CN106651719A - Body-area-network-based method and device for determining traffic accident liability - Google Patents
Body-area-network-based method and device for determining traffic accident liability Download PDFInfo
- Publication number
- CN106651719A CN106651719A CN201610998954.5A CN201610998954A CN106651719A CN 106651719 A CN106651719 A CN 106651719A CN 201610998954 A CN201610998954 A CN 201610998954A CN 106651719 A CN106651719 A CN 106651719A
- Authority
- CN
- China
- Prior art keywords
- traffic accident
- information
- traffic
- responsibility
- vehicles
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 206010039203 Road traffic accident Diseases 0.000 title claims abstract description 188
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000003542 behavioural effect Effects 0.000 claims description 9
- 238000003745 diagnosis Methods 0.000 abstract 1
- 230000006399 behavior Effects 0.000 description 17
- 238000004891 communication Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 6
- 230000009471 action Effects 0.000 description 4
- 239000008280 blood Substances 0.000 description 4
- 210000004369 blood Anatomy 0.000 description 4
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 3
- 230000036772 blood pressure Effects 0.000 description 3
- 230000036760 body temperature Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000008103 glucose Substances 0.000 description 3
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000035479 physiological effects, processes and functions Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 210000000707 wrist Anatomy 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 230000008665 sleep physiology Effects 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a body-area-network-based method and device for determining traffic accident liability. The method comprises: traffic accident party information collected by equipment in a body area network is obtained; vehicle information collected by a vehicle diagnosis system is obtained; and according to the traffic accident party information and the vehicle information, an analysis is carried out and traffic accident liability is determined. According to the body-area-network-based method, a traffic accident responsible person as well as traffic accident liability that the traffic accident responsible person needs to undertake can be determined accurately and effectively; and the user experience can be improved.
Description
Technical field
The present invention relates to traffic accident responsibility assert technical field, more particularly to a kind of traffic accident based on body area network is blamed
Appoint identification and device.
Background technology
At present, traffic accident responsibility identification be usually public security organ after traffic accident causation is found out, according to party's
Causality between act of violating regulations and traffic accident, and effect of the act of violating regulations in traffic accident, the friendship to party
Logical accident responsibility is assert.In inquiry traffic accident causation, when judging the act of party, usually artificially pass through accident
Situation, condition of road surface, surrounding enviroment, weather of field vehicle etc. are judging whether party has act of violating regulations to cause traffic
Accident, but this act of party that draws by way of inferring not complete and accurate, cause traffic accident responsibility identification
The degree of accuracy it is not high, reduce Consumer's Experience.
The content of the invention
The embodiment of the present invention provides a kind of traffic accident responsibility identification and device based on body area network, can be based on car
Interior personal information and information of vehicles more accurately and effectively carry out traffic accident responsibility identification, improve Consumer's Experience.
In a first aspect, the invention provides a kind of traffic accident responsibility identification based on body area network, including:
Obtain traffic accident party's information that the equipment in body area network is gathered;
Obtain the information of vehicles that vehicle diagnosing system is gathered;
It is analyzed according to the traffic accident party information, information of vehicles, judges traffic accident responsibility.
Preferably, the traffic accident party information includes driver information, Customer information, passerby's information.
Preferably, the driver information includes at least one of physiological data, driving behavior data of driver;
The Customer information includes the physiological data of passenger, takes at least one of behavioral data;
Passerby's information includes at least one of the physiological data of passerby, walking data.
Preferably, methods described also includes:
Obtain the traffic environment information that traffic accident occurs section;
It is analyzed according to the traffic accident party information, information of vehicles, traffic environment information, judges traffic accident
Responsibility.
Preferably, the judgement traffic accident responsibility is specifically included:Judge traffic accident responsibility people;Judge each traffic thing
Therefore the traffic accident responsibility of person liable.
Second aspect, the invention provides a kind of traffic accident responsibility recognizer based on body area network, including:
First acquisition module, for obtaining body area network in traffic accident party's information for being gathered of equipment;
Second acquisition module, for obtaining the information of vehicles that vehicle diagnosing system is gathered;
Analysis module, for being analyzed according to the traffic accident party information, information of vehicles, judges traffic accident
Responsibility.
Preferably, the traffic accident party information includes driver information, Customer information, passerby's information.
Preferably, the driver information includes at least one of physiological data, driving behavior data of driver;
The Customer information includes the physiological data of passenger, takes at least one of behavioral data;
Passerby's information includes at least one of the physiological data of passerby, walking data.
Preferably, described device also includes:
3rd acquisition module, for obtaining the traffic environment information that traffic accident occurs section;
The analysis module is specifically for according to the traffic accident party information, information of vehicles, traffic environment information
It is analyzed, judges traffic accident responsibility.
Preferably, the analysis module specifically for:
It is analyzed according to the traffic accident party information, information of vehicles, judges traffic accident responsibility people;
Judge the traffic accident responsibility of each traffic accident responsibility people.
Implement the embodiment of the present invention, can pass through to obtain traffic accident party's information that the equipment in body area network is gathered
The information of vehicles gathered with vehicle diagnosing system, is analyzed according to the traffic accident party information, information of vehicles, sentences
Disconnected traffic accident responsibility.Can accurately and efficiently be handed over by the traffic accident responsibility identification based on body area network
Interpreter's event confirmation of responsibility, improves Consumer's Experience.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of structural representation of body area network provided in an embodiment of the present invention.
Fig. 2 is a kind of flow chart of traffic accident responsibility identification based on body area network provided in an embodiment of the present invention.
Fig. 3 is the flow process of another kind of traffic accident responsibility identification based on body area network provided in an embodiment of the present invention
Figure.
Fig. 4 is a kind of structural representation of traffic accident responsibility recognizer based on body area network provided in an embodiment of the present invention
Figure.
Fig. 5 is that the structure of another kind of traffic accident responsibility recognizer based on body area network provided in an embodiment of the present invention is shown
It is intended to.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
It should be noted that the term for using in embodiments of the present invention be only merely for description specific embodiment mesh
, and it is not intended to be limiting the present invention." one of singulative used in the embodiment of the present invention and appended claims
Kind ", " described " and " being somebody's turn to do " are also intended to include most forms, unless context clearly shows that other implications.It is also understood that this
Term "and/or" used herein is referred to and associated any or all possible group that lists project comprising one or more
Close.
The embodiment of the invention discloses a kind of traffic accident responsibility identification and device based on body area network.For the ease of
The present invention is understood, the body area network in the embodiment of the present invention is described first.Refering to Fig. 1, Fig. 1 is enforcement of the present invention
A kind of structural representation of body area network that example is provided, the body area network is attached to a kind of network with human body, the body domain
Net includes:Communication equipment 110, BAN telegons 120.The communication equipment 110 be it is a set of it is compact it is removable, with communication function
Equipment, can be sensor, or human peripheral wearable device (be for example worn on finger tip blood oxygen transducer,
Wrist watch type blood glucose sensor, Wrist watch type sleep quality measuring instrument, sleep physiology detector, intelligent watch, Intelligent bracelet, Brilliant Eyes
Mirror etc.), or portable equipment (such as mobile phone, panel computer etc.), and inside of human body implantation equipment is (such as implantable
Type identification component etc.).The communication equipment 110 with monitored for prolonged periods of time and can be gathered, record human body health signal, human action
Signal, ambient signal or other kinds of signal, and the signal for collecting is converted into into digital information, transmission donor domain
The interior others communication equipments of net are transferred to external network by BAN telegons.In FIG, four kinds of communications are only enumerated
Equipment, in a practical situation, the communication equipment in the body area network generally has multiple.
The BAN telegons 120 are the network managers of body area network, are also the gateway between body area network and external network,
The BAN telegons can be such that data are safely transmitted, in the data that the equipment in needing acquisition body area network is gathered,
The data that equipment in the body area network is gathered are obtained by the BAN telegons.Between the communication equipment 110, it is described
Between communication equipment 110 and the BAN telegons by bluetooth, wifi, ZigBee or other wirelessly communicated.
In embodiments of the present invention, body area network described above can accurate acquisition to occupant's information, and then carry out
Traffic accident responsibility is assert.
Fig. 2 is referred to, Fig. 2 is a kind of traffic accident responsibility identification based on body area network provided in an embodiment of the present invention
Flow chart, the traffic accident party information that be gathered of equipment and vehicle that methods described can pass through to obtain in body area network examines
The information of vehicles that disconnected system is gathered, is analyzed according to the traffic accident party information, information of vehicles, judges traffic thing
Therefore responsibility.A kind of traffic accident responsibility identification based on body area network includes step S201-S203.
In step s 201, traffic accident party's information that the equipment in body area network is gathered is obtained.
Specifically, the traffic accident party uses body area network equipment, after it there is traffic accident, in the body area network
The information that collects of equipment can be used as the important evidence for judging traffic accident responsibility.
In the present embodiment, the traffic accident party information of stating is including driver information, Customer information, Lu Renxin
Breath, wherein, the driver information includes at least one of physiological data, driving behavior data of driver;The passenger
Information includes the physiological data of passenger, takes at least one of behavioral data;Passerby's information includes the physiology number of passerby
According to, walking at least one of data.
The driver information includes physiological data, the driving behavior data of driver.The physiological data of the driver
The physiologic informations such as enquirement, heart rate, pulse, blood pressure, internal alcohol content including driver, the physiological data energy of the driver
Enough driving conditions for directly reflecting driver when there is traffic accident.For example, if alcohol content is exceeded in driver's body, say
Bright driver's drunk driving;When driver is in fatigue state, corresponding physical signs also can change, and for example heart rate gradually drops with the time
It is low, when body temperature and respiratory rate are gradually increasing with the time, illustrate that driver is in fatigue driving state.Driver is in bad
When there occurs traffic accident in the case of driving condition, if be because the bad steering state of the driver and result in friendship
Interpreter's event, the bad steering state of the driver has played great effect in traffic accident, is to judge traffic accident responsibility
Important evidence.
Whether the driving behavior that the behavioral data of the driver directly reflects driver is good and observe traffic rules and regulations.
In driving procedure, driver bows, being answered the call with hand belongs to bad steering behavior, and the communication equipment in the body area network can
To gather the action signal of driver, i.e. driving behavior data, may determine that driver exists according to the driving behavior data
Whether bow in driving procedure, answered the call with hand or other bad steering behaviors.Driver has bad steering behavior
In the case of when there occurs traffic accident, if be because that institute's bad steering behavior result in traffic accident, the driver
Bad steering behavior whether work in traffic accident, and the bad steering behavior of the driver is in traffic accident
The order of severity be judge traffic accident responsibility important evidence.
The Customer information includes the physiological data of passenger, takes behavioral data.In the case of having passenger in vehicle, take advantage of
The physiological situation of visitor and take behavior and be also possible to that the generation of traffic accident can be caused.The physiological data of the passenger includes passenger
The physical signs such as heart rate, blood pressure, body temperature, blood glucose value, by the contrast with normal physiological index, it can be determined that whether passenger goes out
Existing sudden illness or other situations.For example, in the case where sudden illness occurs in passenger, driver may
Drive vehicle and overtake other vehicles, turn around or take other emergency measures suddenly, if there occurs traffic accident in this case, institute
The physiological data for stating passenger is also the important evidence for judging traffic accident responsibility.The body area network can also gather the action of passenger
Signal, i.e. passenger take behavioral data, and the passenger's take whether behavioral data has interference driver to drive including passenger
The behavior of vehicle, including touching driver's body situation such as cause the driving condition of vehicle to be mutated.For concrete example, if taking advantage of
Objective severe jamming driver there occurs traffic accident in the case of driving, hence it is evident that the passenger should undertake certain traffic accident
Responsibility.
The pedestrian information includes at least one of the physiological data of pedestrian, walking data.The physiology number of the pedestrian
According to physical signs such as heart rate, blood pressure, body temperature, the blood glucose values including pedestrian, by the contrast with normal physiological index, it can be determined that
Whether pedestrian there is sudden illness or other situations.For concrete example, if having, pedestrian is on the way sudden to faint, that
The vehicle travelled on road may bring to a halt, and cause traffic accident, but such traffic accident is not by driver or car
The reason for cause, therefore, the physiological data of pedestrian is also the important evidence for judging traffic accident responsibility.The body area network is also
The walking data of the action signal of pedestrian, i.e. pedestrian can be gathered, including whether pedestrian makes a dash across the red light, takes the walking number such as driveway
According to for concrete example, if there is pedestrian running red light, then the vehicle travelled on road can bring to a halt, and cause traffic accident, but so
Traffic accident not by driver or vehicle the reason for cause, but do not observe traffic rules and regulations what is caused by pedestrian,
In this case, the pedestrian should undertake certain traffic accident responsibility.Therefore, the walking data of pedestrian are also to judge traffic
The important evidence of accident responsibility.
In step S202, the information of vehicles that vehicle diagnosing system is gathered is obtained.
Specifically, the vehicle diagnosing system can be OBD (On Board Diagnostic, onboard diagnostic system),
Can be other vehicle diagnostic equipments.The information of vehicles includes at least in vehicle essential information, vehicle traveling information
It is individual.The vehicle can be obtained including essential informations such as car speed, acceleration, acceleration by the vehicle diagnosing system,
By the change of the vehicle essential information, it can be determined that driver whether have hypervelocity, bring to a halt, take a sudden turn, the anxious row such as accelerate
For.
The vehicle traveling information such as information such as vehicle position information, route or travel by vehicle is also obtained by vehicle diagnosing system
.Concrete traveling of the vehicle when there is traffic accident may determine that by the vehicle position information, route or travel by vehicle etc.
Situation.For concrete example, when vehicle is travelled, driver departs from major trunk roads for sensation seeking, during driving, in non-rice habitats area
Domain travels, if there is traffic accident in this case, hence it is evident that driver should undertake traffic accident responsibility.Therefore, vehicle row
The information of sailing is the key factor for judging traffic accident responsibility.
In step S203, it is analyzed according to the traffic accident party information, information of vehicles, judges traffic accident
Responsibility.
In the present embodiment, can show that traffic accident is worked as according to the traffic accident party information, information of vehicles
The behavior of thing people, obtains the evidence of traffic accident.The reason for analysis causes traffic accident, and judge the row of traffic accident party
It is whether generation traffic accident is worked, and then defines the traffic accident responsibility people in traffic accident party;Judge traffic
The order of severity of the wrong of accident responsibility people in traffic accident, and then confirm the traffic of different traffic accident responsibility people
Accident responsibility.
For concrete example, because side's traffic accident act of party causes road traffic accident, whole duties are undertaken
Appoint;Because two sides or two side's above traffic accident acts of party occur road traffic accident, according to its behavior to accident
The effect of generation and the order of severity of mistake, bear the main responsibility respectively, equal responsibility and secondary responsibility;Each side's nothing causes
The mistake of road traffic accident, belongs to Traffic Accidents, the equal no responsibility of each side.
Above-mentioned to understand, a kind of traffic accident responsibility identification based on body area network in the embodiment of the present invention is by obtaining
The traffic accident party information that equipment in body area network is gathered and the information of vehicles that vehicle diagnosing system is gathered, according to institute
State traffic accident party's information, information of vehicles to be analyzed, judge traffic accident responsibility.Methods described can be with accurate and effective
Ground judges the traffic accident responsibility that traffic accident responsibility people and each traffic accident responsibility people should undertake, and improves user's body
Test.
Fig. 3 is referred to, Fig. 3 is another kind of traffic accident responsibility identification side based on body area network provided in an embodiment of the present invention
The flow chart of method, methods described includes step S301-S304, it is to be understood that the step in embodiment of the method shown in above-mentioned Fig. 2
Rapid S201-S202 can also be applied in step S301-S302 in the present embodiment, be will not be described here.
In step S301, traffic accident party's information that the equipment in body area network is gathered is obtained.
In step s 302, the information of vehicles that vehicle diagnosing system is gathered is obtained.
In step S303, the traffic environment information that traffic accident occurs section is obtained.
Specifically, in the present embodiment, the traffic environment information includes that traffic accident occurs the road information in section
Traffic shape when (whether having barrier on road, whether road is occupied situations such as causing vehicle impassable), accident occur
Condition (situations such as whether accident generation section blocks up), the traffic environment information can be by relevant departments after traffic accident generation
Site inspection is obtained, it is also possible to obtained by the monitoring device on road, and the traffic accident occurs the traffic environment in section
The generation of traffic accident can be caused, defining for traffic accident responsibility is affected.For concrete example, when having on road, naked eyes are invisible
Barrier is obtained, suddenly change direction of traffic causes traffic accident when causing vehicle to travel, need to consider road feelings in this case
Condition is defining the traffic accident responsibility of driver.
In other embodiments, the information such as weather condition, surrounding enviroment when traffic accident occurs can also be obtained, and
It is analyzed with reference to the traffic accident party information, information of vehicles, traffic environment information, weather condition, surrounding enviroment etc..
When traffic accident occurs, people, vehicle, road, environment are all interactive relations, consider various factors, Neng Gougeng
Plus judge traffic accident responsibility exactly.
In step s 304, carried out point according to the traffic accident party information, information of vehicles, traffic environment information
Analysis, judges traffic accident responsibility.
In the present embodiment, carried out point according to the traffic accident party information, information of vehicles, traffic environment information
Analysis, determines the traffic accident responsibility people in traffic accident party, and the traffic accident responsibility of each traffic accident responsibility people.
Above-mentioned to understand, a kind of traffic accident responsibility identification based on body area network in the embodiment of the present invention is by obtaining
Information of vehicles and traffic that traffic accident party's information that equipment in body area network is gathered, vehicle diagnosing system are gathered
Environmental information, is analyzed according to the traffic accident party information, information of vehicles, traffic environment information, judges traffic thing
Therefore responsibility.Methods described can accurately and efficiently judge that traffic accident responsibility people and each traffic accident responsibility people should hold
The traffic accident responsibility of load, improves Consumer's Experience.
Fig. 4 is referred to, Fig. 4 is that a kind of traffic accident responsibility identification based on body area network provided in an embodiment of the present invention is filled
Put, described device 400 can pass through to obtain traffic accident party information and the vehicle diagnostics that the equipment in body area network is gathered
The information of vehicles that system is gathered, is analyzed according to the traffic accident party information, information of vehicles, judges traffic accident
Responsibility.A kind of traffic accident responsibility recognizer based on body area network is included with lower module:
First acquisition module 410, for obtaining body area network in traffic accident party's information for being gathered of equipment.
Second acquisition module 420, for obtaining the information of vehicles that vehicle diagnosing system is gathered.
Analysis module 430, for being analyzed according to the traffic accident party information, information of vehicles, judges traffic
Accident responsibility.
It is understood that the function of each functional module of the device of the present embodiment can according to above-mentioned Fig. 2 method reality
The method applied in example is implemented, and it implements the associated description that process is referred to said method embodiment, herein no longer
Repeated.
Above-mentioned to understand, a kind of traffic accident responsibility recognizer based on body area network in the embodiment of the present invention is by obtaining
The information of vehicles that traffic accident party's information that equipment in body area network is gathered, vehicle diagnosing system are gathered, according to institute
State traffic accident party's information, information of vehicles to be analyzed, judge traffic accident responsibility.Described device can be with accurate and effective
Ground judges the traffic accident responsibility that traffic accident responsibility people and each traffic accident responsibility people should undertake, and improves user's body
Test.
Fig. 5 is referred to, another kind of traffic accident responsibility identification based on body area network provided in an embodiment of the present invention during Fig. 5 is filled
Put, described device 500 is included with lower module:
First acquisition module 510, for obtaining body area network in traffic accident party's information for being gathered of equipment.
Second acquisition module 520, for obtaining the information of vehicles that vehicle diagnosing system is gathered.
3rd acquisition module 530, for obtaining the traffic environment information that traffic accident occurs section.
Analysis module 540, for being carried out according to the traffic accident party information, information of vehicles, traffic environment information
Analysis, judges traffic accident responsibility.
It is understood that the function of each functional module of the device of the present embodiment can according to above-mentioned Fig. 3 method reality
The method applied in example is implemented, and it implements the associated description that process is referred to said method embodiment, herein no longer
Repeated.
Above-mentioned to understand, a kind of traffic accident responsibility recognizer based on body area network in the embodiment of the present invention is by obtaining
Information of vehicles and traffic that traffic accident party's information that equipment in body area network is gathered, vehicle diagnosing system are gathered
Environmental information, is analyzed according to the traffic accident party information, information of vehicles, traffic environment information, judges traffic thing
Therefore responsibility.Described device can accurately and efficiently judge that traffic accident responsibility people and each traffic accident responsibility people should hold
The traffic accident responsibility of load, improves Consumer's Experience.
One of ordinary skill in the art will appreciate that realizing all or part of flow process in above-described embodiment method, can be
Related hardware is instructed to complete by computer program, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Above disclosed is only a kind of preferred embodiment of the invention, can not limit the power of the present invention with this certainly
Sharp scope, one of ordinary skill in the art will appreciate that all or part of flow process of above-described embodiment is realized, and according to present invention power
Profit requires made equivalent variations, still falls within the covered scope of invention.
Claims (10)
1. a kind of traffic accident responsibility identification based on body area network, it is characterised in that include:
Obtain traffic accident party's information that the equipment in body area network is gathered;
Obtain the information of vehicles that vehicle diagnosing system is gathered;
It is analyzed according to the traffic accident party information, information of vehicles, judges traffic accident responsibility.
2. method according to claim 1, it is characterised in that the traffic accident party information includes driver's letter
Breath, Customer information, passerby's information.
3. method according to claim 2, it is characterised in that
The driver information includes at least one of physiological data, driving behavior data of driver;
The Customer information includes the physiological data of passenger, takes at least one of behavioral data;
The pedestrian information includes at least one of the physiological data of pedestrian, walking data.
4. method according to claim 1, it is characterised in that methods described also includes:
Obtain the traffic environment information that traffic accident occurs section;
It is analyzed according to the traffic accident party information, information of vehicles, traffic environment information, judges that traffic accident is blamed
Appoint.
5. method according to claim 1, it is characterised in that the judgement traffic accident responsibility is specifically included:
Judge traffic accident responsibility people;
Judge the traffic accident responsibility of each traffic accident responsibility people.
6. a kind of traffic accident responsibility recognizer based on body area network, it is characterised in that include:
First acquisition module, for obtaining body area network in traffic accident party's information for being gathered of equipment;
Second acquisition module, for obtaining the information of vehicles that vehicle diagnosing system is gathered;
Analysis module, for being analyzed according to the traffic accident party information, information of vehicles, judges that traffic accident is blamed
Appoint.
7. device according to claim 6, it is characterised in that the traffic accident party information includes driver's letter
Breath, Customer information, passerby's information.
8. device according to claim 7, it is characterised in that
The driver information includes at least one of physiological data, driving behavior data of driver;
The Customer information includes the physiological data of passenger, takes at least one of behavioral data;
Passerby's information includes at least one of the physiological data of passerby, walking data.
9. device according to claim 6, it is characterised in that described device also includes:
3rd acquisition module, for obtaining the traffic environment information that traffic accident occurs section;
The analysis module according to the traffic accident party information, information of vehicles, traffic environment information specifically for carrying out
Analysis, judges traffic accident responsibility.
10. device according to claim 6, it is characterised in that the analysis module specifically for:
It is analyzed according to the traffic accident party information, information of vehicles, judges traffic accident responsibility people;
Judge the traffic accident responsibility of each traffic accident responsibility people.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610998954.5A CN106651719A (en) | 2016-11-10 | 2016-11-10 | Body-area-network-based method and device for determining traffic accident liability |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610998954.5A CN106651719A (en) | 2016-11-10 | 2016-11-10 | Body-area-network-based method and device for determining traffic accident liability |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106651719A true CN106651719A (en) | 2017-05-10 |
Family
ID=58805868
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610998954.5A Pending CN106651719A (en) | 2016-11-10 | 2016-11-10 | Body-area-network-based method and device for determining traffic accident liability |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106651719A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110147946A (en) * | 2019-04-30 | 2019-08-20 | 深圳市元征科技股份有限公司 | A kind of data analysing method and device |
CN110738842A (en) * | 2018-07-18 | 2020-01-31 | 阿里巴巴集团控股有限公司 | Accident responsibility division and behavior analysis method, device, equipment and storage medium |
CN111161533A (en) * | 2019-12-04 | 2020-05-15 | 支付宝(杭州)信息技术有限公司 | Traffic accident processing method and device and electronic equipment |
CN115691118A (en) * | 2022-09-27 | 2023-02-03 | 宁波均胜智能汽车技术研究院有限公司 | Traffic accident analysis method and device, intelligent vehicle and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003040061A (en) * | 2001-07-30 | 2003-02-13 | Mazda Motor Corp | Vehicle accident analysis device |
CN103065371A (en) * | 2012-12-03 | 2013-04-24 | 深圳市元征科技股份有限公司 | Traffic accident responsibility definition method |
CN105564436A (en) * | 2016-02-24 | 2016-05-11 | 深圳市中天安驰有限责任公司 | Advanced driver assistance system |
CN106101628A (en) * | 2016-06-30 | 2016-11-09 | 深圳市元征科技股份有限公司 | The method of a kind of car accident process and terminal |
-
2016
- 2016-11-10 CN CN201610998954.5A patent/CN106651719A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003040061A (en) * | 2001-07-30 | 2003-02-13 | Mazda Motor Corp | Vehicle accident analysis device |
CN103065371A (en) * | 2012-12-03 | 2013-04-24 | 深圳市元征科技股份有限公司 | Traffic accident responsibility definition method |
CN105564436A (en) * | 2016-02-24 | 2016-05-11 | 深圳市中天安驰有限责任公司 | Advanced driver assistance system |
CN106101628A (en) * | 2016-06-30 | 2016-11-09 | 深圳市元征科技股份有限公司 | The method of a kind of car accident process and terminal |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110738842A (en) * | 2018-07-18 | 2020-01-31 | 阿里巴巴集团控股有限公司 | Accident responsibility division and behavior analysis method, device, equipment and storage medium |
CN110147946A (en) * | 2019-04-30 | 2019-08-20 | 深圳市元征科技股份有限公司 | A kind of data analysing method and device |
CN111161533A (en) * | 2019-12-04 | 2020-05-15 | 支付宝(杭州)信息技术有限公司 | Traffic accident processing method and device and electronic equipment |
CN111161533B (en) * | 2019-12-04 | 2021-11-02 | 支付宝(杭州)信息技术有限公司 | Traffic accident processing method and device and electronic equipment |
CN115691118A (en) * | 2022-09-27 | 2023-02-03 | 宁波均胜智能汽车技术研究院有限公司 | Traffic accident analysis method and device, intelligent vehicle and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Carsten et al. | Vehicle-based studies of driving in the real world: The hard truth? | |
Ziakopoulos et al. | A critical overview of driver recording tools | |
Vhaduri et al. | Estimating drivers' stress from GPS traces | |
CN115179960B (en) | A multi-source data acquisition system and method for comprehensive monitoring of human and vehicle status | |
CN106651719A (en) | Body-area-network-based method and device for determining traffic accident liability | |
Bakhit et al. | Crash and near-crash risk assessment of distracted driving and engagement in secondary tasks: a naturalistic driving study | |
Cheng | Do cell phone bans change driver behavior? | |
Samuel et al. | Ethical decision making behind the wheel–a driving simulator study | |
Verma et al. | Avoiding stress driving: Online trip recommendation from driving behavior prediction | |
Chang et al. | Formulating accident occurrence as a survival process | |
Mohammed et al. | A landscape of research on bus driver behavior: taxonomy, open challenges, motivations, recommendations, limitations, and pathways solution in future | |
Deng et al. | An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving | |
CN106651589A (en) | Vehicle insurance charging method based on body area network and apparatus thereof | |
Yang et al. | Hierarchical task analysis for driving under divided attention | |
Winter et al. | Assessing pedestrians' perceptions and willingness to interact with autonomous vehicles | |
Różanowski et al. | Architecture of car measurement system for driver monitoring | |
Wong et al. | Modeling driver mental workload for accident causation and prevention | |
Szumska et al. | Preliminary driving style classification of the professional drivers | |
Fasanmade et al. | Context-aware driver distraction severity classification using lstm network | |
Horberry et al. | Fatigue detection technologies for drivers: a review of existing operator-centred systems | |
Castro | Visual demands and driving | |
Zhang et al. | Bench-marking drivers' visual and cognitive demands: a feasibility study | |
Gordon et al. | Driver distraction and inattention and their role in crashes and safety-critical events | |
Boyle | 23 Techniques for Making Sense of Behavior in Complex Datasets | |
Peulić et al. | Locating and categorizing causes of discomfort during transport of patients to medical facilities |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170510 |
|
RJ01 | Rejection of invention patent application after publication |