CN113887336A - Intersection pedestrian crossing safety evaluation method and device and computer readable storage medium - Google Patents
Intersection pedestrian crossing safety evaluation method and device and computer readable storage medium Download PDFInfo
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Abstract
A crossing pedestrian crossing safety evaluation method, equipment and a computer readable storage medium relate to the technical field of traffic safety evaluation, the evaluation method can be realized by a computer program, and the evaluation method comprises the following steps: s1: determining an intersection area of an intersection to be evaluated in an electronic map, and determining a sampling point in the intersection area; s2: obtaining street view photos of the sampling points from an electronic map; s3: identifying and acquiring various types of pedestrian street-crossing safety elements from the street view photos; s4: and calculating to obtain the pedestrian crossing safety score of the intersection to be evaluated according to the preset standard score of each type of pedestrian crossing safety element and each type of pedestrian crossing safety element obtained in the step S3.
Description
Technical Field
The invention relates to the technical field of traffic safety evaluation.
Background
With the continuous growth of economy and the continuous development of society, the urban scale and urban population in China grow rapidly, the travel of pedestrians becomes very frequent, and the weak position of the pedestrians in mixed traffic is increasingly emphasized, particularly in crossing street traffic behaviors. The urban traffic intersection has the function of crossing streets by pedestrians besides the function of enabling vehicles to pass through, and in order to improve the street-crossing safety of pedestrians, various passing facilities of the intersection are rapidly developed along with the increase of the traveling activities of the pedestrians. When the pedestrian flow is increased, great pressure is caused to the passing of the intersection, and the passing efficiency of the intersection and the pedestrian crossing safety are seriously influenced. Therefore, the method for evaluating the crossing safety of the pedestrians at the intersection has important significance in urban traffic planning and street quality improvement.
The traditional evaluation of crossing safety of pedestrians at intersections often depends on methods of issuing questionnaires, on-site investigation, consulting urban planning data and the like, so that the crossing safety of pedestrians at intersections is difficult to evaluate quantitatively, a large amount of manpower and material resources are required to be invested, and the short-time automatic large-scale application is difficult.
Disclosure of Invention
In view of the above, the present invention provides a crossing pedestrian crossing safety evaluation method and device, and a computer-readable storage medium, which can reduce resource investment and can be applied in large scale automatically.
In order to achieve the above object, the present invention provides the following technical solutions.
1. The crossing pedestrian crossing safety evaluation method comprises the following steps:
s1: determining an intersection area of an intersection to be evaluated in an electronic map, and determining a sampling point in the intersection area;
s2: obtaining street view photos of the sampling points from an electronic map;
s3: identifying and acquiring various types of pedestrian street-crossing safety elements from the street view photos;
s4: and calculating to obtain the pedestrian crossing safety score of the intersection to be evaluated according to the preset standard score of each type of pedestrian crossing safety element and each type of pedestrian crossing safety element obtained in the step S3.
This is technical scheme 1.
Today, mainstream electronic maps have street view functions, and users can view street view photos. The invention utilizes the existing data and street view photos of the electronic map to determine the intersection to be evaluated, identifies and acquires various types of pedestrian street-crossing safety elements from the street view photos of the intersection, scores the pedestrian street-crossing safety scores of the intersection by combining the standard scores preset by the various types of pedestrian street-crossing safety elements. The evaluation can be completed through a computer program, a large amount of manpower and material resources do not need to be invested, the resource investment is reduced, and the automatic large-scale application can be realized.
2. The crossing pedestrian crossing safety evaluation method according to the technical scheme 1, wherein the step S1 is as follows: extracting interest points of intersection types from an electronic map, determining an intersection area of an intersection to be evaluated according to the interest points, extracting road intersections according to urban road network vector data of the electronic map, and determining the road intersections in the intersection area as sampling points. Different interest points exist in the electronic map for various types of areas, intersections can be found out quickly by extracting the interest points of the intersection types, and road intersection points are extracted by combining urban road network vector data of the electronic map to determine sampling points quickly and accurately. This is technical scheme 2.
3. According to the method for evaluating the pedestrian crossing safety at the intersection in the technical scheme 1, the pedestrian crossing safety elements comprise a zebra crossing, a traffic signal lamp, a safety island, a walking shoulder and pedestrian countdown. This is technical scheme 3.
4. In step S3, the intersection pedestrian crossing safety evaluation method according to claim 1 identifies and obtains various types of pedestrian crossing safety elements through an identification model, and the identification model establishment method includes the following steps:
s301: randomly selecting a preset number of intersection street view photos, manually identifying and marking pedestrian street-crossing safety elements in the street view photos, and making a data set by using the marked street view photos;
s302: randomly dividing the data set into a training set and a verification set according to a preset proportion, training the convolutional neural network by using the training set, constructing the identification model, verifying the identification model by using the verification set, and adjusting the identification model based on a verification result until the identification precision of the identification model reaches the preset proportion.
The recognition model is trained through a deep learning technology to automatically recognize and acquire the pedestrian street-crossing safety elements in the street view picture, so that the recognition accuracy is improved. This is technical scheme 4.
5. The crossing pedestrian crossing safety evaluation method according to the technical scheme 1, wherein the step S4 is as follows: and respectively calculating the pedestrian crossing safety scores of the street view photos of the intersection to be evaluated according to the preset standard scores of the pedestrian crossing safety elements of various types and the pedestrian crossing safety elements of various types acquired in the step S3, and averaging the pedestrian crossing safety scores of the street view photos of the intersection to be evaluated to obtain the pedestrian crossing safety score of the intersection to be evaluated.
6. A computer-readable storage medium, on which an executable computer program is stored, wherein the computer program can implement the intersection pedestrian crossing safety evaluation method according to any one of claims 1 to 5 when executed.
7. Crossing pedestrian crossing safety evaluation equipment comprises a processor and a computer readable storage medium, wherein the computer readable storage medium is the computer readable storage medium according to the technical scheme 6.
Drawings
FIG. 1 is a schematic diagram of examples of manually labeled pedestrian street-crossing security elements of various types.
Fig. 2 is a schematic diagram of examples of pedestrian street-crossing security elements of various types recognized by the recognition model from street view photos of intersections to be evaluated.
Detailed Description
The invention is described in detail below with reference to specific embodiments.
The method for evaluating the crossing pedestrian safety of the intersection comprises the following steps:
step S1: and determining an intersection area of the intersection to be evaluated in the electronic map, and determining a sampling point in the intersection area.
Step S2: obtaining street view photos of the sampling points from an electronic map;
step S3: identifying and acquiring various types of pedestrian street-crossing safety elements from the street view photos;
step S4: and calculating to obtain the pedestrian crossing safety score of the intersection to be evaluated according to the preset standard score of each type of pedestrian crossing safety element and each type of pedestrian crossing safety element obtained in the step S3.
In this embodiment, step S1 includes the following steps:
step S101: and extracting intersection type interest points through the interest point data of the electronic map, and dividing intersection areas by the interest points. In order to determine the traffic intersection with the pedestrian crossing function, map interest point data is selected as a reference, and the map interest point category attribute is used as a reference. Firstly, extracting a category related to a road intersection based on the category attribute of map interest point data, wherein the category of the interest point related to the road intersection is shown in a table 1; secondly, determining influence radiuses of different types of intersections according to the road grades to which the map interest point data belong, wherein the radius of an intersection region of an urban main road intersection is 50m, the radius of an intersection region of a secondary main road intersection is 25m, and the radius of an intersection region of a community street intersection is 10 m; finally, the intersection area is determined based on the radius.
Table 1: road intersection related interest point category
Step S102: a sampling point is determined based on the intersection region and the road intersection determined in step S101. Firstly, processing urban road network vector data based on ArcGIS software, breaking intersecting roads and obtaining road intersection points; secondly, in order to remove the road intersection points of the non-intersection type, the data of the intersection region and the data of the road intersection points in the step S101 are subjected to topology analysis, so that the road intersection points which belong to the intersection region range in space are screened out; and finally, calculating the longitude and latitude of the road intersection point to serve as a sampling point of the intersection.
In this embodiment, step S2 specifically includes:
and calling an electronic map service to obtain the panoramic photo based on the position of the sampling point. And calling an electronic map (such as a Baidu map and a Gade map) API (application program interface) to download the sampled street view photos based on the longitude and latitude of the intersection sampling point, wherein the parameters of calling the API are shown in a table 2.
TABLE 2 streetscape download parameters
Parameter name | Parameter value |
width | 1024 |
height | 512 |
location | Coordinates of sampling points |
coordtype | Wgs84ll |
fov | 360 |
In this embodiment, step S3 is implemented by creating an identification model, and the method for creating an identification model includes the following steps:
step S301: and (4) making a crossing pedestrian crossing safety evaluation data set by using the street view photos. Firstly, a preset number of crossing street view photos are randomly selected, which are not limited to one crossing, and are not necessarily all street view photos of one crossing. Then, pedestrian crossing safety elements such as zebra crossings, traffic lights, safety islands, pedestrian countdown and pedestrian shoulders in the street view photos are manually identified and labeled, as shown in fig. 1. And finally, generating a data list from the marked data to prepare a data set.
Step S302: and training a convolutional neural network based on the data set to construct a recognition model. First, the data set in step S301 is expressed as 8: the ratio of 2 is randomly divided into a training set and a verification set. Then, the ResNet convolutional neural network (or other convolutional neural networks) is trained by using the training set, network parameters are adjusted, and a recognition model is constructed. And finally, verifying the identification model by using a verification set, adjusting the identification model based on a verification result, and finishing the construction of the identification model when the precision of the model on the verification set reaches 89.63 percent, wherein the identification model can be used for identifying and obtaining various types of pedestrian street-crossing safety elements in street view pictures.
The street view picture obtained in step S2 is input into the recognition model constructed in step S302, so as to obtain the detection result of the pedestrian street-crossing security element in the street view picture of the intersection to be evaluated, as shown in fig. 2.
In this embodiment, step S4 includes the following steps:
step S401: and respectively calculating the pedestrian crossing safety scores of the street view photos of the intersections to be evaluated, which are acquired in the step S2 and identified in the step S3. In this embodiment, the specific method is to perform expert scoring to determine the weight of each type of pedestrian crossing safety element according to the influence degree of each type of pedestrian crossing safety element on the crossing safety of the pedestrian at the intersection based on an analytic hierarchy process, construct a crossing pedestrian crossing safety index and calculate the crossing safety score of the pedestrian for convenience, and then map the weight to 0-10 to obtain a weight score (i.e., a standard score), wherein the weight scores of different elements are shown in table 3. Then, respectively calculating the pedestrian crossing safety scores of the street view photos acquired by the intersection to be evaluated in the step S2 and identified in the step S3 according to the standard scores of the pedestrian crossing safety elements of each type, taking a single street view photo as an example, if a certain type of pedestrian crossing safety element exists in the street view photo, the street view photo is marked as 1, otherwise, the street view photo is marked as 0, and then multiplying the standard scores of the pedestrian crossing safety elements of the corresponding type by the standard scores, wherein the formula is as follows:
wherein p is the evaluation score of the pedestrian crossing safety of the intersection street view picture p, n is the category of the intersection pedestrian crossing safety element, and the value is 5 (in this embodiment, there are 5 types of pedestrian crossing safety elements), oiThe value of the safety factor of the i-th class pedestrian crossing is 0 or 1, wiAnd the standard score of the safety factor of the i-th class pedestrian crossing.
TABLE 3 pedestrian crossing safety factor weight scoring table
Element type | Weighted value | Weight score (Standard score) |
Zebra crossing | 33.00% | 3 |
Traffic signal lamp | 20.70% | 2 |
Pedestrian countdown | 9.10% | 1 |
Safety island | 18.20% | 2 |
Walking road shoulder | 19.00% | 2 |
Step S402: and calculating the pedestrian crossing safety score of the intersection to be evaluated. And averaging the pedestrian crossing safety scores of the street view photos of the intersection to be evaluated to obtain the pedestrian crossing safety score of the intersection to be evaluated. The formula is as follows:
wherein S is the pedestrian crossing safety score of the intersection to be evaluated, m is the number of street view pictures contained in the intersection, and piAnd the pedestrian crossing safety score represents the ith street view picture of the intersection.
The intersection pedestrian crossing safety evaluation method of the present embodiment can be implemented by a computer program, which is stored in a computer-readable storage medium. And the pedestrian crossing safety evaluation equipment at the road junction can be established by a computing mechanism and comprises a processor and the computer readable storage medium.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (7)
1. The method for evaluating the crossing safety of pedestrians at the intersection is characterized by comprising the following steps of:
s1: determining an intersection area of an intersection to be evaluated in an electronic map, and determining a sampling point in the intersection area;
s2: obtaining street view photos of the sampling points from an electronic map;
s3: identifying and acquiring various types of pedestrian street-crossing safety elements from the street view photos;
s4: and calculating to obtain the pedestrian crossing safety score of the intersection to be evaluated according to the preset standard score of each type of pedestrian crossing safety element and each type of pedestrian crossing safety element obtained in the step S3.
2. The intersection pedestrian crossing safety evaluation method as claimed in claim 1, wherein step S1 is: extracting interest points of intersection types from an electronic map, determining an intersection area of an intersection to be evaluated according to the interest points, extracting road intersections according to urban road network vector data of the electronic map, and determining the road intersections in the intersection area as sampling points.
3. The method of claim 1, wherein the pedestrian crossing safety factor comprises a zebra crossing, a traffic light, a safety island, a pedestrian shoulder, and a pedestrian countdown.
4. The crossing pedestrian crossing safety evaluation method according to claim 1, wherein in step S3, each type of pedestrian crossing safety element is identified and acquired by an identification model, and the identification model establishment method comprises the following steps:
s301: randomly selecting a preset number of intersection street view photos, manually identifying and marking pedestrian street-crossing safety elements in the street view photos, and making a data set by using the marked street view photos;
s302: randomly dividing the data set into a training set and a verification set according to a preset proportion, training the convolutional neural network by using the training set, constructing the identification model, verifying the identification model by using the verification set, and adjusting the identification model based on a verification result until the identification precision of the identification model reaches the preset proportion.
5. The intersection pedestrian crossing safety evaluation method as claimed in claim 1, wherein step S4 is: and respectively calculating the pedestrian crossing safety scores of the street view photos of the intersection to be evaluated according to the preset standard scores of the pedestrian crossing safety elements of various types and the pedestrian crossing safety elements of various types acquired in the step S3, and averaging the pedestrian crossing safety scores of the street view photos of the intersection to be evaluated to obtain the pedestrian crossing safety score of the intersection to be evaluated.
6. A computer-readable storage medium, on which an executable computer program is stored, wherein the computer program is capable of implementing the intersection pedestrian crossing safety evaluation method according to any one of claims 1 to 5 when executed.
7. Intersection pedestrian crossing safety evaluation equipment, comprising a processor and a computer readable storage medium, characterized in that the computer readable storage medium is the computer readable storage medium according to claim 6.
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