing and predicting the driving parameters of the vehicle reported by the parameter reporting unit by the server, and outputting and displaying the road condition information.
The vehicle running parameters include: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle.
The device also includes:
and the stability parameter monitoring unit is used for monitoring the vehicle running stability parameter of the running vehicle, reporting the vehicle running stability parameter to the server through the parameter reporting unit, judging the road condition of the current running road section of the vehicle according to the vehicle running stability parameter by the server, and outputting and displaying the road condition.
A traffic prediction server, comprising:
a driving parameter receiving unit for receiving vehicle driving parameters of a vehicle in driving;
the road condition prediction unit is used for analyzing and predicting road condition information of the current driving road section of the vehicle according to the vehicle driving parameters received by the driving parameter receiving unit;
and the road condition information output unit is used for outputting the road condition information predicted by the road condition prediction unit to a road condition display end.
The road condition prediction unit includes:
the first road condition prediction subunit is used for judging whether the number of vehicles with the vehicle running speed reaching a preset value in the current running road section of the vehicle exceeds a first preset value according to the vehicle running parameters in a preset time period, and then confirming that the current running road section of the vehicle is smooth;
and/or the presence of a gas in the gas,
the second road condition prediction subunit is used for determining that the number of vehicles with the vehicle running speed lower than a preset value in the current running road section of the vehicle exceeds a second preset value according to the vehicle running parameters in a preset time period, and then determining that the current running road section of the vehicle is congested;
and/or the presence of a gas in the gas,
the third road condition prediction subunit is used for judging whether the vehicle starting or braking frequency in the current running road section of the vehicle reaches a preset value according to the vehicle running parameters in a preset time period, and if the vehicle running speed is lower than a preset speed value, confirming that the current running road section of the vehicle is about to enter a congestion state;
and/or the presence of a gas in the gas,
the fourth road condition prediction subunit is used for judging the number of vehicles about to enter each road section according to the vehicle running parameters and predicting road condition information of each road section in a future preset time period according to the number of the vehicles;
and/or the presence of a gas in the gas,
and the fifth road condition prediction subunit is used for judging the road condition of the current running road section of the vehicle according to the vehicle running stability parameter in the vehicle running parameters.
The road condition display terminal comprises: the electronic map system comprises a vehicle-mounted electronic map device, a mobile terminal device with a navigation function or a fixed terminal device loaded with an electronic map.
According to the technical scheme provided by the invention, the road condition prediction method, the road condition prediction device and the road condition prediction server provided by the embodiment of the invention can accurately and timely predict the conditions of congestion, unblocked traffic or imminent congestion of a road section according to the reported vehicle running parameters, so that a driver can select an optimal travel route according to corresponding road condition information, the unblocked road section is effectively avoided, great convenience is provided for people to travel, the traffic pressure of the congested or imminent congestion road section can be relieved to a certain extent, and the urban road traffic condition is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a schematic process flow diagram of a method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are 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 embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The embodiment of the invention provides a road condition prediction method, the specific implementation flow of which is shown in fig. 1, and the method can comprise the following processing steps:
specifically, the vehicle running parameters include: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle.
further, the step of analyzing the traffic information of the road section predicted to be currently driven by the vehicle may include at least one of the following processing manners:
the first method is as follows: in a preset time period, judging whether the number of vehicles with the vehicle running speed reaching a first preset speed value in the current running road section of the vehicle exceeds a first preset value according to the vehicle running parameters, and then confirming that the current running road section of the vehicle is smooth, so that whether the traffic condition of each road section is smooth can be timely and accurately known;
the second method comprises the following steps: in a preset time period, judging that the number of vehicles with the vehicle running speed lower than a second preset speed value in the current running road section of the vehicle exceeds a second preset value according to the vehicle running parameters, and confirming that the current running road section of the vehicle is congested so as to find the congested road section in time;
the corresponding first preset value and the second preset value can be the same or different;
the third method comprises the following steps: in a preset time period, judging whether the starting or braking frequency of the vehicle in the current running road section of the vehicle reaches a preset value according to the vehicle running parameters, and if the running speed of the vehicle is lower than a third preset speed value, confirming that the current running road section of the vehicle is about to enter a congestion state, namely predicting that the road section is about to be congested;
the corresponding first predetermined speed value, the second predetermined speed value and the third predetermined speed value may be the same or different;
the method is as follows: the number of vehicles entering each road section can be judged according to the vehicle running parameters of each vehicle, and the road condition information of each road section in the future preset time period can be judged according to the number of the vehicles entering each road section. For example, when the traffic flow of a certain road section starts to increase, it is determined which other associated road sections are congested due to the increase of the traffic flow, and a congestion early warning prompt is sent in advance for the corresponding associated road section to shunt vehicles and alleviate the congestion condition of the associated road section; alternatively, the road section with congestion often occurring may be monitored and early-warned, that is, the number of vehicles that may enter the road section, the driving speed, and the like are monitored and analyzed to predict the possibility of congestion occurring in the future on the road section, and early-warning prompt may be given when congestion is about to occur.
And 14, outputting and displaying the road condition information.
In the embodiment of the present invention, in order to monitor and obtain the road condition of each road segment, the following processing steps may be further included:
(1) monitoring a vehicle running stability parameter by a running vehicle, and reporting to the server;
(2) the server is according to the road condition that the vehicle was gone the highway section at present is judged to the vehicle smoothness parameter of going, and will road condition sends road conditions display end, like on-vehicle electronic equipment etc. to the navigating mate can learn the road conditions of each highway section, thereby avoids the not good highway section of road condition, promotes the driving sensation in the trip process.
For the purpose of facilitating an understanding of the embodiments of the present invention, a detailed description of specific applications of the embodiments of the present invention will be provided below with reference to the accompanying drawings.
The embodiment of the invention can comprise the following processing processes in the specific application process:
(1) a device for monitoring driving parameters is arranged in the vehicle-mounted electronic equipment;
in the process of specifically applying the embodiment of the invention, the driving condition of the vehicle can be monitored in real time by arranging a G-sensor (gravity sensor), a gyroscope and a magnetic sensor on the vehicle-mounted electronic equipment, or a nine-axis sensor comprising the functions of the three sensors, and the like, in combination with the position information acquired by a GPS (global positioning system) chip.
Wherein, the G-sensor who sets up can perceive the vehicle and go or the acceleration force change of the vertical direction that the acceleration in-process produced, for example vertically rock, fall, rise, various removal changes such as decline can both be turned into the signal of telecommunication by G-sensor, then after the computational analysis through microprocessor, note the numerical value that should produce.
The gyroscope can sense various angles, elevation angles and depression angles of the vehicle, namely ascending and descending, and turning conditions.
The magnetic sensor can be used for sensing the magnetic north pole and determining the driving course of the vehicle.
The set gyroscope can also assist the GPS chip to determine the current position, convert the acquired position information into an electric signal, and record the generated value after calculation and analysis by the microprocessor.
(2) After the setting is completed, the driving parameters of the vehicle may be monitored, and the specific monitoring processing manner may include:
monitoring the vehicle state, and recording the information of the vehicle speed, the starting speed, the braking and/or starting frequency and the like of the vehicle on the same road section in the same time period;
acquiring the position information of vehicles, acquiring the displacement of each vehicle on the same road section in the same time period, calculating the average speed of the vehicle volume, and recording the average speed;
acquiring and recording a numerical value generated in the vertical direction due to shaking;
and acquiring and recording the value generated by acceleration or braking in the horizontal direction.
(3) Uploading the driving parameters recorded in the monitoring process to a server, and performing statistical analysis and prediction on road condition information of corresponding road sections by the server, namely predicting the congestion condition of the road;
when uploading corresponding driving parameters, an instant uploading mode can be adopted, namely, a numerical value is recorded and immediately uploaded to a server; alternatively, a timed uploading mode may be adopted, that is, all the driving parameters recorded in a certain time period are uploaded at intervals.
After obtaining the driving parameters uploaded by each vehicle, the server may predict the traffic information by using at least one of the following processing methods:
the first method is as follows: in the same time period, counting the number of the vehicles with the driving speed reaching a unblocked threshold value (namely a first preset speed value) on a certain road section, and judging that the road section is in an unblocked state if the number of the vehicles reaches a first preset value;
the second method comprises the following steps: counting the number of the acquired vehicles with the braking frequency reaching a slow-moving threshold value (namely a preset value) on a certain road section within a time period, and if the speed of each vehicle is slow (namely the speed of each vehicle is lower than a third preset speed value), judging that the road section is in a slow-moving state, namely predicting that the road section is likely to enter a congestion state;
the third method comprises the following steps: counting the number of the acquired vehicles with the running speed lower than a congestion threshold value (namely a second preset speed value) on a certain road section within a time period, and judging that the road section is in a congestion state when the number of the vehicles reaches a second preset value;
the method is as follows: judging the number of vehicles about to enter a certain road section according to the vehicle running parameters of each vehicle, judging road condition information of the certain road section in a future preset time period according to the number of the vehicles, namely reserving the road section which is possibly congested in the future preset time, and informing a driver to avoid the road section which is possibly congested in time;
the fifth mode is as follows: and judging the road condition of the current running road section of the vehicle according to the vehicle running stability parameter in the vehicle running parameters, specifically, counting the times that the obtained shaking amplitude in the vertical direction of the vehicle reaches a bumping threshold value on the same road section, recording the times when the times reach a preset value, then counting whether the number of the recorded vehicles reaches the preset value, and if the number of the recorded vehicles reaches the preset value, judging that the road condition of the road section is not good (namely the road condition is poor).
(4) And outputting and displaying the road condition information according to the judgment result.
The road condition information can be specifically broadcasted by displaying the road condition on an electronic map or in a voice mode; further, the entity outputting and displaying the traffic information may be a remote electronic device (such as a mobile phone or a vehicle-mounted electronic device) or a local entity device of the server.
The implementation of the technical scheme provided by the embodiment of the invention enables the server side to accurately judge the road condition information according to the driving parameters reported by all vehicles driving on the road, and can predict the future change conditions of the road condition, such as whether congestion is about to occur or not, thereby providing great help for drivers to select the travel route, relieving the traffic pressure of the congested or about-to-be-congested road sections to a certain extent, and improving the urban traffic condition.
The embodiment of the present invention further provides a road condition prediction apparatus, and a specific implementation structure thereof is shown in fig. 2, and the road condition prediction apparatus may include the following processing units:
a running parameter monitoring unit 21 for monitoring a vehicle running parameter of a running vehicle;
and a parameter reporting unit 22, configured to report the vehicle driving parameters obtained by monitoring by the driving parameter monitoring unit 21 to a server.
And the receiving unit 23 is configured to receive the road condition trend of the current driving road section of the vehicle predicted by the server according to the vehicle driving parameters reported by the parameter reporting unit 22, and output and display the road condition trend.
Specifically, the vehicle running parameters monitored by the running parameter monitoring unit 21 may include: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle.
Further, in order to monitor and notify the road condition of each road section, the apparatus may further include:
the stability parameter monitoring unit 24 is configured to monitor a vehicle driving stability parameter of a vehicle during driving, and report the vehicle driving stability parameter to the server through the parameter reporting unit, so that the server determines a road condition of a current driving road section of the vehicle according to the vehicle driving stability parameter, and outputs and displays the road condition, for example, the server sends the road condition to a road condition display terminal (a vehicle-mounted electronic device, etc.) for output and display.
The above-mentioned traffic prediction device needs to report the corresponding driving parameters to the server, and the implementation structure of the corresponding traffic prediction server will be described with reference to the accompanying drawings.
The embodiment of the present invention further provides a traffic prediction server, and the specific implementation structure of the traffic prediction server is shown in fig. 3, and specifically includes the following processing units:
a running parameter receiving unit 31 for receiving vehicle running parameters of a running vehicle;
a road condition predicting unit 32, configured to analyze and predict road condition information of a current driving road section of the vehicle according to the vehicle driving parameters received by the driving parameter receiving unit 31;
a traffic information output unit 33, configured to output the traffic information predicted by the traffic prediction unit 32 to a traffic display terminal.
Further, the road condition prediction unit 32 may include:
the first road condition prediction subunit 321 is configured to, in a predetermined time period, determine, according to the vehicle driving parameter, that the number of vehicles whose vehicle driving speeds reach a first predetermined speed value in a current driving road section of the vehicle exceeds a first preset value, and then confirm that the current driving road section of the vehicle is smooth;
and/or the presence of a gas in the gas,
the second road condition prediction subunit 322 is configured to, in a predetermined time period, determine, according to the vehicle driving parameter, that the number of vehicles whose vehicle driving speed is lower than a second predetermined speed value in a current driving road section of the vehicle exceeds a second preset value, and then determine that the current driving road section of the vehicle is congested;
and/or the presence of a gas in the gas,
the third road condition prediction subunit 323 is configured to, within a predetermined time period, determine, according to the vehicle driving parameter, that the vehicle starting or braking frequency in the current driving road section of the vehicle reaches a predetermined value, and if the vehicle driving speed is lower than a third predetermined speed value, determine that the current driving road section of the vehicle is about to enter a congestion state;
and/or the presence of a gas in the gas,
a fourth road condition predicting sub-unit 324, configured to determine, according to the vehicle driving parameter, the number of vehicles about to enter each road segment, and predict road condition information of each road segment in a future predetermined time period according to the number of vehicles about to enter each road segment;
and/or the presence of a gas in the gas,
and a fifth road condition predicting subunit 325, configured to determine a road condition of the current driving road section of the vehicle according to the vehicle driving stability parameter in the vehicle driving parameters.
Specifically, the road condition display terminal may include, but is not limited to: the electronic map system comprises a vehicle-mounted electronic map device, a mobile terminal device with a navigation function or a fixed terminal device loaded with an electronic map. The road condition display terminal may be local to the server, or may be other electronic terminal devices, such as a mobile terminal device, remotely connected to the server (for example, connected through a wireless or wired network).
It should be noted that, the processing implementation adopted by each processing unit included in the foregoing apparatus and server in the specific implementation process is described in detail in the foregoing method embodiment, and therefore, the detailed description is not repeated here.
The road condition prediction device and the server provided by the embodiment of the invention can accurately predict and obtain the road condition information of each road section based on the driving parameters reported by the vehicles driving on the road, and provide the road condition information to the road condition display end for the drivers to check, so that the drivers can conveniently select the road sections which are smooth to drive to pass.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A road condition prediction method is characterized by comprising the following steps:
monitoring vehicle running parameters of a running vehicle, and reporting the vehicle running parameters to a server, wherein the vehicle running parameters comprise: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle;
receiving the road condition information of the current driving road section of the vehicle, which is analyzed and predicted by the server according to the vehicle driving parameters, wherein the step of analyzing and predicting the road condition information of the current driving road section of the vehicle comprises the following steps: in a preset time period, judging whether the vehicle starting or braking frequency in the current running road section of the vehicle reaches a preset value according to the vehicle running parameters, and if the vehicle running speed is lower than a third preset speed value, confirming that the current running road section of the vehicle is in a congestion coming state; judging the number of vehicles about to enter each road section according to the vehicle driving parameters, and predicting road condition information of each road section in a future preset time period according to the number of the vehicles;
and outputting and displaying the road condition information.
2. The method of claim 1, wherein analyzing the road condition information for the road segment predicted to be currently traveled by the vehicle comprises:
in a preset time period, judging that the number of vehicles with the vehicle running speed reaching a first preset speed value in the current running road section of the vehicle exceeds a first preset value according to the vehicle running parameters, and determining that the current running road section of the vehicle is smooth;
and in a preset time period, judging that the number of vehicles with the vehicle running speed lower than a second preset speed value in the current running road section of the vehicle exceeds a second preset value according to the vehicle running parameters, and determining that the current running road section of the vehicle is congested.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
monitoring vehicle running stability parameters of a running vehicle, and reporting to the server;
and the receiving server judges the road condition of the current running road section of the vehicle according to the running stability parameter of the vehicle and displays the road condition.
4. A road condition prediction device, comprising:
a running parameter monitoring unit for monitoring vehicle running parameters of a running vehicle, the vehicle running parameters including: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle;
the parameter reporting unit is used for reporting the vehicle running parameters obtained by monitoring of the running parameter monitoring unit to a server;
the receiving unit is used for receiving the road condition information of the current driving road section of the vehicle, which is obtained by analyzing and predicting the driving parameters of the vehicle reported by the parameter reporting unit by the server, and outputting and displaying the road condition information; the step of analyzing and predicting road condition information of a road section currently driven by the vehicle comprises the following steps: in a preset time period, judging whether the vehicle starting or braking frequency in the current running road section of the vehicle reaches a preset value according to the vehicle running parameters, and if the vehicle running speed is lower than a third preset speed value, confirming that the current running road section of the vehicle is in a congestion coming state; and judging the number of vehicles about to enter each road section according to the vehicle running parameters, and predicting road condition information of each road section in a future preset time period according to the number of the vehicles.
5. The apparatus of claim 4, further comprising:
and the stability parameter monitoring unit is used for monitoring the vehicle running stability parameter of the running vehicle, reporting the vehicle running stability parameter to the server through the parameter reporting unit, judging the road condition of the current running road section of the vehicle according to the vehicle running stability parameter by the server, and outputting and displaying the road condition.
6. A traffic prediction server, comprising:
a running parameter receiving unit configured to receive a vehicle running parameter of a running vehicle, the vehicle running parameter including: at least one of a speed, a starting speed, a braking frequency, or a starting frequency of the vehicle;
a traffic prediction unit, configured to analyze and predict traffic information of a current driving road section of the vehicle according to the vehicle driving parameters received by the driving parameter receiving unit, where the traffic prediction unit specifically includes:
the third road condition prediction subunit is used for judging whether the vehicle starting or braking frequency in the current running road section of the vehicle reaches a preset value according to the vehicle running parameters in a preset time period, and if the vehicle running speed is lower than a preset speed value, confirming that the current running road section of the vehicle is about to enter a congestion state;
the fourth road condition prediction subunit is used for judging the number of vehicles about to enter each road section according to the vehicle running parameters and predicting road condition information of each road section in a future preset time period according to the number of the vehicles;
and the road condition information output unit is used for outputting the road condition information predicted by the road condition prediction unit to a road condition display end.
7. The server according to claim 6, wherein the traffic prediction unit comprises:
the first road condition prediction subunit is used for judging whether the number of vehicles with the vehicle running speed reaching a preset value in the current running road section of the vehicle exceeds a first preset value according to the vehicle running parameters in a preset time period, and then confirming that the current running road section of the vehicle is smooth;
the second road condition prediction subunit is used for determining that the number of vehicles with the vehicle running speed lower than a preset value in the current running road section of the vehicle exceeds a second preset value according to the vehicle running parameters in a preset time period, and then determining that the current running road section of the vehicle is congested;
and the fifth road condition prediction subunit is used for judging the road condition of the current running road section of the vehicle according to the vehicle running stability parameter in the vehicle running parameters.
8. The server according to claim 6 or 7, wherein the road condition display terminal comprises: the electronic map system comprises a vehicle-mounted electronic map device, a mobile terminal device with a navigation function or a fixed terminal device loaded with an electronic map.
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