CN115100895A - High-precision map-based networking automobile communication optimization method - Google Patents
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- G—PHYSICS
- G08—SIGNALLING
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- 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
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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- 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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
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- 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
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Abstract
The invention discloses a high-precision map-based networking automobile communication optimization method, relates to the technical field of networking automobile communication optimization, and solves the technical problem that a front road jam cannot remind surrounding vehicles in time; according to the invention, the road condition of the detected road section is detected through the internet automobile and the high-precision map, and the road congestion condition is marked on the high-precision map by using colors, so that the congestion condition on the urban road can be visually seen, and the congestion condition is timely sent to the surrounding running vehicles, the surrounding running vehicles can timely change the route, the congested road section is bypassed, the running vehicles are prevented from entering the congested road section, the long-time waiting of a driver is avoided, and the pressure of road congestion is reduced.
Description
Technical Field
The invention belongs to the field of high-precision maps, relates to an internet automobile communication optimization technology, and particularly relates to an internet automobile communication optimization method based on a high-precision map.
Background
The high-precision map is a thematic map serving an automatic driving system, compared with a common navigation electronic map. The high-precision map is also called an automatic driving map and a high-resolution map, and is a new map data normal form for an automatic driving automobile. The absolute position accuracy of the high-precision map is close to 1m, and the relative position accuracy is in the centimeter level and can reach 10-20 cm. The method accurately and comprehensively represents road characteristics, requires higher real-time performance and is the most remarkable characteristic of a high-precision map. In addition, the high-precision map records specific details of driving behaviors, including typical driving behaviors, optimal acceleration points and braking points, road condition complexity, labels on signal receiving conditions of different road sections and the like.
Urban road traffic provides travel of people in work, life and cultural and recreational activities, and is responsible for the accessibility of passenger flow and logistics in various regions in cities and the connection and circulation of the cities to urban traffic. With the rapid development of social economy and the continuous improvement of the living standard of people, urban roads are wider and wider, but the holding capacity of motor vehicles and the population gathered in the city are more and more, the traffic travel demand is increased day by day, the road traffic is more and more blocked, and the road traffic jam not only brings much inconvenience to the daily life and work of people, but also restricts the increase of the economy, accelerates the deterioration of the urban environment and brings much trouble to people.
Therefore, a method for optimizing the communication of the networked automobile based on the high-precision map is provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a high-precision map-based networking automobile communication optimization method, which solves the problem that the congestion of the road ahead cannot prompt the surrounding vehicles in time.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a method for optimizing internet-connected vehicle communication based on a high-precision map, which includes the following steps:
the method comprises the following steps: the networked automobile sends the position information to the data processing module;
step two: the data processing module marks a detection road section on the high-precision map according to the received position information;
step three: acquiring road condition information on a detection road section, and acquiring a total number of vehicles label, a pedestrian number label and a road width label;
step four: acquiring different congestion reminding signals according to the total number of vehicles, the number of pedestrians and the road width label;
step five: the data processing module marks colors on the high-precision map according to different congestion reminding signals and sends the congestion reminding signals to the congestion reminding module;
step six: and the congestion reminding module sends congestion reminding to surrounding vehicles according to the received road congestion signals.
Preferably, the position information is acquired by a positioning device installed on the running vehicle, and the positioning device comprises a GPS positioning navigation device.
Preferably, the data processing module marks the detection road section on the high-precision map according to the received position information, and the specific process includes:
according to the received position information of the networked automobile, marking the position of the networked automobile on a high-precision map as an initial point, and marking a road section n meters ahead of the initial point and a road section m meters behind the initial point on the high-precision map as a detection road section; wherein n is an integer greater than 0, and m is an integer greater than 0.
Preferably, the traffic information includes the number of vehicles, the number of pedestrians, and the width of the road.
Preferably, the road condition information on the detection road section is acquired, the total number of vehicles label, the number of pedestrians label and the road width label are acquired, and the specific process comprises the following steps:
counting the number of vehicles, pedestrians and road width on the detected road section through a high-precision map,
obtaining a road congestion value according to the road condition information, wherein the specific process comprises the following steps:
the total number of vehicles is marked as S, the number of pedestrians is marked as R, the road width is marked as W, wherein S is an integer larger than 0, R is an integer not smaller than 0, and W is a rational number larger than 0;
obtaining a total number of vehicles label according to the total number of the vehicles, wherein the specific process comprises the following steps:
detecting that the maximum capacity of the vehicle on the road section is Smax;
s is less than or equal to Smax, the total number of the vehicles is labeled as 0, and the number of the vehicles on the road is less;
smax is greater than S and greater than Smax, and the total number of vehicles is labeled as 1, which indicates that the vehicles on the road are normal;
s is larger than or equal to Smax, the total number of vehicles is labeled as 2, and the condition that the vehicles on the road are jammed is shown;
obtain pedestrian quantity label according to pedestrian quantity, specific process includes:
substituting the pedestrian number R into a calculation formula to obtain the road pedestrian percentage, wherein the road pedestrian percentage is represented by Y;
the calculation formula is as follows:
y is less than or equal to 20 percent, the pedestrian number label is A, and the pedestrian number label indicates that the number of pedestrians on the road is less;
y is more than 20 percent, the pedestrian number label is a, and the pedestrian number label indicates that more pedestrians are on the road;
obtaining a road width label according to the road width, wherein the specific process comprises the following steps:
a road width difference value Dm is set,
d is larger than or equal to Dm, and the road width label is B, which indicates that the road is wide;
d < Dm, road width label b, indicates the road is narrower.
Preferably, different congestion reminding signals are obtained according to the total number of vehicles label, the number of pedestrians label and the road width label, and the specific process comprises the following steps:
the congestion reminding signal comprises a road passing signal, a road slow-moving signal and a road congestion signal;
when the total number of vehicles is 2, directly acquiring a road congestion signal;
when the total number of vehicles is 0, directly acquiring a road passing signal;
when the total number of vehicles is 1 and the number of pedestrians is a, directly acquiring a slow-moving signal of a road;
when the total number of vehicles is 1, the number of pedestrians is A, and the road width is B, acquiring a road passing signal;
and when the total number of vehicles is 1, the number of pedestrians is A, and the road width is b, acquiring a road slow-moving signal.
Preferably, the data processing module performs color marking on the high-precision map according to different congestion reminding signals, and the specific process includes:
a green road section on the high-precision map represents smooth traffic, a yellow road section represents slow traveling, and a red road section represents congestion;
receiving a road traffic signal by a high-precision map, and representing a detected road section in green;
receiving a road slow-moving signal by a high-precision map, and representing a detected road section by yellow;
the high-precision map receives the road congestion signal and represents the detected road section by red.
Preferably, the congestion reminding module sends congestion reminding to surrounding vehicles according to the received road congestion signal, and the specific process includes:
acquiring navigation information of surrounding vehicles, and marking the vehicles on the navigation road section including the detection road section as reminding vehicles;
the congestion reminding module receives the slow running signal and sends a congestion ahead signal to an intelligent terminal for reminding a driver of the vehicle, and the driver judges whether to continue running according to the original route or change the running route by himself or herself; the intelligent terminal comprises an intelligent mobile phone;
the traffic jam reminding module receives the traffic jam signal and sends a no-pass signal to the intelligent terminal for reminding the driver of the vehicle, and after the driver receives the no-pass reminding, the driver needs to change a running route and cannot drive into a traffic jam road section, so that the pressure for dredging the traffic jam road section is avoided being increased.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the road condition of the detected road section is detected through the internet automobile and the high-precision map, and the road congestion condition is marked on the high-precision map by using colors, so that the congestion condition on the urban road can be visually seen, and the congestion condition is timely sent to the surrounding running vehicles, the surrounding running vehicles can timely change the route and bypass the congested road section, the running vehicles are prevented from entering the congested road section to cause long-time waiting of a driver, and meanwhile, the pressure of road congestion is reduced.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for optimizing internet-connected vehicle communication based on a high-precision map specifically includes the following steps:
the method comprises the following steps: the networked automobile sends the position information to the data processing module;
step two: the data processing module marks a detection road section on the high-precision map according to the received position information;
step three: acquiring road condition information on a detection road section, and acquiring a total number of vehicles label, a pedestrian number label and a road width label;
step four: acquiring different congestion reminding signals according to the total number of vehicles, the number of pedestrians and the road width label;
step five: the data processing module marks colors on the high-precision map according to different congestion reminding signals and sends the congestion reminding signals to the congestion reminding module;
step six: and the congestion reminding module sends congestion reminding to surrounding vehicles according to the received road congestion signals.
By the steps, the road jam signal can be timely sent to the drivers of the surrounding vehicles, the surrounding running vehicles can timely change the route and bypass the jammed road section, the situation that the running vehicles enter the jammed road section to cause long-time waiting of the drivers is avoided, and meanwhile the pressure of road jam is reduced.
The position information is acquired by a positioning device installed on a running vehicle, and the positioning device comprises a GPS positioning navigation device.
The data processing module marks a detection road section on the high-precision map according to the received position information, and the specific process comprises the following steps:
according to the received position information of the networked automobile, marking the position of the networked automobile on a high-precision map as a starting point, and marking a road section n meters ahead of the starting point and a road section m meters behind the starting point on the high-precision map as a detection road section; wherein n is an integer greater than 0, and m is an integer greater than 0.
For example, the following steps are carried out:
the GPS positioning navigation device on the internet automobile sends the position of the internet automobile to the data processing module, the data processing module sets the position of the position corresponding to the high-precision map as a starting point, and 100m in front of the starting point and 100m behind the starting point are marked as detection road sections.
The road condition information includes the number of vehicles, the number of pedestrians, and the width of the road.
It is to be noted that in particular,
the significance of obtaining the number of the vehicles is that when the number of the vehicles on the road is more, the probability of congestion is higher, and the number of the vehicles on the road can intuitively reflect the phenomenon of road congestion;
the significance of acquiring the number of pedestrians is that the pedestrians on the road may have uncertain behaviors such as crossing the road and the like to cause road congestion, and therefore, the number of the pedestrians on the road is also one of the reasons for influencing the road congestion;
the significance of obtaining the road width is that the narrower the driving road is, the more serious the congestion will be developed.
The method comprises the following steps of acquiring road condition information on a detection road section, acquiring a total number of vehicles label, a pedestrian number label and a road width label, wherein the specific process comprises the following steps:
counting the number of vehicles, pedestrians and road width on a detection road section through a high-precision map, wherein the counted driving direction of the vehicles is consistent with the driving direction of the networked automobile;
acquiring a road congestion value according to road condition information, wherein the specific process comprises the following steps:
the total number of vehicles is marked as S, the number of pedestrians is marked as R, the road width is marked as W, wherein S is an integer larger than 0, R is an integer not smaller than 0, and W is a rational number larger than 0;
obtaining a total number of vehicles label according to the total number of the vehicles, wherein the specific process comprises the following steps:
detecting that the maximum capacity of the vehicle on the road section is Smax; it should be noted that the maximum capacity of the vehicle is set by a professional, and when the vehicle on the road reaches the maximum capacity, the road is defaulted to be congested and unable to pass;
obtain pedestrian quantity label according to pedestrian quantity, specific process includes:
substituting the pedestrian number R into a calculation formula to obtain the road pedestrian percentage, wherein the road pedestrian percentage is represented by Y;
the calculation formula is as follows:
y is less than or equal to 20 percent, the pedestrian number label is A, and the pedestrian number label indicates that the number of pedestrians on the road is less;
y is more than 20 percent, the pedestrian number label is a, and the pedestrian number label indicates that more pedestrians are on the road;
obtaining a road width label according to the road width, wherein the specific process comprises the following steps:
a road width difference value Dm is set,
d is larger than or equal to Dm, and the road width label is B, which indicates that the road is wide;
d < Dm, road width label b, indicates the road is narrower.
Obtaining different congestion reminding signals according to the total number of vehicles label, the number of pedestrians label and the road width label, wherein the specific process comprises the following steps:
the congestion reminding signal comprises a road passing signal, a road slow-moving signal and a road congestion signal;
when the total number of vehicles is 2, directly acquiring a road congestion signal;
when the total number of vehicles is 0, directly acquiring a road passing signal;
when the total number of vehicles is 1 and the number of pedestrians is a, directly acquiring a slow-moving signal of a road;
when the total number of vehicles is 1, the number of pedestrians is A, and the road width is B, acquiring a road passing signal;
and when the total number of vehicles is 1, the number of pedestrians is A, and the road width is b, acquiring a road slow-moving signal.
The data processing module marks colors on the high-precision map according to different congestion reminding signals, and the specific process comprises the following steps:
a green road section on the high-precision map represents smooth traffic, a yellow road section represents slow traveling, and a red road section represents congestion;
receiving a road traffic signal by a high-precision map, and representing a detected road section in green;
receiving a road slow-moving signal by a high-precision map, and representing a detected road section by yellow;
the high-precision map receives the road congestion signal and represents the detected road section by red.
The congestion reminding module sends congestion reminding to surrounding vehicles according to the received road congestion signals, and the specific process comprises the following steps:
acquiring navigation information of surrounding vehicles, and marking the vehicles on a navigation road section, including a detection road section, as reminding vehicles;
the congestion reminding module receives the slow running signal and sends a congestion ahead signal to an intelligent terminal for reminding a driver of the vehicle, and the driver judges whether to continue running according to the original route or change the running route by himself or herself; the intelligent terminal comprises an intelligent mobile phone;
the congestion reminding module receives the congestion signal and sends a no-pass signal to the intelligent terminal for reminding the driver of the vehicle, and after receiving the no-pass reminding, the driver needs to change a running route and cannot drive into a congested road section, so that the pressure for dredging the congested road section is avoided being increased.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A high-precision map-based online automobile communication optimization method is characterized by comprising the following steps:
the method comprises the following steps: the networked automobile sends the position information to the data processing module;
step two: the data processing module marks a detection road section on the high-precision map according to the received position information;
step three: acquiring road condition information on a detection road section, and acquiring a total number of vehicles label, a pedestrian number label and a road width label;
step four: acquiring different congestion reminding signals according to the total number of vehicles, the number of pedestrians and the road width label;
step five: the data processing module marks colors on the high-precision map according to different congestion reminding signals and sends the congestion reminding signals to the congestion reminding module;
step six: and the congestion reminding module sends congestion reminding to surrounding vehicles according to the received road congestion signals.
2. The method for optimizing the internet automobile communication based on the high-precision map as claimed in claim 1, wherein the position information is obtained by a positioning device installed on a running vehicle, and the positioning device comprises a GPS positioning navigation device.
3. The method for optimizing the internet automobile communication based on the high-precision map as claimed in claim 2, wherein the data processing module marks the detection road section on the high-precision map according to the received position information, and the specific process comprises:
according to the received position information of the networked automobile, marking the position of the networked automobile on a high-precision map as an initial point, and marking a road section n meters ahead of the initial point and a road section m meters behind the initial point on the high-precision map as a detection road section; wherein n is an integer greater than 0, and m is an integer greater than 0.
4. The method as claimed in claim 3, wherein the road condition information includes vehicle number, pedestrian number and road width.
5. The method for optimizing the internet automobile communication based on the high-precision map as claimed in claim 4, wherein the road condition information on the detected road section is obtained, and a total number of vehicles label, a number of pedestrians label and a road width label are obtained, and the specific process comprises the following steps:
counting the number of vehicles, pedestrians and road width on a detection road section through a high-precision map;
the total number of vehicles is marked as S, the number of pedestrians is marked as R, the road width is marked as W, wherein S is an integer larger than 0, R is an integer not smaller than 0, and W is a rational number larger than 0;
obtaining a total number of vehicles label according to the total number of the vehicles, wherein the specific process comprises the following steps:
detecting that the maximum capacity of the vehicle on the road section is Smax;
s is less than or equal to Smax, the total number of the vehicles is labeled as 0, and the number of the vehicles on the road is less;
smax is greater than S and greater than Smax, and the total number of vehicles is labeled as 1, which indicates that the vehicles on the road are normal;
s is larger than or equal to Smax, the total number of vehicles is labeled as 2, and the condition that the vehicles on the road are jammed is shown;
obtain pedestrian quantity label according to pedestrian quantity, specific process includes:
substituting the pedestrian number R into a calculation formula to obtain the road pedestrian percentage, wherein the road pedestrian percentage is represented by Y;
the calculation formula is as follows:
y is less than or equal to 20 percent, the pedestrian number label is A, and the pedestrian number label indicates that the number of pedestrians on the road is less;
y is more than 20 percent, the pedestrian number label is a, and the pedestrian number label indicates that more pedestrians are on the road;
obtaining a road width label according to the road width, wherein the specific process comprises the following steps:
a road width difference value Dm is set,
d is larger than or equal to Dm, and the road width label is B, which indicates that the road is wide;
d < Dm, road width label b, indicates the road is narrower.
6. The method for optimizing the internet automobile communication based on the high-precision map as claimed in claim 5, wherein different congestion reminding signals are obtained according to the total number of vehicles label, the number of pedestrians label and the road width label, and the specific process comprises the following steps:
the congestion reminding signal comprises a road passing signal, a road slow-moving signal and a road congestion signal;
when the total number of vehicles is 2, directly acquiring a road congestion signal;
when the total number of vehicles is 0, directly acquiring a road traffic signal;
when the total number of vehicles is 1 and the number of pedestrians is a, directly acquiring a slow-moving signal of a road;
when the total number of vehicles is 1, the number of pedestrians is A, and the road width is B, acquiring a road passing signal;
and when the total number of vehicles is 1, the number of pedestrians is A, and the road width is b, acquiring a road slow-moving signal.
7. The method for optimizing the internet automobile communication based on the high-precision map as claimed in claim 6, wherein the data processing module performs color marking on the high-precision map according to different congestion reminding signals, and the specific process comprises:
a green road section on the high-precision map represents smooth traffic, a yellow road section represents slow traveling, and a red road section represents congestion;
receiving a road traffic signal by a high-precision map, and representing a detected road section in green;
receiving a road slow-moving signal by a high-precision map, and representing a detected road section by yellow;
the high-precision map receives the road congestion signals, and the detected road sections are represented by red.
8. The method for optimizing the internet automobile communication based on the high-precision map as claimed in claim 7, wherein the congestion reminding module sends congestion reminding to surrounding vehicles according to the received road congestion signal, and the specific process comprises:
acquiring navigation information of surrounding vehicles, and marking the vehicles on the navigation road section including the detection road section as reminding vehicles;
the congestion reminding module receives the slow running signal and sends a congestion ahead signal to an intelligent terminal for reminding a driver of the vehicle, and the driver judges whether to continue running according to the original route or change the running route by himself or herself; the intelligent terminal comprises an intelligent mobile phone;
the traffic jam reminding module receives the traffic jam signal and sends a no-pass signal to the intelligent terminal for reminding the driver of the vehicle, and after the driver receives the no-pass reminding, the driver needs to change a running route and cannot drive into a traffic jam road section, so that the pressure for dredging the traffic jam road section is avoided being increased.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116596282A (en) * | 2023-07-17 | 2023-08-15 | 山东聚航物流发展有限公司 | Logistics vehicle traffic scheduling method and system based on Internet of things system |
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| CN104851311A (en) * | 2015-05-02 | 2015-08-19 | 石立公 | Real-time lane congestion display system and display method thereof |
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Application publication date: 20220923 |