CN108921418B - Driving risk assessment method based on automobile positioning and comprehensive information big data - Google Patents
Driving risk assessment method based on automobile positioning and comprehensive information big data Download PDFInfo
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Abstract
The invention provides a driving risk assessment method based on automobile positioning and comprehensive information big data, which comprises the following steps: collecting vital signs, driving information and automobile position information of a user by a portable mobile terminal; sending the automobile position information to a safety evaluation platform; determining the running speed of the automobile and the surrounding traffic conditions based on the automobile position information; dividing users into a plurality of priorities based on the driving speed of the automobile and the surrounding traffic conditions; sending a first request message to a user with high priority; after the portable mobile terminal of the user with the high priority receives the first request message, sending the vital signs and the driving information of the user with the high priority to the safety assessment platform; generating a driving risk assessment report for a high-priority user based on the vital signs and the driving information of the high-priority user; and sending an early warning message to the portable mobile terminal of the user with the high priority based on the driving risk assessment report aiming at the user with the high priority.
Description
Technical Field
The invention relates to the field of automobile engineering, in particular to a driving risk assessment method based on automobile positioning and comprehensive information big data.
Background
In the 2l century, with the increasing maturity of internet technology, people's daily life and study and work have changed. In the information age, people can not leave the support of the internet in daily life, with the rapid development of informatization, people generate a large amount of data while using computers more widely, the data are growing in exponential level, the back of the mass data hides great commercial value, but people recognize the problem but cannot meet the requirement of the analysis capability of large-scale data to mine potential value. Big Data (Big Data) has been increasingly referred to in recent years as the most popular IT term after cloud computing. With the rapid development of informatization, the data volume has increased to a new height, and big data can be used for vividly describing the massive data generated and accumulated in the information explosion age at present. Big data is generally considered to have 4V characteristics, namely, Velocity, Variety, Value, Volume. The big data technology is used for analyzing the intrinsic rules or trends and the like of massive and complex data by using a data processing method. The big data technology may bring great benefit and value to enterprises through data processing, data collection, perception and analysis and decision making based on data, so that each department in the industry puts certain attention to the big data technology. Under the background, the topic of the analysis, evaluation and decision system based on big data has great research significance and practical application value. The evaluation has great application value and research significance for various industries such as enterprises, education and the like. The rapid development of the economy has led to an increasingly competitive situation in all industries, which has led to higher and higher quality standards being required within the industry. How to establish criteria to evaluate the quality of the product is an urgent problem to be solved. The development of the evaluation system can help the evaluation department to comprehensively review and select various schemes by a system analysis method according to preset system targets so as to determine the optimal or suboptimal or satisfactory scheme. Since the system, the purpose of investigation, the resource conditions, and the like of each industry are different from each other, there is no uniform mode of evaluating the system. Evaluation criteria and evaluation methods for evaluation items are also different. The evaluation generally uses a corresponding index system, and according to certain program steps, comparison and analysis are carried out according to a standard, so as to make accurate and fair comprehensive judgment on the benefits and the achievement of the enterprise in a certain period of operation. The evaluation in which industry no matter which industry is, is not performed according to the above steps. Assessment is also the core in human resource management, performance assessment on employees can directly influence salaries, promotion and the like of the employees in future periods, and the performance assessment also directly influences the working attitude and the working performance of the employees, so that representative indexes can be selected and the performance assessment can be carried out by using a proper method, and the assessment is also important for the development of companies.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a driving risk assessment method based on automobile positioning and comprehensive information big data, which can solve the problems in the prior art.
In order to achieve the purpose, the invention provides a driving risk assessment method based on automobile positioning and comprehensive information big data, which is characterized by comprising the following steps:
collecting vital signs, driving information and automobile position information of a user by a portable mobile terminal;
sending the automobile position information to a safety evaluation platform;
determining the running speed of the automobile and the surrounding traffic conditions by the safety evaluation platform based on the automobile position information;
dividing users into a plurality of priorities based on the driving speed of the automobile and the surrounding traffic conditions;
sending a first request message to a user with high priority;
after the portable mobile terminal of the user with the high priority receives the first request message, sending the vital signs and the driving information of the user with the high priority to the safety assessment platform;
generating a driving risk assessment report for a high-priority user based on the vital signs and the driving information of the high-priority user;
and storing the driving risk assessment report aiming at the high-priority user, and sending an early warning message to the portable mobile terminal of the user with the high priority based on the driving risk assessment report aiming at the high-priority user.
In a preferred embodiment, after the early warning message is transmitted to the portable mobile terminal of the user having the high priority, the driving risk assessment method further includes:
sending a second request message to the user with the low priority;
after the portable mobile terminal of the user with the low priority receives the second request message, sending the vital signs and the driving information of the user with the low priority to the safety assessment platform;
generating a driving risk assessment report for a low-priority user based on the vital signs and the driving information of the user with the low priority;
and storing the driving risk assessment report for the low-priority user, and sending an early warning message to the portable mobile terminal of the user with the low priority based on the driving risk assessment report for the low-priority user.
In a preferred embodiment, the dividing of the user into a plurality of priorities based on the driving speed of the vehicle and the surrounding traffic conditions is specifically:
collecting accident reports for traffic accidents of different severity by a security assessment platform;
based on the accident report, utilizing big data analysis to establish the correlation between the severity of the traffic accident and the driving speed of the automobile and the surrounding traffic conditions;
judging the severity of the possible traffic accident and the occurrence probability of the possible traffic accident based on the received driving speed of the automobile and the surrounding traffic conditions;
the users are classified into a plurality of priorities based on the severity and occurrence probability of the traffic accident, wherein cars with high severity of the traffic accident that may occur are assigned a high priority.
In a preferred embodiment, the vital signs of the user comprise at least: blood pressure, blood oxygen and pulse, the driving information of the user at least comprises: current time, driving duration, decibels of noise, temperature in the vehicle, humidity in the vehicle, and air quality in the vehicle.
In a preferred embodiment, generating a driving risk assessment report for a high-priority user based on the vital signs and driving information of the high-priority user specifically includes:
carrying out parameterization processing on the current time;
obtaining a blood pressure change value, a blood oxygen change value and a pulse change value based on the blood pressure, the blood oxygen and the pulse and the previously received blood pressure, blood oxygen and pulse;
based on the accident report, establishing risk association between blood pressure, blood oxygen, pulse, blood pressure change value, blood oxygen change value, pulse change value and parameterized driving information of the user and driving risk by utilizing principal component analysis;
determining a driving risk for a high-priority user based on blood pressure, blood oxygen, pulse, a blood pressure change value, a blood oxygen change value, a pulse change value, parameterized user driving information, and risk association;
generating a driving risk assessment report for the high priority user based on the driving risk for the high priority user.
In a preferred embodiment, the driving risk assessment method includes:
after the portable mobile terminal of the user with the high priority receives the early warning message, the portable mobile terminal can send a buzzing alarm and a vibration prompt to the user based on the early warning message, and the portable mobile terminal can also send an instruction for adjusting the temperature and humidity in the automobile and an instruction for improving the quality of air in the automobile to the automobile.
In a preferred embodiment, the driving risk assessment method includes:
after the portable mobile terminal of the user with the high priority receives the early warning message, the portable mobile terminal can send an instruction for reducing the highest speed and an instruction for taking braking measures to the automobile based on the early warning message.
The invention also provides a driving risk assessment device based on the automobile positioning and the comprehensive information big data, which is characterized by comprising the following components:
a module for collecting vital signs, driving information and car location information of a user by a portable mobile terminal;
a module for sending the vehicle location information to a security assessment platform;
a module for determining, by the safety assessment platform, a driving speed of the automobile and surrounding traffic conditions based on the automobile location information;
a module for dividing the user into a plurality of priorities based on the traveling speed of the automobile and the surrounding traffic conditions;
means for sending a first request message to a user having a high priority;
a module for sending the vital signs and the driving information of the user with high priority to the safety assessment platform after the portable mobile terminal of the user with high priority receives the first request message;
means for generating a driving risk assessment report for a high priority user based on vital signs and driving information of the high priority user;
and the module is used for storing the driving risk assessment report aiming at the high-priority user and sending the early warning message to the portable mobile terminal of the user with the high priority based on the driving risk assessment report aiming at the high-priority user.
In a preferred embodiment, the driving risk assessment apparatus further includes:
means for sending a second request message to a user having a low priority;
a module for sending the vital signs and the driving information of the user with low priority to the safety assessment platform after the portable mobile terminal of the user with low priority receives the second request message;
means for generating a driving risk assessment report for a low priority user based on vital signs and driving information of the low priority user;
and the module is used for storing the driving risk assessment report aiming at the low-priority user and sending the early warning message to the portable mobile terminal of the user with the low priority based on the driving risk assessment report aiming at the low-priority user.
In a preferred embodiment, the module for generating a driving risk assessment report for a high priority user based on vital signs and driving information of the high priority user is further configured to:
carrying out parameterization processing on the current time;
obtaining a blood pressure change value, a blood oxygen change value and a pulse change value based on the blood pressure, the blood oxygen and the pulse and the previously received blood pressure, blood oxygen and pulse;
based on the accident report, establishing risk association between blood pressure, blood oxygen, pulse, blood pressure change value, blood oxygen change value, pulse change value and parameterized driving information of the user and driving risk by utilizing principal component analysis;
determining a driving risk for a high-priority user based on blood pressure, blood oxygen, pulse, a blood pressure change value, a blood oxygen change value, a pulse change value, parameterized user driving information, and risk association;
generating a driving risk assessment report for the high priority user based on the driving risk for the high priority user.
Compared with the prior art, the invention has the following advantages: at present, in some large and medium-sized cities, the holding quantity of private cars is continuously increased, and the holding quantity of the private cars is continuously increased, so that the number of potential users of the method and the device in the application is continuously increased. The inventor finds that if a method for fairly distributing transmission opportunities is used, the effect of preventing accidents is poor, and in view of the problem, the method of the present application considers the severity and occurrence probability of accidents during the driving process of a vehicle, and prioritizes the user transmission information first based on the severity and occurrence probability, and the user most likely to have an accident can have the highest priority of using a channel. Of course, when the vehicle position information is transmitted, the method for fairly distributing the transmission opportunity and the transmission priority still needs to be adopted, but the size of the data packet of the vehicle position information is small, and even if a plurality of users transmit the information at the same time, the channel congestion cannot be caused. According to the result of numerical simulation, compared with a method without considering the transmission priority, the scheme of the application can effectively avoid the occurrence of serious accidents.
The current prior art provides some driving risk assessment methods, which provide that driving risks are judged by considering factors such as physiological cycle, emotional state, personality, driving habits and the like of a driver, and the standard steps of the methods generally comprise that firstly, non-parametric indexes such as the physiological cycle, the emotional state, the personality and the driving habits are parameterized, and because information is inevitably lost in the parameterization process, how to design a reasonable and universal parameterization method is still a problem which is difficult to solve. For example, according to the inventor's research, the parameterization method for each non-parametric factor of middle-aged drivers is not applicable to young people. Secondly, the above method includes using these parameterized information to build driving risk relationships with physiological cycles, emotional states, characters, driving habits, and other factors. As mentioned above, since the above-mentioned parameterization method is unstable, the correspondence established thereby is also unstable. The reliability of the model decision result is questionable. The method provided by the application avoids a large-scale parameterization process for the factors, ensures that the information is not distorted or lost, and can ensure the relationship between scientific, objective and stable factors and risks.
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FIG. 1 is a flow diagram of a method according to an embodiment of the invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
FIG. 1 is a flow diagram of a method according to an embodiment of the invention. The driving risk assessment method comprises the following steps: step 101: collecting vital signs, driving information and automobile position information of a user by a portable mobile terminal; step 102: sending the automobile position information to a safety evaluation platform; step 103: determining the running speed of the automobile and the surrounding traffic conditions by the safety evaluation platform based on the automobile position information; step 104: dividing users into a plurality of priorities based on the driving speed of the automobile and the surrounding traffic conditions; step 105: sending a first request message to a user with high priority; step 106: after the portable mobile terminal of the user with the high priority receives the first request message, sending the vital signs and the driving information of the user with the high priority to the safety assessment platform; step 107: generating a driving risk assessment report for a high-priority user based on the vital signs and the driving information of the high-priority user; step 108: and storing the driving risk assessment report aiming at the high-priority user, and sending an early warning message to the portable mobile terminal of the user with the high priority based on the driving risk assessment report aiming at the high-priority user.
In a preferred embodiment, after the early warning message is transmitted to the portable mobile terminal of the user having the high priority, the driving risk assessment method further includes: sending a second request message to the user with the low priority; after the portable mobile terminal of the user with the low priority receives the second request message, sending the vital signs and the driving information of the user with the low priority to the safety assessment platform; generating a driving risk assessment report for a low-priority user based on the vital signs and the driving information of the user with the low priority; and storing the driving risk assessment report for the low-priority user, and sending an early warning message to the portable mobile terminal of the user with the low priority based on the driving risk assessment report for the low-priority user.
Based on the driving speed of the automobile and the surrounding traffic conditions, the method for dividing the user into a plurality of priorities specifically comprises the following steps: collecting accident reports for traffic accidents of different severity by a security assessment platform; based on the accident report, utilizing big data analysis to establish the correlation between the severity of the traffic accident and the driving speed of the automobile and the surrounding traffic conditions; judging the severity of the possible traffic accident and the occurrence probability of the possible traffic accident based on the received driving speed of the automobile and the surrounding traffic conditions; the users are classified into a plurality of priorities based on the severity and occurrence probability of the traffic accident, wherein cars with high severity of the traffic accident that may occur are assigned a high priority.
The vital signs of the user include at least: blood pressure, blood oxygen and pulse, the driving information of the user at least comprises: current time, driving duration, decibels of noise, temperature in the vehicle, humidity in the vehicle, and air quality in the vehicle.
Generating a driving risk assessment report for a high-priority user based on vital signs and driving information of the high-priority user specifically includes: carrying out parameterization processing on the current time; obtaining a blood pressure change value, a blood oxygen change value and a pulse change value based on the blood pressure, the blood oxygen and the pulse and the previously received blood pressure, blood oxygen and pulse; based on the accident report, establishing risk association between blood pressure, blood oxygen, pulse, blood pressure change value, blood oxygen change value, pulse change value and parameterized driving information of the user and driving risk by utilizing principal component analysis; determining a driving risk for a high-priority user based on blood pressure, blood oxygen, pulse, a blood pressure change value, a blood oxygen change value, a pulse change value, parameterized user driving information, and risk association; generating a driving risk assessment report for the high priority user based on the driving risk for the high priority user.
The driving risk assessment method comprises the following steps: after the portable mobile terminal of the user with the high priority receives the early warning message, the portable mobile terminal can send a buzzing alarm and a vibration prompt to the user based on the early warning message, and the portable mobile terminal can also send an instruction for adjusting the temperature and humidity in the automobile and an instruction for improving the quality of air in the automobile to the automobile.
The driving risk assessment method comprises the following steps: after the portable mobile terminal of the user with the high priority receives the early warning message, the portable mobile terminal can send an instruction for reducing the highest speed and an instruction for taking braking measures to the automobile based on the early warning message.
The portable mobile terminal can be an intelligent wearable device, such as an intelligent bracelet, wherein the intelligent bracelet can communicate with a mobile phone through Bluetooth, or the mobile phone can be used as a relay station to send messages to a base station, so that communication with a safety evaluation platform is realized. At present, methods for inferring blood pressure and blood oxygen through blood flow conditions exist, and the methods for measuring blood pressure and blood oxygen can be realized by downloading APP (application) on a mobile phone and then sending instruction information to an intelligent bracelet through the mobile phone. The method for establishing the correlation between the severity of the traffic accident, the driving speed of the automobile and the surrounding traffic conditions based on the accident report by utilizing big data analysis can be realized by the following method, for example, firstly collecting the accident report of the traffic accident in the past year by a platform (the accident report has important information such as the state of a driver, the speed of the automobile, the surrounding road conditions and the like; meanwhile, the accident report with different severity can be collected according to a certain standard without collecting all the accident reports), then manually extracting information or automatically extracting the information by utilizing machine semantic analysis, classifying the accident into a plurality of severity grades according to a certain standard, and finally establishing the correlation between the severity of the traffic accident and the driving speed of the automobile and the surrounding traffic conditions by utilizing a neural network algorithm.
At present, in some large and medium-sized cities, the holding quantity of private cars is continuously increased, and the holding quantity of the private cars is continuously increased, so that the number of potential users of the method and the device in the application is continuously increased. The inventor finds that if a method for fairly distributing transmission opportunities is used, the effect of preventing accidents is poor, and in view of the problem, the method of the present application considers the severity and occurrence probability of accidents during the driving process of a vehicle, and prioritizes the user transmission information first based on the severity and occurrence probability, and the user most likely to have an accident can have the highest priority of using a channel. Of course, when the vehicle position information is transmitted, the method for fairly distributing the transmission opportunity and the transmission priority still needs to be adopted, but the size of the data packet of the vehicle position information is small, and even if a plurality of users transmit the information at the same time, the channel congestion cannot be caused. According to the result of numerical simulation, compared with a method without considering the transmission priority, the scheme of the application can effectively avoid the occurrence of serious accidents.
The current prior art provides some driving risk assessment methods, which provide that driving risks are judged by considering factors such as physiological cycle, emotional state, personality, driving habits and the like of a driver, and the standard steps of the methods generally comprise that firstly, non-parametric indexes such as the physiological cycle, the emotional state, the personality and the driving habits are parameterized, and because information is inevitably lost in the parameterization process, how to design a reasonable and universal parameterization method is still a problem which is difficult to solve. For example, according to the inventor's research, the parameterization method for each non-parametric factor of middle-aged drivers is not applicable to young people. Secondly, the above method includes using these parameterized information to build driving risk relationships with physiological cycles, emotional states, characters, driving habits, and other factors. As mentioned above, since the above-mentioned parameterization method is unstable, the correspondence established thereby is also unstable. The reliability of the model decision result is questionable. The method provided by the application avoids a large-scale parameterization process for the factors, ensures that the information is not distorted or lost, and can ensure the relationship between scientific, objective and stable factors and risks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (1)
1. A driving risk assessment method based on automobile positioning and comprehensive information big data is characterized by comprising the following steps:
collecting vital signs, driving information and automobile position information of a user by a portable mobile terminal; sending the automobile position information to a safety assessment platform; wherein the portable mobile terminal is a smart band;
determining, by the safety assessment platform, a driving speed of the automobile and surrounding traffic conditions based on the automobile location information;
dividing users into a plurality of priorities based on the driving speed of the automobile and the surrounding traffic conditions;
sending a first request message to a user with high priority;
after the portable mobile terminal of the user with high priority receives the first request message, sending the vital signs and the driving information of the user with high priority to the safety assessment platform;
generating a driving risk assessment report for the high-priority user based on the vital signs and the driving information of the high-priority user;
storing the driving risk assessment report for the high priority user, and transmitting an early warning message to the portable mobile terminal of the user with high priority based on the driving risk assessment report for the high priority user,
after transmitting an early warning message to the portable mobile terminal of the user having the high priority, the driving risk assessment method further includes:
sending a second request message to the user with the low priority;
after the portable mobile terminal of the user with the low priority receives the second request message, sending the vital signs and the driving information of the user with the low priority to the safety assessment platform;
generating a driving risk assessment report for the low-priority user based on the vital signs and the driving information of the low-priority user;
storing the driving risk assessment report for the low priority user, and transmitting an early warning message to the portable mobile terminal of the user with low priority based on the driving risk assessment report for the low priority user,
based on the driving speed of the automobile and the surrounding traffic conditions, dividing the user into a plurality of priorities specifically comprises:
collecting, by the security assessment platform, accident reports for traffic accidents of different severity; establishing an interrelation between the severity of the traffic accident and the speed of the vehicle and surrounding traffic conditions using big data analysis based on the accident report;
judging the severity of the possible traffic accident and the occurrence probability of the possible traffic accident based on the received driving speed of the automobile and the surrounding traffic conditions;
classifying users into a plurality of priorities based on the severity and occurrence probability of the traffic accident, wherein cars with high severity of traffic accidents that may occur are assigned a high priority,
the vital signs of the user at least comprise: blood pressure, blood oxygen and pulse, the driving information of the user at least includes: current time, driving duration, decibels of noise, temperature in the vehicle, humidity in the vehicle, and air quality in the vehicle,
generating a driving risk assessment report for the high-priority user based on the vital signs and the driving information of the high-priority user specifically includes:
carrying out parameterization processing on the current time;
obtaining a blood pressure change value, a blood oxygen change value and a pulse change value based on the blood pressure, the blood oxygen and the pulse and the previously received blood pressure, blood oxygen and pulse;
establishing risk association between blood pressure, blood oxygen, pulse, blood pressure change value, blood oxygen change value, pulse change value and parameterized driving information of the user and driving risk by utilizing principal component analysis based on the accident report;
determining a driving risk for a high priority user based on blood pressure, blood oxygen, pulse, a blood pressure change value, a blood oxygen change value, a pulse change value, parameterized user driving information, and the risk association;
generating the driving risk assessment report for the high priority user based on the driving risk for the high priority user,
the driving risk assessment method includes:
after the portable mobile terminal of the user with the high priority receives the early warning message, the portable mobile terminal can send a buzzing alarm and a vibration prompt to the user based on the early warning message, and can also send an instruction for adjusting the temperature and humidity in the automobile and an instruction for improving the air quality in the automobile to the automobile, wherein the driving risk assessment method comprises the following steps:
after the portable mobile terminal of the user with the high priority receives the early warning message, the portable mobile terminal can send an instruction for reducing the highest speed and an instruction for taking braking measures to the automobile based on the early warning message.
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| CN110364257A (en) * | 2019-07-18 | 2019-10-22 | 泰康保险集团股份有限公司 | People's vehicle Risk Forecast Method, device, medium and electronic equipment |
| DE102019216074A1 (en) * | 2019-10-18 | 2021-04-22 | Robert Bosch Gmbh | Method for providing an object message about an object recognized in the surroundings of a road user in a communication network for communication with other road users |
| CN110910641A (en) * | 2019-12-02 | 2020-03-24 | 北京航空航天大学 | Neural network-based real-time risk assessment method for highway traffic operation |
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