CN110727971A - Multi-user main body traffic facility evaluation method - Google Patents
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Abstract
The invention discloses a multi-user main body traffic facility evaluation method, which comprises the following steps: building a simulation experiment environment of a multi-user main body traffic facility; for the driver main body: embedding the simulation experiment environment into a driving simulation system, and carrying out a driving simulation experiment test; collecting driving control data, and integrating subjective questionnaire scores after experiments to obtain main evaluation indexes of the driver; for a pedestrian subject: embedding the simulated experimental environment into a VR system, importing vehicle track data in driving control data into a corresponding VR scene, and carrying out VR experimental test; collecting pedestrian movement data, and integrating subjective questionnaire scores after an experiment to obtain pedestrian main body evaluation indexes; and forming a comprehensive evaluation index system considering different user subjects based on the driver subject evaluation index and the pedestrian subject evaluation index. The invention provides a practical, effective and comprehensive evaluation general formula, so that future evaluation of the multi-user main body traffic facilities is more comprehensive and reasonable.
Description
Technical Field
The invention relates to the technical field of transportation, in particular to a multi-user main body transportation facility evaluation method.
Background
Pedestrian walking safety is a common concern all over the country and all over the world, and in urban road traffic systems, intersections are important components and are areas where pedestrians and motor vehicles are most likely to collide. With the increasing number of motor vehicles, the pedestrian safety problem at the intersection is more severe. In order to improve the safety of pedestrians crossing streets, various multi-user main body traffic facilities are widely used at intersections. Taking a pedestrian crossing as an example, the pedestrian crossing is a typical multi-user main body traffic facility, and the role of the traffic facility is two-fold: on one hand, the driver of the motor vehicle is warned to pay attention to the pedestrian crossing the street; on the other hand, a path is indicated that permits a pedestrian to cross a road under certain conditions.
Researchers have currently evaluated multi-user subject traffic facilities such as pedestrian crossings. However, the above evaluations basically examine whether such facilities can affect the driving behavior from the perspective of the driver, and further improve the street crossing safety of pedestrians, and do not evaluate the impact of such facilities on pedestrians from the perspective of the pedestrian. Thus, current assessment methods for multi-user mass transit facilities are incomplete and single.
Disclosure of Invention
Aiming at the defects existing in the problems, the invention provides a multi-user main body traffic facility evaluation method.
The invention discloses a multi-user main body traffic facility evaluation method, which comprises the following steps:
setting up a scene:
building a simulated experiment environment of a multi-user main body traffic facility based on a 3D virtual technology;
for the driver main body:
embedding the simulation experiment environment into a driving simulation system to carry out a driving simulation experiment test;
collecting driving control data, and integrating subjective questionnaire scores after experiments to obtain main evaluation indexes of the driver;
for a pedestrian subject:
embedding the simulated experimental environment into a VR system, importing vehicle track data in the driving control data into a corresponding VR scene, and carrying out VR experimental tests;
collecting pedestrian movement data, and integrating subjective questionnaire scores after an experiment to obtain pedestrian main body evaluation indexes;
and (3) comprehensive evaluation:
and forming a comprehensive evaluation index system aiming at different user subjects based on the driver subject evaluation index and the pedestrian subject evaluation index, and completing comprehensive evaluation on the multi-user subject traffic facilities.
As a further improvement of the invention, the 3D virtual technology is used for building a simulation experiment environment of a multi-user main body traffic facility; the method comprises the following steps:
determining a design objective of the multi-user subject transportation facility;
collecting design and setting parameters of the multi-user main body traffic facility, wherein the design and setting parameters comprise size, color, placement position and placement condition;
screening external control conditions affecting the multi-user host transportation facility;
adopting AutoCAD to build a model of the multi-user main body traffic facility, and adopting 3D MAX to carry out external mapping processing on the model to generate a primary 3D model; and carrying out simulation manufacturing on the model through road model building and lighting effect rendering to obtain a simulation experiment environment of the multi-user main body traffic facility.
As a further development of the invention, the driving maneuver data comprises speed, acceleration, throttle, brake and vehicle trajectory data.
As a further improvement of the present invention, the subjective questionnaire directed to the driver is a driver's warning questionnaire for one or more multi-user subject transportation facilities.
As a further improvement of the present invention, the driver main body evaluation index includes a driving maneuver data score and a warning score.
As a further improvement of the present invention, the pedestrian movement data includes a pedestrian walking time period and a speed.
As a further improvement of the present invention, the subjective questionnaire directed to the pedestrian is a warning questionnaire of the pedestrian to one or more multi-user subject transportation facilities.
As a further improvement of the invention, the pedestrian subject evaluation index comprises a pedestrian motion data score and a warning score.
As a further improvement of the present invention, in the comprehensive evaluation step:
the coefficient of variation formula of each index is as follows:
in the formula, viCoefficient of variation, σ, of the i-th indexiIs the standard deviation of the i-th index,
the average value of the i index is shown;
the index weight formula is as follows:
in the formula, wiThe index weight of the ith index;
the evaluation score formula is as follows:
in the formula, xiIs the value of the i index.
Compared with the prior art, the invention has the beneficial effects that:
the method has the advantages of more perfect evaluation angle, high data precision, comprehensive data, advanced experimental means and the like, wherein the driving simulation technology and the VR technology are introduced into data of influence of multi-user main body facilities on the main body of a pedestrian user, and the method has the advantages of situational performance, fine data granularity and the like; by applying the coefficient of variation method, the subjective and objective data of the driver user main body and the pedestrian user main body can be well used for comprehensive evaluation; based on the advantages, the invention carries out the multi-user main body traffic facility evaluation, and can completely evaluate the traffic facilities from the perspective of different user main bodies.
Drawings
FIG. 1 is a flow chart of a method for assessing a multi-user agent transportation facility according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating design parameters of a generic zebra crossing or yellow zebra crossing according to an embodiment of the present invention;
fig. 3 shows design parameters of a three-dimensional zebra crossing according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The invention is described in further detail below with reference to the attached drawing figures:
the invention takes a Driving Simulator (Driving Simulator) and a virtual reality device (VR) as a basic platform, takes a three-dimensional zebra crossing, a yellow zebra crossing and a common zebra crossing as inventions, and describes a multi-user main body traffic facility evaluation method based on the technology of 'Driving Simulator + VR' from the perspective of a driver main body and a pedestrian main body; the invention obtains the effectiveness of three types of pedestrian crossing lines (three-dimensional zebra stripes, yellow zebra stripes and common zebra stripes) under different external conditions. In addition, the invention provides a practical, effective and comprehensive evaluation general formula for the future evaluation of the multi-user main body traffic facilities, so that the future multi-user main body traffic facilities are more comprehensive and reasonable.
As shown in fig. 1, the present invention provides a method for evaluating a multi-user agent transportation facility, comprising:
s1, scene construction:
building a simulated experiment environment of a multi-user main body traffic facility based on a 3D virtual technology;
the method specifically comprises the following steps:
according to the multi-user main body traffic facility to be evaluated, looking up related documents to determine the design purpose of the multi-user main body traffic facility;
collecting design and setting parameters (including but not limited to size, color, placement position and placement condition) of the multi-user main body transportation facility to be tested;
screening external control conditions affecting a multi-user subject traffic facility;
adopting AutoCAD to build a model of the multi-user main body traffic facility, and adopting 3D MAX to carry out external mapping processing on the model to generate a primary 3D model; simulating and manufacturing the road model building and the lighting effect rendering pair to obtain a simulation experiment environment of the multi-user main body traffic facility; the method aims to solve the technical difficulties of building and rendering models of urban building groups, sidewalks, landscapes along roads, road infrastructure, traffic sign lines, traffic signal control systems and the like.
S2, for the driver main body:
embedding the simulation experiment environment into a driving simulation system, and carrying out a driving simulation experiment test;
collecting driving control data, and integrating subjective questionnaire scores after experiments to obtain main evaluation indexes of the driver;
the method specifically comprises the following steps:
aiming at a driver main body, a reasonable driving simulation experiment process and a subjective questionnaire (warning questionnaire of a driver to one or more multi-user main body traffic facilities) after an experiment are designed, a built simulation experiment scene is embedded into a driving simulation system, an experiment test is carried out by using a driving simulation technology, various behaviors including a driving track, speed, acceleration, an accelerator, a brake and the like and control data are collected, meanwhile, the subjective questionnaire score after the experiment is integrated, a representative index facing the driver is extracted (the evaluation index of the driver main body comprises the driving control data score and the warning score), and the facilities are evaluated from the perspective of the driver.
S3, aiming at the pedestrian main body:
embedding the simulated experimental environment into a VR system, importing vehicle track data in driving control data into a corresponding VR scene, and carrying out VR experimental test;
collecting pedestrian movement data, and integrating subjective questionnaire scores after an experiment to obtain pedestrian main body evaluation indexes;
the method specifically comprises the following steps:
aiming at a pedestrian main body, a VR experimental process and a subjective questionnaire after the experiment (warning questionnaire of the pedestrian to one or more multi-user main body traffic facilities) which are reasonable in design are embedded into a VR system, 3D and VR linking technology is overcome, vehicle track data obtained in a driving simulation experiment are led into a corresponding VR scene through C # language programming, the interaction state of the pedestrian and a driver is realized, a pedestrian experiment test is carried out by utilizing VR equipment, various microscopic behavior data including walking duration, speed and the like of the pedestrian are collected, the subjective questionnaire after the experiment is integrated for scoring, representative indexes (pedestrian motion data scoring and warning scoring) facing the pedestrian are extracted, and the facilities of the type are evaluated from the pedestrian angle.
S4, comprehensive evaluation:
forming a comprehensive evaluation index system aiming at different user subjects based on the driver subject evaluation index and the pedestrian subject evaluation index, and completing comprehensive evaluation on the multi-user subject traffic facilities;
wherein:
the coefficient of variation formula of each index is as follows:
in the formula, viCoefficient of variation, σ, of the i-th indexiIs the standard deviation of the i-th index,
the average value of the i index is shown;
the index weight formula is as follows:
in the formula, wiThe index weight of the ith index;
the evaluation score formula is as follows:
in the formula, xiIs the value of the i index.
Example (b):
based on the total design thought of the scheme, the specific implementation process of the invention by taking the three-dimensional zebra crossings, the yellow zebra crossings and the common zebra crossings as follows:
the design parameters of the ordinary zebra crossing are shown in fig. 2, wherein a is 2m, b is 5m, c is 0.4m, and d is 0.6 m;
the design parameters of the yellow zebra crossing are different from those of the common zebra crossing only in color;
the design parameters of the three-dimensional zebra crossing are shown in fig. 3, wherein a is 2m, B is 5m, C is 6m, D is 0.4m, and E is 0.35 m;
the evaluation method comprises the following steps:
step 1, building a specific simulation experiment environment based on 3D virtual technology
The design purposes of the three-dimensional zebra stripes, the yellow zebra stripes and the common zebra stripes are collected and obtained through domestic and foreign specifications and document summarization so as to warn motor vehicle drivers to pay attention to pedestrian crossing; a path is indicated that permits a pedestrian to traverse a road under certain conditions. Therefore, such facilities should be evaluated simultaneously from the perspective of pedestrians and drivers.
According to related documents, the factor which has a large influence on the using effect of the zebra crossings is the size of the intersection, and the type of the main road of Beijing is taken as a reference basis, so that the large-scale intersection and the small-scale intersection are selected as external control conditions. The large-scale intersection is formed by intersecting two bidirectional eight-lane roads, each lane comprises two straight lanes with the width of 3.5 meters, a left-turn lane with the width of 3.5 meters, a right-turn lane with the width of 3.5 meters, a machine-vehicle separation zone with the width of 1 meter and a non-motor lane with the width of 3.5 meters in a single direction. The miniature intersection is formed by intersecting two bidirectional four-lane roads, each lane comprises a left-turn lane with the width of 3.5 meters, a straight-going right-turn lane with the width of 3.5 meters, a machine-vehicle separation belt with the width of 1 meter and a non-motor lane with the width of 3.5 meters in a single direction. In summary, the experimental scenarios of the present invention total 3 × 2 ═ 6. Aiming at the experimental scene, model construction is carried out on the road by adopting AutoCAD, external mapping processing is carried out on the model through 3D MAX, a primary 3D model is generated, and simulation manufacturing is carried out on the whole model through road model construction, lighting effect rendering and the like.
2. Driving simulation experiment test for driver main body
2.1 design parameters-pedestrian trigger position and movement speed
And aiming at a driver main body, placing the built 3D model in the self-contained software of the driving simulator, and finally forming a driving simulation road test virtual environment with actual road elements and actual operation capacity. The invention combines the relevant theory and the self-carrying function of a simulator, designs a motion mode of simulating pedestrians in a scene:
in the driving simulation experiment, when the distance between the vehicle and the pedestrian crosswalk line is S, the pedestrian starts to move at the speed VpCrossing along the pedestrian crossing. Distance S and velocity VpThe expression is solved as follows:
the remaining Time for the vehicle to reach the crosswalk is obtained by dividing the position of the vehicle from the crosswalk line by the speed of the vehicle, as represented by Time-to-zebra (ttz). In this embodiment, TTZ is 2.5 s. Assuming that the speed V of the vehicle is 40km/h when the vehicle reaches the trigger position, the pedestrian starts moving and the initial moving speed Vp is 1.1m/s, since the starting moving time of the pedestrian and the vehicle is the same at the trigger position, it can be known that:
Lp: the moving distance of the pedestrian from the initial position to the dangerous position is m;
Lv: the movement distance of the vehicle from the triggering position to the dangerous position is m;
the following can be obtained:
assuming that the vehicle moves at a speed V of 30km/h, the vehicle moves a distance in the TTZ range
Lv′＝V×TTZ
The distance from the trigger position to the conflict point can be obtained
S＝Lv+Lv′
The initial moving speed V of the pedestrian is obtained through multiple times of debuggingpProportional to vehicle speed V, i.e.
Vp＝V×0.09
After the vehicle reaches the speed changing position, the pedestrian is changed from the initial moving speed to 4 km/h.
2.2 number of experimental population
According to the central limit theorem, more than 30 subjects should be recruited in a driving simulation experiment, the male-female ratio is 2:1, the driving ages are more than 2 years, the physical condition is good, and the vision disorder is avoided.
2.3 carrying out the procedure
The implementation process is as follows: preparation before the experiment. Before the experiment, the subject needs to fill in a personal information questionnaire, which includes name, sex, age, sleeping duration, mental condition, and presence or absence of taking irritant drugs. After completion of the filling, the experimenter informs the use notice of the simulator to be tested. The tested automobile is tested and driven for 10 minutes by using a test driving scene carried by the driving simulator. After the test driving is finished, inquiring whether the tested vehicle has uncomfortable symptoms by experimenters, and starting formal experiments if the tested vehicle does not have the uncomfortable symptoms; if there were symptoms of discomfort, the test experiment was cancelled.
The implementation process two: and (6) data acquisition. The test was completed according to the experimental scenario with the sequence randomly arranged before the experiment. The simulator records vehicle operating parameters (speed, real time coordinate position) at a frequency of 30 HZ. The data is transmitted to the upper end software through a UDP protocol and is registered in the memory to wait for calling. After the driving simulation experiment is completed, the psychological condition of the tested person after the experiment is carried out is investigated, and if the psychological state of the tested person is qualified, the data is recorded as effective data. Finally, the experimenter surveys the questionnaire after the trial development experiment, whether the triage of the three pedestrian crossing lines has difference is answered, and the scoring mode is as follows: if the driver considers that the warning performances of the three pedestrian crossing lines are different, the highest warning performance is 3 points, the second highest warning performance is 2 points, and the lowest warning performance is 1 point; if there is no difference in the warning property, the three are all divided into 2 points.
The third implementation process comprises: and (6) analyzing the data. And calling out the vehicle running speed data of the driver in the memory, and checking the detected vehicle running state data. And determining a data analysis section as 100 meters before the stop line of the intersection to 20 meters after the stop line of the intersection according to the position of the zebra crossing which can be seen from the driving simulator and the position of the stop line. The experimental data are classified according to large and small intersections, and the difference of the average speeds of the sections of the drivers in the data analysis sections selected under two different external conditions under the influence of three pedestrian crossing lines is analyzed. If the three are different, the speed behaviors of the driver reflect the advantages and disadvantages of the three pedestrian crosswalk lines, the advantages and disadvantages are ranked according to the priority, the goodness and the difference, and the scores are given, namely the lowest speed in the early deceleration area is the priority, and 3 scores are obtained; the speed is good secondly, and 2 minutes is obtained; the highest speed is the difference, and 1 minute is obtained. If the influence of the three pedestrian crossing lines on the behavior of the driver is not obviously different, 2 points are taken.
3. VR testing for pedestrian subjects
3.1 design parameter-vehicle trigger position
And (3) placing the built 3D model in Unity software aiming at the main body of the pedestrian, and finally forming a virtual reality road testing environment with actual road elements and actual operation capability. The method fits the motion tracks of the group tested in six scenes in the driving simulation to obtain the optimal vehicle motion track in the six scenes. A C # editor is arranged in the Unity software, and a vehicle motion track reading program, a virtual vehicle starting triggering program, a data acquisition program and a handle motion control program are compiled. The starting triggering mode of the vehicle in the scene is as follows:
the distance l that the vehicle moves before traveling to the trigger is calculated.
l＝L-S
L: the distance from the starting point to the conflict point of the VR vehicle animation is 300m
S: distance of pedestrian from triggering position to conflict point in driving simulation experiment, unit m
Calculating time t 'taken by the vehicle to move from the starting point position to the trigger position'
t'＝t2-t1
After consulting the literature, the walking speed V of the pedestrian is takenp' is 1.25m/s, and the distance between the position of the pedestrian triggering VR vehicle animation and the position of the street corner is calculated
Sp＝t'×Vp'
In order to ensure the sense of reality, the experiment is added by 5m on the basis of the distance to be used as the initial movement position of the pedestrian.
3.2 number of experimental population
According to the central limit theorem, more than 30 subjects should be recruited in the driving simulation experiment, the ratio of male to female is 2:1, the physical condition is good, and no visual disturbance exists.
3.3 implementation procedure
The implementation process is as follows: preparation before the experiment. Before the experiment, the subject needs to fill in a personal information questionnaire, which includes name, sex, age, sleeping duration, mental condition, and presence or absence of taking irritant drugs. After completing filling, the experimenter informs the tested VR wearing equipment of the use notice. The test uses VR wearing equipment to adapt operation in a preset adaptive scene for 10 minutes. After the adaptation operation is finished, inquiring whether the tested object has uncomfortable symptoms by experimenters, and starting formal experiments if the tested object does not have the uncomfortable symptoms; if there were symptoms of discomfort, the test experiment was cancelled.
The implementation process two: and (6) data acquisition. The test was completed according to the experimental scenario with the sequence randomly arranged before the experiment. The simulator records the street crossing time and position (speed, real-time coordinate position) of the pedestrian at the frequency of the number of computer rendering frames, and generates a corresponding record file. After the VR experiment is completed, the psychological condition of the tested person after the experiment is investigated, and if the psychological state of the tested person is qualified, the data is recorded as effective data. Finally, the experimenter surveys the questionnaire after the trial development experiment, whether the safety of the three pedestrian crossing lines of the experimented answers is different or not is judged, and the grading mode is as follows: if the driver considers that the three pedestrian crossing lines have different warning properties, the highest safety is 3 points, the second highest safety is 2 points, and the lowest safety is 1 point; if the safety is not different, the three are 2 points.
The third implementation process comprises: and (6) analyzing the data. And screening and integrating street crossing time data corresponding to the VR experiment. And classifying the experimental data according to the large and small intersections, analyzing the difference of the average street crossing time of the pedestrians under two different external conditions under the influence of three pedestrian crossing lines, and counting the difference into comprehensive evaluation indexes. If the three pedestrian crossing time points are different, the three pedestrian crossing lines reflected by the average pedestrian crossing time are ranked according to the priority, the goodness and the difference and are endowed with scores, namely the shortest time of the pedestrian crossing the street and being exposed on the roadway is the priority, and the score is 3; the second best time, 2 minutes is obtained; the longest time is poor and 1 point is obtained. If the influence of the three pedestrian crosswalk lines on the pedestrian average street crossing time is not obviously different, 2 points are respectively taken.
4. Comprehensive evaluation of facilities based on driving simulation and virtual reality
The coefficient of variation method is an evaluation method for measuring the difference degree of values of each index by calculating the coefficient of variation of each index, and the coefficient of variation formula of each index is as follows:
in the formula, viCoefficient of variation, σ, of the i-th indexiIs the standard deviation of the i-th index,the average value of the i index is shown;
the index weight formula is as follows:
in the formula, wiThe index weight of the ith index;
the evaluation score formula is as follows:
in the formula, xiIs the value of the i index.
In the indexes, except the pedestrian crossing time, the higher the score of the other indexes is, the better the evaluation result is. The result of the invention is that the comprehensive evaluation score of the three-dimensional pedestrian crossing line is superior to that of other pedestrian crossing lines at large and small intersections.
In summary, from the perspective of the driver user subject and the pedestrian user subject, the driving simulation experiment and the VR experiment under different external environmental conditions are respectively carried out to obtain the objective and subjective data, and the comprehensive evaluation is carried out by combining the selected indexes through the coefficient of variation method, so as to obtain the result: at a large-scale intersection, a three-dimensional pedestrian crossing line > a yellow pedestrian crossing line > a common pedestrian crossing line; at the small intersection, the three-dimensional pedestrian crossing line > yellow pedestrian crossing line > common pedestrian crossing line. The invention lays a solid foundation for the next comprehensive evaluation of multi-user main traffic facilities and provides a basis for further perfecting the specified standards of traffic signs and marking lines.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A multi-user agent transportation facility assessment method, comprising:
setting up a scene:
building a simulated experiment environment of a multi-user main body traffic facility based on a 3D virtual technology;
for the driver main body:
embedding the simulation experiment environment into a driving simulation system to carry out a driving simulation experiment test;
collecting driving control data, and integrating subjective questionnaire scores after experiments to obtain main evaluation indexes of the driver;
for a pedestrian subject:
embedding the simulated experimental environment into a VR system, importing vehicle track data in the driving control data into a corresponding VR scene, and carrying out VR experimental tests;
collecting pedestrian movement data, and integrating subjective questionnaire scores after an experiment to obtain pedestrian main body evaluation indexes;
and (3) comprehensive evaluation:
and forming a comprehensive evaluation index system considering different user subjects based on the driver subject evaluation index and the pedestrian subject evaluation index, and completing comprehensive evaluation on the multi-user subject traffic facilities.
2. The method for assessing a multi-user subject transportation facility according to claim 1, wherein the 3D virtual technology-based simulated experimental environment of the multi-user subject transportation facility is established; the method comprises the following steps:
determining a design objective of the multi-user subject transportation facility;
collecting design and setting parameters of the multi-user main body traffic facility, wherein the design and setting parameters comprise size, color, placement position and placement condition;
screening external control conditions affecting the multi-user host transportation facility;
adopting AutoCAD to build a model of the multi-user main body traffic facility, and adopting 3D MAX to carry out external mapping processing on the model to generate a primary 3D model; and carrying out simulation manufacturing on the model through road model building and lighting effect rendering to obtain a simulation experiment environment of the multi-user main body traffic facility.
3. The multi-user agent transportation facility assessment method of claim 1, wherein the driving maneuver data comprises speed, acceleration, throttle, brake and the vehicle trajectory data.
4. The multi-user agent transportation facility evaluation method of claim 3, wherein the subjective questionnaire for the driver is a warning questionnaire of the driver for one or more multi-user agent transportation facilities.
5. The multi-user agent transportation facility evaluation method of claim 4, wherein the driver agent evaluation metrics comprise a driving maneuver data score and a warning score.
6. The multi-user agent transportation facility assessment method of claim 5, wherein the pedestrian motion data comprises pedestrian walking duration and speed.
7. The multi-user agent transportation facility assessment method of claim 6, wherein the subjective questionnaire for pedestrians is a warning questionnaire of pedestrians to one or more multi-user agent transportation facilities.
8. The multi-user agent transportation facility assessment method of claim 7, wherein the pedestrian agent evaluation metrics comprise a pedestrian motion data score and a warning score.
9. The multi-user agent transportation facility evaluation method of claim 8, wherein in the comprehensive evaluation step:
the coefficient of variation formula of each index is as follows:
in the formula, viCoefficient of variation, σ, of the i-th indexiIs the standard deviation of the i-th index,
the average value of the i index is shown;
the index weight formula is as follows:
in the formula, wiThe index weight of the ith index;
the evaluation score formula is as follows:
in the formula, xiIs the value of the i index.
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