CN114005284A - Intelligent automobile early warning system based on rainfall real-time monitoring - Google Patents

Intelligent automobile early warning system based on rainfall real-time monitoring Download PDF

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Publication number
CN114005284A
CN114005284A CN202111284556.4A CN202111284556A CN114005284A CN 114005284 A CN114005284 A CN 114005284A CN 202111284556 A CN202111284556 A CN 202111284556A CN 114005284 A CN114005284 A CN 114005284A
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rainfall
vehicle
accident
information
risk
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向往
张永贺
彭莉莉
杨洪明
彭飞
薛晴婉
吴珂琪
龙科军
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Changsha University of Science and Technology
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/14—Rainfall or precipitation gauges
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/40—Arrangements in telecontrol or telemetry systems using a wireless architecture
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Engineering & Computer Science (AREA)
  • Atmospheric Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Hydrology & Water Resources (AREA)
  • Biodiversity & Conservation Biology (AREA)
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  • Chemical & Material Sciences (AREA)
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Abstract

The invention provides an automobile intelligent early warning system and method based on rainfall real-time monitoring, wherein the system comprises the following steps: the rainfall real-time monitoring controller is used for acquiring rainfall information of an area where a road section is located and transmitting the rainfall information to the vehicle-mounted controller; the vehicle-mounted controller is used for acquiring vehicle position information, receiving the collected information transmitted by the rainfall real-time monitoring controller, accessing a local historical accident database and processing the information; and the voice prompter is used for carrying out voice prompt on the driver. The rainfall real-time monitoring controller transmits rainfall information to the vehicle-mounted controller, the vehicle-mounted controller is connected to a local historical accident database, an early warning decision module is used for calculating an accident risk value under the current condition, and processed information is transmitted to a driver in a voice prompt mode, so that the driver can know the driving environment, the comprehensive judgment capability and the driving alertness of the driver on the outside are improved, the traffic driving safety is guaranteed, and the traffic accident rate is reduced.

Description

Intelligent automobile early warning system based on rainfall real-time monitoring
Technical Field
The invention belongs to the field of traffic safety control, relates to the field of traffic safety control of a road for drivers under a driving environment condition in rainy days, and particularly relates to an intelligent automobile early warning system based on rainfall real-time monitoring.
Background
Traffic safety is one of the most important things in traffic travel, and if a traffic accident occurs, not only can the road traffic capacity be restricted, but also the life and property safety of a driver can be damaged.
Four factors of traffic safety are people, vehicles, roads and environments, and the correct recognition of the driving environment is an important prerequisite for safe driving of drivers. The influence of rainfall on traffic safety is great, accidents occurring in rainy days are more serious than accidents occurring in sunny and cloudy days, and firstly, the influence of rainfall on visibility mainly causes the reduction of visibility, the visibility and the readability of marking lines and the like; secondly, rainfall influences the adhesion coefficient, and the rainfall causes the road surface to be covered with a layer of water film, so that the adhesion coefficient of the tire and the road surface is obviously reduced. Therefore, the driver can know the driving environment, the driving alertness and the driving safety of the driver can be improved, the driving state of the driver can be adjusted, the traffic driving safety can be guaranteed, and the traffic accident rate can be reduced.
The accident data brings valuable information to the reasons, conditions and preventive measures of the accident, the accident data is collected in the accident database and is the core of the accident management system, the purpose is to comprehensively and scientifically store the accident data, fully and effectively mine and utilize the precious information stored in the accident, the prediction and prevention work of the accident is effectively carried out, and the purpose of controlling the accident is further achieved.
However, a driving early warning system based on driving rainfall real-time monitoring control and a historical accident database does not exist at present, so that the problem to be solved by the patent is how to enable a driver to obtain accurate rainfall outside the vehicle in the vehicle running under the rainfall condition, and the risk degree of the current driving location is reminded by utilizing comprehensive information such as accident grade, accident quantity and the like of the current driving location.
Disclosure of Invention
(I) technical problem to be solved
The invention provides an automobile intelligent early warning system based on rainfall real-time monitoring, rainfall information is collected through a roadside rainfall measuring instrument such as a rain gauge or a rain gauge and is transmitted to an on-board controller, meanwhile, the on-board controller is accessed to a local historical accident database through a wireless communication technology and an ODBC technology, an accident risk value under the current condition is calculated by an early warning decision module, and processed information is transmitted to a driver in a voice prompt mode, so that the driver can know the driving environment, the comprehensive judgment capability of the driver on the outside is improved, the driving alertness is improved, the traffic driving safety is guaranteed, and the traffic accident rate is reduced.
(II) technical scheme
In order to solve the technical problem, the method of the invention comprises the following steps:
step 11: rainfall information of the area where the road section is located comprises rainfall information and rainfall intensity information, wherein the rainfall is represented by c and is in ml, and the rainfall intensity is represented by siDenotes that i ∈ (1,6), as defined by the weather department, is slightly raining(s)1) It refers to the rain with precipitation not exceeding 10 mm in 24 hours, the middle rain(s)2) 10 mm-24.9 mm, heavy rain(s)3) From 25 mm to 49.9 mm, over 50 mm, known as rainstorms(s)4) Over 100 mm, called heavy storm(s)5) Over 250 mm, called extra heavy rainstorm(s)6) (ii) a Vehicle stationDays of continuous rainfall at the present, denoted by C; then transmitting the acquired information to a vehicle-mounted controller;
step 21: the vehicle-mounted controller acquires the position information of the vehicle, and the position information is expressed by longitude and latitude (x, y); accident rating of local historical accidents, by LkDenotes, where k ∈ (1,4), a catastrophic failure (L)1)90 points, major accident (L)2)80 minutes, general Accident (L)3)70 points, minor accident (L)4) The method comprises the following steps of (1) 60 points, particularly, if no accident happens on the day of rainfall in historical data, assuming that an accident risk value is 50 points; number of days of continuous rainfall at the time of occurrence of local historical accident, using CjDenotes, where j ∈ (1,5), the first and second day (C)1)95 minutes, third day (C)2)90 minutes, fourth and fifth day (C)3)85 min, sixth day (C)4)80 minutes, the rest days of continuous rainfall (C)5)70 minutes; the current month is represented by m, wherein months 2, 6, 10 and 11 are high-risk months, and the rest are medium-low risk months; the current time is represented by h, wherein the point 10, the point 15 and the point 16 are 100 minutes, the point 11 and the point 14 are 90 minutes, the point 9, the point 12 and the point 17 are 80 minutes, and the rest is 70 minutes;
step 22: firstly, the vehicle-mounted controller acquires the longitude and latitude (x, y) of the position information of the vehicle, further indexes a local historical accident database, analyzes the accident situation around the location of the vehicle, and respectively obtains the current rainfall intensity siAnd the number of days of continuous rainfall when the local historical accident occurs CjHigh risk month base risk value
Figure BDA0003332503550000031
And medium-low risk month base risk value
Figure BDA0003332503550000032
Representing that the constraints of equations (1) - (2) are satisfied:
Figure BDA0003332503550000033
Figure BDA0003332503550000034
wherein n is the current rainfall intensity s at the location of the vehicleiThe number of accidents in different degrees from the historical accidents of continuous rainfall time;
secondly, calculating month risk value and month risk value of high risk month on the basis of basic risk
Figure BDA0003332503550000035
Indicating month risk of low-to-medium risk months
Figure BDA0003332503550000036
Represents that the constraints of equations (3) to (4) are satisfied:
Figure BDA0003332503550000037
Figure BDA0003332503550000038
then, an hourly risk value is calculated
Figure BDA0003332503550000039
Representing that the constraints of equations (5) - (8) are satisfied:
Figure BDA00033325035500000310
Figure BDA00033325035500000311
Figure BDA00033325035500000312
Figure BDA00033325035500000313
finally, the total risk value of the objective function is established
Figure BDA00033325035500000314
Expressed as shown in formulas (9) to (10):
Figure BDA00033325035500000315
Figure BDA00033325035500000316
step 31: the voice prompter carries out voice prompt on the driver according to the total risk value obtained by processing the vehicle-mounted controller, and the sentence format is as follows: the rainfall of the current vehicle in the place near 24 hours is c ml, the rainfall intensity is siAfter continuous rainfall for x days, the current accident risk index is
Figure BDA0003332503550000041
Please drive cautiously.
(III) advantageous effects
Compared with the prior art, the invention has the following advantages:
the invention can accurately collect rainfall information and access the rainfall information to a local historical accident database, calculate the accident risk value under the current condition by utilizing the early warning decision module, and transmit the processed information to the driver in a voice prompt mode, thereby enabling the driver to know the driving environment, improving the comprehensive judgment capability of the driver to the outside, improving the driving alertness, ensuring the traffic driving safety and reducing the traffic accident rate.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of the present invention system in actual roadway applications;
FIG. 3 is a flow chart of the steps of the method of the present invention.
Reference numerals: 1-rainfall real-time monitoring controller, 2-vehicle-mounted controller and 3-voice prompting device.
Detailed Description
The invention will be described in further detail below with reference to the accompanying fig. 1-3 and examples, but the embodiments of the invention are not limited thereto. The embodiments of the present invention are not limited to the embodiments described above, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and they are included in the scope of the present invention.
An intelligent early warning system of an automobile based on rainfall real-time monitoring comprises the following steps:
step 1: the rainfall real-time monitoring controller 1 collects rainfall information of an area where a road section is located and transmits the collected information to the vehicle-mounted controller 2;
step 2: the vehicle-mounted controller 2 acquires the position information of the vehicle, receives the acquisition information transmitted by the rainfall real-time monitoring controller 1, simultaneously accesses a local historical accident database, and processes the information;
and step 3: the voice prompter 3 carries out voice prompt on the driver according to the result processed by the vehicle-mounted controller 2.
In the embodiment, the rainfall amount c of the past 24 hours collected by the rainfall amount real-time monitoring controller 1 is 5ml, and the rainfall intensity is s1Namely, light rain, the number of days C of continuous rainfall at the vehicle location is the second day;
step 2, the vehicle-mounted controller 2 receives the information and accesses a local historical accident database, and then processes the information; in the embodiment, the onboard controller 2 acquires the position information of the own vehicle (112.83370936227797 ° E, 28.237380864460686 ° N); suppose accident data for local historical accidents is shown in table 1;
TABLE 1 Accident data for local historical accidents
Figure BDA0003332503550000051
Assuming that the current month is 6 months, i.e. m is 6, the current month is a high risk month; the current time is 10 am, namely h is 10;
since the current month is a high risk month, the basic risk value of the high risk month needs to be calculated, namely:
Figure BDA0003332503550000052
second, the month risk value for the high risk month is calculated, i.e.:
Figure BDA0003332503550000053
Figure BDA0003332503550000054
then, an hourly risk value is calculated, i.e.
Figure BDA0003332503550000055
Finally, the total risk value is calculated, i.e.
Figure BDA0003332503550000056
The accident data of the local historical accidents are all the traffic accidents occurring under various local weather conditions, the accident data is public and is counted or can be counted, so that the vehicle-mounted controller 2 can access the local historical accident database and then process the data.
Step 3 is that the voice prompter 3 carries out voice prompt related processing results on the driver, in the embodiment: the rainfall of the current vehicle running location is 5ml in nearly 24 hours, the rainfall intensity is light rain, the current accident risk index is 86.15 after the vehicle continuously rains for 2 days, and the driver is cautious to drive.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and substitutions can be made without departing from the technical principle of the present invention, and these modifications and substitutions should also be regarded as the protection scope of the present invention.

Claims (4)

1. An intelligent early warning system of an automobile based on rainfall real-time monitoring is characterized by comprising the following steps:
step 1: the rainfall real-time monitoring controller (1) collects rainfall information of an area where a road section is located and transmits the collected information to the vehicle-mounted controller (2);
step 2: the vehicle-mounted controller (2) acquires the position information of a vehicle, receives the acquisition information transmitted by the rainfall real-time monitoring controller (1), simultaneously accesses a local historical accident database, and processes the information;
and step 3: the voice prompter (3) carries out voice prompt on the driver according to the result processed by the vehicle-mounted controller (2).
2. The intelligent early warning system for the automobile based on the real-time rainfall monitoring of the claim 1, wherein the step 1 comprises the following steps:
step 11: rainfall information of the area where the road section is located comprises rainfall information and rainfall intensity information, wherein the rainfall is represented by c and is in ml, and the rainfall intensity is represented by siDenotes that i ∈ (1,6), as defined by the weather department, is slightly raining(s)1) It refers to the rain with precipitation not exceeding 10 mm in 24 hours, the middle rain(s)2) 10 mm-24.9 mm, heavy rain(s)3) From 25 mm to 49.9 mm, over 50 mm, known as rainstorms(s)4) Over 100 mm, called heavy storm(s)5) Over 250 mm, called extra heavy rainstorm(s)6) (ii) a The number of days of continuous rainfall at the vehicle location is represented by C; the collected information is then transmitted to the onboard controller (2).
3. The intelligent early warning system for the automobile based on the real-time rainfall monitoring of the claim 1, wherein the step 2 comprises the following steps:
step 21: the vehicle-mounted controller (2) acquires the position information of the vehicle and expresses the position information by longitude and latitude (x, y); accident rating of local historical accidents, by LkDenotes, where k ∈ (1,4), a catastrophic failure (L)1)90 points, major accident (L)2)80 minutes, general Accident (L)3)70 points, minor accident (L)4) The method comprises the following steps of (1) 60 points, particularly, if no accident happens on the day of rainfall in historical data, assuming that an accident risk value is 50 points; number of days of continuous rainfall at the time of local historical accident, using CjDenotes, where j ∈ (1,5), the first and second day (C)1)95 minutes, third day (C)2)90 minutes, fourth and fifth day (C)3)85 min, sixth day (C)4)80 minutes, the rest days of continuous rainfall (C)5)70 minutes; the current month is represented by m, wherein months 2, 6, 10 and 11 are high-risk months, and the rest are medium-low risk months; the current time is represented by h, wherein the point 10, the point 15 and the point 16 are 100 minutes, the point 11 and the point 14 are 90 minutes, the point 9, the point 12 and the point 17 are 80 minutes, and the rest is 70 minutes;
step 22: firstly, the vehicle-mounted controller (2) acquires the longitude and latitude (x, y) of the position information of the vehicle, further indexes a local historical accident database, analyzes the accident situation around the location of the vehicle, and respectively obtains the current rainfall intensity siAnd days of continuous rainfall at the time of local historical accident CjHigh risk month base risk value
Figure FDA0003332503540000021
And medium-low risk month base risk value
Figure FDA0003332503540000022
Table b, the constraints of equations (1) - (2) are satisfied:
Figure FDA0003332503540000023
Figure FDA0003332503540000024
wherein n is the current rainfall intensity s at the location of the vehicleiThe number of accidents in different degrees from the historical accidents of continuous rainfall time;
secondly, calculating month risk value and month risk value of high risk month on the basis of basic risk
Figure FDA0003332503540000025
Indicating month risk of low-to-medium risk months
Figure FDA0003332503540000026
Represents that the constraints of equations (3) to (4) are satisfied:
Figure FDA0003332503540000027
Figure FDA0003332503540000028
then, an hourly risk value is calculated
Figure FDA0003332503540000029
Representing that the constraints of equations (5) - (8) are satisfied:
Figure FDA00033325035400000210
Figure FDA00033325035400000211
Figure FDA00033325035400000212
Figure FDA00033325035400000213
finally, the total risk value of the objective function is established
Figure FDA00033325035400000214
Expressed as shown in formulas (9) to (10):
Figure FDA00033325035400000215
Figure FDA0003332503540000031
4. the intelligent early warning system for the automobile based on the real-time rainfall monitoring of the claim 1, wherein the step 3 comprises the following steps:
step 31: the voice prompter (3) carries out voice prompt on the driver according to the total risk value obtained by the processing of the vehicle-mounted controller (2), and the sentence format is as follows: the rainfall of the current vehicle in the place near 24 hours is c ml, the rainfall intensity is siAfter continuous rainfall for x days, the current accident risk index is
Figure FDA0003332503540000032
Please drive cautiously.
CN202111284556.4A 2021-11-01 2021-11-01 Intelligent automobile early warning system based on rainfall real-time monitoring Withdrawn CN114005284A (en)

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Publication number Priority date Publication date Assignee Title
CN115938125A (en) * 2023-01-05 2023-04-07 交通运输部公路科学研究所 Safety early warning control method, device and system for downhill road section
CN115938125B (en) * 2023-01-05 2024-01-30 交通运输部公路科学研究所 Safety early warning control method, device and system for downhill road section

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Application publication date: 20220201