CN112729329A - Safe driving route recommendation method, device and equipment - Google Patents
Safe driving route recommendation method, device and equipment Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3446—Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3461—Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
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Abstract
The invention discloses a safe driving route recommending method, a safe driving route recommending device and safe driving route recommending equipment, and aims to solve the problem that the conventional navigation route recommending strategy is lack of planning a to-be-selected driving route based on a safety standard, and provides a road accident database which is combined with the constructed road accident database, the driving behavior of a driver and the traffic environment during the navigation, so that the safety level of a plurality of candidate routes given according to the conventional strategy is predicted, namely, at least one navigation route based on the driving safety angle is recommended to a user from the candidate routes, and therefore, the defects of the conventional navigation strategy can be filled, and the driving traffic safety is guaranteed.
Description
Technical Field
The invention relates to the field of navigation, in particular to a safe driving route recommending method, device and equipment.
Background
With the increase of the automobile holding amount, the driving safety is a concern for each driver and even the whole society. Currently, a video and audio system or an intelligent assistant is carried, and the trip navigation application is used in an in-vehicle interaction scene more frequently.
At present, a traditional navigation mode is to recommend a driving route according to strategies of avoiding congestion, optimizing time, minimizing charge, being closest in mileage, minimizing traffic lights and the like based on an origin and a destination requested by a user, and in some improved navigation schemes, the route recommendation can be performed by combining factors such as personalized information, driving comfort level, use frequency and the like of the user.
However, as mentioned above, driving safety is a factor that cannot be ignored, and the existing navigation strategy is mainly designed around the conventional goals of time saving, economy, low energy consumption, etc., and does not provide a targeted route planning from the dimension of driving safety, that is, the existing navigation method cannot recommend a driving route to be selected based on the superiority and inferiority of safety.
Disclosure of Invention
In view of the foregoing, the present invention aims to provide a safe driving route recommendation method, device and apparatus, and accordingly a computer readable storage medium and a computer program product, so as to make up for the lack of decision of the existing navigation technology for driving safety.
The technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides a safe driving route recommendation method, including:
acquiring a plurality of candidate routes according to a navigation request of a user;
performing safety prediction on each candidate route by using the constructed road accident database, the driving behavior information of the user and the current traffic environment information;
and determining at least one safe driving route from the candidate routes and recommending the safe driving route to the user based on the prediction result.
In at least one possible implementation manner, the performing, by using the constructed road accident database, the driving behavior information of the user, and the current traffic environment information, the safety prediction on each candidate route includes:
matching each path section in the candidate route in the road accident database to obtain a plurality of occurred accident data corresponding to each path section;
obtaining driving accident information of the candidate route based on the occurred accident data;
and performing correlation analysis on the user driving behavior information and the current traffic environment information and the driving accident information to obtain a safety prediction score of the candidate route.
In at least one possible implementation manner, the obtaining of the driving accident information of the candidate route based on the occurred accident data includes:
fusing various preset accident information in the occurred accident data to obtain accident characteristics corresponding to the occurred accident data;
and comprehensively analyzing all the accident characteristics of the road sections of the routes based on the driving route sequence or the accident occurrence time sequence to obtain the driving accident information of the candidate route.
In at least one possible implementation manner, the associating and analyzing the driving behavior information of the user and the current traffic environment information with the driving accident information includes:
fusing the user driving behavior information and the current traffic environment information to obtain driving environment comprehensive information;
and performing attention calculation on the driving accident information by using the driving environment comprehensive information.
In at least one possible implementation thereof:
the road accident database comprises continuously updated past accident information of each road section, or the past accident information and the dynamic accident information of each road section;
the user driving behavior information includes continuously updated driving habit information or dynamic driving operation information.
In at least one possible implementation manner, the obtaining manner of the dynamic driving operation information includes:
constructing a driving habit combination by utilizing various driving habits of a user;
and combining the driving habit combination with the driving behavior of the user in the current driving process to obtain the dynamic driving operation information.
In at least one possible implementation manner, the method further includes:
and in the running process of the vehicle, carrying out real-time safety evaluation on a running route according to the current position, the current destination and the real-time traffic environment information of the vehicle, as well as the dynamic accident information and the dynamic driving operation information acquired in the running process, and updating the safe running route according to an evaluation result.
In a second aspect, the present invention provides a safe driving route recommendation device, including:
the candidate route planning module is used for acquiring a plurality of candidate routes according to the navigation request of the user;
the safety prediction module is used for performing safety prediction on each candidate route by utilizing the constructed road accident database, the user driving behavior information and the current traffic environment information;
and the safe route recommending module is used for determining at least one safe driving route from the candidate routes and recommending the safe driving route to the user based on the prediction result.
In at least one possible implementation, the security prediction module includes:
the accident data matching unit is used for matching each path road section in the candidate route in the road accident database to obtain a plurality of occurred accident data corresponding to each path road section;
an accident information acquisition unit for acquiring the traveling accident information of the candidate route based on the occurred accident data;
and the safety prediction unit is used for performing correlation analysis on the user driving behavior information and the current traffic environment information and the driving accident information to obtain a safety prediction score of the candidate route.
In at least one possible implementation manner, the accident information acquiring unit includes:
the accident characteristic fusion component is used for fusing various preset accident information in the occurred accident data to obtain accident characteristics corresponding to the occurred accident data;
and the accident comprehensive analysis component is used for comprehensively analyzing all the accident characteristics of the road sections of the routes based on the driving route sequence or the accident occurrence time sequence to obtain the driving accident information of the candidate route.
In at least one possible implementation manner, the security prediction unit includes:
the driving environment fusion component is used for fusing the user driving behavior information and the current traffic environment information to obtain driving environment comprehensive information;
and the information association calculation component is used for performing attention calculation on the driving accident information by utilizing the driving environment comprehensive information.
In at least one possible implementation manner, the road accident database includes continuously updated past accident information of each road segment, or the past accident information and dynamic accident information of each road segment;
the user driving behavior information includes continuously updated driving habit information or dynamic driving operation information.
In at least one possible implementation manner, the safety prediction module further includes a dynamic driving operation information obtaining unit, where the dynamic driving operation information obtaining unit specifically includes:
the driving habit combination component is used for constructing a driving habit combination by utilizing various driving habits of a user;
and the driving operation association component is used for combining the driving habit combination with the driving behavior of the user in the current driving process to obtain the dynamic driving operation information.
In at least one possible implementation manner, the apparatus further includes:
and the safe route changing module is used for carrying out real-time safety evaluation on the running route according to the current position, the current destination and the real-time traffic environment information of the vehicle as well as the dynamic accident information and the dynamic driving operation information acquired during running in the running process of the vehicle, and updating the safe running route according to an evaluation result.
In a third aspect, the present invention provides a safe driving route recommendation apparatus, including:
one or more processors, memory which may employ a non-volatile storage medium, and one or more computer programs stored in the memory, the one or more computer programs comprising instructions which, when executed by the apparatus, cause the apparatus to perform the method as in the first aspect or any possible implementation of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when run on a computer, causes the computer to perform at least the method as described in the first aspect or any of its possible implementations.
In a fifth aspect, the present invention also provides a computer program product for performing at least the method of the first aspect or any of its possible implementations, when the computer program product is executed by a computer.
In at least one possible implementation manner of the fifth aspect, the relevant program related to the product may be stored in whole or in part on a memory packaged with the processor, or may be stored in part or in whole on a storage medium not packaged with the processor.
The invention aims at solving the problem that the existing navigation route recommendation strategy is lack of planning a to-be-selected driving route based on a safety standard, and provides a road accident database which is combined with the construction, the driving behavior of a driver and the traffic environment when the navigation is used at this time, and the safety level of a plurality of candidate routes given according to the conventional strategy is predicted, namely, at least one navigation route based on the driving safety angle is recommended to a user from the candidate routes, so that the defects of the existing navigation strategy can be filled, and the driving traffic safety is guaranteed.
Furthermore, the navigation route based on the driving safety dimension can still be updated and recommended according to the acquired real-time information in the driving process according to the safety driving route recommendation strategy provided by the invention.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a flowchart of an embodiment of a safe driving route recommendation method provided by the present invention;
FIG. 2 is a flow chart of an embodiment of a candidate route safety analysis method provided by the present invention;
FIG. 3 is a schematic diagram of an embodiment of a route safety factor model provided by the present invention;
FIG. 4 is a schematic diagram of an embodiment of a safe driving route recommendation device provided by the present invention;
fig. 5 is a schematic diagram of an embodiment of a safe driving route recommendation device provided by the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The invention provides an embodiment of a safe driving route recommendation method, which is shown in fig. 1 and specifically comprises the following steps:
and step S1, acquiring a plurality of candidate routes according to the navigation request of the user.
The embodiment does not abandon the conventional navigation strategy, for example, a plurality of planned routes can be given based on the traditional recommendation modes of time saving, economy, low energy consumption and the like, and only in this link, the plurality of planned routes serve as candidate routes of the safety navigation strategy provided by the invention, that is, the embodiment is characterized in that the recommended routes are given by only paying attention to safety angles, but the advantages of time saving, economy, low energy consumption and the like are not sacrificed in the safety driving routes given by subsequent processing, and only in actual operation, a relatively larger number of planned routes can be given compared with the traditional navigation mode so as to fuse the safety factors into the route screening and recommendation process.
And step S2, performing safety prediction on each candidate route by using the constructed road accident database, the user driving behavior information and the current traffic environment information.
After obtaining the candidate routes, the embodiment proposes to jointly estimate the safety angle of each candidate route by combining the traffic accident data in the road, the driving operation behavior of the driver and the traffic environment information of the route planning using the navigation application. Three points are indicated here:
for one, the timing of using navigation by the user may not be limited, generally speaking, the user may select a start place and a destination using a navigation application before departing, and select a recommended route to start a navigation operation, but does not exclude a case where the user uses the navigation application during driving, and therefore the current traffic environment information here is the traffic environment information related to the candidate route obtained from the start of using the navigation application by the user, and includes but is not limited to one or more of the following: the information may be obtained from technical implementation level through a traffic monitoring system or traffic management platform by means of a network (e.g. car networking technology).
Secondly, the traffic accident data included in the road accident database is not limited to the current accident occurring along the route when the navigation application is used, but a large amount of data sets of traffic accident information are counted, which will be described in detail later.
And thirdly, how to combine the traffic accident database, the driving behaviors and the traffic environment at the moment can be selected in various ways. For example, in some embodiments of the present invention, the driving behavior of the driver at the moment (for example, but not limited to, whether the driver wears a seat belt or not, or the number of people, the age distribution of passengers, or whether the driver listens to audio and video, or the accelerator pedal depth, the distance keeping condition, etc.) may be matched with the driving behavior of the relevant people at the time of the accident recorded in the road accident database, and the current traffic environment information may be compared with the traffic environment information at the time of the accident recorded in the road accident database, or in other embodiments of the present invention, the directly relevant road segments and the accident information corresponding to these particular road segments may be matched from the road accident database based on the aforementioned candidate routes, and then the driving behavior and the traffic environment information of the user may be associated and analyzed with the accident information of these particular road segments in a separate or integrated manner, therefore, the current driving safety factor of each candidate route, namely the safety estimation result, is given, and on the basis of the conception, some more preferable and specific improvement modes are provided later, and are not described herein for the time.
It should be noted that, as can be seen from the foregoing description, the driving behavior information of the user and the current traffic environment information belong to the upper-level expressions covering more specific information, and of course, the driving behavior information of the user may include not only various information related to the driving task of the user at the time, but also historical driving information and driving habits of the user, and as described above, the road accident database may also be designed differently as needed, and reference descriptions will be provided for some possible implementations as follows.
(1) The road accident database may include continuously updated past accident information of each road segment, or include dynamic accident information in addition to the past accident information of each road segment, wherein the road segments are also a name, and the road accident database may refer to traffic elements such as various types of roads and intersections, and the constructed road accident database may use administrative areas, cities and towns, provinces and the like as construction units, and continuously count and store historical traffic accident data of all road segments in one or more construction units, or may additionally add traffic accident events occurring when a user uses a navigation application according to actual requirements, so as to dynamically update the road accident database.
Specifically, when the road accident database is constructed, the road accident data of each road section can be acquired through a server or a traffic monitoring system of a traffic management platform, and then the road accident data can be classified and recorded into the following form:
| accident site | Intersection of friend learning road and Wangjiang west road |
| Type of accident | Rear-end collision accident |
| Time | 12 months and 12 months in 2020, XX day 18:10 |
| Environmental information | Weather: light rain; temperature: 15 ℃; humidity 80% |
| Information of personnel and vehicles | For a male of 30 years old, the distance between cars is 1.5 m, and the speed of the cars is 65km/h |
| ...... | ...... |
The tables herein are merely illustrative, and the types of accidents involved therein may also include, but are not limited to, straight-ahead accidents, passing accidents, meeting accidents, parking accidents, left-turning accidents, right-turning accidents, narrow-lane accidents, curve accidents, ramp accidents, etc.; incident related information includes, but is not limited to: accident section, accident occurrence time, accident handling time, same time accident, same section accident, casualty situation in accident, penalty compensation, and current traffic environment information such as: temperature, humidity, weather conditions, road conditions, surrounding facilities, accident vehicle information, and driver information thereof (which may include, for example and without limitation, vehicle model, displacement, age, speed, failure or failure, driver age, gender, occupation, historical violation information, in-vehicle passenger status, duration of continuous driving, etc.). The selection of the specific information during the construction of the road accident database may be determined according to needs, but the present invention does not limit this, and it should be noted that, in addition to the table form, the present invention may also record in a topological form, for example, a directed graph that may associate accident-related information is used, or a tree graph, an accident graph, etc. is formed by traversing the counted table data.
(2) The user driving behavior information may include continuously updated driving habit information or dynamic driving operation information. The continuously updated driving habit information may be obtained by forming a table or a graph according to the foregoing, and may include the driving age, sex, and occupation of the driver obtained through vehicle registration information, and historical violation conditions queried through networking, where the driving habit of the driver may be specifically obtained through in-vehicle sensing devices and/or out-vehicle monitoring devices, such as whether to be accustomed to wearing a seat belt, whether to frequently accelerate an overtaking, changing lane, and suddenly stopping, whether to be accustomed to using light reasonably, and the like, and it is understood by those skilled in the art that whether to be accustomed or not may be measured by presetting some data thresholds, and the criterion is determined according to needs, such as that 20 times of the driver wearing the seat belt during 100 times of vehicle usage are counted, the preset threshold of 5 times is exceeded, so that the determination of "whether to wear the safety belt" is negative, which is only an exemplary illustration and is not a limitation of the present invention.
Continuing the foregoing, when the dynamic driving operation information is adopted to refer to the user driving behavior information, two ideas can be considered, on one hand, various information related to the current driving scene when the user uses the navigation application can be directly used as the user driving behavior information; on the other hand, various driving habits of the user may be utilized to construct a driving habit combination, that is, the driving habit of the past user which is continuously updated is represented, and the driving behavior of the real-time user in the current driving process is combined with the driving habit combination, so that the driving behavior information of the user is represented by utilizing the past statistics of the driver and the current behavior of the driver, and for this, some possible implementation manners are given in specific examples, which are not described herein for a while, it can be also explained here that, for the driving behavior information of the user, if the past information of the driver is involved, the form of the database which is constructed as the continuous update can be referred to for reading and calling.
Returning to fig. 1, step S3 determines at least one safe driving route from the candidate routes based on the prediction result and recommends the safe driving route to the user.
After the result of each candidate route based on the safety prediction is obtained, one or more routes can be selected from the candidate routes and recommended to the user, the recommendation and presentation mode can refer to the prior art, and the strategy for selecting the safe driving route from the candidate routes can select TOPN candidate routes as the safe driving route after sorting according to modes such as prediction scores and probability values.
In addition, on the basis of the foregoing embodiment, the present invention also considers in other embodiments, because the timing of using the navigation application by the user is not limited, so that, according to the concept of the foregoing embodiment, during the vehicle driving process, according to the current location of the vehicle (which is equivalent to the starting location selected by the user and can be realized by a mature positioning technology), the destination, the real-time traffic environment information (which is equivalent to the foregoing current traffic environment information), and the dynamic accident information (i.e. the traffic accident data occurring or having occurred at the foregoing current navigation application stage) and the dynamic driving operation information (i.e. the foregoing current navigation application stage obtains various types of information related to the driving behavior of the driver in real time), for the driving route (the driving route herein may refer to the user traveling according to the recommended foregoing safe driving route, the navigation strategy route may also refer to other navigation strategy routes, which depend on whether the user travels along the safety travel route provided by the present invention, and in actual operation, it cannot be excluded that the user does not travel along the safety travel route in the real travel process), perform real-time safety evaluation (the evaluation manner may refer to the above-mentioned safety prediction idea), and update the safety travel route according to the evaluation result, that is, the safety travel route provided in the foregoing embodiment may be adjusted according to the real travel situation and according to the dynamic determination result, and of course, those skilled in the art may understand that the safety travel route corresponding to the previous safety prediction result may also be maintained without updating, and the present invention is not limited thereto.
With respect to some of the aforementioned implementation possibilities of performing the route safety analysis by combining the traffic accident database, the driving behavior and the traffic environment at the time, the preferred embodiment may specifically include the following steps in conjunction with the schematic example given in fig. 2:
and step S21, matching each path section in the candidate route in the road accident database to obtain a plurality of occurred accident data corresponding to each path section.
As described above, in some embodiments, the road accident database may include past accidents or past accidents + current dynamic accident events based on all road segments (road, intersection, etc. as surrogates) in the construction unit, so in this embodiment, the road segments (i.e. route segments) involved in each of the candidate routes may be used to match with the road segment information included in the road accident database, so as to match the accident data information corresponding to each route segment, i.e. the occurred accident data (the current accident data obtained in real time in a dynamic manner, and also the occurred accident data) here.
And step S22, acquiring the driving accident information of the candidate route based on the occurred accident data.
After the accident data corresponding to each route section in one candidate route is taken, the driving accident information related to the safe driving of the vehicle on the current candidate route can be known, and the characteristics of the current candidate route can be understood from the perspective of traffic accidents. The method for specifically obtaining the driving accident information of the candidate route may be implemented in various manners, including but not limited to the following:
for example, in some embodiments, the traffic accident information frequency, severity and the like of each path road segment in the current candidate route can be graded or ranked according to the safe driving influence degree, and then the appearance or abstract information is extracted from the accident data corresponding to one or more path road segments to serve as the driving accident information of the whole candidate route;
for example, in some other embodiments, accident characteristics may be extracted from the accident data corresponding to each route section based on one or more specific preset accident information (e.g., the weather environment information, the traffic environment information, the type of the accident vehicle, the operation behavior of the driver causing the accident, etc.), and independent driving safety analysis is performed on each route section by combining the accident characteristics with a pre-established algorithm strategy, and then all safety analysis results are summarized to obtain the driving accident information of the whole candidate route;
for example, in another preferred embodiment, the preset various accident information in the occurred accident data corresponding to each route section may be fused to obtain accident characteristics corresponding to each of the occurred accident data, that is, to characterize the comprehensive characteristics of the traffic accidents of each route section, and then, based on the route sequence of the driving process or the occurrence time sequence of the accident data, the comprehensive analysis is performed on all the accident characteristics of each route section, so as to obtain the driving accident information of the whole candidate route. This preferred example will be described later in some specific implementations.
And step S23, performing correlation analysis on the user driving behavior information and the current traffic environment information and the driving accident information to obtain the safety prediction score of the candidate route.
After the driving accident information of the whole candidate route is obtained, the driving behavior information of the user and the current traffic environment information can be associated with the driving behavior information of the user and the current traffic environment information, and the safety of the candidate route is estimated. Similarly, in practical operation, there may be many options for associating the information, for example, but not limited to, interacting the driving behavior information of the user and the current traffic environment information with the driving accident information to form two sets of comprehensive accident information combined with different angles, and then weighting and fusing the two sets of information. In another preferred embodiment of the present invention, the correlation analysis concept may be obtained by fusing the driving behavior information of the user and the current traffic environment information to obtain fused driving environment comprehensive information, and then performing attention calculation on the driving accident information of the whole candidate route by using the driving environment comprehensive information, which will be described in detail with specific examples later.
In summary, the idea of the present invention is to provide a road accident database constructed in combination with the driving behavior of the driver and the traffic environment when the current navigation is used, to predict the safety level of a plurality of candidate routes given according to the conventional strategy, that is, to recommend at least one navigation route based on the driving safety angle from the candidate routes to the user, aiming at the problem that the current navigation route recommendation strategy lacks a safety standard-based planning of the driving route to be selected, so that the shortcomings of the current navigation strategy can be filled, and the driving traffic safety can be guaranteed.
The foregoing is presented with some aspects of the invention involving a multi-model algorithm, with the first example being that of associating each route segment in each candidate routeThe released accident data is extracted from a road accident database, low-dimensional space mapping can be performed by combining the existing methods such as a graph model and a time sequence model to obtain vectorized representation of accident information of the candidate route, the driving behavior and traffic environment information of a driver are vectorized in a similar mode, and then the vectorized information is used as input and sent to a pre-constructed route safety factor model for processing, so that safety estimation results of each candidate route are obtained. The following can be understood by referring to the route safety factor model shown in fig. 3, wherein the accidents base is a road accident database, and the accident data corresponding to the route section can be extracted from the road accident database when calculating the driving safety of the planned route, and preferably, if the road accident database is constructed by using the aforementioned directed graph, map and other forms, it can be understood that ai＝{a1,……,aiRepresents all relevant accident information maps a in the current road plan (candidate route)iSimilarly, the user halobits is the driving behavior information of the user and can be represented by H, and the environment feature is the current traffic environment information and can be represented by Env. Then, the embedding coding operation can be performed on the three information, i.e. the graph embedding layer, the hash embedding layer, and the feature embedding layer shown in fig. 3 are passed through respectively.
Specifically, the graph embedding layer is a preferred graph information coding layer, and is used for coding all accident information graphs corresponding to the current candidate route to obtain an abstract vector representation ae corresponding to each occurred accident1,……,aeiThe specific coding mode can be selected from mature graph coding networks such as GNN, GCN, etc., such as but not limited to aei＝GNN(ai) Wherein, aeiAnd representing the vector representation obtained by encoding each accident data through a graph model, namely representing the fusion characteristics of preset accident data such as accident type, accident time, accident environment and the like.
The haiit embedding layer is used for coding the driving behavior of the user, and specifically, the past driving behavior of the user can be coded by combining some of the aforementioned waysEstablishing a group of trainable embedding for operation habits and the like, for example, a seat belt worn is serial number 1, a seat belt not worn is serial number 2, light reasonably used is serial number 3, light unreasonably used is serial number 4, and sudden braking and sudden turning is serial number 5iI.e. by
hei＝embedding(HE,hi)
The feature embedding layer is a coding layer of the current traffic environment information, and similarly, a group of trainable embedding can be established for each environment information, and the specific establishment mode may refer to the existing feature mapping means, which is not described herein again. It can be further explained that in the actual operation, information filtering can be performed through a self-attention mechanism, information which is useless for judging the safety factor of the current route is filtered, so that important information is more obviously embodied in the result, and then the relevant weight can be trained through a model to obtain the feature code of the current traffic environment information, wherein the feature code is represented by envfeature.
envfeature＝selfattention({embedding(ENVE,env1),……,embedding(HE,envn)},U,V)
Wherein ENVE is a trainable characteristic matrix of the current traffic environment information, envnAs mentioned above, may be a vector representation of traffic environment information including, but not limited to, temperature, humidity, weather, road conditions, traffic, pedestrian traffic, surrounding facilities, road conditions, etc., as desired; u and V are parameters to be trained in self-attention.
FIG. 3 shows that after the accident data is obtained and vector representation is obtained through graph model coding, the accident vectors ae along the current route can pass through the accident elements encoding layeriCoding is carried out, and the ae can be preferably coded by utilizing the time sequence informationiAnd sending the data into an LSTM network in sequence for coding to obtain a vector representation ao of the driving accident information of the current overall route.
And, the feature vector he of the driving behavior of the user can be usediThe feature vector envfeature of the current traffic environment passes through the hashes&The environment embedding layer is used for joint coding, and the fusion characteristics of the environment embedding layer and the full connection layer are obtained, namely the driving environment comprehensive information hfi. Then, the driving environment comprehensive information hf is utilizediThe Attention calculation is performed on the driving accident information ao, in the example of fig. 3, an AH-attribution (additive Habit attribution) layer with a self-defined name is used to perform Attention interaction on the driving behavior of the user and the accident information in the traffic environment and the current route, that is, the station is located at the view point of the driving behavior of the user and the current traffic environment, and the accident information in the current route is comprehensively analyzed to obtain an abstract representation ar corresponding to the comprehensive analysis result, where the foregoing process may specifically involve the following steps:
ar＝∑iwiaoi
wi＝exp(f(ao,hfi))/∑jexp(f(ao,hfj))
f(ao,hfi)＝Vasigmoid(Waoao+Uhfhfi)
hfi＝tanh(Wx{hei,envfeature})
wherein Va、Wao、Uhf、WxAre trainable model parameters.
And finally, obtaining the driving safety score of the current user on the current candidate route under the current traffic environment after the transformation of the full connection layer.
It should be understood that the foregoing is only an example, and the related network architecture selection, model training, and the like can refer to the existing related technical means, which is not the focus of the present invention and is not described in detail.
Corresponding to the above embodiments and preferred solutions, the present invention further provides an embodiment of a safe driving route recommending apparatus, as shown in fig. 4, which may specifically include the following components:
the candidate route planning module 1 is used for acquiring a plurality of candidate routes according to a navigation request of a user;
the safety prediction module 2 is used for performing safety prediction on each candidate route by utilizing the constructed road accident database, the user driving behavior information and the current traffic environment information;
and the safe route recommending module 3 is used for determining at least one safe driving route from the candidate routes and recommending the safe driving route to the user based on the prediction result.
In at least one possible implementation, the security prediction module includes:
the accident data matching unit is used for matching each path road section in the candidate route in the road accident database to obtain a plurality of occurred accident data corresponding to each path road section;
an accident information acquisition unit for acquiring the traveling accident information of the candidate route based on the occurred accident data;
and the safety prediction unit is used for performing correlation analysis on the user driving behavior information and the current traffic environment information and the driving accident information to obtain a safety prediction score of the candidate route.
In at least one possible implementation manner, the accident information acquiring unit includes:
the accident characteristic fusion component is used for fusing various preset accident information in the occurred accident data to obtain accident characteristics corresponding to the occurred accident data;
and the accident comprehensive analysis component is used for comprehensively analyzing all the accident characteristics of the road sections of the routes based on the driving route sequence or the accident occurrence time sequence to obtain the driving accident information of the candidate route.
In at least one possible implementation manner, the security prediction unit includes:
the driving environment fusion component is used for fusing the user driving behavior information and the current traffic environment information to obtain driving environment comprehensive information;
and the information association calculation component is used for performing attention calculation on the driving accident information by utilizing the driving environment comprehensive information.
In at least one possible implementation manner, the road accident database includes continuously updated past accident information of each road segment, or the past accident information and dynamic accident information of each road segment;
the user driving behavior information includes continuously updated driving habit information or dynamic driving operation information.
In at least one possible implementation manner, the safety prediction module further includes a dynamic driving operation information obtaining unit, where the dynamic driving operation information obtaining unit specifically includes:
the driving habit combination component is used for constructing a driving habit combination by utilizing various driving habits of a user;
and the driving operation association component is used for combining the driving habit combination with the driving behavior of the user in the current driving process to obtain the dynamic driving operation information.
In at least one possible implementation manner, the apparatus further includes:
and the safe route changing module is used for carrying out real-time safety evaluation on the running route according to the current position, the current destination and the real-time traffic environment information of the vehicle as well as the dynamic accident information and the dynamic driving operation information acquired during running in the running process of the vehicle, and updating the safe running route according to an evaluation result.
It should be understood that the division of the components in the safe driving route recommending device shown in fig. 4 is merely a logical division, and the actual implementation can be wholly or partially integrated into one physical entity or physically separated. And these components may all be implemented in software invoked by a processing element; or may be implemented entirely in hardware; and part of the components can be realized in the form of calling by the processing element in software, and part of the components can be realized in the form of hardware. For example, a certain module may be a separate processing element, or may be integrated into a certain chip of the electronic device. Other components are implemented similarly. In addition, all or part of the components can be integrated together or can be independently realized. In implementation, each step of the above method or each component above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above components may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, these components may be integrated together and implemented in the form of a System-On-a-Chip (SOC).
In view of the foregoing examples and preferred embodiments thereof, it will be appreciated by those skilled in the art that, in practice, the technical idea underlying the present invention may be applied in a variety of embodiments, the present invention being schematically illustrated by the following vectors:
(1) a safe travel route recommendation apparatus. The device may specifically include: one or more processors, memory, and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions, which when executed by the apparatus, cause the apparatus to perform the steps/functions of the foregoing embodiments or an equivalent implementation.
Fig. 5 is a schematic structural diagram of an embodiment of a safe driving route recommendation device provided in the present invention, where the device may be a cloud server, a computer of a related platform, an intelligent terminal, a vehicle-mounted device, and the like.
As shown in particular in FIG. 5, the safe-driving route recommendation apparatus 900 includes a processor 910 and a memory 930. Wherein, the processor 910 and the memory 930 can communicate with each other and transmit control and/or data signals through the internal connection path, the memory 930 is used for storing computer programs, and the processor 910 is used for calling and running the computer programs from the memory 930. The processor 910 and the memory 930 may be combined into a single processing device, or more generally, separate components, and the processor 910 is configured to execute the program code stored in the memory 930 to implement the functions described above. In particular implementations, the memory 930 may be integrated with the processor 910 or may be separate from the processor 910.
In addition to this, in order to make the functions of the safe driving route recommending apparatus 900 more complete, the apparatus 900 may further include one or more of an input unit 960, a display unit 970, an audio circuit 980, a camera 990, a sensor 901, and the like, which may further include a speaker 982, a microphone 984, and the like. The display unit 970 may include a display screen, among others.
Further, the apparatus 900 may also include a power supply 950 for providing power to various devices or circuits within the apparatus 900.
It should be understood that the operation and/or function of the various components of the apparatus 900 can be referred to in the foregoing description with respect to the method, system, etc., and the detailed description is omitted here as appropriate to avoid repetition.
It should be understood that the processor 910 in the safe driving route recommending apparatus 900 shown in fig. 5 may be a system on chip SOC, and the processor 910 may include a Central Processing Unit (CPU), and may further include other types of processors, such as: an image Processing Unit (GPU), etc., which will be described in detail later.
In summary, various portions of the processors or processing units within the processor 910 may cooperate to implement the foregoing method flows, and corresponding software programs for the various portions of the processors or processing units may be stored in the memory 930.
(2) A readable storage medium, on which a computer program or the above-mentioned apparatus is stored, which, when executed, causes the computer to perform the steps/functions of the above-mentioned embodiments or equivalent implementations.
In the several embodiments provided by the present invention, any function, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on this understanding, some aspects of the present invention may be embodied in the form of software products, which are described below, or portions thereof, which substantially contribute to the art.
(3) A computer program product (which may include the above apparatus) which, when run on a terminal device, causes the terminal device to execute the safe driving route recommendation method of the foregoing embodiment or an equivalent embodiment.
From the above description of the embodiments, it is clear to those skilled in the art that all or part of the steps in the above implementation method can be implemented by software plus a necessary general hardware platform. With this understanding, the above-described computer program products may include, but are not limited to, refer to APP; in the foregoing, the device/terminal may be a computer device, and the hardware structure of the computer device may further specifically include: at least one processor, at least one communication interface, at least one memory, and at least one communication bus; the processor, the communication interface and the memory can all complete mutual communication through the communication bus. The processor may be a central Processing unit CPU, a DSP, a microcontroller, or a digital Signal processor, and may further include a GPU, an embedded Neural Network Processor (NPU), and an Image Signal Processing (ISP), and may further include a specific integrated circuit ASIC, or one or more integrated circuits configured to implement the embodiments of the present invention, and the processor may have a function of operating one or more software programs, and the software programs may be stored in a storage medium such as a memory; and the aforementioned memory/storage media may comprise: non-volatile memories (non-volatile memories) such as non-removable magnetic disks, U-disks, removable hard disks, optical disks, etc., and Read-Only memories (ROM), Random Access Memories (RAM), etc.
In the embodiments of the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, and means that there may be three relationships, for example, a and/or B, and may mean that a exists alone, a and B exist simultaneously, and B exists alone. Wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
Those of skill in the art will appreciate that the various modules, elements, and method steps described in the embodiments disclosed in this specification can be implemented as electronic hardware, 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 present invention.
In addition, the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other. In particular, for embodiments of devices, apparatuses, etc., since they are substantially similar to the method embodiments, reference may be made to some of the descriptions of the method embodiments for their relevant points. The above-described embodiments of devices, apparatuses, etc. are merely illustrative, and modules, units, etc. described as separate components may or may not be physically separate, and may be located in one place or distributed in multiple places, for example, on nodes of a system network. Some or all of the modules and units can be selected according to actual needs to achieve the purpose of the above-mentioned embodiment. Can be understood and carried out by those skilled in the art without inventive effort.
The structure, features and effects of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the above embodiments are merely preferred embodiments of the present invention, and it should be understood that technical features related to the above embodiments and preferred modes thereof can be reasonably combined and configured into various equivalent schemes by those skilled in the art without departing from and changing the design idea and technical effects of the present invention; therefore, the invention is not limited to the embodiments shown in the drawings, and all the modifications and equivalent embodiments that can be made according to the idea of the invention are within the scope of the invention as long as they are not beyond the spirit of the description and the drawings.
Claims (10)
1. A safe driving route recommendation method, comprising:
acquiring a plurality of candidate routes according to a navigation request of a user;
performing safety prediction on each candidate route by using the constructed road accident database, the driving behavior information of the user and the current traffic environment information;
and determining at least one safe driving route from the candidate routes and recommending the safe driving route to the user based on the prediction result.
2. The safe driving route recommendation method according to claim 1, wherein the performing of the safety prediction on each candidate route by using the constructed road accident database, the user driving behavior information and the current traffic environment information comprises:
matching each path section in the candidate route in the road accident database to obtain a plurality of occurred accident data corresponding to each path section;
obtaining driving accident information of the candidate route based on the occurred accident data;
and performing correlation analysis on the user driving behavior information and the current traffic environment information and the driving accident information to obtain a safety prediction score of the candidate route.
3. The safe driving route recommendation method according to claim 2, wherein the obtaining of the driving accident information of the candidate route based on the occurred accident data comprises:
fusing various preset accident information in the occurred accident data to obtain accident characteristics corresponding to the occurred accident data;
and comprehensively analyzing all the accident characteristics of the road sections of the routes based on the driving route sequence or the accident occurrence time sequence to obtain the driving accident information of the candidate route.
4. The safe driving route recommendation method according to any one of claims 1 to 3, characterized in that:
the road accident database comprises continuously updated past accident information of each road section, or the past accident information and the dynamic accident information of each road section;
the user driving behavior information includes continuously updated driving habit information or dynamic driving operation information.
5. The safe driving route recommendation method according to claim 4, wherein the manner of obtaining the dynamic driving operation information includes:
constructing a driving habit combination by utilizing various driving habits of a user;
and combining the driving habit combination with the driving behavior of the user in the current driving process to obtain the dynamic driving operation information.
6. The safe driving route recommendation method according to claim 4, further comprising:
and in the running process of the vehicle, carrying out real-time safety evaluation on a running route according to the current position, the current destination and the real-time traffic environment information of the vehicle, as well as the dynamic accident information and the dynamic driving operation information acquired in the running process, and updating the safe running route according to an evaluation result.
7. A safe-travel-route recommending apparatus, characterized by comprising:
the candidate route planning module is used for acquiring a plurality of candidate routes according to the navigation request of the user;
the safety prediction module is used for performing safety prediction on each candidate route by utilizing the constructed road accident database, the user driving behavior information and the current traffic environment information;
and the safe route recommending module is used for determining at least one safe driving route from the candidate routes and recommending the safe driving route to the user based on the prediction result.
8. The safe-driving route recommendation device according to claim 7, wherein the safety prediction module comprises:
the accident data matching unit is used for matching each path road section in the candidate route in the road accident database to obtain a plurality of occurred accident data corresponding to each path road section;
an accident information acquisition unit for acquiring the traveling accident information of the candidate route based on the occurred accident data;
and the safety prediction unit is used for performing correlation analysis on the user driving behavior information and the current traffic environment information and the driving accident information to obtain a safety prediction score of the candidate route.
9. The safe travel route recommendation device according to claim 7 or 8, further comprising:
and the safe route changing module is used for carrying out real-time safety evaluation on the running route according to the current position, the current destination and the real-time traffic environment information of the vehicle as well as the dynamic accident information and the dynamic driving operation information acquired in the running process of the vehicle, and updating the safe running route according to the evaluation result.
10. A safe-travel-route recommending apparatus characterized by comprising:
one or more processors, memory, and one or more computer programs stored in the memory, the one or more computer programs comprising instructions which, when executed by the apparatus, cause the apparatus to perform the safe driving route recommendation method of any of claims 1-6.
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