CN116129639A - Curve vehicle speed prompting method and device - Google Patents
Curve vehicle speed prompting method and device Download PDFInfo
- Publication number
- CN116129639A CN116129639A CN202310014024.1A CN202310014024A CN116129639A CN 116129639 A CN116129639 A CN 116129639A CN 202310014024 A CN202310014024 A CN 202310014024A CN 116129639 A CN116129639 A CN 116129639A
- Authority
- CN
- China
- Prior art keywords
- curve
- information
- vehicle
- entered
- speed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/087—Override of traffic control, e.g. by signal transmitted by an emergency vehicle
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The application provides a curve vehicle speed prompting method and a curve vehicle speed prompting device, comprising the following steps: acquiring information of a curve to be entered; acquiring driving influence information; acquiring ideal curve speed information according to curve information to be entered and driving influence information; acquiring distance information of a current vehicle from an entrance of a curve to be entered; acquiring current vehicle speed information; judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, and if so, generating the deceleration prompt information. By the scheme, ideal curve speed information is obtained when the vehicle reaches the front and is ready to enter a curve, and the vehicle is reminded of paying attention to deceleration; the method comprises the steps of obtaining ideal curve speed information about each curve section of a curve to be entered before a vehicle arrives by carrying out segmentation processing on the continuous curve sections of the curve to be entered in front of the vehicle; and adjusting the distance from the front to-be-entered curve, and reminding the vehicle to decelerate in advance.
Description
Technical Field
The application belongs to the technical field of vehicle speed prompt, and particularly relates to a curve vehicle speed prompt method and a curve vehicle speed prompt device.
Background
In the existing vehicle speed prompting technology, few prompting products for complex road conditions, especially roads with continuous curves and slopes, are frequently found in mountain roads, and have unique requirements for vehicle speed prompting and warning products.
Microclimate phenomenon often occurs on mountain roads, and the mountain roads are changed with the change of the road sections; the mountain road needs to be built and maintained in sections, and cement road, gravel road, asphalt road and the like are mixed. It is difficult to achieve both driving efficiency and driving safety from the human sense alone.
Therefore, a technical scheme is needed to solve the problem that the vehicle lacks speed prompt under the complex mountain road condition.
Disclosure of Invention
An object of the present application is to provide a method and a device for prompting a vehicle speed in a curve, so as to solve at least one of the above problems.
In a first aspect of the present application, there is provided a curve vehicle speed prompting method, including:
acquiring information of a curve to be entered;
acquiring driving influence information;
acquiring ideal curve speed information according to curve information to be entered and driving influence information;
acquiring distance information of a current vehicle from an entrance of a curve to be entered;
acquiring current vehicle speed information;
judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, if so, judging whether to generate deceleration prompt information
And generating deceleration prompt information.
Further, the curve information to be entered includes: the information of road surface material types, curve curvature radius, road section weather state, continuous curve number and road section gradient of a road section is preset in front of the vehicle.
Further, the driving influence information includes: and acquiring influence factor information which influences the safe running of the vehicle on the road section of the curve to be entered according to the road surface material type, the curve curvature radius, the road section weather state, the number of continuous curves and the road section gradient in the road section information of the curve to be entered, wherein the influence factor information comprises influence factor information of friction coefficient influence factors, turning curvature influence factors, weather environment influence factors, curve continuous influence factors and ramp inclination angle influence factors.
Further, the obtaining the ideal curve vehicle speed information according to the curve information to be entered and the driving influence information includes:
acquiring the ideal curve speed information of a preset road section in front of a vehicle according to the curve information to be entered and driving influence information;
and generating the ideal curve speed information of the current road section of the vehicle at the next moment according to the ideal curve speed information of the preset road section in front of the vehicle at the current moment.
Further, the obtaining the ideal curve vehicle speed information includes: acquiring algorithm information of converting curve information to be entered into an influence factor information list and acquiring ideal curve speed according to the influence factor information;
the curve information to be entered is converted into an influence factor information list which comprises at least one piece of preset curve information to be entered and influence factor information which corresponds to each piece of preset curve information to be entered and influences the safe running of the vehicle;
acquiring influence factor information which is the same as the current information of the curve to be entered and corresponds to the preset information of the curve to be entered and influences the safe running of the vehicle;
the information of the curve to be entered is converted into an influence factor information list to obtain influence factor information which influences the ground grabbing capacity of the vehicle, and an algorithm for obtaining the ideal curve speed is used for converting the information of the road surface material type, the curve curvature radius, the road section weather state, the number of continuous curves and the road section gradient into a friction coefficient influence factor value r, a turning curvature influence factor value y, a weather environment influence factor value w, a curve continuous influence factor value n and a ramp inclination angle influence factor value p;
the algorithm information for obtaining the ideal curve vehicle speed includes,
where the ideal curve vehicle speed value is denoted v.
Further, the to-be-entered curve information comprises a road section with continuous curves and a road section gradient fluctuation;
dividing a road section of continuous curves with undulating road section gradient into a plurality of road sections including a single curved road section;
acquiring the ideal curve vehicle speed on the first curve road section in front of the vehicle includes,
wherein, the curve continuous influence factor value n is 1, which represents a curve section in front of the vehicle; p1 represents a value of a slope inclination influence factor on the first curve section;
acquiring the ideal curve vehicle speed on the second curve road section in front of the vehicle includes,
wherein, the curve continuous influence factor value n is 2, which represents two curve sections in front of the vehicle; p1 represents a ramp angle influence factor value on a first curve section, and p2 represents a ramp angle influence factor value on a second curve section;
acquiring the ideal curve vehicle speed on a third curve road section ahead of the vehicle includes,
wherein, the curve continuous influence factor value n is 3, which represents three curve sections in front of the vehicle; p1 represents a ramp angle influence factor value on a first curve section, and p2 represents a ramp angle influence factor value on a second curve section; p3 represents a value of a slope inclination angle influence factor on the third curve section;
similarly, the ideal curve speed on the nth curve section in front of the vehicle is obtained by analogy;
and acquiring the ideal curve speed information on each curve section in front of the vehicle according to the segmentation information of the curve to be entered into a plurality of sections comprising a single curve.
Further, the method comprises the steps of: judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information comprises the following steps:
acquiring gradient information between a vehicle and an inlet of the curve to be entered;
if the vehicle is an ascending ramp or a horizontal road between the vehicle and the entrance of the curve to be entered, and the current speed of the vehicle is smaller than or equal to the ideal curve speed of the current road section of the vehicle, no deceleration prompt information is generated;
and if the vehicle is ascending ramp between the vehicle and the entrance of the curve to be entered and the current speed of the vehicle is greater than the ideal curve speed of the current road section, generating deceleration prompt information.
Further, the method comprises the steps of: judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information further comprises:
if a downward slope is formed between the vehicle and the entrance of the curve to be entered, generating deceleration prompt information for decelerating in advance according to the distance information of the current vehicle from the entrance of the curve to be entered;
and if the distance between the current vehicle and the entrance of the curve to be entered is smaller than a preset deceleration distance threshold value, or/and the current speed of the vehicle is larger than or equal to the ideal curve speed of the curve to be entered, generating deceleration prompt information.
Further, the method comprises the steps of: the preset deceleration distance threshold value comprises:
acquiring a preset deceleration distance threshold according to the gradient information of the downhill road between the vehicle and the entrance of the curve to be entered;
if the gradient of the downhill slope increases, the preset deceleration distance threshold value increases.
In a second aspect of the present application, there is provided a curve vehicle speed prompting device, the curve vehicle speed prompting method device includes:
the curve information acquisition module to be entered is used for acquiring curve information to be entered;
the driving influence information acquisition module is used for acquiring driving influence information;
the ideal curve vehicle speed information acquisition module is used for acquiring ideal curve vehicle speed information according to the curve information to be entered and the driving influence information;
the distance information acquisition module is used for acquiring the distance information of the current vehicle from the entrance of the curve to be entered;
the current vehicle speed information acquisition module is used for acquiring current vehicle speed information;
and the deceleration prompt information generation module is used for judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, and if so, generating the deceleration prompt information.
The application has at least the following beneficial technical effects:
according to the method and the device, the information about whether the current speed of the vehicle exceeds the ideal curve speed is obtained through analysis of the road condition information to be entered into the curve in front of the vehicle, so that the vehicle can be reminded of paying attention to deceleration.
According to the method and the device, the continuous turning sections of the curve to be entered in front of the vehicle are subjected to segmentation processing, so that ideal curve speed information about each turning section of the curve to be entered in front of the vehicle is obtained, and the processing of the ideal curve speed information can be refined.
According to the method, the distance between the vehicle adjustment and the front curve to be pulled away is adjusted, and the vehicle is reminded of slowing down in advance on a downhill road.
Drawings
Fig. 1 is a schematic flow chart of a curve vehicle speed prompting method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a curve vehicle speed prompting device according to an embodiment of the present application.
Fig. 3 is an exemplary structural diagram of an electronic device capable of implementing the curve vehicle speed prompting method provided according to an embodiment of the present application.
Detailed Description
In order to make the purposes, technical solutions and advantages of the implementation of the present application more clear, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, of the embodiments of the present application. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application. Embodiments of the present application are described in detail below with reference to the accompanying drawings.
It should be noted that in the description of the present invention, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Fig. 1 is a schematic flow chart of a curve vehicle speed prompting method according to an embodiment of the present application.
The curve vehicle speed prompting method as shown in fig. 1 includes:
s1, obtaining information of a curve to be entered;
s2, acquiring driving influence information;
s3, acquiring ideal curve speed information according to the curve information to be entered and the driving influence information;
s4, obtaining distance information of the current vehicle from an entrance of a curve to be entered;
s5, acquiring current vehicle speed information;
and S6, judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, and if so, generating the deceleration prompt information.
According to the method and the device, the information about whether the current speed of the vehicle exceeds the ideal curve speed is obtained through analysis of the road condition information to be entered into the curve in front of the vehicle, so that the vehicle can be reminded of paying attention to deceleration.
According to the method and the device, the continuous turning sections of the curve to be entered in front of the vehicle are subjected to segmentation processing, so that ideal curve speed information about each turning section of the curve to be entered in front of the vehicle is obtained, and the processing of the ideal curve speed information can be refined.
According to the method, the distance between the vehicle adjustment and the front curve to be pulled away is adjusted, and the vehicle is reminded of slowing down in advance on a downhill road.
In this embodiment, the curve information to be entered includes: the information of road surface material types, curve curvature radius, road section weather state, continuous curve number and road section gradient of a road section is preset in front of the vehicle.
Specifically, traveling on rough mountains requires great attention to the vehicle traveling speed because the vehicle condition and the road condition have a large influence on the grip ability of the vehicle.
On the premise that the condition of the vehicle itself cannot be changed at will, the vehicle speed needs to be limited by paying attention to the road condition.
Generally, the information of the vehicle itself is known (such as the weight of the vehicle, the type of the tire, etc.) but the road condition information in front of the vehicle is often unknown, and as the vehicle travels, the road condition information in front of the vehicle is continuously changed, resulting in a change in the grip capability of the vehicle.
On the premise that the safety of the vehicle is ensured when the vehicle runs, the efficiency is improved, so that the ideal curve speed is required to be predicted according to the road condition information in front of the vehicle.
Besides the change of curves on mountain roads and the fluctuation of gradients, the road condition information has influence on the ground grabbing capacity of the vehicle. For example, the mountain road paving engineering is different from the paving engineering of the plain road section, asphalt, cement, gravel and the like can be selected according to the construction difficulty and paving environment of the road section, and the vehicle ground grabbing capability is different on different road surface materials;
for another example, mountain areas often have features that block sunlight and influence wind direction, so that microclimate phenomena can also be accompanied on rugged mountain roads, and particularly in severe weather, the ground grabbing force of vehicles on each road section is more obviously influenced by the climate.
Based on the influence of the road environment of the rough mountain road on the grip of the vehicle, the information of the road surface material types, the curvature radius of the curve, the weather state of the road section, the number of continuous curves and the gradient of the road section is selected as the input information for acquiring the ideal curve speed of the vehicle to enter the curve in front of the vehicle.
Besides the road environment information of the front part of the vehicle to enter the curve is obtained through the environment sensing equipment of the vehicle, the road environment information of the front part of the vehicle to enter the curve can be obtained through cloud service information corresponding to the position of the vehicle, such as weather service information, map service information, traffic dynamic service information and the like.
In this embodiment, the driving impact information includes: and acquiring influence factor information of influence factors of safety running of the vehicle on the road section of the curve to be entered according to the road surface material type, curve curvature radius, road section weather condition, continuous curve number and road section gradient in the road section information to be entered, wherein the influence factor information comprises influence factor information of friction coefficient, curve curvature influence factor, weather environment influence factor, curve continuous influence factor and slope inclination angle influence factor.
Specifically, the driving influence information may be from the dead weight, load, tire gripping performance, braking performance, etc. of the vehicle, but the performance of the vehicle itself is relatively fixed and does not change during driving, so the driving influence information is mainly from the information of the road material type, curve curvature radius, road section weather condition, continuous curve number, road section gradient in the curve information to be entered.
Although the road material type, the curve curvature radius, the road weather state, the number of continuous curves and the road gradient in the curve information to be entered all affect the vehicle gripping capacity, the manner and effect of the effect are different, and the information of a single road material type, curve curvature radius, road weather state, the number of continuous curves and road gradient is not acted as an influence factor to jointly affect the vehicle gripping capacity, so that the road material type, curve curvature radius, road weather state, the number of continuous curves and road gradient need to be converted into an influence factor value in a certain algorithm to calculate the ideal curve speed.
For example, in an algorithm, as the vehicle travels, the road gradient and the road material change continuously, but the road gradient and the road material only affect the vehicle gripping capacity on a local road, so the road gradient and the road material type are converted into the influence coefficients for obtaining the ideal curve speed; for another example, the weather conditions affect the vehicle grip capability relatively overall, and thus the road segment weather conditions are converted into weight values that calculate the ideal curve vehicle speed.
In this embodiment, obtaining ideal curve vehicle speed information according to curve information to be entered and driving influence information includes:
acquiring ideal curve speed information of a preset road section in front of a vehicle according to the curve information to be entered and the driving influence information;
and generating the ideal curve speed information of the current road section of the vehicle at the next moment according to the ideal curve speed information of the preset road section in front of the vehicle at the current moment.
Specifically, the curve to be entered is not a section where only one curve is fixed in front of the vehicle, and may be a section of one curve, a section of a plurality of curves in succession, or a section of a curve outside a certain distance in front of the vehicle.
The preset road section in front of the vehicle finally arrives at the current position of the vehicle along with the traveling process of the vehicle, the ideal curve speed corresponds to each road section, and when the vehicle arrives at the road section corresponding to the ideal curve speed, the current speed of the vehicle is controlled below the ideal curve speed.
The speed of the vehicle at the current position can be limited by using the ideal curve speed of the preset road section in front of the vehicle, for example, the vehicle is difficult to decelerate when the vehicle runs down a slope, and a deceleration prompt is sent in advance, so that the driving safety is easier to ensure.
In the present embodiment, acquiring ideal curve vehicle speed information includes: acquiring algorithm information of converting curve information to be entered into an influence factor information list and acquiring ideal curve speed according to the influence factor information;
the curve information to be entered is converted into an influence factor information list which comprises at least one piece of preset curve information to be entered and influence factor information which corresponds to each piece of preset curve information to be entered and influences the ground grabbing capacity of the vehicle;
acquiring information of a factor which is the same as the current information of the curve to be entered and corresponds to the preset information of the curve to be entered and affects the safe driving of the vehicle;
the method comprises the steps of converting information of a curve to be entered into a curve information list to obtain influence factor information for influencing safe running of a vehicle, and an algorithm for obtaining ideal curve speed, wherein the algorithm comprises the steps of converting information of road surface material types, curve curvature radius, road section weather conditions, continuous curve number and road section gradient into friction coefficient influence factor values r, turning curvature influence factor values y, weather environment influence factor values w, curve continuous influence factor values n and ramp inclination angle influence factor values p;
the algorithm information for obtaining the ideal curve vehicle speed includes,
where the ideal curve vehicle speed value is denoted v.
Specifically, in this embodiment, information of the road surface material type, curve curvature radius, road section weather condition, the number of continuous curves, road section gradient is converted into an influence factor value suitable for the algorithm as input information for obtaining the ideal curve vehicle speed.
For example, weather conditions of the vehicle are obtained based on cloud service, and the precipitation, snowfall, haze and frost are set to different levels, so that the weight levels affecting the ground grabbing capacity of the vehicle are also set to different levels, and are denoted by w.
For example, in the friction coefficient influence factor value r, the r value of the soil path is 0.7, the r value of the cement path is 0.8, and the r value of the asphalt path is 0.9. Different road materials affect the grip of the tire, such as a road surface with poorer friction, and the speed of the tire when passing through a curve should be lower; if the road material is known, the road material is brought into the curve speed model according to the known r value, and if the road material cannot be obtained, the road impact coefficients can be uniformly processed according to 0.8.
For example, in the turning curvature influence factor value y, the larger the curvature, the shorter the radius, i.e., the lower the ideal curve vehicle speed for passing through the curve.
For example, in the curve continuous influence factor value n, the more the number of curves is, the slower the running vehicle speed is; by calculating the ideal curve speed of each curve, the minimum ideal curve speed can be considered for prompting, and the ideal curve speed on a specific arrived road section can also be used for prompting.
For example, the slope angle influence factor p is set to 1 > p > 0 from 0 to 10 degrees, 10 to 30 degrees, and 30 degrees or more, and if no slope is present, it is set to 1, and if it exceeds 30 degrees, it is set to 0, indicating that running is impossible.
In this example, the curve information to be entered includes a road section of continuous curves and road section gradient fluctuation;
dividing a road section of continuous curves with undulating road section gradient into a plurality of road sections including a single curved road section;
acquiring the ideal curve vehicle speed on the first curve road section in front of the vehicle includes,
wherein, the curve continuous influence factor value n is 1, which represents a curve section in front of the vehicle; p1 represents a value of a slope inclination influence factor on the first curve section;
acquiring the ideal curve speed on the second curve section ahead of the vehicle includes,
wherein, the curve continuous influence factor value n is 2, which represents two curve sections in front of the vehicle; p1 represents a ramp angle influence factor value on a first curve section, and p2 represents a ramp angle influence factor value on a second curve section;
acquiring the ideal curve speed on the third curve section ahead of the vehicle includes,
wherein, the curve continuous influence factor value n is 3, which represents three curve sections in front of the vehicle; p1 represents a ramp angle influence factor value on a first curve section, and p2 represents a ramp angle influence factor value on a second curve section; p3 represents a value of a slope inclination angle influence factor on the third curve section;
similarly, the ideal curve speed on the nth curve road in front of the vehicle is obtained by analogy;
and acquiring ideal curve speed information on each curve section in front of the vehicle according to the segmentation information of the curve to be entered into a plurality of sections comprising a single curve.
In particular, when the curve section facing the front is too complex, it can be divided into relatively simple sections to be calculated separately.
For example, the first curve section may be calculated to obtain the ideal curve speed on the first curve section, and the second curve section may be calculated to obtain the ideal curve speed on the second curve section by taking the two successive curves and the two gradient changes into consideration. And by analogy, the ideal curve speed on the third, fourth and other turning road sections is obtained.
Along with the increase of the curve, the ideal curve speed gradually decreases, so that the operation rationality of step-by-step deceleration is met, and the relation of the previous curve section to the next curve section is not simply split.
As can be seen from the algorithm, the more the same continuous curve road sections are divided, the more the calculated ideal curve vehicle speed is obviously reduced.
The density of the continuous curve segment division can be appropriately adjusted according to the performance and the state of the vehicle itself. For example, the dead weight of the vehicle is large, the vehicle is sensitive to continuous turning, the number of the segments of the continuous curve road sections is increased, the trend of reducing the speed of an ideal curve is increased, and the degree of urgency for prompting that the running speed of the vehicle exceeds the speed of the ideal curve is increased.
In this example, it includes: judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information comprises the following steps:
acquiring gradient information between a vehicle and an entrance of a curve to be entered;
if the vehicle is ascending ramp between the vehicle and the entrance of the curve to be entered, and the current speed of the vehicle is smaller than or equal to the ideal curve speed of the current road section of the vehicle, no deceleration prompt information is generated;
if the distance between the vehicle and the entrance of the curve to be entered is an ascending slope, and the current speed of the vehicle is greater than the ideal curve speed of the current road section, deceleration prompt information is generated.
In particular, the distance of the vehicle from the entrance of the curve to be entered is a buffering measure, which, in addition to requiring time for data acquisition, transmission and processing, also takes into account whether the current road conditions are conducive to deceleration and whether redundancy of deceleration operations is provided.
Generally, on an uphill road, the speed of the vehicle is relatively easy because the speed of the vehicle is relatively insensitive to the redundancy of the speed reducing operation, so that the speed of the vehicle does not exceed the ideal curve speed of the current road section position, the speed reducing prompt can be made only when the current speed of the vehicle exceeds the ideal curve speed of the current road section position.
In this example, it includes: judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information further comprises:
if the vehicle is in a downhill path with the entrance of the curve to be entered, generating deceleration prompt information for decelerating in advance according to the distance information of the current vehicle from the entrance of the curve to be entered;
and if the distance between the current vehicle and the entrance of the curve to be entered is smaller than a preset deceleration distance threshold value, or/and the current speed of the vehicle is larger than or equal to the ideal curve speed of the curve to be entered, generating deceleration prompt information.
In particular, in a downhill section, deceleration is difficult, and thus is sensitive to redundancy in providing deceleration operations, and it is necessary to make deceleration prompts in advance, and it is not possible to use the ideal curve speed at the current position of the vehicle as a basis for deceleration prompts only.
The ideal curve speed to be entered into the curve road section beyond the preset deceleration distance threshold in front of the vehicle is used as the basis of the speed deceleration prompt at the current position, so that the deceleration prompt is ensured to have an advance.
The greater the redundancy, the greater the distance of the current vehicle from the entrance to the curve to be entered exceeds a preset deceleration distance threshold, the greater the deceleration distance, the more advantageous the deceleration.
It is of course not preferable that the greater the redundancy, as long as it is ensured that the distance of the current vehicle from the entrance to be entered into the curve is greater than the preset deceleration distance threshold.
In this example, it includes: the preset deceleration distance threshold comprises the following steps:
acquiring a preset deceleration distance threshold according to the gradient information of a downhill road between the vehicle and an entrance of a curve to be entered;
if the gradient of the downhill slope increases, the preset deceleration distance threshold value increases.
In particular, the preset deceleration distance threshold is related to the gradient of the downhill road, the greater the gradient, the more difficult the deceleration, and the greater the preset deceleration distance threshold, and consequently the greater the distance reservation of the vehicle from the entrance to the curve.
In addition, the preset deceleration distance threshold is related to the vehicle dead weight and the performance of the vehicle ground grabbing capability.
Fig. 2 is a schematic structural diagram of a curve vehicle speed prompting device according to an embodiment of the present application.
The curve vehicle speed prompting device shown in fig. 2 includes: the system comprises a curve information acquisition module, a driving influence information acquisition module, an ideal curve speed information acquisition module, a distance information acquisition module, a current speed information acquisition module and a deceleration prompt information generation module;
the curve information acquisition module to be entered is used for acquiring curve information to be entered;
the driving influence information acquisition module is used for acquiring driving influence information;
the ideal curve vehicle speed information acquisition module is used for acquiring ideal curve vehicle speed information according to the curve information to be entered and the driving influence information;
the distance information acquisition module is used for acquiring the distance information of the current vehicle from the entrance of the curve to be entered;
the current vehicle speed information acquisition module is used for acquiring current vehicle speed information;
the deceleration prompt information generation module is used for judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, and if so, generating the deceleration prompt information.
It should be noted that, although the system only discloses a curve information acquisition module to be entered, a driving impact information acquisition module, an ideal curve speed information acquisition module, a distance information acquisition module, a current speed information acquisition module, and a deceleration prompt information generation module, the present system is not limited to the above basic function module, and on the contrary, the present invention is to be expressed in that, on the basis of the above basic function module, one or more function modules can be added arbitrarily by a person skilled in the art to form an infinite number of embodiments or technical solutions, that is, the system is open rather than closed, and the protection scope of the present invention is not limited to the above disclosed basic function module because the present embodiment only discloses individual basic function modules.
Fig. 3 is an exemplary structural diagram of an electronic device capable of implementing the curve vehicle speed prompting method provided according to an embodiment of the present application.
An electronic device as shown in fig. 3, comprising: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory stores a computer program which, when executed by the processor, causes the processor to perform the steps of the curve vehicle speed prompting method.
The present application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which when run on the electronic device causes the electronic device to perform the steps of a curve vehicle speed prompting method.
The application also provides a vehicle of the curve vehicle speed prompting method, which specifically comprises the following steps:
the electronic equipment is used for realizing the step of the curve vehicle speed prompting method;
a processor that runs a program, and executes a curve vehicle speed prompting method from data output from the electronic device when the program runs;
a storage medium storing a program that, when executed, performs the steps of the curve vehicle speed prompting method on data output from the electronic device.
The communication bus mentioned above for the electronic devices may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The electronic device includes a hardware layer, an operating system layer running on top of the hardware layer, and an application layer running on top of the operating system. The hardware layer includes hardware such as a central processing unit (CPU, central Processing Unit), a memory management unit (MMU, memory Management Unit), and a memory. The operating system may be any one or more computer operating systems that implement electronic device control via processes (processes), such as a Linux operating system, a Unix operating system, an Android operating system, an iOS operating system, or a windows operating system, etc. In addition, in the embodiment of the present invention, the electronic device may be a handheld device such as a smart phone, a tablet computer, or an electronic device such as a desktop computer, a portable computer, which is not particularly limited in the embodiment of the present invention.
The execution body controlled by the electronic device in the embodiment of the invention can be the electronic device or a functional module in the electronic device, which can call a program and execute the program. The electronic device may obtain firmware corresponding to the storage medium, where the firmware corresponding to the storage medium is provided by the vendor, and the firmware corresponding to different storage media may be the same or different, which is not limited herein. After the electronic device obtains the firmware corresponding to the storage medium, the firmware corresponding to the storage medium can be written into the storage medium, specifically, the firmware corresponding to the storage medium is burned into the storage medium. The process of burning the firmware into the storage medium may be implemented by using the prior art, and will not be described in detail in the embodiment of the present invention.
The electronic device may further obtain a reset command corresponding to the storage medium, where the reset command corresponding to the storage medium is provided by the provider, and the reset commands corresponding to different storage media may be the same or different, which is not limited herein.
At this time, the storage medium of the electronic device is a storage medium in which the corresponding firmware is written, and the electronic device may respond to a reset command corresponding to the storage medium in which the corresponding firmware is written, so that the electronic device resets the storage medium in which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command may be implemented in the prior art, and will not be described in detail in the embodiments of the present invention.
For convenience of description, the above devices are described as being functionally divided into various units and modules. Of course, the functions of each unit, module, etc. may be implemented in one or more pieces of software and/or hardware when implementing the present application.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
For the purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated by one of ordinary skill in the art that the methodologies are not limited by the order of acts, as some acts may, in accordance with the methodologies, take place in other order or concurrently. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server or a network device, etc.) to perform the methods described in the embodiments or some parts of the embodiments of the present application.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. The method for prompting the speed of the curve is characterized by comprising the following steps of:
acquiring information of a curve to be entered;
acquiring driving influence information;
acquiring ideal curve speed information according to curve information to be entered and driving influence information;
acquiring distance information of a current vehicle from an entrance of a curve to be entered;
acquiring current vehicle speed information;
judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, if so, judging whether to generate deceleration prompt information
And generating deceleration prompt information.
2. The curve vehicle speed prompting method according to claim 1, wherein the curve information to be entered includes: the information of road surface material types, curve curvature radius, road section weather state, continuous curve number and road section gradient of a road section is preset in front of the vehicle.
3. The curve vehicle speed prompting method according to claim 2, wherein the driving influence information includes: and acquiring influence factor information which influences the safe running of the vehicle on the road section of the curve to be entered according to the road material type, the curve curvature radius, the road section weather state, the number of continuous curves and the road section gradient in the road section information to be entered, wherein the influence factor information comprises influence factor information of friction coefficient influence factors, turning curvature influence factors, weather environment influence factors, curve continuous influence factors and ramp inclination angle influence factors.
4. The method for prompting a vehicle speed at a curve according to claim 3, wherein said obtaining ideal curve vehicle speed information according to the curve information to be entered and the driving influence information comprises:
acquiring the ideal curve speed information of a preset road section in front of a vehicle according to the curve information to be entered and driving influence information;
and generating the ideal curve speed information of the current road section of the vehicle at the next moment according to the ideal curve speed information of the preset road section in front of the vehicle at the current moment.
5. The curve vehicle speed prompting method according to claim 4, wherein the acquiring ideal curve vehicle speed information includes: acquiring algorithm information of converting curve information to be entered into an influence factor information list and acquiring ideal curve speed according to the influence factor information;
the curve information to be entered is converted into an influence factor information list which comprises at least one piece of preset curve information to be entered and influence factor information which corresponds to each piece of preset curve information to be entered and influences the safe running of the vehicle;
acquiring influence factor information which is the same as the current information of the curve to be entered and corresponds to the preset information of the curve to be entered and influences the safe running of the vehicle;
the method comprises the steps of converting the information of the curve to be entered into an influence factor information list to obtain influence factor information influencing the ground grabbing capability of a vehicle, and an algorithm for obtaining the ideal curve speed, wherein the algorithm comprises the steps of converting the information of the road surface material type, the curve curvature radius, the road section weather state, the number of continuous curves and the road section gradient into a friction coefficient influence factor value r, a turning curvature influence factor value y, a weather environment influence factor value w, a curve continuous influence factor value n and a ramp inclination angle influence factor value p;
the algorithm information for obtaining the ideal curve vehicle speed includes,
wherein the ideal curve vehicle speed value is denoted as v.
6. The method according to claim 5, wherein the curve to be entered information includes a road section of a continuous curve with a road section gradient fluctuating;
dividing a road section of continuous curves with undulating road section gradient into a plurality of road sections including a single curved road section;
acquiring the ideal curve vehicle speed on the first curve road section in front of the vehicle includes,
wherein, the curve continuous influence factor value n is 1, which represents a curve section in front of the vehicle; p1 represents a value of a slope inclination influence factor on the first curve section;
acquiring the ideal curve vehicle speed on the second curve road section in front of the vehicle includes,
wherein, the curve continuous influence factor value n is 2, which represents two curve sections in front of the vehicle; p1 represents a ramp angle influence factor value on a first curve section, and p2 represents a ramp angle influence factor value on a second curve section;
acquiring the ideal curve vehicle speed on a third curve road section ahead of the vehicle includes,
wherein, the curve continuous influence factor value n is 3, which represents three curve sections in front of the vehicle; p1 represents a ramp angle influence factor value on a first curve section, and p2 represents a ramp angle influence factor value on a second curve section; p3 represents a value of a slope inclination angle influence factor on the third curve section;
similarly, the ideal curve speed on the nth curve section in front of the vehicle is obtained by analogy;
and acquiring the ideal curve speed information on each curve section in front of the vehicle according to the segmentation information of the curve to be entered into a plurality of sections comprising a single curve.
7. The curve vehicle speed prompting method according to claim 6, characterized by comprising: judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information comprises the following steps:
acquiring gradient information between a vehicle and an inlet of the curve to be entered;
if the vehicle is ascending ramp between the vehicle and the entrance of the curve to be entered, and the current speed of the vehicle is smaller than or equal to the ideal curve speed of the current road section of the vehicle, no deceleration prompt information is generated;
and if the vehicle is ascending ramp between the vehicle and the entrance of the curve to be entered and the current speed of the vehicle is greater than the ideal curve speed of the current road section, generating deceleration prompt information.
8. The curve vehicle speed prompting method according to claim 7, characterized by comprising: judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information further comprises:
if a downward slope is formed between the vehicle and the entrance of the curve to be entered, generating deceleration prompt information for decelerating in advance according to the distance information of the current vehicle from the entrance of the curve to be entered;
and if the distance between the current vehicle and the entrance of the curve to be entered is smaller than a preset deceleration distance threshold value, or/and the current speed of the vehicle is larger than or equal to the ideal curve speed of the curve to be entered, generating deceleration prompt information.
9. The curve vehicle speed prompting method according to claim 8, characterized by comprising: the preset deceleration distance threshold value comprises:
acquiring a preset deceleration distance threshold according to the gradient information of the downhill road between the vehicle and the entrance of the curve to be entered;
if the gradient of the downhill slope increases, the preset deceleration distance threshold value increases.
10. The curve vehicle speed prompting device is characterized in that the curve vehicle speed prompting method device comprises the following steps:
the curve information acquisition module to be entered is used for acquiring curve information to be entered;
the driving influence information acquisition module is used for acquiring driving influence information;
the ideal curve vehicle speed information acquisition module is used for acquiring ideal curve vehicle speed information according to the curve information to be entered and the driving influence information;
the distance information acquisition module is used for acquiring the distance information of the current vehicle from the entrance of the curve to be entered;
the current vehicle speed information acquisition module is used for acquiring current vehicle speed information;
and the deceleration prompt information generation module is used for judging whether to generate deceleration prompt information according to the current vehicle speed information, the distance information of the current vehicle from the entrance of the curve to be entered and the ideal curve vehicle speed information, and if so, generating the deceleration prompt information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310014024.1A CN116129639A (en) | 2023-01-05 | 2023-01-05 | Curve vehicle speed prompting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310014024.1A CN116129639A (en) | 2023-01-05 | 2023-01-05 | Curve vehicle speed prompting method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116129639A true CN116129639A (en) | 2023-05-16 |
Family
ID=86307511
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310014024.1A Pending CN116129639A (en) | 2023-01-05 | 2023-01-05 | Curve vehicle speed prompting method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116129639A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117523805A (en) * | 2023-12-14 | 2024-02-06 | 湖北车安达信息科技有限公司 | Vehicle transportation safety risk early warning method, device, equipment and medium |
-
2023
- 2023-01-05 CN CN202310014024.1A patent/CN116129639A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117523805A (en) * | 2023-12-14 | 2024-02-06 | 湖北车安达信息科技有限公司 | Vehicle transportation safety risk early warning method, device, equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2599072B1 (en) | Traffic control system, vehicle control system, traffic regulation system, and traffic control method | |
| Wang et al. | Predicting crashes on expressway ramps with real-time traffic and weather data | |
| Helbing et al. | Modeling and simulation of multilane traffic flow | |
| CN116129639A (en) | Curve vehicle speed prompting method and device | |
| CN109389845B (en) | Multi-factor integrated dynamic speed control system for expressway | |
| Ma et al. | Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups | |
| CN116957345B (en) | Data processing method for unmanned system | |
| CN104762901A (en) | Lift type isolation pile merging control system for city expressway | |
| CN111038504B (en) | Vehicle adaptive cruise control method, device, vehicle and storage medium | |
| KR102130669B1 (en) | Response system and method to secure running vehicles on a bridge against strong wind | |
| JP7071316B2 (en) | Information processing equipment for vehicles | |
| CN102800193A (en) | Multi-vehicle-considered stable OVDM (Optimal velocity difference model) traffic flow car-following model modeling method | |
| Qu et al. | Design of vehicle–road cooperative assistant decision system for active safety at intersections | |
| CN117894178A (en) | Intelligent cloud supervision system based on intelligent high speed | |
| CN111784873A (en) | Machine learning principle-based expressway safety vehicle-mounted intelligent system and working process | |
| Yulong et al. | Study on intelligent lane merge control system for freeway work zones | |
| Yishui et al. | Research of highway bottlenecks based on catastrophe theory | |
| CN113313939A (en) | Single lane cellular automata model simulation method considering acceleration continuity | |
| CN102800194A (en) | Ramp-factor-considered stable FVDM (Full velocity difference model) traffic flow car-following model modeling method | |
| CN111216722A (en) | Vehicle driving control method, device, equipment and storage medium | |
| CN117671962B (en) | Method and device for analyzing vehicle out-of-control state aiming at long longitudinal slope section of expressway | |
| CN116386365B (en) | Traffic path induction method and system for improving harbor road safety | |
| CN116824864B (en) | Government affair data processing system capable of flexibly configuring visual access | |
| CN102938205B (en) | On-line traffic bottleneck predictive control method based on field programmable gate array (FPGA) and improved Xue-Dai model | |
| CN102938207B (en) | On-line traffic bottleneck predictive control method based on field programmable gate array (FPGA) and improved light water reactor (LWR) model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |