CN115481329A - Boarding point determination method, computer storage medium, and computer program product - Google Patents
Boarding point determination method, computer storage medium, and computer program product Download PDFInfo
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Abstract
The embodiment of the application provides a boarding point determining method, a computer storage medium and a computer program product, wherein the boarding point determining method comprises the following steps: generating basic vehicle points along corresponding roads according to road data in the road network data and a preset distance interval; determining the popularity of the basic vehicle-entering points according to the vehicle-entering points of the orders of the historical travel orders of the road within a preset time period; acquiring a base vehicle-entering point with the heat degree meeting a preset heat degree standard as a candidate base vehicle-entering point; and comparing the candidate base boarding points with the pre-screened experience boarding points, and generating recommended boarding points on the road according to a comparison result. Through this application embodiment, can provide stable and more accurate point of getting on bus.
Description
Technical Field
The embodiment of the application relates to the technical field of geographic information, in particular to a boarding point determining method, a computer storage medium and a computer program product.
Background
With the development of intelligent transportation technology, more and more people rely on a network car booking platform to take a bus for going out. In the travel scene, the network car booking platform can intelligently recommend the boarding points according to the positions of passengers. The boarding point needs to be a position where a driver and a passenger easily meet and conveniently park to improve riding efficiency.
When an existing network taxi appointment platform determines a taxi taking point, a clustering algorithm is generally adopted to find a position with a large taxi taking frequency in an order set as the taxi taking point. However, the inventor finds that a certain randomness exists in the clustering algorithm, and even if the same order sets are in the same geographic area, the calculation results in different times are different, so that the boarding points cannot be named uniformly, and the boarding points recommended to the user are unstable (become different), so that the user experience is poor.
Disclosure of Invention
In view of the above, embodiments of the present application provide a boarding point determination scheme to at least partially solve the above problems.
According to a first aspect of embodiments of the present application, there is provided a boarding point determination method, including: generating basic vehicle points along corresponding roads according to road data in the road network data and a preset distance interval; determining the heat of the basic vehicle-entering points according to the vehicle-entering points of the historical travel orders of the road within a preset time period; obtaining candidate base driving points with the heat degree meeting a preset heat degree standard; and comparing the candidate base vehicle-entering points with the pre-screened experience vehicle-entering points, and generating recommended vehicle-entering points on the road according to the comparison result.
According to a second aspect of embodiments of the present application, there is provided a boarding point determination device including: the generating module is used for generating basic vehicle points along corresponding roads according to road data in the road network data and a preset distance interval; the popularity module is used for determining popularity of the basic vehicle-entering points according to the vehicle-entering points of the historical travel orders of the road within a preset time period; the acquisition module is used for acquiring candidate base vehicle-entering points with the heat degrees meeting a preset heat degree standard; and the determining module is used for comparing the candidate base boarding points with the pre-screened experience boarding points and generating the recommended boarding points on the road according to the comparison result.
According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the corresponding operation of the boarding point determination method according to the first aspect.
According to a fourth aspect of embodiments of the present application, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the boarding point determination method according to the first aspect.
According to a fifth aspect of embodiments of the present application, there is provided a computer program product including computer instructions for instructing a computing device to execute operations corresponding to the boarding point determination method according to the first aspect.
According to the boarding point determination scheme provided by the embodiment of the application, the generated basic boarding points on the road are taken as the basis, the candidate basic boarding points and the experience boarding points are combined for comparison and screening, and the final recommended boarding points are determined based on the comparison result. On one hand, the vehicle points are stable on the basis of the preset distance interval generation and cannot be changed repeatedly due to the randomness problem; on the other hand, the points are screened based on the heat of the points, the points with higher heat, namely the points frequently used, are screened from the points on the stable basis, and the points on the high heat can be subjected to auxiliary determination and correction again by combining with the points on the experience to obtain the more optimized points on the high heat. Therefore, the stable and more accurate boarding point can be provided through the embodiment of the application. Therefore, unified naming of the boarding points is facilitated, and user experience can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments described in the embodiments of the present application, and other drawings can be obtained by those skilled in the art according to these drawings.
Fig. 1A is a flowchart illustrating steps of a boarding point determination method according to a first embodiment of the present application;
FIG. 1B is a diagram illustrating an example of a scenario in the embodiment shown in FIG. 1A;
FIG. 2 is a flowchart illustrating steps of a pick-up point determination method according to a second embodiment of the present application;
fig. 3 is a block diagram of a boarding point determination device according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of the protection of the embodiments in the present application.
The following further describes specific implementations of embodiments of the present application with reference to the drawings of the embodiments of the present application.
Example one
Referring to fig. 1A, a flowchart illustrating steps of a boarding point determination method according to a first embodiment of the present application is shown.
The boarding point determining method of the embodiment comprises the following steps:
step S102: and generating basic vehicle points along the corresponding roads according to the road data in the road network data and the preset distance interval.
The road network data contains rich road data and information, including but not limited to: length, width, lane number, specific lane information, building information on both sides of a lane, POI (point of interest) information, intersection information, gap information and the like, wherein each road corresponds to own road data.
In order to obtain more stable boarding point data, in this embodiment, a distance interval for determining the boarding point is further preset, and the distance interval may be set by a person skilled in the art in practical application according to practical requirements, for example, 30M. The smaller the distance interval, the greater the upper vehicle spot density and the more accurate the accuracy, but the greater the data processing load, and the larger the distance interval, the smaller the upper vehicle spot density and the less the data processing load. Therefore, the distance interval needs to be set appropriately to balance the boarding point density and the data processing load. In one possible manner, a plurality of interval levels may be set to correspond to different distance intervals, respectively. For example, there may be five ranks, 1B, 2B, 3B, 4B, 5B, respectively, and if 1b =30m,2b =60m,3b =90m, and so on. Specifically, for example, road a is 3000M long, and assuming that a 1B rank is used for it, i.e., at a distance interval of 30M, 3000/30+1=101 boarding points will be generated for it. Among them, the point of getting on needs to be considered as the starting or ending position point of the road, and therefore, "+1" is required. In practical application, however, the number of the vehicle-entering points at the corresponding position on the other side of the road can be increased in consideration of bilateral nature of the road.
The generation of boarding points on the road, also called sprinkles, is based on distance intervals, i.e. boarding points are generated one by one on the road. In the embodiment of the application, the boarding points generated by sprinkling points are called basic boarding points.
Step S104: and determining the popularity of the basic vehicle-entering points according to the vehicle-entering points of the orders of the historical travel orders of the road in a preset time period.
Generally, each travel order corresponds to an order pick-up point, which is the actual pick-up point of the passenger for the travel order. In this embodiment, the heat of the basic vehicle-entering point is obtained based on the basic vehicle-entering point and the order vehicle-entering point.
In practical application, the corresponding basic vehicle-entering points can be determined according to the distances between the vehicle-entering points of the order and the vehicle-entering points on different bases, and then the heat degree of the vehicle-entering points on the basis can be determined. For example, if the distance interval between adjacent base pick-up points is 30M, the heat obtained from the order pick-up point may be attributed to the corresponding base pick-up point by 15M as a boundary point. For example, for basic departure points X and Y, if the distance X to departure point 1 of an order is 10M, the distance Y is 20M; the distance X of the order boarding point 2 is 5M, and the distance Y is 25M; the distance X of the order boarding point 3 is 12M, and the distance Y is 18M; the distance X between the order boarding points 4 is 20M, and the distance Y is 10M; the order entry point 5 is 22M away from X and 8M away from Y. Then, the heat of the order getting-on points 1, 2 and 3 is attributed to the basic getting-on point X, namely the heat of the basic getting-on point X is 3; the heat of the order pick-up points 4 and 5 is attributed to the basic pick-up point Y, i.e. the heat of the basic pick-up point Y is 2.
Therefore, the popularity of the basic vehicle-entering points is determined based on the order vehicle-entering points, so that the popularity is objective; meanwhile, the order getting-on point corresponds to the basic getting-on point, and the basic getting-on point is a stable getting-on point, so that subsequent processing aiming at the getting-on point is carried out on the basis of the stable getting-on point, and the stability of the whole scheme is guaranteed.
In addition, in this step, the preset time period may be set by a person skilled in the art according to actual needs, for example, a month or several months or a year before the current date, and the embodiment of the present application does not limit this.
Step S106: and acquiring the basic vehicle-entering point with the heat degree meeting the preset heat degree standard as a candidate basic vehicle-entering point.
The heat standard can be correspondingly set based on the heat value of the boarding point or correspondingly set after being processed.
Based on the heat value, those base points that satisfy a preset heat criterion (the heat value can be used as the criterion, and a further criterion can be determined by using the heat value as a parameter) can be screened out from the base points, and the base points are candidate base points.
Step S108: and comparing the candidate base vehicle-entering points with the pre-screened experience vehicle-entering points, and generating recommended vehicle-entering points on the road according to the comparison result.
In this embodiment, empirical vehicle entering points are also pre-screened and set, and the empirical vehicle entering points can be manually set, and those POI points having a high actual vehicle entering probability or a high vehicle entering frequency are selected as vehicle entering points and associated or corresponding to the basic vehicle entering points. But is not limited to manual setting, big data statistics or other suitable means may be equally applicable.
The candidate-based boarding points are based on actual travel data, and the screening of relatively objective boarding points can be guaranteed; the empirical approach points are based on empirical or statistical results and can be used as an aid or supplement to the approach points on a candidate basis.
Based on the above, the candidate-based vehicle point and the pre-screened empirical vehicle point are compared to obtain a comparison result, for example, the candidate-based vehicle point and the empirical vehicle point are completely overlapped, or partially overlapped and partially misaligned, or completely misaligned, and the like. Accordingly, a recommended boarding point on the corresponding road can be generated.
For example, for a certain road, the vehicle-entering point with superposition in the candidate base vehicle-entering point and the experience vehicle-entering point is firstly determined as a recommended vehicle-entering point; then, for the non-coincident boarding points, corresponding setting is performed by a person skilled in the art according to actual needs, for example, the remaining candidate-based boarding points are also determined as recommended boarding points, or the remaining empirical boarding points are determined as recommended boarding points, and the like, and at least one recommended boarding point corresponds to each road. The recommended boarding point can be provided for a network car booking platform in the follow-up process, and is recommended to the passenger for use after the passenger sends out a travel order.
Hereinafter, the above-described process is exemplarily illustrated with a specific example, as shown in fig. 1B.
In the example shown in fig. 1B, assuming that the length of the road X is 300M, 300/30+1=11 basic points are generated on the road X at a distance interval of 30M, and the basic points are the points a, B, C \8230 \ 8230, K. Further, it is assumed that the calculated heat values of the 11 boarding points are 100, 10, 90, 12, 15, 95, 20, 50, 28, 130, and 10, respectively. In fig. 1B, the information is represented by a broken line diagram, in which the abscissa axis on which the broken line diagram is located is the axis of the basic vehicle point, and the ordinate axis is the axis of the heat value corresponding to the vehicle point on each basis. Meanwhile, it is assumed that the empirical boarding points (illustrated as dashed rectangles in the figure) are boarding points a, C, H, and J, respectively. In this example, the heat standard is simply set to a value of 80, but it will be understood by those skilled in the art that in practical applications, the setting of the heat standard may be more complicated and accurate. In this case, the base pick-up points a, C, F, and J are screened out as candidate base pick-up points (illustrated as dotted circles in the figure). Of the candidate base boarding points, A, C and J are coincident with the empirical boarding points and can be directly determined as recommended boarding points. However, the departure point F does not coincide with the departure point H, and in this example, it is simply set that the departure point is selected on an empirical basis rather than on a candidate basis, and based on this, the departure point H is selected, and the departure point F is ignored. Finally, the boarding points a, C, H, and J are determined as recommended boarding points. Similarly, if a candidate base pick-up point is selected over the empirical pick-up point, pick-up point H is ignored, pick-up point F is selected, and eventually pick-up points A, C, F, and J will be considered as recommended pick-up points.
It can be seen that, with the present embodiment, based on the generated basic boarding points on the road, the candidate basic boarding points and the empirical boarding points are combined for comparative screening, and the final recommended boarding points are determined based on the comparison result. On one hand, the vehicle points are stable on the basis of the preset distance interval generation, and can not change repeatedly due to the randomness problem; on the other hand, the boarding points are screened based on the heat of the boarding points, the boarding points with higher heat, namely frequently used boarding points, are screened from the stable boarding points, and the screened boarding points with higher heat can be subjected to auxiliary determination and correction again by combining with the experience boarding points to obtain more optimal boarding points. Therefore, according to the embodiment, a stable and more accurate boarding point can be provided. Therefore, unified naming of the boarding points is facilitated, and user experience can be improved.
The pick-up point determination method of the present embodiment may be performed by any suitable electronic device having data processing capabilities, including but not limited to: server, mobile terminal (such as mobile phone, PAD, etc.), PC, etc.
Example two
Referring to fig. 2, a flowchart illustrating steps of a boarding point determination method according to a second embodiment of the present application is shown.
The boarding point determining method of the embodiment comprises the following steps:
step S202: and generating basic vehicle points along corresponding roads according to the road data in the road network data and a preset distance interval.
In this step, the vehicle entering points, i.e., basic vehicle entering points, are uniformly generated for each road by taking the road as a unit according to the road network data. The basic vehicle point can be used for measuring and expressing the position of the vehicle point, so that the basic vehicle point can be used as a scale or resolution to approach the real position of the vehicle point. By uniformly generating the basic vehicle-entering points, the difficulty of realizing the scheme can be greatly reduced, and the realizability of the scheme and the stability of the vehicle-entering points are improved.
In one example, a distance interval B, also referred to as a scale B, is set, taking 30 meters as an example. Given a road X, the number of segments to be divided is determined, for example, the road X is 120 meters, and the scale of 30 meters, the road X needs to be divided into 120/30=4 segments, and the final divided point is determined as the basic driving point. For another example, if the road Y is a road of 130 meters and the scale of 30 meters, the road Y needs to be cut into segments of 130/30=4.33, in which case the road Y may be rounded up to 4 segments, and then the road Y is evenly divided into 4 segments by 130 meters, and the final division point is determined as the basic driving point.
It should be noted that in some cases, such as a case where two or more roads have an intersection, if the intersection is taken as a basic point, it will belong to at least two roads. In this case, in order to improve the accuracy of the boarding point, it can be determined whether there is a basic boarding point associated with multiple roads; if so, the basic vehicle points related to the plurality of roads are only used as the basic vehicle points of the road with the highest road grade in the plurality of roads. The road grade may be set by a person skilled in the art as appropriate according to whether the road is a main road, a traffic flow condition of the road, a heat condition of the road, and the like. Of course, other indicators may be used to set the road grade. Therefore, the getting-on point can be ensured to belong to a certain road stably. It should be noted that the plurality of road suggestions relating to the base upper points use the same distance interval to generate the base upper points, so as to ensure the overall consistency of the base upper points.
Step S204: and determining the popularity of the basic vehicle-entering points according to the vehicle-entering points of the orders of the historical travel orders of the road in a preset time period.
Wherein, the specific time setting of the preset time period can be set by the technicians in the field according to the actual requirement.
In one possible approach, this step can be implemented as: obtaining a plurality of order getting-on points of the historical travel orders of the road within a preset time period; determining order boarding points which are far away from the basic boarding points and meet the set distance condition; and determining the heat of the basic vehicle-entering point, wherein the heat is equal to the times of the historical travel orders of the order vehicle-entering points which are far away from the basic vehicle-entering point and meet the set distance condition. The set distance condition may also be set by a person skilled in the art as appropriate according to actual needs, and optionally, an order entry point within a range of a distance interval (i.e., a distance interval when the base entry point is generated) from which the distance from the base entry point is half of the distance from the base entry point may be determined as an order entry point having a distance satisfying the set distance condition. Therefore, the heat statistics of the vehicle-entering points on the basis are more objective and accurate, and the stability of the vehicle-entering points is guaranteed.
Step S206: and acquiring the basic vehicle-entering point with the heat degree meeting the preset heat degree standard as a candidate basic vehicle-entering point.
If the popularity of the base pick-up point is more concentrated, which indicates that most passengers choose to pick up at the position of the base pick-up point, the base pick-up point can be used as a candidate base pick-up point.
In a possible specific implementation manner, it may be determined whether the heat of the base vehicle point is greater than a preset heat threshold, and whether the heat of the base vehicle point is greater than that of other base vehicle points, where distances from the other base vehicle points to the base vehicle point are within a preset distance range; and when the judgment results are yes, determining the basic vehicle-entering point as a candidate basic vehicle-entering point. The preset heat threshold and the preset distance range can be set properly by those skilled in the art according to actual requirements. Further, whether the difference value of the heat degree of the basic vehicle point and the adjacent basic vehicle point is larger than a preset difference threshold value or not can be judged in a combined mode; and determining the basic vehicle-entering point as a candidate basic vehicle-entering point when the heat degree of the basic vehicle-entering point is greater than a preset heat degree threshold value, the heat degree of the basic vehicle-entering point is greater than that of other basic vehicle-entering points, and the heat degree difference value between the basic vehicle-entering point and the adjacent basic vehicle-entering point is greater than a preset difference value threshold value. The candidate base vehicle-entering points in a certain range can be accurately determined by judging the heat degree of the base vehicle-entering points and judging whether the heat degree is higher than that of other base vehicle-entering points or not, and the determination of the candidate base vehicle-entering points can be ensured to be more consistent with the actual vehicle-entering point condition by combining the judgment of the heat degree difference value of the adjacent base vehicle-entering points.
For example, if the degree of heat of one base point a is 100 (indicated as H = 100), the degree of heat of the base point a is 20% higher than those of other base points in the periphery (indicated as P = 20%), and there is no higher peak point of heat among 3 base points in the vicinity of the base point a (indicated as M = 3), the base point a can be regarded as a candidate base point.
Therefore, when the candidate base vehicle points are determined, the heat H of the base vehicle points, the relative quantity P which needs to be increased relative to the vehicle points on the side base and the minimum distance M between the two heat peak values are considered, so that the determination of the candidate base vehicle points can be more objective and accord with the distribution of the actual vehicle points.
Step S208: and comparing the candidate base vehicle-entering points with the pre-screened experience vehicle-entering points, and generating recommended vehicle-entering points on the road according to the comparison result.
Empirical pick-up points may also be considered in combination for stable and reasonable final recommended pick-up points. In one possible approach, POI spots that are located significantly or highly hot, such as courtyards, bus stops, subway crossings, and road network intersections, may be manually set, for example based on expert experience, and mapped to the base pick-up point as an experienced pick-up point. That is, a plurality of preset POI points may be acquired; then, determining the vehicle-based points closest to the preset POI points; and taking each determined basic vehicle getting-on point as an empirical vehicle getting-on point. But not limited thereto, those skilled in the art may also obtain or determine the empirical vehicle arrival point by other means, such as directly selecting from the basic vehicle arrival points or obtaining the POI point through big data statistics and then corresponding to the basic vehicle arrival point, etc. Whether the candidate based entry points obtained based on the heat value or the empirically determined entry points set empirically may be limited to the respective viewing angles, and the selected candidate entry points may be at risk of overfitting. For this purpose, the two are combined and verified against each other.
In one possible approach, a candidate base pick-up point that coincides with an empirical pick-up point may be determined as the pick-up point with the highest confidence level. That is, in order to reflect the verification result, the credibility of the previous two candidate boarding points can be divided into different grades, the boarding points meeting the two candidates at the same time are determined as preferred candidates, and powerful support is provided for determination of the subsequently recommended boarding points.
However, there may be a case where part of the boarding points cannot satisfy both of them at the same time, and in this case, the remaining candidate base boarding points that are not coincident with the experienced boarding points among the candidate base boarding points and the remaining experienced boarding points that are not coincident with the candidate base boarding points among the experienced boarding points may be determined respectively; and determining the vehicle-entering points on the basis of the remaining candidates or the remaining empirical vehicle-entering points as the vehicle-entering points with high reliability grade according to a preset rule. Based on the above, the boarding point with the highest credibility grade and the boarding point with the highest credibility grade can be determined as the recommended boarding point on the road. The preset rule can be set by a person skilled in the art according to actual requirements, for example, a next higher level is set for the vehicle points on the basis of the remaining candidates or a next higher level is set for the vehicle points on the basis of the remaining experiences. Therefore, the more reasonable recommended boarding points can be obtained, and the number of the boarding points can be ensured.
In addition, in a case where there may be no boarding point satisfying both the two points, in one possible manner, if there is no candidate base boarding point that coincides with the experienced boarding point, the candidate base boarding point is determined as the recommended boarding point, or the experienced boarding point is determined as the recommended boarding point. For example, the corresponding boarding point confidence level may be determined according to the respective weights corresponding to the candidate base boarding point and the experience boarding point. The specific weight can be set by a person skilled in the art according to actual requirements, and if the specific weight is more dependent on a heat statistical result, a larger weight can be set for the vehicle points on a candidate basis; whereas if it is more dependent on manual experience, more weight may be given to experienced points. Optionally, the sum of the two weights may be 1 to facilitate data calculation and processing. The method is adopted to screen the boarding points, so that the realization is simpler and the realization cost is low.
In another feasible mode, if the candidate base vehicle-entering point coincident with the experience vehicle-entering point does not exist, the corresponding vehicle-entering point credibility level is determined according to the trip heat of the candidate base vehicle-entering point. Because the candidate basic vehicle-entering points or the empirical vehicle-entering points are partial vehicle-entering points in the basic vehicle-entering points and correspond to the corresponding travel enthusiasm, the reliability level can be determined according to the travel enthusiasm of the candidate basic vehicle-entering points or the empirical vehicle-entering points, for example, the higher the travel enthusiasm is, the higher the reliability level is. But not limited to, the corresponding weight can be set by considering whether the boarding point belongs to the candidate base boarding point or the experience boarding point based on the travel heat degrees of the boarding points, namely the travel heat degree of the weight is combined to determine the boarding point credibility grade. By adopting the mode, the travel heat is taken as the basis, so that the determination of the reliability grade is more objective.
For example, three confidence levels are set, one level, two levels, and three levels in order from top to bottom. Then the grade of the boarding point where the experienced boarding point and the candidate-based boarding point coincide is one grade. Further, if there is no primary pick-up point or a certain pick-up point is not primary, secondary and tertiary pick-up points may be determined respectively according to the above manner, and a pick-up point on a possible candidate basis may be a secondary empirical pick-up point and a pick-up point on a possible candidate basis may also be a secondary candidate basis may be a tertiary.
And after the credibility level of the screened boarding points is determined, the recommended boarding points on each road can be determined.
In some cases, however, the base vehicle-entering points on a certain road are sparse, resulting in more sparse recommended vehicle-entering points. For this case, optionally, the following optional step S210 may also be performed.
Step S210: determining the total heat of the road, and judging whether the recommended boarding point needs to be added to the road according to the road width of the road and/or the total heat of the road; and if so, adding a recommended boarding point on the road according to the road width of the road and the total heat of the road.
Wherein the total heat of the road is the sum of the heat of the base vehicle points on the road.
The wider the road, the less likely its corresponding recommended pick-up point will be; similarly, the higher the total heat of a road, the less likely its corresponding recommended pick-up point is. For this reason, whether the recommended boarding point of the road needs to be increased or not can be judged according to the road width of the road and/or the total heat of the road. The specific judgment standard can be set by a person skilled in the art according to actual conditions, and if the total width of the road is greater than a certain width threshold and/or the total heat of the road is greater than a certain heat threshold, it is determined that the vehicle-entering point needs to be added to the road. At this time, the road width of the road and the total heat of the road may be combined to determine how to add the recommended boarding point on the road. Specific supplementary rules can be adopted, such as adding the previously filtered experience vehicle-entering points or candidate base vehicle-entering points and the like.
But not limited thereto, in a preferred feasible manner, the first supplemental interval may be determined according to the road width of the road to be supplemented with the recommended boarding point, the preset normalized width, and the distance interval; determining the average road heat of the road of the recommended boarding point to be supplemented according to the total heat and the road length of the road of the recommended boarding point to be supplemented, and determining a second supplementing interval according to the average road heat; determining a target supplement interval according to the first supplement interval and the second supplement interval; and adding the boarding points serving as the recommended boarding points on the road to be supplemented with the recommended boarding points according to the target supplementing interval. During specific supplement, the recommended departure point can be supplemented by using a distance interval different from the departure point generated on the basis of the road to be supplemented, so that the fault tolerance rate of departure point supplement is improved, and more ranges are covered. The preset normalized width is used to enable different road widths to correspond to different supplement intervals, and in specific implementation, the normalized width may be implemented as a road width of a widest road in the road network data, or may be implemented as a preset road width threshold. The road width threshold may be set according to actual road conditions in a road network, or according to big data statistics, etc., and may be set to 24 meters, for example, in this case, even if the road width of the widest road is greater than 24 meters actually, 24 meters are still used as the road width threshold, so as to simplify the algorithm, and the road width of the road in the road network may be effectively controlled based on data processing.
However, when the target supplement interval is determined, the target supplement interval corresponding to the road of the recommended boarding point to be supplemented may be determined directly according to the road width of the road of the recommended boarding point to be supplemented and according to the preset mapping relationship between the plurality of road widths and the target supplement interval. Or, the interval grade corresponding to the road of the recommended boarding point to be supplemented may be determined according to the road width of the road of the recommended boarding point to be supplemented and the preset mapping relationship between a plurality of road widths and the interval grade, and then the target supplement interval corresponding to the road of the recommended boarding point to be supplemented may be finally determined according to the mapping relationship between the interval grade and the distance interval. In some cases, if the road width of the road of the to-be-supplemented recommended boarding point cannot strictly correspond to the road width in the mapping relationship, the road width closest to the road of the to-be-supplemented recommended boarding point in the mapping relationship may be taken to determine the target supplement interval, or the target supplement interval may be determined after the interval level is determined.
For example, a plurality of distance intervals of different levels are first set, and the distance intervals are applicable to both generation of the base pick-up point and supplement of the recommended pick-up point. Assuming that S levels are preset, if S =5, there are 5 distance intervals: 1B, 2B, 3B, 4B and 5B. In this example, it is assumed that 1b =30m,2b =60m,3b =90m,4b =120m,5b =150m. However, this is only an exemplary illustration, and in practical applications, a person skilled in the art may set the corresponding distance intervals according to actual needs, and the difference between the distance intervals is not necessarily equal.
Then, a first supplemental interval is determined. For example, the road width is denoted by W, which may approximate road rank, and the wider a road is, the easier it may be understood to get on or off the vehicle, and may allow more basic and recommended points of getting on the vehicle. Alternatively, the following formula may be used to determine the interval level, and then determine the first supplemental interval based on the interval level;
W_Score＝FLOOR((1-W/MAX(W))*S)+1
wherein, W _ Score represents the interval grade corresponding to the road width W, FLOOR represents rounding-down, W represents the road width of the road to be supplemented with the recommended boarding point, W >0, max (W) represents the width of the widest road in the road network, and S represents the scale (i.e. the grade corresponding to the preset distance interval) used when the recommended boarding point road is generated. Exemplarily, the scale may be divided into 5 levels, as described above, i.e. S =5 as described above.
For example, W =3m, max (W) =24m, s =5b, then the corresponding W _ Score is 5, i.e., 5B. And 5B corresponds to a distance interval of 150M, based on which the first supplemental interval can be determined to be 150M.
As another example, W =24m, max (W) =24m, s =5b, then the corresponding W _ Score is 1, i.e., 1B. And 1B corresponds to a distance interval of 30M, based on which the first supplemental interval can be determined to be 30M.
It will be apparent to those skilled in the art that the first supplemental interval can be obtained by replacing S with the distance interval and adapting and replacing 1 in the equation. However, by adopting the formula form, the calculation can be simplified, the calculation cost can be reduced, and the method is applicable regardless of the arrangement of the distance interval between the S and the distance, and has greater flexibility and higher compatibility.
Next, a second supplemental interval may be determined. For example, the average road heat is represented by h, which reflects the usage as the boarding area in the unit length of the road to be supplemented with the recommended boarding point, and the recommended boarding point is more easily used for the road with higher heat, which may allow more basic boarding points and recommended boarding points.
Wherein:
road average heat H = road total heat H/road length L
Wherein, the total heat H of the road is the sum of the heat of all the boarding points on the road.
Optionally, h may be normalized first, that is:
h＝(h-min(h))/(max(h)-min(h))
where min (h) represents the minimum value of the average heat per unit length on the road, and max (h) represents the maximum value of the average heat per unit length on the road.
Based on this, optionally, the following formula may be used to determine the interval level, and then the second supplemental interval based on the interval level:
H_Score＝CEIL((1-h-e)*S)
wherein H _ Score represents the interval grade corresponding to the average road heat H of the road to be supplemented with the boarding point; CEIL denotes rounding up; e is a very small number which can range from (0, 10) -10 When h =1 is prevented, the interval grade is not increased correspondingly; s represents a scale (i.e., a level corresponding to a preset distance interval) used when the upper vehicle point is generated on the road to be supplemented. Exemplarily, the scale may be divided into 5 levels, as described above, i.e., S =5 as described above.
After H _ Score is determined, the second supplemental interval may be determined in the manner described above with reference to determining the first supplemental interval.
Then, after the first supplementary interval and the second supplementary interval are obtained, a target supplementary interval may be determined. Alternatively, the following formula may be used to determine the interval level first, and then determine the target supplemental interval based on the interval level. The formula is:
b＝Round(W_Score*w1+H_Score*w2)
wherein b represents the interval grade of the road of the recommended boarding point to be supplemented; w1, w2 are weights, w1+ w2=1; round is rounding; w _ Score represents an interval level corresponding to the first supplementary interval, and H _ Score represents an interval level corresponding to the second supplementary interval. Generally, w2 may be set greater than w1 to make the supplemental recommended departure point more consistent with the actual situation.
After b is determined, the target supplement interval may be determined by referring to the manner of determining the first supplement interval or the second supplement interval.
After the target supplement interval is determined, for the selected recommended boarding points, the roads can be cut off according to the existing recommended boarding points, and in each segment (L1), the boarding points are selected according to the distance interval corresponding to the interval grade b (the selection is still performed based on the basic boarding points), the number of the boarding points to be selected is ROUND (L1/b), and the selected boarding points are the supplement recommended boarding points of the road.
For example, if the interval between two recommended boarding points is 5 basic boarding points (L1 = 5) and the calculated road interval rank is b =3, ROUND (5.0/3) =2 basic boarding points need to be selected again, and the selection order is, for example, sequentially from a boarding point with a higher heat value. And forming a final recommended boarding point based on the original recommended boarding point and the supplemented recommended boarding point.
It should be noted that if only basic entering points, for example, entering points with entering point heat satisfying the preset heat standard, are located before a road, the recommended entering points cannot be effectively obtained by the road in the manner described above. In this case, through the interval level b, a recommended boarding point can be selected from basic boarding points for the road, so as to avoid the phenomenon that an effective recommended boarding point cannot be obtained on a road with fewer people.
In addition, in a possible manner, the basic vehicle points that have not been selected through the above-mentioned multiple screening and determination, that is, the remaining basic vehicle points, may also be retained, but considered to be of a relatively low weight, so as to be used as the last layer of vehicle points on the bottom of the pocket under the unpredictable condition.
In the scheme, on one hand, the generated base vehicle-entering points are relatively fixed and are used as the scale base generated by the whole recommended vehicle-entering points, so that the scheme is more stable as a whole; on the other hand, the candidate boarding points are selected from the relatively stable boarding points meeting the heat standard and the boarding points following manual experience, and the positions are stable because the selected boarding points are also expressed by the basic boarding points; on the other hand, the distribution of the upper vehicle points is greatly thinned, the sensitivity of the naming of the upper vehicle points can be reduced, the naming is relatively fixed, and meanwhile, the recommendation is simpler; in another aspect, stable boarding points and naming can bring better user experience, operation and maintenance efficiency can be improved, and maintained boarding point data can be transmitted according to position coordinates and cannot be changed along with iteration.
The pick-up point determination method of the present embodiment may be performed by any suitable electronic device having data processing capabilities, including but not limited to: server, mobile terminal (such as mobile phone, PAD, etc.), PC, etc.
EXAMPLE III
Referring to fig. 3, a block diagram of a boarding point determination device according to a third embodiment of the present application is shown.
The boarding point determination device of the present embodiment includes: a generating module 302, configured to generate basic vehicle points along corresponding roads according to road data in the road network data and a preset distance interval; the popularity module 304 is configured to determine popularity of the basic vehicle-entering points according to the vehicle-entering points of the historical travel orders of the road within a preset time period; the obtaining module 306 is configured to obtain a vehicle entering point with a heat degree meeting a preset heat degree standard as a candidate vehicle entering point; and the determining module 308 is configured to compare the candidate base boarding point with the pre-screened experience boarding points, and generate a recommended boarding point on the road according to a comparison result.
Optionally, the heat module 304 is configured to obtain a plurality of order getting-on points of the historical travel order of the road within a preset time period; determining order boarding points which are far away from the basic boarding points and meet the set distance condition; and determining the heat of the basic vehicle-entering point, wherein the heat is equal to the times of the historical travel orders of the order vehicle-entering points which are far away from the basic vehicle-entering point and meet the set distance condition.
Optionally, the obtaining module 306 is configured to determine whether the heat of the basic vehicle-entering point is greater than a preset heat threshold, and determine whether the heat of the basic vehicle-entering point is greater than that of other basic vehicle-entering points, where distances from the other basic vehicle-entering points to the basic vehicle-entering point are within a preset distance range; and when the judgment results are yes, determining the basic vehicle-entering point as a candidate basic vehicle-entering point.
Optionally, the obtaining module 306 is further configured to determine whether a difference between the heat degrees of the basic vehicle point and the basic vehicle point adjacent to the basic vehicle point is greater than a preset difference threshold; and when the heat degree of the basic vehicle-entering point is greater than a preset heat degree threshold value, the heat degree of the basic vehicle-entering point is higher than that of other basic vehicle-entering points, and the heat degree difference value between the basic vehicle-entering point and the adjacent basic vehicle-entering point is greater than a preset difference value threshold value, determining the basic vehicle-entering point as a candidate basic vehicle-entering point.
Optionally, the determining module 308 is configured to compare the candidate base vehicle-entering point with a pre-screened empirical vehicle-entering point, and determine a candidate base vehicle-entering point that coincides with the empirical vehicle-entering point as a vehicle-entering point with a highest confidence level; respectively determining residual candidate basic vehicle-entering points which are not coincident with the empirical vehicle-entering points in the candidate basic vehicle-entering points, and residual empirical vehicle-entering points which are not coincident with the empirical vehicle-entering points in the empirical vehicle-entering points; determining the remaining candidate based vehicle-entering points or the remaining experience vehicle-entering points as vehicle-entering points with high reliability grade according to a preset rule; and determining the boarding point with the highest credibility grade and the boarding point with the high credibility grade as recommended boarding points on the road.
Optionally, the getting-on point determining device of this embodiment further includes: a supplement module 310, configured to determine a total heat of the road, where the total heat of the road is a sum of heats of base vehicle points on the road; judging whether recommended boarding points need to be added to the road according to the road width of the road and/or the total heat of the road; and if so, adding a recommended boarding point on the road according to the road width of the road and the total heat of the road.
Optionally, the supplementing module 310 is configured to determine a first supplementing interval according to the road width of the road to be supplemented with the recommended boarding point, a preset normalized width, and the distance interval; determining the road average heat of the road according to the total heat and the road length of the road of the recommended boarding point to be supplemented, and determining a second supplementing interval according to the road average heat; determining a target supplementary interval according to the first supplementary interval and the second supplementary interval; and adding the boarding points serving as recommended boarding points on the road of the recommended boarding points to be supplemented according to the target supplement interval and the basic boarding points.
Optionally, the generating module 302 is further configured to determine whether there is a basic vehicle point associated with multiple roads; and if so, taking the basic vehicle point as the basic vehicle point of the road with the highest road grade in the plurality of roads.
The boarding point determination device of this embodiment is used to implement the corresponding boarding point determination method in the foregoing method embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein again. In addition, the functional implementation of each module in the getting-on point determining device of this embodiment can refer to the description of the corresponding part in the foregoing method embodiment, and is not repeated here.
Example four
Referring to fig. 4, a schematic structural diagram of an electronic device according to a fourth embodiment of the present application is shown, and the specific embodiment of the present application does not limit a specific implementation of the electronic device.
As shown in fig. 4, the electronic device may include: a processor (processor) 402, a Communications Interface 404, a memory 406, and a Communications bus 408.
Wherein:
the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408.
A communication interface 404 for communicating with other electronic devices or servers.
The processor 402 is configured to execute the program 410, and may specifically execute the relevant steps in the above-described boarding point determination method embodiment.
In particular, program 410 may include program code comprising computer operating instructions.
The processor 402 may be a central processing unit CPU, or an Application Specific Integrated Circuit ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present Application. The intelligent device comprises one or more processors which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
A memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 410 may be specifically configured to enable the processor 402 to execute operations corresponding to the boarding point determination method described in the first or second embodiment of the foregoing method.
For specific implementation of each step in the program 410, reference may be made to corresponding steps and corresponding descriptions in units in the above embodiments of the boarding point determining method, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
The embodiment of the present application further provides a computer program product, which includes computer instructions for instructing a computing device to execute an operation corresponding to any one of the above-mentioned boarding point determination methods in the multiple method embodiments.
It should be noted that, according to the implementation requirement, each component/step described in the embodiment of the present application may be divided into more components/steps, and two or more components/steps or partial operations of the components/steps may also be combined into a new component/step to achieve the purpose of the embodiment of the present application.
The above-described methods according to embodiments of the present application may be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the methods described herein may be stored in such software processes on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It is understood that the computer, processor, microprocessor controller or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the pick-up point determination methods described herein. Further, when a general purpose computer accesses code for implementing the pick-up point determination method illustrated herein, execution of the code converts the general purpose computer into a special purpose computer for performing the pick-up point determination method illustrated herein.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments of the present application.
The above embodiments are only used for illustrating the embodiments of the present application, and not for limiting the embodiments of the present application, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application, so that all equivalent technical solutions also belong to the scope of the embodiments of the present application, and the scope of the patent protection of the embodiments of the present application should be defined by the claims.
Claims (10)
1. A pick-up point determination method comprising:
generating basic vehicle points along corresponding roads according to road data in the road network data and a preset distance interval;
determining the popularity of the basic vehicle-entering points according to the vehicle-entering points of the orders of the historical travel orders of the road within a preset time period;
acquiring a base vehicle-entering point with the heat degree meeting a preset heat degree standard as a candidate base vehicle-entering point;
and comparing the candidate base vehicle-entering points with the pre-screened experience vehicle-entering points, and generating recommended vehicle-entering points on the road according to the comparison result.
2. The method of claim 1, wherein determining the heat of the base pick-up point according to the order pick-up point of the historical travel orders of the road within the preset time period comprises:
obtaining a plurality of order getting-on points of the historical travel orders of the road within a preset time period;
determining order boarding points which are far away from the basic boarding points and meet the set distance condition;
and determining the heat of the basic vehicle-entering point, wherein the heat is equal to the times of the vehicle-entering point of the order meeting the set distance condition from the basic vehicle-entering point to the historical travel order.
3. The method of claim 2, wherein the obtaining of the base pick-up point with the heat degree satisfying the preset heat degree standard as the candidate base pick-up point comprises:
judging whether the heat of the basic vehicle-entering point is greater than a preset heat threshold value or not, and judging whether the heat of the basic vehicle-entering point is greater than that of other basic vehicle-entering points or not, wherein the distances from the other basic vehicle-entering points to the basic vehicle-entering points are within a preset distance range;
and when the judgment results are yes, determining the basic vehicle-entering point as a candidate basic vehicle-entering point.
4. The method of claim 3, wherein,
the method further comprises the following steps: judging whether the heat difference value of the basic vehicle point and the adjacent basic vehicle point is larger than a preset difference threshold value or not;
and when the judgment results are yes, determining the basic vehicle-entering points as candidate basic vehicle-entering points, wherein the method comprises the following steps: and when the heat degree of the basic vehicle-entering point is greater than a preset heat degree threshold value, the heat degree of the basic vehicle-entering point is higher than that of other basic vehicle-entering points, and the heat degree difference value between the basic vehicle-entering point and the adjacent basic vehicle-entering point is greater than a preset difference value threshold value, determining the basic vehicle-entering point as a candidate basic vehicle-entering point.
5. The method of any of claims 1-4, wherein the generating a recommended pick-up point on the roadway based on the comparison comprises:
determining the candidate base vehicle-entering point coincident with the empirical vehicle-entering point as a vehicle-entering point with the highest credibility grade;
respectively determining residual candidate base vehicle-entering points which are not coincident with the empirical vehicle-entering points in the candidate base vehicle-entering points, and residual empirical vehicle-entering points which are not coincident with the empirical vehicle-entering points in the empirical vehicle-entering points; determining the remaining candidate based vehicle-entering points or the remaining experience vehicle-entering points as vehicle-entering points with high reliability grade according to a preset rule;
and determining the boarding point with the highest credibility grade and the boarding point with the highest credibility grade as the recommended boarding point on the road.
6. The method of claim 1, wherein the method further comprises:
determining the total heat of the road, wherein the total heat of the road is the sum of the heat of the vehicle points on the road;
judging whether recommended boarding points need to be added to the road according to the road width of the road and/or the total heat of the road;
and if so, adding recommended boarding points on the road according to the road width of the road and the total heat of the road.
7. The method of claim 6, wherein the adding a recommended pick-up point on the road according to the road width of the road and the total heat of the road comprises:
determining a first supplementary interval according to the road width of the road, a preset normalized width and the preset distance interval;
determining the road average heat of the road according to the total heat of the road and the road length of the road, and determining a second supplement interval according to the road average heat;
determining a target supplementary interval according to the first supplementary interval and the second supplementary interval;
and adding a boarding point serving as a recommended boarding point on the road according to the target supplement interval.
8. The method of claim 1, comprising: the method further comprises;
judging whether the vehicle-entering points are associated to a plurality of roads on the basis;
and if so, taking the basic vehicle point as the basic vehicle point of the road with the highest road grade in the plurality of roads.
9. A computer storage medium, on which a computer program is stored which, when being executed by a processor, carries out the pick-up point determination method according to any one of claims 1 to 8.
10. A computer program product comprising computer instructions that instruct a computing device to perform operations corresponding to the pick-up point determination method according to any one of claims 1-8.
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