CN105138733B - Two-lane highway Traffic safety evaluation method based on driver comfort - Google Patents
Two-lane highway Traffic safety evaluation method based on driver comfort Download PDFInfo
- Publication number
- CN105138733B CN105138733B CN201510456733.0A CN201510456733A CN105138733B CN 105138733 B CN105138733 B CN 105138733B CN 201510456733 A CN201510456733 A CN 201510456733A CN 105138733 B CN105138733 B CN 105138733B
- Authority
- CN
- China
- Prior art keywords
- section
- rate
- change
- road
- horizontal curve
- 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.)
- Active
Links
Abstract
The present invention relates to the two-lane highway Traffic safety evaluation method based on driver comfort, this method is based on the collaboration mode of crew comfort of the prior art, according to four people, car, road, environment factors to the combined influence of Variation of Drivers ' Heart Rate rate of change, further optimization, obtain two-way traffic collaboration mode.The model is on the basis of Variation of Drivers ' Heart Rate rate of change, different drivers, which are analyzed, using drive simulation cabin travels the change rate of heartbeat under different environmental conditions, take into full account influence of the environmental factor to Variation of Drivers ' Heart Rate rate of change, and then the quantitative relationship of environmental factor and Variation of Drivers ' Heart Rate rate of change is drawn, accuracy is higher.
Description
Technical field
The present invention relates to safe evaluation method, and in particular to the two-lane highway Evaluation of Traffic Safety based on driver comfort
Method.
Background technology
At present, it is few to study the report of road traffic problem using the detection various physiology curent changes of human body；With medical science,
Pertinent instruments and method in terms of heart physiology study the example of road alignment and traffic safety with regard to less.Although South Korea scholar
The research that Chung and Chang et al. application electroencephalograph have carried out fine to the straight length of road and the entrance driveway of intersection,
Obtain satisfied achievement in research, but these researchs be after all it is local, it is rare that paractical research is carried out to road alignment design
Report.
Inventor Qiao, which builds, just to exist《Mountain area Key Parameter of Two-Lane research based on Driver's Factors》In one text in detail
Analyze the linear influences to Variation of Drivers ' Heart Rate such as horizontal curve, longitudinal slope, curved slope, and establish corresponding mathematical modeling, then from
In terms of people-Che-road-environment, the collaboration mode of crew comfort is established, surveyed section is judged by changes in heart rate
Security, it, which is disadvantageous in that, does not calculate influence of the environmental factor to Variation of Drivers ' Heart Rate rate of change, therefore, the mould quantitatively
The accuracy of type is relatively low, it is impossible to accurately determines the rate of change of Variation of Drivers ' Heart Rate.
The content of the invention
In view of the shortcomings of the prior art, the technical problem that intends to solve of the present invention is：There is provided a kind of based on driver comfort
Two-lane highway Traffic safety evaluation method.This method is using the collaboration mode of crew comfort of the prior art as base
Plinth, according to four people, car, road, environment factors to the combined influence of Variation of Drivers ' Heart Rate rate of change, further optimization, obtain double cars
Road cooperates with mode.The model analyzes different drivers on the basis of Variation of Drivers ' Heart Rate rate of change, using drive simulation cabin
The change rate of heartbeat under different environmental conditions is travelled, takes into full account influence of the environmental factor to Variation of Drivers ' Heart Rate rate of change,
And then the quantitative relationship of environmental factor and Variation of Drivers ' Heart Rate rate of change is drawn, accuracy is higher.
The present invention solves the technical problem and adopted the technical scheme that：A kind of double cars based on driver comfort are provided
Road highway traffic safety evaluation method, this method comprise the concrete steps that：
(1) collect test data and collect the road alignment data for assessing section, including length between reverse horizontal curve
Degree, radius of horizontal curve, the gradient, length of grade, the desin speed for assessing section is 40km/h, and annual average daily traffic is not higher than
6000pcu/d；Assessed section is various line shapes element combinations section, and assessing section includes Horizontal Curve Sections, reversely flat song
Part of path, longitudinal gradient section and curved section；Visibility during visual test；Pavement friction factor is determined using portable pendulum tester；Use
GPS records the road speed and velocity variations situation of instruction carriage in real time；
(2) relation for establishing environmental factor and Variation of Drivers ' Heart Rate uses MultiGen-Creator software modelings, and imports
To the operating system in drive simulation cabin, different visibility and pavement friction factor are set respectively, pass through drive simulation cabin
Emulation experiment has obtained Variation of Drivers ' Heart Rate delta data, using SPSS software analysis experimental datas, obtains environmental factor with driving
The quantitative relation formula of member's heart rate：
∑N4(μ, D, k)=k (- 10.313 μ -0.032D+22.678), and 0.1≤μ≤0.8, D≤250,
In formula, μ-pavement friction factor, the coefficient of friction of normal dried asphalt road is 0.8, rainy day surface friction coefficient
0.4 is reduced to, the coefficient of friction on snowy day road surface is 0.28, and the coefficient of friction of ice-patch surface is 0.1；D- visibility (m)；K- is laterally dry
Coefficient 3.58-4.15 is disturbed, it is ascending according to Horizonal Disturbing density, value；
(3) the quantitative pass of the two-way traffic collaboration mode environmental factor that obtains step (2) and Variation of Drivers ' Heart Rate is established
It is that formula is incorporated in collaboration mode of the prior art, the two-way traffic collaboration mode further optimized, the model
It is definite value that middle selection driver psychology, which bears index, value 30%, i.e.,
F (N)=K1N1-[K2N2(Δν)+K3∑N3(L1,L2,r,I,ν)+K4∑N4(μ,D,k)]
Wherein, N2=| 1.005 | Δ ν | -4.690 |；∑N3(L1,L2, r, I, ν) and=N31+N32+N33+N34+N35；
When section is horizontal curve, N33=N34=N35=0；When section is longitudinal slope, N31=N32=N35=0；Work as section
For curved slope when, N31=N32=N33=N34=0；
Wherein, when to assess section be Horizontal Curve Sections, and radius of horizontal curve is 20-700m, gradient I=-2.5%-+
2.5%, change rate of heartbeat and the relational expression of radius of horizontal curve and road speed are：
N31The ν of=- 11.565ln (r) -0.03565+96.523；
When assessed section is reverse Horizontal Curve Sections, and reversely the straight length between horizontal curve is 10-350m, the gradient
I=-2.5%-+2.5%, the relational expression of straight length and road speed between change rate of heartbeat and reverse horizontal curve are：
N32=-10.929ln (L1)-0.27ν+90.093；
When assessed section is longitudinal gradient section, during gradient I ﹥ 2.5%, the pass of Variation of Drivers ' Heart Rate rate of change and gradient during upward slope
It is to be：
N33=1.139I+0.581 ν+2.730；
The relation of Variation of Drivers ' Heart Rate rate of change and the gradient is during descending：
N34=-0.665I+0.336 ν+0.011L2+9.427；
When assessed section is curved section, and radius of horizontal curve is 60-600m, gradient I=2.5%-6.5% descending
Road, change rate of heartbeat caused by curved section are：
N35=15.796ln (I) -2.448ln (r)+0.408 ν+4.156；
In formula：K1N1Index is born for driver psychology；
[K2N2(Δν)+K3∑N3(L1,L2,r,I,ν)+K4∑N4(μ, D, k)] it is that traffic factor stimulates function, K2- speed
Influence coefficient, span 0.110-0.143；K3- road synthetic coefficient, span 0.823-1.070；K4- environment shadow
Ring coefficient, span 0.067-0.087；N2Change rate of heartbeat (%) caused by-velocity variations；N3The change of-road alignment is drawn
The change rate of heartbeat (%) risen；N4Change rate of heartbeat (%) caused by-environmental change；R- radius of horizontal curve (m)；Δ ν-driving speed
Degree and the difference (km/h) of desin speed；L1- reversely between horizontal curve straight line length (m)；L2- length of grade (m)；The I- gradients (%)；
(4) bring the test data in step (1) in step (3) into model, obtains evaluation result, i.e.,
F(N)>It is safe when 0；
It is critical point during F (N)=0；
F(N)<It is unsafe when 0.
Compared with prior art, the present invention optimizes design to existing collaboration mode, has taken into full account environment
Factor influences on Variation of Drivers ' Heart Rate rate of change, and selected driver psychology bears index K1N1For crew comfort threshold value, definite value is taken
For 30%, model is optimized, so as to get two-way traffic collaboration mode, by by the direct band of the test data gathered
Enter, with regard to can directly obtain road whether the evaluation result of safety, and result of the test shows, the result and reality calculated using this model
Border accident number is consistent, illustrates that this model can accurately make safety evaluatio, and evaluation result confidence level to existing two-way traffic
Height, reduces the quantity of the traffic accident on two-lane highway, and enhances the road-ability of two-lane highway, while is road
Road design provides foundation.
Brief description of the drawings
Fig. 1 be two-lane highway Traffic safety evaluation method of the present invention based on driver comfort with prior art traffic because
Son stimulates function, the comparison diagram of traffic accident number.
Embodiment
The specific steps of two-lane highway Traffic safety evaluation method (abbreviation method) of the invention based on driver comfort
It is：
(1) collect test data and collect the road alignment data for assessing section, including length between reverse horizontal curve
Degree, radius of horizontal curve, the gradient, length of grade, assessing section should meet《Road Design specification》, desin speed 40km/h, Nian Ping
Equal daily traffic volume is not higher than 6000pcu/d；Assessed section is various line shapes element combinations section, and assessing section includes flat song
Part of path, reverse Horizontal Curve Sections, longitudinal gradient section and curved section；The various line shapes element includes straight, horizontal curve, indulged
Slope, curved slope and reverse horizontal curve；Visibility during visual test；Pavement friction factor is determined using portable pendulum tester；It is real-time using GPS
Record the road speed and velocity variations situation of instruction carriage；
(2) the relational design speed for establishing environmental factor and Variation of Drivers ' Heart Rate is 40km/h, and transportation condition is free flow shape
State, using MultiGen-Creator software modelings, and the operating system in drive simulation cabin is imported into, set respectively different
Visibility and pavement friction factor, Variation of Drivers ' Heart Rate delta data is obtained by the emulation experiment in drive simulation cabin, applied
SPSS software analysis experimental datas, obtain the quantitative relation formula of environmental factor and Variation of Drivers ' Heart Rate：
∑N4(μ, D, k)=k (- 10.313 μ -0.032D+22.678), and 0.1≤μ≤0.8, D≤250,
In formula, μ-pavement friction factor, the coefficient of friction of normal dried asphalt road is 0.8, rainy day surface friction coefficient
0.4 is reduced to, the coefficient of friction on snowy day road surface is 0.28, and the coefficient of friction of ice-patch surface is 0.1；D- visibility (m)；K- is laterally dry
Coefficient 3.58-4.15 is disturbed, according to Horizonal Disturbing density, value is ascending, i.e. k is in the range of 3.58-4.15, with Horizonal Disturbing
The change of density and change, the motor vehicle sailed when road is up, non-motor vehicle etc. on the travel speed with reference to vehicle without influenceing when,
Horizonal Disturbing density is smaller, and k takes smaller value 3.58；If the motor vehicle travelled on road, non-motor vehicle etc. have had a strong impact on ginseng
The free travel speed of vehicle is examined, causes speed to have obvious reduction, Horizonal Disturbing density is larger, then k takes higher value；
(3) the quantitative pass of the two-way traffic collaboration mode environmental factor that obtains step (2) and Variation of Drivers ' Heart Rate is established
It is that formula is incorporated in collaboration mode of the prior art, the two-way traffic collaboration mode further optimized, the model
It is definite value that middle selection driver psychology, which bears index, value 30%, i.e.,
F (N)=K1N1-[K2N2(Δν)+K3∑N3(L1,L2,r,I,ν)+K4∑N4(μ,D,k)]
Wherein, N2=| 1.005 | Δ ν | -4.690 |；∑N3(L1,L2, r, I, ν) and=N31+N32+N33+N34+N35
When section is horizontal curve, N33=N34=N35=0；When section is longitudinal slope, N31=N32=N35=0；Work as section
For curved slope when, N31=N32=N33=N34=0；
Wherein, when to assess section be Horizontal Curve Sections, and radius of horizontal curve is 20-700m, gradient I=-2.5%-+
2.5%, change rate of heartbeat and the relational expression of radius of horizontal curve and road speed are：
N31The ν of=- 11.565ln (r) -0.03565+96.523；
When assessed section is reverse Horizontal Curve Sections, and reversely the straight length between horizontal curve is 10-350m, the gradient
I=-2.5%-+2.5%, the relational expression of straight length and road speed between change rate of heartbeat and reverse horizontal curve are：
N32=-10.929ln (L1)-0.27ν+90.093；
When assessed section is longitudinal gradient section, during gradient I ﹥ 2.5%, the pass of Variation of Drivers ' Heart Rate rate of change and gradient during upward slope
It is to be：
N33=1.139I+0.581 ν+2.730；
The relation of Variation of Drivers ' Heart Rate rate of change and the gradient is during descending：
N34=-0.665I+0.336 ν+0.011L2+9.427；
When assessed section is curved section, and radius of horizontal curve is 60-600m, gradient I=2.5%-6.5% descending
Road, change rate of heartbeat caused by curved section are：
N35=15.796ln (I) -2.448ln (r)+0.408 ν+4.156；
In formula：K1N1Index is born for driver psychology；
[K2N2(Δν)+K3∑N3(L1,L2,r,I,ν)+K4∑N4(μ, D, k)] it is that traffic factor stimulates function；K2- speed
Coefficient is influenceed, because speed is to influence the principal element of security incident, and is differed between free stream velocity and design speed
11km/h, and 25km/h is differed between maximal rate and design speed, new car, used car, large and small car speed it is also different (
Vehicle is already had accounted in experiment), coefficient new car gets the small value, used car takes large values, span 0.110- for speed influence
0.143；
K3- road synthetic coefficient, cement, pitch, the road synthetic coefficient of sand-gravel surface increase successively, and span is
0.823-1.070；
K4- environment coefficient, environment when driving, over time or mileage change, sighting distance, Horizonal Disturbing,
Weather, elevation etc. are constantly changing, span 0.067-0.087；
N2Change rate of heartbeat (%) caused by-velocity variations；N3Change rate of heartbeat (%) caused by the change of-road alignment,
N31For change rate of heartbeat caused by Horizontal Curve Sections, N32For change rate of heartbeat, N caused by reverse Horizontal Curve Sections33For on longitudinal slope
Change rate of heartbeat caused by the section of slope, N34For change rate of heartbeat, N caused by longitudinal slope descending section35For the heart caused by curved section
Rate rate of change；N4Change rate of heartbeat (%) caused by-environmental change；R- radius of horizontal curve (m)；Δ ν-road speed and design speed
The difference (km/h) of degree；L1- reversely between horizontal curve straight line length (m)；L2- length of grade (m)；The I- gradients (%)；
(4) bring the test data in step (1) in step (3) into model, obtains evaluation result, i.e.,
F(N)>It is safe when 0；
It is critical point during F (N)=0；
F(N)<It is unsafe when 0.
Curved section of the present invention when the gradient be I=2.5%-6.5%, respectively to go up a slope and the curve in downhill path,
Longitudinal slope automobilism characteristic, the heart physiological reaction of driver are analyzed, and find the heart physiological reaction of driver during descending than upper
Violent more of reaction during slope, and occurring when being downhill path mostly the curved slope accident, therefore of the invention slope is stooped with two-lane highway
Each traffic factor is studied the heart physiological reaction of driver drives vehicle on section.
The inventive method when obtaining the relation of environmental factor and Variation of Drivers ' Heart Rate rate of change, choose certain two-lane highway its
In one section, desin speed 40km/h, transportation condition is freestream conditionses, in experiment, select experiment vehicle be minibus, it is big
Lorry, middle bus；Using MultiGen-Creator software modelings, and the operating system in drive simulation cabin is imported into, respectively
Different visibility and pavement friction factor are set, experimenter selects age bracket as 20-24 year, 25-30 year, 31- respectively
40 years old, four groups of male drivers of 41-50 year, the quantity of every group of driver is 10-20, the wherein driver's of 25-50 year
Driving age more than 5 years, allows every group of experimenter to operate above-mentioned three classes vehicle respectively, real by the emulation in substantial amounts of drive simulation cabin
Test to have obtained Variation of Drivers ' Heart Rate delta data, then using SPSS software analysis experimental datas, finally give environmental factor with driving
The quantitative relation formula of the person's of sailing heart rate：
∑N4(μ, D, k)=k (- 10.313 μ -0.032D+22.678), the relational expression is only applicable to pavement friction factor and is
0.1-0.8 and visibility are not more than 250 environmental condition.
The correlation formula of change rate of heartbeat has existed caused by road alignment change in the present invention《Based on Driver's Factors
Mountain area Key Parameter of Two-Lane research》Detailed statistical analysis and simplation verification are carried out in one text, formula is accurately and reliably.
The key point of the present invention is that carrying out analogue simulation by substantial amounts of experimental data determines that environmental factor becomes with Variation of Drivers ' Heart Rate
The quantitative relationship of rate, and the quantitative relationship is applied in collaboration mode, the reliability of model is further increased, it is right
It has whether the road is that section is easily sent out in traffic accident in the energy effectively evaluating of existing road, reminds relevant departments or driving in time
Member takes corresponding solution, reduces the probability that traffic accident occurs, accurate to road safety assessment using the inventive method
Property is higher, while to the reference that provides of highway layout, further minimizes traffic accident.
Two-way traffic collaboration mode in the inventive method designs for male driver, and the reliability of the adjustment model is high, right
Corresponding reference can be also provided according to the model in female driver.
Embodiment 1
Using certain domestic two-lane highway of Shaanxi Province as evaluation object, the highway annual average daily traffic is less than the present embodiment
6000pcu/d, whole day are substantially in freestream conditionses, meet and assess section selection requirement.System-wide section is to transport the medium-sized of goods
Based on lorry, Shaanxi domestic K1073-K1100 system-wides section desin speed 40km/h, Δ ν≤20km/h, meet that rate uniformity will
Ask such as table 1, road environment is preferable, the 9m that has a lot of social connections, curb-to-curb width 7m, is the abundant two-lane highway of road geometry linear.
The rate uniformity evaluation criterion table of table 1
Because designer's machinery applies mechanically standard, specification index, occur it is linear it is discontinuous, velocity variations are excessive, exceed
Driver psychology bears the limit and accident " stain " section of more serious traffic safety hidden danger be present --- and-the section is exactly typical case
A section.
The traffic accident of national highway generation over the past two years of the domestic K1073-K1087 sections in Shaanxi is a lot of.Accident is mainly because under
Caused by speed too fast driver's heart physiological strains reaction in slope is too late, driver's heart physiological strains judges operational error.
GPS detections real-time speed, portable pendulum tester measure pavement friction factor are adopted in the present embodiment, and selects local highway operation
Main force's vehicle, loading capacity 8t east wind light truck, male driver 13, the data in the section are carried out according to the structural environment of model
Measurement, brings measurement data into present system mode, it is as shown in table 2 to obtain result.
Certain the two-lane highway accident changes in heart rate table of table 2
Two-lane highway Traffic safety evaluation method of the present invention based on driver comfort with《Mountain based on Driver's Factors
Area's Key Parameter of Two-Lane research》Contrast of the collaboration mode mentioned to traffic accident safety evaluation result, with inner
Journey is abscissa, and the traffic factor for draw the actual traffic accident number in the mileage respectively, obtaining using the inventive method stimulates
The traffic factor that model obtains is carried in function (%) and document stimulates function (%) (referred to herein as former traffic factor stimulation letter
Number) changing trend diagram, as shown in figure 1,
From figure 1 it appears that the traffic factor being calculated using the present invention stimulates function all more than 30%, and with
Accident number increases, and traffic factor stimulates function also accordingly to increase, and trend is consistent substantially, and more former traffic factor stimulates function
It is higher with accident number trend matching degree, it is seen that the evaluation model accuracy is higher.
The model can be used for the examination for being established based on the accident prone location of Driver's Factors, with reference to actual landform situation energy
It is proposed to make up improvement using flexible design or safety devices in advance, can investment reduction；This evaluation method is simply easily operated, uses
This model can reduce the generation of road accident, improve the comfortableness of driver's traveling, for driver's one safety and comfort of creation
Environment, a reliable method is provided for the research of traffic safety.
Claims (1)
1. a kind of two-lane highway Traffic safety evaluation method based on driver comfort, this method comprise the concrete steps that：
(1) test data is collected：Collect and assess the road alignment data in section, including straight length between reverse horizontal curve,
Radius of horizontal curve, the gradient, length of grade, the desin speed for assessing section is 40km/h, and annual average daily traffic is not higher than
6000pcu/d；Assessed section is various line shapes element combinations section, and assessing section includes Horizontal Curve Sections, reversely flat song
Part of path, longitudinal gradient section and curved section；Visibility during visual test；Pavement friction factor is determined using portable pendulum tester；Use
GPS records the road speed and velocity variations situation of instruction carriage in real time；
(2) environmental factor and the relation of Variation of Drivers ' Heart Rate are established：Using MultiGen-Creator software modelings, and it imported into and drives
The operating system of boiler-plate is sailed, sets different visibility and pavement friction factor respectively, passes through the emulation in drive simulation cabin
Experiment has obtained Variation of Drivers ' Heart Rate delta data, using SPSS software analysis experimental datas, obtains environmental factor and driver's heart
The quantitative relation formula of rate：
∑N4(μ, D, k)=k (- 10.313 μ -0.032D+22.678), and 0.1≤μ≤0.8, D≤250,
In formula, μ-pavement friction factor, the coefficient of friction of normal dried asphalt road is 0.8, and rainy day surface friction coefficient is reduced to
0.4, the coefficient of friction on snowy day road surface is 0.28, and the coefficient of friction of ice-patch surface is 0.1；D- visibility (m)；K- Horizonal Disturbings system
3.58-4.15 is counted, it is ascending according to Horizonal Disturbing density, value；N4Change rate of heartbeat (%) caused by-environmental change；
(3) two-way traffic collaboration mode is established：The environmental factor and the quantitative relation formula of Variation of Drivers ' Heart Rate that step (2) is obtained
It is incorporated in collaboration mode of the prior art, the two-way traffic collaboration mode F (N) further optimized, the model
It is definite value that middle selection driver psychology, which bears index, value 30%,
F (N)=K1N1-[K2N2(Δν)+K3∑N3(L1,L2,r,I,ν)+K4∑N4(μ,D,k)]
Wherein, N2=| 1.005 | Δ ν | -4.690 |；∑N3(L1,L2, r, I, ν) and=N31+N32+N33+N34+N35；
When section is horizontal curve, N33=N34=N35=0；When section is longitudinal slope, N31=N32=N35=0；When section is curved
During slope, N31=N32=N33=N34=0；
Wherein, when to assess section be Horizontal Curve Sections, and radius of horizontal curve is 20-700m, gradient I=-2.5%~+
2.5%, change rate of heartbeat and the relational expression of radius of horizontal curve and road speed are：
N31The ν of=- 11.565ln (r) -0.03565+96.523；
When assessed section is reverse Horizontal Curve Sections, and reversely the straight length between horizontal curve is 10-350m, gradient I=-
2.5%~+2.5%, the relational expression of straight length and road speed between change rate of heartbeat and reverse horizontal curve is：
N32=-10.929ln (L1)-0.27ν+90.093；
When assessed section is longitudinal gradient section, during gradient I ﹥ 2.5%, the relation of Variation of Drivers ' Heart Rate rate of change and gradient during upward slope
For：
N33=1.139I+0.581 ν+2.730；
The relation of Variation of Drivers ' Heart Rate rate of change and the gradient is during descending：
N34=-0.665I+0.336 ν+0.011L2+9.427；
When assessed section is curved section, and radius of horizontal curve is 60-600m, the downhill path of gradient I=2.5%~6.5%,
Change rate of heartbeat is caused by curved section：
N35=15.796ln (I) -2.448ln (r)+0.408 ν+4.156；
In formula：K1N1Index is born for driver psychology；
[K2N2(Δν)+K3∑N3(L1,L2,r,I,ν)+K4∑N4(μ, D, k)] it is that traffic factor stimulates function；K2- speed influences
Coefficient, span 0.110-0.143；K3- road synthetic coefficient, span 0.823-1.070；K4- environment influences system
Number, span 0.067-0.087；N2Change rate of heartbeat (%) caused by-velocity variations；N3Caused by the change of-road alignment
Change rate of heartbeat (%)；N4Change rate of heartbeat (%) caused by-environmental change；R- radius of horizontal curve (m)；Δ ν-road speed with
The difference (km/h) of desin speed；V- road speeds；L1- reversely between horizontal curve straight line length (m)；L2- length of grade (m)；I- slopes
Spend (%)；
(4) model for substituting into the test data in step (1) in step (3), obtains evaluation result, i.e.,
F(N)>It is safe when 0；
It is critical point during F (N)=0；
F(N)<It is unsafe when 0.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510456733.0A CN105138733B (en) | 2015-07-30 | 2015-07-30 | Two-lane highway Traffic safety evaluation method based on driver comfort |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510456733.0A CN105138733B (en) | 2015-07-30 | 2015-07-30 | Two-lane highway Traffic safety evaluation method based on driver comfort |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105138733A CN105138733A (en) | 2015-12-09 |
| CN105138733B true CN105138733B (en) | 2018-01-23 |
Family
ID=54724080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510456733.0A Active CN105138733B (en) | 2015-07-30 | 2015-07-30 | Two-lane highway Traffic safety evaluation method based on driver comfort |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105138733B (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106960065A (en) * | 2016-01-11 | 2017-07-18 | 北京仿真中心 | The robust appraisal procedure and system of a kind of Complex simulation systems confidence level |
| CN106650057B (en) * | 2016-12-07 | 2020-02-18 | 东南大学 | Safety evaluation method for road flat curve radius design scheme based on vehicle rollover and sideslip virtual test |
| CN106650063B (en) * | 2016-12-09 | 2019-05-31 | 东南大学 | The optimization method of the radius of the level curves of road safe design based on vehicle rollover sideslip virtual test |
| CN107064010B (en) * | 2016-12-15 | 2019-04-23 | 姜正晖 | Soft clay area Road surface quality evaluation method |
| CN109476310B (en) * | 2016-12-30 | 2021-11-12 | 同济大学 | Automatic driving vehicle speed control method based on comfort level |
| CN107945515A (en) * | 2017-12-25 | 2018-04-20 | 合肥工业大学 | Road traffic visibility stage division based on running velocity |
| CN108742609A (en) * | 2018-04-03 | 2018-11-06 | 吉林大学 | A kind of driver's lane-change Comfort Evaluation method based on myoelectricity and manipulation information |
| JP7073880B2 (en) * | 2018-04-19 | 2022-05-24 | トヨタ自動車株式会社 | Career decision device |
| CN109754603B (en) * | 2019-01-21 | 2020-11-03 | 石家庄铁道大学 | Bicycle travel time calculation method and device and terminal equipment |
| CN110930058B (en) * | 2019-12-06 | 2020-08-07 | 黑龙江省公路勘察设计院 | Highway traffic safety evaluation system |
| CN111814340B (en) * | 2020-07-14 | 2022-10-04 | 河北工业大学 | Method for predicting bottom tensile stress of water-stable gravel subbase layer by considering construction and maintenance temperatures |
| CN112489428B (en) * | 2020-11-26 | 2022-08-26 | 济南北方交通工程咨询监理有限公司 | Road evaluation method and system based on driving behaviors |
| CN113158332A (en) * | 2021-03-29 | 2021-07-23 | 东南大学 | Plateau road parking sight distance calculation method based on driver reaction time |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101690666A (en) * | 2009-10-13 | 2010-04-07 | 北京工业大学 | Driving working load calculation method of automobile driver |
| CN102622516A (en) * | 2012-02-22 | 2012-08-01 | 天津港(集团)有限公司 | Microcosmic traffic flow simulation method for road safety evaluation |
| CN103093088A (en) * | 2013-01-09 | 2013-05-08 | 西安费斯达自动化工程有限公司 | Safety evaluation method for steep slope and winding road |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1764580B1 (en) * | 2005-09-14 | 2008-07-30 | C.R.F. Società Consortile per Azioni | Method and system for recognizing the sign of the velocity of a vehicle and for estimating the road slope |
-
2015
- 2015-07-30 CN CN201510456733.0A patent/CN105138733B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101690666A (en) * | 2009-10-13 | 2010-04-07 | 北京工业大学 | Driving working load calculation method of automobile driver |
| CN102622516A (en) * | 2012-02-22 | 2012-08-01 | 天津港(集团)有限公司 | Microcosmic traffic flow simulation method for road safety evaluation |
| CN103093088A (en) * | 2013-01-09 | 2013-05-08 | 西安费斯达自动化工程有限公司 | Safety evaluation method for steep slope and winding road |
Non-Patent Citations (3)
| Title |
|---|
| 基于人性化的双车道公路平曲线半径的研究;乔建刚等;《北京工业大学学报》;20060130;第32卷(第1期);第33-37页 * |
| 基于道路安全评价的协同震荡模型研究;乔建刚等;《北京工业大学学报》;20060928;第32卷(第9期);第808-812页 * |
| 基于驾驶员因素的山区双车道公路关键参数研究;乔建刚;《中国优秀博硕士学位论文全文数据库（博士）工程科技II辑》;20061215;第2006卷(第12期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105138733A (en) | 2015-12-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105138733B (en) | Two-lane highway Traffic safety evaluation method based on driver comfort | |
| CN104527647B (en) | Monitoring and evaluation method of driving behavior risk degrees | |
| CN105608902B (en) | A kind of expressway traffic accident Multiple trauma identification system and method | |
| CN104294720B (en) | A kind of Expressway Design solution security evaluation methodology | |
| CN106203735A (en) | A kind of automobile driver driving behavior energy consumption characters measuring method | |
| CN112884288B (en) | Highway rain and fog scene driving safety evaluation system | |
| CN106503398B (en) | A kind of highway alignment safety evaluation method based on vehicle dynamics simulation and accident tree | |
| CN106529599A (en) | Driver ecologic driving behavior evaluation method facing event | |
| CN106971540B (en) | The behaviorist risk quantization method of driver under freeway tunnel environment | |
| CN103196681A (en) | Train operation comfort degree predication method based on bogie acceleration | |
| CN103198713A (en) | Traffic accident reduction vehicle regulation and control method based on traffic data and weather data | |
| CN111210165A (en) | Vehicle operation risk assessment system based on risk conduction coupling | |
| CN106859674A (en) | A kind of upland highway driver gives birth to mental load degree characterizing method | |
| Zhao et al. | Evaluation of fog warning system on driving under heavy fog condition based on driving simulator | |
| CN105702070A (en) | Vehicle-road cooperative control system and method with tunnel speed early warning function | |
| Zhai et al. | Comparative analysis of drive-cycles, speed limit violations, and emissions in two cities: Toronto and Beijing | |
| CN108920753B (en) | Curve color road surface design method based on excellent driver driving track | |
| CN110867075A (en) | Method for evaluating influence of road speed meter on reaction behavior of driver under rainy condition | |
| CN105931464A (en) | Method for determining dynamic speed limit value of highway road section based on visibility meter | |
| Hu et al. | GIS-based road safety evaluation model for cyclist in campus of Higher Education Mega Center | |
| CN209624775U (en) | Anti-collision warning detection device after a kind of harmful influence vehicle | |
| CN105868157B (en) | Tunnel entrance speed(-)limit sign position determination method based on driver's fixation time | |
| Xiang et al. | Recommended Circular Curve Radius of Spiral Tunnel in Expressway | |
| Peng et al. | Lane level joint control of off-ramp and main line speed guidance on expressway in rainy weather | |
| Yang et al. | A Method for Expressing and Displaying the Vehicle Behavior Distribution in Maintenance Work Zones |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |