CN114882710A - Intelligent automobile early warning system based on real-time monitoring of visibility in foggy weather - Google Patents

Intelligent automobile early warning system based on real-time monitoring of visibility in foggy weather Download PDF

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Publication number
CN114882710A
CN114882710A CN202111283511.5A CN202111283511A CN114882710A CN 114882710 A CN114882710 A CN 114882710A CN 202111283511 A CN202111283511 A CN 202111283511A CN 114882710 A CN114882710 A CN 114882710A
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visibility
fog
vehicle
accident
days
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Inventor
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
    • 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

Abstract

The invention provides an automobile intelligent early warning system and method based on real-time monitoring of visibility in foggy weather, wherein the system comprises the following steps: the real-time monitoring controller for the visibility in the foggy days is used for acquiring the visibility information of the area where the road section is located and transmitting the visibility information to the vehicle-mounted controller; the vehicle-mounted controller is used for acquiring vehicle position information, receiving collected information transmitted by the real-time monitoring controller for visibility in foggy days, 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 invention transmits visibility information to the vehicle-mounted controller through the real-time monitoring controller for visibility in foggy days, simultaneously the vehicle-mounted controller is accessed into a local historical accident database, an early warning decision module is used for calculating the accident risk value under the current condition, and the processed information is transmitted to the 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 ensured, and the traffic accident rate is reduced.

Description

Intelligent automobile early warning system based on real-time monitoring of visibility in foggy weather
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 a foggy day, and particularly relates to an intelligent early warning system for an automobile based on real-time monitoring of visibility in the foggy day.
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 fog on the visibility is firstly, the light is weakened to cause the illumination of roads and barrier surfaces to be reduced, and then the contrast is remarkably reduced by a luminous atmosphere layer formed by scattered light along the sight of a driver, so that the visibility is reduced; secondly, fog influences the adhesion coefficient, and the fog day air humidity is big, leads to road surface to cover a layer of water film, and the adhesion coefficient of tire and road surface is showing to be 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 real-time monitoring and control of visibility in foggy days 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 visibility outside the vehicle in the foggy days when driving the vehicle under the foggy day condition, and how to remind the risk degree of the current driving location by utilizing comprehensive information such as the accident grade, the 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 real-time monitoring of visibility in foggy days, which collects visibility information through a visibility observation instrument on the road side, such as a transmission type visibility observation instrument and a scattering type visibility observation instrument, transmits the collected visibility information to an on-board controller, simultaneously accesses a local historical accident database through a wireless communication technology and an ODBC technology, calculates an accident risk value under the current condition by using an early warning decision module, and transmits the processed information 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 ensured, 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: fog day information of the area where the road section is located, wherein the visibility in fog days is represented by c and the unit is m, and the visibility in fog days is represented by s i Denotes, where i ∈ (1,5), as defined by the weather department, light fog(s) 1 ) Refers to fog, fog(s) with horizontal visibility distance of 1-10 km 2 ) Less than 1 km, heavy fog(s) 3 ) 200-500 m, dense fog(s) 4 ) The fog is 50-200 m, and the fog less than 50 m is called strong dense fog(s) 5 ) (ii) a The location of the vehicle is now continuousDays in fog, indicated as 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 L k Denotes, 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 foggy day in historical data, assuming that an accident risk value is 50 points; days in fog when local historical accidents occur, use C j Denotes, where j ∈ (1,5), the first and second day (C) 1 ) Score 95, day three (C) 2 )90 minutes, fourth and fifth day (C) 3 )85 min, sixth day (C) 4 )80 minutes, the rest days in fog (C) 5 )70 minutes; the current month is represented by m, wherein months 1, 2, 3 and 8 are high-risk months, and the rest are medium-low risk months; the current time is represented by h, wherein the point 7, the point 8 and the point 23 are 100 minutes, the point 6 and the point 19 are 90 minutes, the point 9 and the point 18 are 80 minutes, and the rest are 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 acquires the current fog day type s i And the number of days C of continuous fog days when the local historical accident occurs j High risk month base risk value
Figure BDA0003332140850000031
And medium-low risk month base risk value
Figure BDA0003332140850000032
Representing that the constraints of equations (1) - (2) are satisfied:
Figure BDA0003332140850000033
Figure BDA0003332140850000034
wherein n is the current foggy day type s of the place where the vehicle is located i The number of accidents in different degrees in historical accidents in continuous foggy day time;
secondly, calculating month risk value and month risk value of high risk month on the basis of basic risk
Figure BDA0003332140850000035
Indicating month risk of low-to-medium risk months
Figure BDA0003332140850000036
Represents that the constraints of equations (3) to (4) are satisfied:
Figure BDA0003332140850000037
Figure BDA0003332140850000038
then, an hourly risk value is calculated
Figure BDA0003332140850000039
Representing that the constraints of equations (5) - (8) are satisfied:
Figure BDA00033321408500000310
Figure BDA00033321408500000311
Figure BDA00033321408500000312
Figure BDA00033321408500000313
finally, the total risk value of the objective function is established
Figure BDA00033321408500000314
Expressed as shown in formulas (9) to (10):
Figure BDA00033321408500000315
Figure BDA00033321408500000316
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 visibility of the current vehicle in the fog is cm, and the type of the fog is s i After x days in foggy days, the current accident risk index is
Figure BDA0003332140850000041
Please drive cautiously.
(III) advantageous effects
Compared with the prior art, the invention has the following advantages:
the invention can accurately collect the foggy day information and access the foggy day information to a local historical accident database, calculate the accident risk value under the current condition by using 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 on 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-real-time monitoring controller for visibility in foggy weather, 2-vehicle-mounted controller and 3-voice prompter.
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 automobile intelligent early warning system based on real-time monitoring of visibility in foggy weather comprises the following steps:
step 1: the real-time monitoring controller 1 for the visibility in the foggy days acquires the visibility information of the area where the road section is located and transmits the acquired information to the vehicle-mounted controller 2;
step 2: the vehicle-mounted controller 2 acquires the position information of a vehicle, receives the acquired information transmitted by the real-time monitoring controller 1 for visibility in foggy days, 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.
Step 1 is that the collected information is input as visibility information of an early warning decision module, in the embodiment, the real-time monitoring controller 1 collects visibility c of foggy days as 800m, and the type of foggy days is s 2 The number of days C of continuous fog days 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 (112.60365629507064 ° E, 27.377820836372585 ° N); suppose accident data for local historical accidents is shown in table 1;
TABLE 1 Accident data for local historical accidents
Figure BDA0003332140850000051
Assuming that the current month is 8 months, i.e. m is 8, the current month is a high risk month; the current time is 8 am, namely h is 8;
since the current month is a high risk month, the basic risk value of the high risk month needs to be calculated, namely:
Figure BDA0003332140850000052
second, the month risk value for the high risk month is calculated, i.e.:
Figure BDA0003332140850000053
Figure BDA0003332140850000054
then, an hourly risk value is calculated, i.e.
Figure BDA0003332140850000055
Finally, the total risk value is calculated, i.e.
Figure BDA0003332140850000056
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: visibility of the current driving place of the vehicle in foggy days is 800m, the type of the foggy days is fog, the current accident risk index is 89.3 after 2 days of continuous foggy 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 automobile intelligent early warning system based on real-time monitoring of visibility in foggy weather is characterized by comprising the following steps:
step 1: the real-time monitoring controller (1) for the visibility in the foggy days acquires visibility information of an area where a road section is located and transmits the acquired information to the vehicle-mounted controller (2);
step 2: the vehicle-mounted controller (2) acquires the position information of a vehicle, receives the collected information transmitted by the real-time monitoring controller (1) for visibility in foggy days, simultaneously accesses a local historical accident database, and then processes the information;
and 3, 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 monitoring of the visibility in the foggy days as claimed in claim 1, wherein the step 1 comprises the following steps:
step 11: fog information of the area of the road section, wherein the visibility in fog is represented by c in m, and the type in fog is represented by s i Denotes, where i ∈ (1,5), as defined by the weather department, light fog(s) 1 ) Refers to fog, fog(s) with horizontal visibility distance of 1-10 km 2 ) Less than 1 km, heavy fog(s) 3 ) 200 and 500 m, thick fog(s) 4 ) The fog is 50-200 m, and the fog less than 50 m is called strong dense fog(s) 5 ) (ii) a The number of days of continuous fog days 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 monitoring of the visibility in the foggy days as claimed in 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 L k Is represented by, wherein k ∈ (1,4)) Major accident (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 foggy day in historical data, assuming that an accident risk value is 50 points; days in fog when local historical accidents have occurred, use C j Denotes, 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 minutes, sixth day (C) 4 )80 minutes, the rest days in fog (C) 5 )70 minutes; the current month is represented by m, wherein months 1, 2, 3 and 8 are high-risk months, and the rest are medium-low risk months; the current time is represented by h, wherein the point 7, the point 8 and the point 23 are 100 minutes, the point 6 and the point 19 are 90 minutes, the point 9 and the point 18 are 80 minutes, and the rest are 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 fog day type s i And number of days in fog when local historical accidents have occurred C j High risk month base risk value
Figure FDA0003332140840000021
And medium-low risk month base risk value
Figure FDA0003332140840000022
Representing that the constraints of equations (1) - (2) are satisfied:
Figure FDA0003332140840000023
Figure FDA0003332140840000024
wherein n is the current foggy day type s of the place where the vehicle is located i Unlike in historical accidents during continuous foggy daysNumber of degree of accident;
secondly, calculating month risk value and month risk value of high risk month on the basis of basic risk
Figure FDA0003332140840000025
Indicating month risk of low-to-medium risk months
Figure FDA0003332140840000026
Represents that the constraints of equations (3) to (4) are satisfied:
Figure FDA0003332140840000027
Figure FDA0003332140840000028
then, an hourly risk value is calculated
Figure FDA0003332140840000029
Representing that the constraints of equations (5) - (8) are satisfied:
Figure FDA00033321408400000210
Figure FDA00033321408400000211
Figure FDA00033321408400000212
Figure FDA00033321408400000213
finally, the total risk value of the objective function is established
Figure FDA00033321408400000214
Expressed as shown in formulas (9) to (10):
Figure FDA00033321408400000215
Figure FDA00033321408400000216
。
4. the intelligent early warning system for the automobile based on the real-time monitoring of the visibility in the foggy days as claimed in 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 visibility of the current vehicle in the fog is cm, and the type of the fog is s i After x days in foggy days, the current accident risk index is
Figure FDA0003332140840000031
Please drive cautiously.
CN202111283511.5A 2021-11-01 2021-11-01 Intelligent automobile early warning system based on real-time monitoring of visibility in foggy weather Withdrawn CN114882710A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
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

Cited By (2)

* Cited by examiner, † Cited by third party
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: 20220809