CN109934457A - A kind of methods of risk assessment based in Wang Yue garage journey - Google Patents
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Abstract
A kind of methods of risk assessment based in Wang Yue garage journey provided by the invention, determine the Risk Assessment Index System influenced in the net about trip of vehicle trip risk, resettle the measurement mathematical model of indices, determine the weighted value of indices, during passenger's trip, collect related various parameter values during going on a journey, it substitutes into predetermined model, obtain current risk assessment score, and compare risk assessment table, obtain the risk conclusion of trip overall process, and it is sent to passenger, emergency contact, management or law enforcement agency, give the vigilant and sufficient reaction time of passenger or relevant departments, prevention is carried out in advance or rescue prepares, ensure the safety of passenger；This method can accomplish to prevent trouble before it happens, and can not only ensure the safety of net about vehicle to passenger or the reaction time of driver's abundance, can also save consumed manpower after the accident, material resources.
Description
Technical field
The present invention relates to risk assessment field more particularly to a kind of methods of risk assessment based in Wang Yue garage journey.
Background technique
Net about vehicle, this mobile Internet and the combination product for sharing economy, bring earth-shaking to people's lives
Variation, it has broken the intrinsic thinking of traditional formula taxi of cruising, and allowing people to enjoy whenever and wherever possible can be quick, easily
Dial-a-cab.
Summary of the invention
The purpose of the present invention is to provide a kind of methods of risk assessment based in Wang Yue garage journey, solve the prior art
Present in deficiency.
In order to achieve the above object, the technical solution adopted by the present invention is that:
A kind of methods of risk assessment based in Wang Yue garage journey provided by the invention, comprising the following steps:
S1 determines the net about Risk Assessment Index System of vehicle trip on the way；
S2 calculates the measurement of every evaluation index in the Risk Assessment Index System in S1；
S3 determines the weight of the Risk Assessment Index System items evaluation index in S1 according to AHP；
S4, the security information during acquisition passenger's trip；
S5 calculates the quantized value of passenger's trip risk evaluation index value according to S2 and S4；
S6 calculates passenger's trip value-at-risk according to S3 and S5；
S7 calculates driving safety value-at-risk according to S3 and S5；
S8 calculates traveling abnormal risk value according to S3 and S5；
S9 calculates the overall risk assessed value of passenger's trip on the way according to S6, S7 and S8.
Preferably, in S1, the net about Risk Assessment Index System of vehicle trip on the way includes three-level index, is respectively:
First class index: U=(u1,u2,u3)=(trip risk, driving safety risk travel abnormal risk)；
Two-level index: u1=(u11,u12,u13Travel time)=(information, traffic path information, Customer information), u2=
(u21,u22,u23)=(vehicle speed information, direction information, driving behavior information lack of standardization), u3=(u31,u32)=(vehicle abnormality shape
State information, flash appeal information)；
Three-level index: u11=(u1 11, u2 11)=(trip period risk Ra, travel time abnormality degree Rb),
Preferably, in S2, go on a journey risk indicator u1Including period risk of going on a journeyTravel time abnormality degreeRoad vehicle density riskTraffic path irrelevancePatronage risk factorWith
Passenger drinks value-at-riskWherein:
Trip period riskExpression formula:
Wherein, xaFor current time；b1And b2Value is the meridian hour, and value range is 12-14；c1And c2To be
Number, according to the variation value of density of stream of people, value are as follows: c1=4-8, c2=20-23；
Travel time abnormality degreeExpression formula:
In formula, xbFor practical duration of going on a journey, unit: minute；xcFor estimated duration of going on a journey, unit: minute；
Road vehicle density riskExpression formula:
In formula, xdFor present road vehicle flowrate, unit :/minute；xeFor current driving area judging value, in for city
When take 1, otherwise take 0；
Traffic path irrelevanceExpression formula:
In formula, xfFor the distance of vehicle driving, unit: km；L1For traveling identical with navigation default route in driving process
Distance, unit: km；
Patronage risk factorExpression formula:
In formula, xqFor the number of passenger, unit: people；
Passenger drinks value-at-riskExpression formula:
In formula, xsFor passenger's Alcohol Consumption Status parameter, 1 is taken when passenger drinks, otherwise takes 0；
Driving safety risk indicator includes acceleration riskDeceleration riskRacing is to riskRacing is to number riskOne hand drive riskWith driving communication riskIts
In:
Acceleration riskExpression formula:
In formula, xgFor average acceleration of vehicle in this trip, unit: m/s2；
Deceleration riskExpression formula:
In formula, xhFor available vehicel deceleration in this trip, unit: m/s2；
Racing is to riskExpression formula:
In formula, xiRefer to average overall travel speed of the vehicle within 5 second time, unit: km/h；xjRefer to vehicle in 5 second time expert
The angle of direction change is sailed, unit: degree；
Racing is to number riskExpression formula:
In formula, xkIt is this trip racing to number, unit: secondary；
One hand drive riskExpression formula:
In formula, xtFor the duration of driver's one hand drive, unit: s；
Driving communication riskExpression formula:
In formula, xuFor driver's call condition parameter, when detecting that driver is making a phone call, xuValue is 1, is otherwise 0；
Travelling abnormal risk index includes speed exception ratioVehicle abnormality stateWith passenger or promptly
Contact person seeks help rateWherein:
Speed exception ratioExpression formula:
In formula, xlFor vehicle current driving speed, unit: km/h；v1It is averaged flow speeds for present road, unit: km/
h；
Vehicle abnormality stateExpression formula:
In formula, xoFor vehicle abnormality state parameter, when alarm occurs for vehicle-state real-time monitoring sensor, value 1,
It otherwise is 0；
Passenger or emergency contact seek help rateExpression formula:
In formula, xpThe number of seeking help for being passenger or emergency contact in stroke, unit: secondary.
Preferably, in S4, the security information during acquisition passenger's trip includes trip current time, x momenta, trip it is real
Border duration xb, the estimated duration x of tripc, present road vehicle flowrate xd, current driving area judging value xe, vehicle driving distance
xf, operating range L identical with navigation default route in driving process1, passenger number xq, passenger's Alcohol Consumption Status parameter xs、
Average acceleration of vehicle xg, available vehicel deceleration xh, average overall travel speed x of the vehicle within 5 second timei, vehicle is at 5 seconds
The angle x that interior driving direction changesj, racing is to number xk, driver's one hand drive duration xt, driver converse condition parameter
xu, vehicle current driving speed xl, present road is averaged flow speeds v1, vehicle abnormality state parameter xoWith passenger or urgent connection
It is seek help number x of the people in strokep。
Preferably, in S5, the specific method for calculating the quantization of passenger's trip risk evaluation index value is: will be in step S4
Collected each risk assessment indication information substitutes into the risk assessment index model determined in step S2, calculates all kinds of fingers
Target risk assessment value carries out quantization operation.
Preferably, in S6, passenger's trip value-at-risk B is calculated according to formula (19)1:
B1=w11×B11+w12×B12+w13×B13 (19)
Wherein, travel time Information Risk B11It indicates are as follows:Traffic path Information Risk B12
It indicates are as follows:Customer information risk B13It indicates are as follows:
Preferably, in S7, driving safety value-at-risk B is calculated according to formula (20)2:
B2=w21×B21+w22×B22+w23×B23 (20)
Wherein, vehicle speed information risk B21It indicates are as follows:Direction information risk B22It indicates are as follows:Driving behavior Information Risk B lack of standardization23It indicates are as follows:
Preferably, in S8, traveling abnormal risk value B is calculated according to formula (21)3:
B3=w31×B31+w32×B32 (21)
Wherein, vehicle abnormality status information risk B31It indicates are as follows:Flash appeal information wind
Dangerous B32It indicates are as follows:
Preferably, in S9, the overall risk assessed value B of passenger's trip on the way is calculated according to formula (22):
B=w1×B1+w2×B2+w3×B3 (22)
Wherein, as B < 0.4, then risk class is set as the trip that is free from risk；As 0.4≤B < 0.55, then risk class
It is set as low-risk trip；As 0.55≤B < 0.7, then risk class is set as medium risk trip；As B >=0.7, then
Risk class is set as high risk trip.
Compared with prior art, the beneficial effects of the present invention are:
A kind of methods of risk assessment based in Wang Yue garage journey provided by the invention, determining influences net about vehicle trip risk
Trip in Risk Assessment Index System, resettle the measurement mathematical model of indices, determine the weight of indices
Value collects related various parameter values during trip, substitutes into predetermined model, obtain during passenger's trip
Current risk assessment score out, and compare risk assessment table obtains the risk conclusion of trip overall process, and be sent to passenger,
Emergency contact, management or law enforcement agency give the vigilant and sufficient reaction time of passenger or relevant departments, do in advance
Good prevention or rescue prepare, and ensure the safety of passenger；This method can accomplish to prevent trouble before it happens, can not only to passenger or
It in the reaction time of driver's abundance, has ensured the safety of net about vehicle, can also save consumed manpower after the accident, material resources.
Detailed description of the invention
The Risk Assessment Index System of Fig. 1 net about vehicle before travel；
Fig. 2 risk evaluating method process.
Specific embodiment
With reference to the accompanying drawing, the present invention is described in more detail.
The operation principle of the present invention is that: the risk assessment influenced in the net about trip of vehicle trip risk is determined by statistic law
Index system determines the weighted value of indices, in passenger as shown in Figure 1, resettling the measurement mathematical model of indices
During trip, related various parameter values during trip are collected, substitutes into predetermined model, obtains current
Risk assessment score, and risk assessment table is compareed, the risk conclusion of trip overall process is obtained, and be sent to passenger, emergency contact
The vigilant and sufficient reaction time of passenger or relevant departments is given by people, management or law enforcement agency, carry out in advance prevention or
Rescue prepares, and ensures the safety of passenger.
As shown in Fig. 2, a kind of methods of risk assessment based in Wang Yue garage journey provided by the invention, including following step
It is rapid:
Step S1 determines network about vehicle trip Risk Assessment Index System on the way: being deposited on the way by statistic law statistics trip
Risk category, and Risk Assessment Index System building principle is followed, by the obtained trip of statistics existing risk kind on the way
Class is classified, and establishes the net about Risk Assessment Index System of vehicle trip on the way, the system including three-level as shown in Figure 1, refer to
Mark is respectively:
First class index: U=(u1,u2,u3)=(trip risk, driving safety risk travel abnormal risk)；
Two-level index: u1=(u11,u12,u13Travel time)=(information, traffic path information, Customer information)； u2=
(u21,u22,u23)=(vehicle speed information, direction information, driving behavior information lack of standardization)；u3=(u31,u32)=(vehicle abnormality shape
State information, flash appeal information)；
Three-level index: u11=(u1 11, u2 11)=(trip period risk Ra, travel time abnormality degree Rb)；
Step S2 calculates the measurement of every evaluation index in the Risk Assessment Index System established in step S1:
Go on a journey risk indicator u1Including period risk of going on a journeyTravel time abnormality degreeRoad wagon flow is close
Spend riskTraffic path irrelevancePatronage risk factorIt drinks value-at-risk with passenger
Trip period riskExpression formula:
By statistic law obtain daybreak, density of stream of people it is high after, trip risk is lower, thus using pair Sigmoid functions come
Measure the travel time risk of passenger:
Wherein, xaFor current time；b1And b2Value is the meridian hour, generally 12-14；c1And c2For coefficient, value can
According to the variation value of density of stream of people, its value is set are as follows: c1=4-8 and c2=20-23, Various Seasonal or area can be according to realities
Border optimizes value.
Travel time abnormality degreeExpression formula:
When practical travel time and predetermined travel time it is inconsistent when, no matter it is too long or it is too short be all it is dangerous, it is too long
There is unusual condition when representing trip, it is too short, show that speed is excessively high:
In formula, xbFor practical duration of going on a journey, unit: minute；xcFor estimated duration of going on a journey, unit: minute.
Road vehicle density riskExpression formula:
When obtaining that vehicle density is too small on road by statistic law, then the region is remoter or flow of the people is few, is easy to cause
The generation of accident:
In formula, xdFor present road vehicle flowrate, unit :/minute；xeFor current driving area judging value, in for city
When take 1, otherwise take 0.
Traffic path irrelevanceExpression formula:
Obtained by statistic law, traffic route and navigation default route deviate it is excessive when, then it represents that this time trip danger level compared with
It is high:
In formula, xfFor the distance of vehicle driving, unit: km；L1For traveling identical with navigation default route in driving process
Distance, unit: km；
Patronage risk factorExpression formula:
It is obtained by statistic law, when the trip number difference of passenger, then the safety gone on a journey also can be different:
In formula, xqFor the number of passenger, unit: people.
Passenger drinks value-at-riskExpression formula:
It is obtained by statistic law, when going on a journey after passenger drinks, then risk of going on a journey can greatly improve:
In formula, xsFor passenger's Alcohol Consumption Status parameter, 1 is taken when passenger drinks, otherwise takes 0.
Driving safety risk indicator includes: acceleration riskDeceleration riskRacing is to riskRacing is to number riskOne hand drive riskWith driving communication riskWherein:
Acceleration riskExpression formula:
When vehicle acceleration is excessive, then the generation of accident is easy to cause:
In formula, xgFor average acceleration of vehicle in this trip, unit: m/s2。
Deceleration riskExpression formula:
It is similar with acceleration risk, when vehicle deceleration is excessive, then shows that driver's brake is too urgent, be easy to cause accident
Occur:
In formula, xhFor available vehicel deceleration in this trip, unit: m/s2。
Racing is to riskExpression formula:
When Vehicular turn speed per hour spends big, then it is easy to cause defective steering stabilizer, lateral deviation even loses direction, so as to cause friendship
Interpreter thus occur:
In formula, xiRefer to average overall travel speed of the vehicle within 5 second time, unit: km/h；xjRefer to vehicle in 5 second time expert
The angle of direction change is sailed, unit: degree.
Racing is to number riskExpression formula:
When racing is excessive to number in vehicle travel, then show that driver driving is accustomed to poor, Yi Fasheng traffic accident:
In formula, xkIt is this trip racing to number, unit: secondary.
One hand drive riskExpression formula:
When driver's one hand drive, then the safety of driving is influenced.
In formula, xtFor the duration of driver's one hand drive, unit: s.
Driving communication riskExpression formula:
When exist in driver's startup procedure the behaviors such as connect, make a phone call when, then can extreme influence traffic safety:
In formula, xuFor driver's call condition parameter, when detecting that driver is making a phone call, xuValue is 1, is otherwise 0.
Travelling abnormal risk index includes: speed exception ratioVehicle abnormality stateWith passenger or tightly
Anxious contact person seeks help rateWherein, specifically:
Speed exception ratioExpression formula:
When Vehicle Speed is much higher than or is lower than present road flow speeds, then the generation of accident is easy to cause:
In formula, xlFor vehicle current driving speed, unit: km/h；v1It is averaged flow speeds for present road, unit: km/
h；
Vehicle abnormality stateExpression formula:
If when issuing abnormal vibration in vehicle travel process, noise then illustrates that vehicle may break down, affects row
Vehicle safety.
In formula, xoFor vehicle abnormality state parameter, when alarm occurs for vehicle-state real-time monitoring sensor, value 1,
It otherwise is 0.
Passenger or emergency contact seek help rateExpression formula:
When number is excessive if passenger or its emergency contact seek help, represent that situation is more urgent, the situation of passenger is more endangered
Danger.
In formula, xpThe number of seeking help for being passenger or emergency contact in stroke, unit: secondary.
Step S3: the weight of index is determined based on AHP (analytic hierarchy process (AHP)):
First: clear problem establishes hierarchical structure
Destination layer (top): the target of problem；
Rule layer (middle layer): the upper layer criterion of realization of goal is influenced；
Sub- rule layer (middle layer): lower layer's criterion of realization of goal is influenced；
Solution layer (bottom): the important measures taken to realize general objective.
Secondly: Judgement Matricies
Each factor of same level is compared two-by-two about the importance of a certain factor in a upper level, construction judgement
Matrix.For example, each factor u of a certain level11,u12…u1nTo upper one layer a certain factor u1Relative importance, with comparing two-by-two
Compared with method obtain judgment matrix u1=(aij)m×n, wherein normal value is as shown in table 1.
1 trip current of table
Again: Mode of Level Simple Sequence and its consistency check
Define coincident indicator are as follows:
CI=0 has complete consistency；CI has satisfied consistency close to 0；CI is bigger, inconsistent more serious.
For the size for measuring CI, random index RI is introduced:
Wherein, random index RI is related with the order of judgment matrix, and under normal circumstances, matrix order is bigger, then
There is a possibility that consistency deviates at random also bigger, corresponding relationship such as table 2:
The corresponding relationship of table 2 random index RI and judgment matrix
In view of whether the deviation of consistency may be to have as caused by random cause in test and judge matrix
When satisfied consistency, also needs for CI and random index RI to be compared, show that test coefficient CR, formula are as follows:
Generally, if CR < 0.1, then it is assumed that otherwise the judgment matrix does not just have satisfied consistent by consistency check
Property.
By the above method determine each grade evaluation criterion weight vector is as follows
(1) first class index respective weights vector
W=(trip risk, driving safety risk travel abnormal risk)=(w1,w2,w3)=(0.143,0.286,
0.517)
(2) the corresponding weight vectors of two-level index
W1=(travel time information, traffic path information, Customer information)=(w11,w12,w13)=(0.4,0.4,0.2)
W2=(vehicle speed information, direction information, driving behavior information lack of standardization)=(w21,w22,w23)=(0.25,0.25,
0.5)
W3=(vehicle abnormality status information, flash appeal information)=(w31,w32)=(0.25,0.75)
(3) the corresponding weight vectors of three-level index
Step S4, trip essential information acquisition:
Such as identified Risk Assessment Index System in step S1, all kinds of security information during passenger's trip are acquired,
Wherein, the passenger or driver information acquired by client and network management platform has: trip current time, x momenta, out
The practical duration x of rowb, go on a journey estimated duration xc, present road vehicle flowrate xd, current driving area judging value xe, vehicle driving
Distance xf, the operating range L identical with navigation default route in driving process1, the number x of passengerq, passenger's Alcohol Consumption Status parameter
xs, average acceleration of vehicle xg, available vehicel deceleration xh, average overall travel speed x of the vehicle within 5 second timei, vehicle is 5
The angle x that driving direction changes in time secondj, racing is to number xk, the duration x of driver's one hand drivet, driver's call situation ginseng
Number xu, vehicle current driving speed xl, present road is averaged flow speeds v1, vehicle abnormality state parameter xoWith passenger or promptly
Seek help number x of the contact person in strokep。
Step S5 calculates the quantization of passenger's trip risk evaluation index value:
Each risk assessment indication information collected in step S4 is substituted into the risk assessment index mould determined in step S2
In type, the risk assessment value of all kinds of indexs is calculated, carries out quantization operation.In this example, certain trip information is as follows:
Go on a journey moment xa=22, parameter value b1=b2=12, c1=6, c2=22, it must be gone on a journey period risk according to formula (1):
Go on a journey practical duration xb=40 minutes, went on a journey estimated duration xc=20 minutes, it is abnormal that travel time was obtained according to formula (2)
Degree:
Present road vehicle flowrate xd=10/minute, current driving area judging value xe=0, terrain vehicle is obtained according to formula (3)
Current density risk: Rd (xd,xe)=- 0.05xd+ 1.25=-0.05 × 10+1.25=0.75
The distance x of vehicle drivingf=10km, the operating range L identical with navigation default route in driving process1=4km,
Travel route irrelevance is obtained according to formula (4):
The number x of passengerq=1 people obtains patronage risk factor: Rq (x according to formula (5)q)=1
Passenger's Alcohol Consumption Status parameter xs=1, according to formula (6) passenger drinks value-at-risk: Rs (xs)=1
Average acceleration of vehicle xg=1.5m/s2, acceleration risk is obtained according to formula (7):
Rg(xg)=0.3xg- 0.3=0.3 × 1.5-0.3=0.15
Available vehicel deceleration xh=2.5m/s2, deceleration risk is obtained according to formula (8):
Rh(xh)=0.2xh- 0.2=0.2 × 2.5-0.2=0.3
Average overall travel speed x of the vehicle within 5 second timei=15km/h, vehicle driving direction within 5 second time change
Angle xj=90 degree, racing is obtained to risk according to formula (9):
Racing is to number xk=2 times, racing is obtained to number risk according to formula (10): Rk (xk)=0.7
The duration x of driver's one hand drivet=4s obtains one hand drive risk according to formula (11):
Rt(xt)=0.3xt- 0.5=0.3 × 4-0.5=0.7
Driver's call condition parameter xu=0, driving communication risk: Ru (x is obtained according to formula (12)u)=0
Vehicle current driving speed xl=80km/h, present road are averaged flow speeds v1=45km/h is obtained according to formula (13)
Speed exception ratio:
Vehicle abnormality state parameter xo=1, vehicle abnormality state: Ro (x is obtained according to formula (14)o)=1
The number x that seeks help of passenger or emergency contact in strokep=1, passenger or emergency contact are obtained according to formula (15)
It seeks help rate: Rp (xp)=0.8
Step S6 calculates trip risk: passenger's trip risk B1As shown in formula (19):
B1=w11×B11+w12×B12+w13×B13 (19)
Wherein, travel time Information Risk B11It indicates are as follows:Traffic path Information Risk B12
It indicates are as follows:Customer information risk B13It indicates are as follows:This example
In, obtained trip risk are as follows: 0.745
Step S7 calculates driving safety risk: driving safety risk B2As shown in formula (20):
B2=w21×B21+w22×B22+w23×B23 (20)
Wherein, vehicle speed information risk B21It indicates are as follows:Direction information risk B22It indicates are as follows:Driving behavior Information Risk B lack of standardization23It indicates are as follows:This example
In, obtained driving safety risk are as follows: 0.284
Step S8 calculates traveling abnormal risk: traveling abnormal risk B3As shown in formula (21):
B3=w31×B31+w32×B32 (21)
Wherein, vehicle abnormality status information risk B31It indicates are as follows:Flash appeal information wind
Dangerous B32It indicates are as follows:In this example, obtained traveling abnormal risk are as follows: 0.832
Step S9, the overall risk assessment of passenger's trip on the way: the overall risk in trip assesses score B such as formula (22) institute
Show:
B=w1×B1+w2×B2+w3×B3 (22)
In this example, the obtained overall risk in trip assesses score are as follows: 0.663
Score is assessed according to overall risk, referring to table 3, gives Safety Conclusions.
3 risk assessment score of table and the Safety Conclusions table of comparisons
| Overall risk assesses score | B<0.4 | 0.4≤B<0.55 | 0.55≤B<0.7 | B≥0.7 |
| Conclusion | Be free from risk trip | Low-risk trip | Risk trip | High risk trip |
By B=0.663, determine this time trip for risk trip.
Algorithm terminates.
The safety of net about vehicle is the alarm bell that people are yowled in one's ear, and only secure safety problem can just have subsequent hair
Exhibition, as described above, summarizing herein by indices involved in net about vehicle safety, and gives each index
Mathematic(al) representation, in being collected into stroke after all data, substitute into calculate can be obtained by assessment score, finally multiplied by power
Weight values can obtain safety overall score and conclusion, escort for passenger's trip, with the existing just improvement that goes wrong
Measure is compared, and this method can accomplish to prevent trouble before it happens, and can not only ensure net to passenger or the reaction time of driver's abundance
The about safety of vehicle can also save consumed manpower after the accident, material resources.
Claims (9)
1. a kind of methods of risk assessment based in Wang Yue garage journey, which comprises the following steps:
S1 determines the net about Risk Assessment Index System of vehicle trip on the way；
S2 calculates the measurement of every evaluation index in the Risk Assessment Index System in S1；
S3 determines the weight of the Risk Assessment Index System items evaluation index in S1 according to AHP；
S4, the security information during acquisition passenger's trip；
S5 calculates the quantized value of passenger's trip risk evaluation index value according to S2 and S4；
S6 calculates passenger's trip value-at-risk according to S3 and S5；
S7 calculates driving safety value-at-risk according to S3 and S5；
S8 calculates traveling abnormal risk value according to S3 and S5；
S9 calculates the overall risk assessed value of passenger's trip on the way according to S6, S7 and S8.
2. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S1,
The net about Risk Assessment Index System of vehicle trip on the way includes three-level index, is respectively:
First class index: U=(u1,u2,u3)=(trip risk, driving safety risk travel abnormal risk)；
Two-level index: u1=(u11,u12,u13Travel time)=(information, traffic path information, Customer information), u2=(u21,
u22,u23)=(vehicle speed information, direction information, driving behavior information lack of standardization), u3=(u31,u32)=(vehicle abnormality state letter
Breath, flash appeal information)；
Three-level index: u11=(u1 11, u2 11)=(trip period risk Ra, travel time abnormality degree Rb),
3. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 2, which is characterized in that in S2,
Go on a journey risk indicator u1Including period risk of going on a journeyTravel time abnormality degreeRoad vehicle density risk Traffic path irrelevancePatronage risk factorIt drinks value-at-risk with passenger
Wherein:
Trip period riskExpression formula:
Wherein, xaFor current time；b1And b2Value is the meridian hour, and value range is 12-14；c1And c2For coefficient, root
According to the variation value of density of stream of people, value are as follows: c1=4-8, c2=20-23；
Travel time abnormality degreeExpression formula:
In formula, xbFor practical duration of going on a journey, unit: minute；xcFor estimated duration of going on a journey, unit: minute；
Road vehicle density riskExpression formula:
In formula, xdFor present road vehicle flowrate, unit :/minute；xeFor current driving area judging value, taken when in for city
1, otherwise take 0；
Traffic path irrelevanceExpression formula:
In formula, xfFor the distance of vehicle driving, unit: km；L1For traveling identical with navigation default route in driving process away from
From unit: km；
Patronage risk factorExpression formula:
In formula, xqFor the number of passenger, unit: people；
Passenger drinks value-at-riskExpression formula:
In formula, xsFor passenger's Alcohol Consumption Status parameter, 1 is taken when passenger drinks, otherwise takes 0；
Driving safety risk indicator includes acceleration riskDeceleration riskRacing is to riskIt is anxious
Turn to number riskOne hand drive riskWith driving communication riskWherein:
Acceleration riskExpression formula:
In formula, xgFor average acceleration of vehicle in this trip, unit: m/s2；
Deceleration riskExpression formula:
In formula, xhFor available vehicel deceleration in this trip, unit: m/s2；
Racing is to riskExpression formula:
In formula, xiRefer to average overall travel speed of the vehicle within 5 second time, unit: km/h；xjRefer to vehicle traveling side within 5 second time
To the angle of change, unit: degree；
Racing is to number riskExpression formula:
In formula, xkIt is this trip racing to number, unit: secondary；
One hand drive riskExpression formula:
In formula, xtFor the duration of driver's one hand drive, unit: s；
Driving communication riskExpression formula:
In formula, xuFor driver's call condition parameter, when detecting that driver is making a phone call, xuValue is 1, is otherwise 0；
Travelling abnormal risk index includes speed exception ratioVehicle abnormality stateWith passenger or emergency contact
People seeks help rateWherein:
Speed exception ratioExpression formula:
In formula, xlFor vehicle current driving speed, unit: km/h；v1It is averaged flow speeds for present road, unit: km/h；
Vehicle abnormality stateExpression formula:
In formula, xoFor vehicle abnormality state parameter, when alarm occurs for vehicle-state real-time monitoring sensor, value 1, otherwise
It is 0；
Passenger or emergency contact seek help rateExpression formula:
In formula, xpThe number of seeking help for being passenger or emergency contact in stroke, unit: secondary.
4. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S4,
Security information during acquisition passenger's trip includes trip current time, x momenta, the practical duration x of tripb, the estimated duration of trip
xc, present road vehicle flowrate xd, current driving area judging value xe, vehicle driving distance xf, it is default with navigation in driving process
The identical operating range L of route1, passenger number xq, passenger's Alcohol Consumption Status parameter xs, average acceleration of vehicle xg, vehicle it is average
Deceleration xh, average overall travel speed x of the vehicle within 5 second timei, vehicle within 5 second time driving direction change angle xj、
Racing is to number xk, driver's one hand drive duration xt, driver converse condition parameter xu, vehicle current driving speed xl, current road
Road is averaged flow speeds v1, vehicle abnormality state parameter xoWith the number x that seeks help of passenger or emergency contact in strokep。
5. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S5,
The specific method for calculating the quantization of passenger's trip risk evaluation index value is: each risk assessment collected in step S4 is referred to
It marks information to substitute into the risk assessment index model determined in step S2, calculates the risk assessment value of all kinds of indexs, the amount of progress
Change operation.
6. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S6,
Passenger's trip value-at-risk B is calculated according to formula (19)1:
B1=w11×B11+w12×B12+w13×B13 (19)
Wherein, travel time Information Risk B11It indicates are as follows:Traffic path Information Risk B12It indicates
Are as follows:Customer information risk B13It indicates are as follows:
7. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S7,
Driving safety value-at-risk B is calculated according to formula (20)2:
B2=w21×B21+w22×B22+w23×B23 (20)
Wherein, vehicle speed information risk B21It indicates are as follows:Direction information risk B22It indicates are as follows:Driving behavior Information Risk B lack of standardization23It indicates are as follows:
8. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S8,
Traveling abnormal risk value B is calculated according to formula (21)3:
B3=w31×B31+w32×B32 (21)
Wherein, vehicle abnormality status information risk B31It indicates are as follows:Flash appeal Information Risk B32
It indicates are as follows:
9. a kind of methods of risk assessment based in Wang Yue garage journey according to claim 1, which is characterized in that in S9,
The overall risk assessed value B of passenger's trip on the way is calculated according to formula (22):
B=w1×B1+w2×B2+w3×B3 (22)
Wherein, as B < 0.4, then risk class is set as the trip that is free from risk；As 0.4≤B < 0.55, then risk class is set
For low-risk trip；As 0.55≤B < 0.7, then risk class is set as medium risk trip；As B >=0.7, then risk etc.
Grade is set as high risk trip.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144706A (en) * | 2019-12-05 | 2020-05-12 | 东南大学 | Method for grading and classifying network taxi appointment drivers |
| CN111930045A (en) * | 2020-08-17 | 2020-11-13 | 广西云森科技有限公司 | System and method for monitoring travel of taxi appointment |
| CN112185580A (en) * | 2020-08-20 | 2021-01-05 | 同济大学 | Travel risk information processing method based on cloud |
| CN113743815A (en) * | 2021-09-13 | 2021-12-03 | 一汽出行科技有限公司 | Risk monitoring method and device for operating vehicle, storage medium and computer equipment |
| CN114923497A (en) * | 2022-04-21 | 2022-08-19 | 西南交通大学 | Method, device, equipment and storage medium for planning railway trip path |
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| CN108573339A (en) * | 2018-03-22 | 2018-09-25 | 昆明理工大学 | A kind of consumer's net purchase methods of risk assessment of multi objective Project Decision Method |
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| CN108573339A (en) * | 2018-03-22 | 2018-09-25 | 昆明理工大学 | A kind of consumer's net purchase methods of risk assessment of multi objective Project Decision Method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144706A (en) * | 2019-12-05 | 2020-05-12 | 东南大学 | Method for grading and classifying network taxi appointment drivers |
| CN111930045A (en) * | 2020-08-17 | 2020-11-13 | 广西云森科技有限公司 | System and method for monitoring travel of taxi appointment |
| CN111930045B (en) * | 2020-08-17 | 2023-10-24 | 广西云森科技有限公司 | Network appointment vehicle travel monitoring system and method |
| CN112185580A (en) * | 2020-08-20 | 2021-01-05 | 同济大学 | Travel risk information processing method based on cloud |
| CN112185580B (en) * | 2020-08-20 | 2022-10-25 | 同济大学 | Travel risk information processing method based on cloud |
| CN113743815A (en) * | 2021-09-13 | 2021-12-03 | 一汽出行科技有限公司 | Risk monitoring method and device for operating vehicle, storage medium and computer equipment |
| CN114923497A (en) * | 2022-04-21 | 2022-08-19 | 西南交通大学 | Method, device, equipment and storage medium for planning railway trip path |
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