CN112419730A - Detection and identification method for dangerous driving and renting users of shared electric vehicle - Google Patents
Detection and identification method for dangerous driving and renting users of shared electric vehicle Download PDFInfo
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- CN112419730A CN112419730A CN202011351650.2A CN202011351650A CN112419730A CN 112419730 A CN112419730 A CN 112419730A CN 202011351650 A CN202011351650 A CN 202011351650A CN 112419730 A CN112419730 A CN 112419730A
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- 238000001514 detection method Methods 0.000 title claims abstract description 8
- 230000001133 acceleration Effects 0.000 claims abstract description 36
- 206010039203 Road traffic accident Diseases 0.000 abstract description 5
- GOLXNESZZPUPJE-UHFFFAOYSA-N spiromesifen Chemical compound CC1=CC(C)=CC(C)=C1C(C(O1)=O)=C(OC(=O)CC(C)(C)C)C11CCCC1 GOLXNESZZPUPJE-UHFFFAOYSA-N 0.000 abstract 1
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- G—PHYSICS
- G08—SIGNALLING
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- 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
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- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
A shared electric vehicle dangerous driving car renting user detection and identification method includes calculating current driving speed and acceleration of wheels of a shared electric vehicle to detect excessive acceleration of sudden reduction from normal speed to zero caused by vehicle overspeed and vehicle collision during driving, judging whether the shared electric vehicle has overspeed driving condition and dangerous driving condition of collision during driving, identifying car renters with high collision risk in frequent overspeed driving and driving processes, counting overspeed driving times and collision dangerous driving times of the car renters after car renting is finished, identifying users with excessive dangerous driving times in continuous three car renting processes as high-risk users to forbid providing of car renting service, and reducing risk of bearing responsibility of traffic accidents.
Description
Technical Field
The invention relates to the field of intelligent transportation, in particular to a detection and identification method for dangerous driving and car renting users of shared electric vehicles.
Background
With the popularization of shared electric vehicles, traffic accidents caused by dangerous driving of users leasing the shared electric vehicles are more and more frequent. In order to ensure the running safety of the shared electric bicycle, the related national standard requires that the maximum speed per hour of the electric shared bicycle does not exceed 25km/h, the electric shared bicycle can be braked and stopped within 4 meters when running at the maximum speed under a dry condition, the electric shared bicycle can be braked and stopped within 10 meters when running at the maximum speed under a wet condition, and the deceleration reduced by the maximum deceleration is-6 m/s2。
When traffic accidents are caused by dangerous driving of the shared electric vehicle, no matter the user rents the electric vehicle, drivers of other motor vehicles or personal safety accidents of pedestrians, the shared electric vehicle renting company possibly needs to bear legal responsibility for reimbursement. In actual operation, a shared electric vehicle company generally only detects and alarms the overspeed running of the shared electric vehicle, and does not check whether a renter has a dangerous driving habit. When the vehicle is rented to a user who is used to dangerous driving, not only can personal safety of tenants and other pedestrians be endangered, but also serious economic loss can be caused to company with responsibility. Therefore, a method for detecting and identifying dangerous driving car renters of the shared electric vehicle is urgently needed, and the method is used for evaluating the credit level of dangerous driving of the car renters, assisting in managing and controlling the traveling of the shared electric vehicle and ensuring the traffic driving safety.
Disclosure of Invention
The invention mainly aims to provide a detection and identification method for dangerous driving car renters of shared electric vehicles, aiming at the problems that the car renters with dangerous driving habits are easy to cause safety accidents and the traffic safety can not be ensured.
In order to achieve the purpose, the invention adopts the technical scheme that: a detection and identification method for dangerous driving car renting users of shared electric vehicles comprises the following steps:
A. acquiring the current running speed of the shared electric vehicle in real time in the running state of the shared electric vehicle;
B. comparing the current running speed with the speed-limiting speed, if the running speed is higher than the speed-limiting speed, judging that the shared electric vehicle is overspeed currently and has overspeed dangerous driving conditions, and returning to the step A after overspeed counting; if the running speed is not greater than the speed limit speed, entering the step C;
C. judging whether the shared electric vehicle is in a deceleration state currently or not by using the running speed of the shared electric vehicle, if so, calculating the acceleration of the shared electric vehicle during current deceleration, and otherwise, returning to the step A;
D. judging whether the absolute value of the acceleration is larger than the absolute value of the acceleration threshold value, if so, judging that the shared electric vehicle has a dangerous driving condition of sudden speed drop caused by collision at present, and counting the dangerous driving condition of collision;
and D, when the absolute value of the acceleration is larger than the absolute value of the acceleration threshold value in the step D, judging whether the car renter returns the car, if not, returning to the step A, and if so, entering the step E.
E. After the taxi is rented, the background system sends warning information to the users with excessive overspeed times or excessive collision dangerous driving times in the taxi renting process according to the overspeed driving times and the excessive collision dangerous driving times, reported by the shared electric vehicle, of the taxi users in the driving process, identifies the taxi users with excessive collision in the continuous three-time taxi renting process as high-risk users, and prohibits the taxi renting service.
The shared electric vehicle mentioned above is a shared electric bicycle or a shared electric vehicle.
The current running speed of the shared electric vehicle obtained in the step a is obtained by calculating the number of revolutions of the wheel and the circumference of the wheel, and the number of revolutions of the wheel is obtained by installing a revolution counter on the wheel of the shared electric vehicle.
The speed limiting speed mentioned in the step B is the speed range of the area where the shared electric vehicle is located; the above-mentioned calculation of the acceleration at the time of deceleration is the prior art, and can be obtained by calculating the traveling speed at the two moments before and after; and D, the acceleration threshold value in the step D is 1.2 times of the maximum braking acceleration of the shared electric vehicle, and the maximum braking acceleration is determined according to the highest designed speed per hour and the braking distance.
According to the invention, the running speed and the acceleration of the vehicle are calculated in real time, and the exceeding acceleration of which the normal speed is suddenly reduced to zero caused by overspeed of the vehicle and collision of the vehicle in the running process is detected and counted, so that the dangerous behaviors of driving in habitual overspeed driving or driving process are identified, data support is provided for the follow-up control of the shared electric vehicle, the probability of traffic accidents caused by dangerous driving of users is reduced, and the traffic traveling safety of the users and pedestrians is improved.
The objects, features, and advantages of the present invention will be further described with reference to the following drawings.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention detects the over-standard acceleration which is caused by the overspeed of the vehicle and the sudden reduction of the normal speed to zero when the vehicle collides in the running process by calculating the running speed and the acceleration of the vehicle, thereby identifying the dangerous behavior of the collision in the process of overspeed driving or driving, and identifying whether the user renting the vehicle is a high-risk user or not by counting the over-standard times. Calculating the running speed of the vehicle in real time; comparing the running speed with the speed limiting speed, and judging whether the shared electric vehicle has overspeed dangerous driving condition according to the comparison result; on the basis, the acceleration of the vehicle during deceleration can be calculated according to the vehicle speed at the front moment and the rear moment, and when the absolute value of the acceleration is larger than the absolute value of the acceleration threshold value, the dangerous driving condition that the shared electric vehicle collides during running can be judged; by counting the times of overspeed driving and collision in each taxi renting process, data support is provided for the following habitual dangerous driving users who control and refuse service of the shared electric vehicle, the probability of traffic accidents caused by dangerous driving of the users is reduced, and the traffic traveling safety of the users and pedestrians is improved.
Referring to fig. 1, the present invention is a method for detecting dangerous driving of a shared electric vehicle, comprising the steps of:
A. and under the running state of the shared electric vehicle, the running speed of the shared electric vehicle is obtained in real time.
The shared electric vehicle includes a shared electric vehicle and a shared electric vehicle, and vehicle parameters required by different vehicle types are different, that is, speed limit speed and acceleration threshold values mentioned later should be determined respectively according to the vehicle types, and will not be described later.
The aforementioned obtaining of the running speed of the shared electric vehicle is prior art, and the wheel revolution counting data of the shared electric vehicle can be obtained in real time by installing a revolution counter on the shared electric vehicle wheel, and the current running speed of the shared electric vehicle can be calculated by combining the circumference of the shared electric vehicle wheel. It should be understood that the present embodiment describes only one way of acquiring the running speed, but is not limited thereto, and the prior art way of acquiring the running speed is also applicable to the present invention.
The circumference of the wheel is a fixed length preset when the shared electric vehicle leaves the factory, and the distance traveled by the vehicle can be calculated according to the circumference of the wheel and the wheel revolution count, and the calculation formula is as follows: the vehicle running distance is the wheel circumference, the wheel rotation count is the wheel rotation count, and the vehicle running speed in a certain time period can be further calculated.
B. Comparing the current running speed with the speed-limiting speed, if the running speed is higher than the speed-limiting speed, judging that the shared electric vehicle is overspeed currently and has overspeed dangerous driving conditions, counting the overspeed and returning to the step A; if the running speed is not greater than the speed limit speed, entering the step C;
the speed-limiting speed is a pre-stored speed range of the area where the shared electric vehicle is located, and the speed-limiting speed range is synchronously updated with map information in various map application software in real time.
C. Judging whether the shared electric vehicle is in a deceleration state currently or not by using the running speed of the shared electric vehicle, if so, calculating the acceleration of the shared electric vehicle during current deceleration, and if not, returning to the step A;
the above-mentioned acceleration is derived by a formula in which,
the acceleration is the difference in velocity between the previous and the next instant in time, and is the time interval.
D. Judging whether the absolute value of the acceleration is larger than the absolute value of the acceleration threshold value, if so, judging that the shared electric vehicle has a dangerous driving condition of sudden speed drop caused by collision at present, and counting the dangerous driving condition of collision; and if not, judging whether the taxi renter returns the taxi, if not, returning to the step A, and if so, entering the step E.
The above-mentioned acceleration threshold value may be set in accordance with 1.2 times the maximum braking acceleration. The maximum braking acceleration of the shared electric vehicle is determined by the maximum design speed per hour and the braking distance, and the maximum design speed per hour and the braking distance can refer to the specifications of electric bicycle safety technical specifications, road traffic safety law enforcement regulations and the like.
E. When the renter returns the shared electric vehicle, the shared electric vehicle reports the dangerous driving times of overspeed or collision of the renter to the background system, and the background system counts the dangerous driving times of overspeed or collision of the renter. Sending warning information to a user with excessive overspeed times or excessive collision dangerous driving times in the car renting process (for example, setting threshold values of the excessive overspeed driving times and the excessive collision dangerous driving times in the car renting process to be 10 times and 1 time respectively, and marking the car renting user with the excessive overspeed driving times or the excessive collision dangerous driving times as the excessive collision when the counted car renting user exceeds 10 times or the excessive collision dangerous driving times exceeds 1 time) and forbidding providing car renting service. It can be understood that after the user returns the vehicle, overspeed and acceleration exceeding data should be immediately reported to the control center, and the control center should also send the rating result to the user through the mobile phone APP or in a form of a short message after rating the user, so as to give a warning to the vehicle dangerous driving user.
It is to be noted that, in this document, the terms "comprises", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion, so that a process or method including a series of elements includes not only those elements but also other elements not explicitly listed or inherent to such process or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in the processes or methods for which the element is included.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. A detection and identification method for dangerous driving car renting users of shared electric vehicles is characterized by comprising the following steps:
A. acquiring the current running speed of the shared electric vehicle in real time in the running state of the shared electric vehicle;
B. comparing the current running speed with the speed-limiting speed, if the running speed is higher than the speed-limiting speed, judging that the shared electric vehicle is overspeed currently and has overspeed dangerous driving conditions, and returning to the step A after overspeed counting; if the running speed is not greater than the speed limit speed, entering the step C;
C. judging whether the shared electric vehicle is in a deceleration state currently or not by using the running speed of the shared electric vehicle, if so, calculating the acceleration of the shared electric vehicle during current deceleration, and otherwise, returning to the step A;
D. judging whether the absolute value of the acceleration is larger than the absolute value of the acceleration threshold value, if so, judging that the shared electric vehicle has a dangerous driving condition of sudden speed drop caused by collision at present, and counting the dangerous driving condition of collision;
E. after the car renting is finished, the background system counts the number of overspeed driving times and the number of collision dangerous driving times of the car renting user in the car renting process, sends warning information to the user with the exceeding overspeed times or collision dangerous driving times in the car renting process, identifies the user with the exceeding standard in the continuous three car renting processes as a high-risk user, and forbids the car renting service.
2. The method for detecting and identifying a user of a shared electric vehicle for dangerous driving and renting the vehicle according to claim 1, wherein in the step D, when the absolute value of the acceleration is greater than the absolute value of the acceleration threshold value, whether the user of the vehicle renting returns the vehicle is judged, if not, the step a is returned, and if yes, the step E is executed.
3. The method for detecting and identifying dangerous-driving rental car users of shared electric vehicles according to claim 1 or 2, wherein the shared electric vehicle is a shared electric bicycle or a shared electric car.
4. The method for detecting and identifying a user of a shared electric vehicle for dangerous driving and renting the shared electric vehicle as claimed in claim 1 or 2, wherein the speed limit in the step B is a speed range of the shared electric vehicle in a local place.
5. The method for detecting and identifying a user of a shared electric vehicle for dangerous driving and renting the shared electric vehicle as claimed in claim 1 or 2, wherein the acceleration threshold value in the step D is 1.2 times of the maximum braking acceleration of the shared electric vehicle.
6. A shared electric vehicle dangerous driving rental car user detection and identification method as claimed in claim 5, wherein said maximum braking acceleration is determined based on a highest designed speed per hour and a braking distance.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011351650.2A CN112419730A (en) | 2020-11-27 | 2020-11-27 | Detection and identification method for dangerous driving and renting users of shared electric vehicle |
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| CN108830477A (en) * | 2017-04-18 | 2018-11-16 | 陈玉玲 | A kind of shared automobile |
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Patent Citations (8)
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| CN102044095A (en) * | 2010-09-10 | 2011-05-04 | 深圳市航天星网通讯有限公司 | Personal driving behaviour analysis management control system |
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Application publication date: 20210226 |
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