CN111862587B - Travel guidance strategy generation method and device - Google Patents

Travel guidance strategy generation method and device Download PDF

Info

Publication number
CN111862587B
CN111862587B CN201911300216.9A CN201911300216A CN111862587B CN 111862587 B CN111862587 B CN 111862587B CN 201911300216 A CN201911300216 A CN 201911300216A CN 111862587 B CN111862587 B CN 111862587B
Authority
CN
China
Prior art keywords
information
guiding
historical
travel
guidance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911300216.9A
Other languages
Chinese (zh)
Other versions
CN111862587A (en
Inventor
杨的
孙伟力
孔鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Didi Infinity Technology and Development Co Ltd
Original Assignee
Beijing Didi Infinity Technology and Development Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Didi Infinity Technology and Development Co Ltd filed Critical Beijing Didi Infinity Technology and Development Co Ltd
Priority to CN201911300216.9A priority Critical patent/CN111862587B/en
Publication of CN111862587A publication Critical patent/CN111862587A/en
Application granted granted Critical
Publication of CN111862587B publication Critical patent/CN111862587B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0129Traffic data processing for creating historical data or processing based on historical data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route

Abstract

The application provides a travel guidance strategy generation method and a travel guidance strategy generation device, and the method comprises the steps of firstly, obtaining a plurality of historical travel guidance information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guidance information; secondly, determining the effective guiding rate of the historical travel guiding information based on the vehicle running track; determining a guiding strategy of the historical travel guiding information; then, training a guide strategy planning model based on the guide strategy and the corresponding effective guide rate; and finally, determining a guidance strategy corresponding to the target blocking event by using the guidance strategy planning model. Compared with the prior art, the method and the device have the advantages that the real and reliable historical travel guidance information can be used for planning the guidance strategy, so that the guidance strategy output by the guidance strategy planning model is more consistent with the real guidance situation, and the effective guidance rate of the travel guidance information is further improved.

Description

Travel guidance strategy generation method and device
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for generating a travel guidance policy.
Background
With the progress of science and technology, the economic level of people is gradually improved, more and more people select to drive to go out, the number of vehicles on roads is gradually increased, the number of vehicles capable of being carried by each road is limited, a blocking event of traffic jam is easily formed in the rush hour of traffic or in the situations of bad weather, traffic accidents and the like, and the traffic jam not only makes the vehicles at the position where the blocking event occurs difficult to pass but also influences the normal operation of the roads around the blocking event.
At present, in order to avoid that a vehicle enters a road section where a blocking event occurs, a method of issuing travel guidance information is generally adopted, the vehicle is guided to select other routes, common issuing channels include broadcasts, APPs, variable information traffic signs and the like, the travel guidance information generally includes some designated event information of the blocking event according to guidance strategies, the travel guidance information adopting different guidance strategies has different event information of the blocking event, and the guidance effect on a driver is also different. The existing travel guidance strategy is generally generated according to the statement preference survey of the driver and the result of the survey, the method lacks real data support, and the effective guidance rate of the obtained travel guidance strategy is low.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method and an apparatus for generating a travel guidance policy, which can utilize real and reliable historical travel guidance information to plan a guidance policy, so that the generation of the travel guidance policy is more reasonable, and further, the effective guidance ratio of the travel guidance information is improved.
According to one aspect of the present application, an electronic device is provided that may include one or more storage media, one or more processors in communication with the storage media, and a bus. One or more storage media store machine-readable instructions executable by a processor. When the electronic device is operated, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions and can perform one or more of the following operations:
acquiring a plurality of historical travel guide information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guide information;
determining effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types;
training a guidance strategy planning model based on the guidance strategy of each historical trip guidance information and the corresponding effective guidance rate;
and determining a guidance strategy corresponding to the target blocking event based on event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
In some embodiments of the present application, the travel guidance information is guidance information displayed in a variable information traffic sign; the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
based on the vehicle running track corresponding to each piece of historical travel guiding information, performing travel guiding simulation on the vehicles corresponding to the vehicle running track monitored in a preset time period before the historical travel guiding information is issued to obtain a first number of the vehicles of which the original travel routes are changed according to the historical travel guiding information in the travel guiding simulation;
and determining the effective guiding rate of the historical travel guiding information based on the first quantity obtained by the simulation and the second quantity of the vehicles passing through the variable information traffic sign corresponding to the historical travel guiding information and the road section of the historical blocking event corresponding to the historical travel guiding information in the latest preset time period before the historical travel guiding information is issued in the vehicle running track.
In some embodiments of the application, the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
In some embodiments of the application, the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
In some embodiments of the application, the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
In some embodiments of the present application, the event information category of the blocking event includes at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
In some embodiments of the application, the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
In some embodiments of the application, the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by utilizing a regression model and a maximum likelihood estimation method to obtain the statistical relationship between the guiding strategy of the historical trip guiding information corresponding to each blocking event and the corresponding effective guiding rate;
and constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rate corresponding to the guidance strategy.
In some embodiments of the application, the processor, when executing the machine-readable instructions, may perform one or more of the following operations:
and generating target trip guiding information corresponding to the target blocking event according to the event information type indicated in the guiding strategy corresponding to the target blocking event and the event information of the target blocking event in at least one preset event information type.
According to an aspect of the present application, there is provided a travel guidance policy generation method, including:
acquiring a plurality of historical travel guide information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guide information;
determining effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types;
training a guidance strategy planning model based on the guidance strategy of each historical trip guidance information and the corresponding effective guidance rate;
and determining a guidance strategy corresponding to the target blocking event based on event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
In some embodiments of the present application, the travel guidance information is guidance information displayed in a variable information traffic sign;
the determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information includes:
based on the vehicle running track corresponding to each piece of historical travel guiding information, performing travel guiding simulation on the vehicles corresponding to the vehicle running track monitored in a preset time period before the historical travel guiding information is issued to obtain a first number of the vehicles of which the original travel routes are changed according to the historical travel guiding information in the travel guiding simulation;
and determining the effective guiding rate of the historical travel guiding information based on the first quantity obtained by the simulation and the second quantity of the vehicles passing through the variable information traffic sign corresponding to the historical travel guiding information and the road section of the historical blocking event corresponding to the historical travel guiding information in the latest preset time period before the historical travel guiding information is issued in the vehicle running track.
In some embodiments of the application, the performing, based on the vehicle travel track corresponding to each piece of historical travel guidance information, travel guidance simulation on a vehicle corresponding to the vehicle travel track monitored in a preset time period before the historical travel guidance information is issued to obtain a first number of vehicles, in the travel guidance simulation, of which original travel routes are changed according to the historical travel guidance information, includes:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
In some embodiments of the present application, the performing, based on the second number, the third number, the fourth number, and the fifth number, a travel guidance simulation on a vehicle monitored in a preset time period before issuing the historical travel guidance information to obtain the first number includes:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
In some embodiments of the application, the determining, based on the first number obtained by the simulation and the second number of vehicles in the vehicle driving track, which pass through the variable information traffic sign corresponding to the historical travel guidance information and pass through the road segment where the historical blocking event corresponding to the historical travel guidance information occurs within a preset time period that is the latest before the historical travel guidance information is released, an effective guidance ratio of the historical travel guidance information includes:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
In some embodiments of the present application, the event information category of the blocking event includes at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
In some embodiments of the application, the determining a guidance policy of the historical travel guidance information based on event information of the historical blocking event corresponding to each historical travel guidance information under a plurality of preset event information categories includes:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
In some embodiments of the present application, the training of the guidance strategy planning model based on the guidance strategy of each historical travel guidance information and the corresponding effective guidance rate includes:
processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by utilizing a regression model and a maximum likelihood estimation method to obtain the statistical relationship between the guiding strategy of the historical trip guiding information corresponding to each blocking event and the corresponding effective guiding rate;
and constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rate corresponding to the guidance strategy.
In some embodiments of the present application, the method further comprises:
and generating target trip guiding information corresponding to the target blocking event according to the event information type indicated in the guiding strategy corresponding to the target blocking event and the event information of the target blocking event in at least one preset event information type.
According to another aspect of the present application, there is provided a travel guidance policy generation apparatus including:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a plurality of historical travel guide information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guide information;
the determining module is used for determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types;
the training module is used for training a guiding strategy planning model based on the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate;
and the guiding strategy generating module is used for determining a guiding strategy corresponding to the target blocking event based on the event information of the target blocking event in at least one preset event information type by using the guiding strategy planning model.
In some embodiments of the present application, the travel guidance information is guidance information displayed in a variable information traffic sign;
the determining module comprises:
a first determining unit, configured to perform travel guidance simulation on vehicles corresponding to vehicle travel tracks monitored in a preset time period before issuing historical travel guidance information based on the vehicle travel track corresponding to each piece of historical travel guidance information, so as to obtain a first number of vehicles, in the travel guidance simulation, of which original travel routes are changed according to the historical travel guidance information;
and a second determining unit, configured to determine an effective guiding rate of the historical travel guiding information based on the first number obtained through the simulation and a second number of vehicles that have passed through a variable information traffic sign corresponding to the historical travel guiding information and passed through a road segment where a historical blocking event corresponding to the historical travel guiding information occurred in a preset time period that is the latest before the historical travel guiding information is issued in the vehicle travel track.
In some embodiments of the present application, the first determining unit is specifically configured to:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
In some embodiments of the present application, the first determining unit, when performing travel guidance simulation on the monitored vehicle within a preset time period before issuing the historical travel guidance information based on the second number, the third number, the fourth number, and the fifth number to obtain the first number, is specifically configured to:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
In some embodiments of the present application, the second determining unit is specifically configured to:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
In some embodiments of the present application, the event information category of the blocking event includes at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
In some embodiments of the present application, the determining module further comprises a third determining unit, the third determining unit is configured to:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
In some embodiments of the present application, the training module is specifically configured to:
processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by utilizing a regression model and a maximum likelihood estimation method to obtain the statistical relationship between the guiding strategy of the historical trip guiding information corresponding to each blocking event and the corresponding effective guiding rate;
and constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rate corresponding to the guidance strategy.
In some embodiments of the present application, the apparatus further comprises:
and the guiding information generating module is used for generating target trip guiding information corresponding to the target blocking event according to the event information type indicated in the guiding strategy corresponding to the target blocking event and the event information of the target blocking event in at least one preset event information type.
According to yet another aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-mentioned travel guidance policy generation method.
According to the method and the device for generating the travel guidance strategy, firstly, a plurality of historical travel guidance information and a monitored vehicle running track in an influence road section corresponding to the historical travel guidance information are obtained; secondly, determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types; then, training a guiding strategy planning model based on the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate; and finally, determining a guidance strategy corresponding to the target blocking event based on the event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
Compared with the prior art, the method and the device have the advantages that the effective guiding rate of the historical travel guiding information can be determined by utilizing the historical travel guiding information and the vehicle running track in the affected road section corresponding to the historical travel guiding information, and the guiding strategy planning model is trained by utilizing the effective guiding rate and the guiding strategy of the historical travel guiding information, so that the guiding strategy output by the guiding strategy planning model is more consistent with the real guiding condition, and the effective guiding rate of the travel guiding information is further improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 shows a flowchart of a method for generating a travel guidance policy according to an embodiment of the present application;
fig. 2 is a flowchart illustrating another method for generating a travel guidance policy according to an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating a travel guidance policy generation apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another travel guidance strategy generation apparatus provided in an embodiment of the present application;
fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
In order to enable a person skilled in the art to use the present disclosure, the following embodiments are given in conjunction with a specific application scenario "determine a travel guidance strategy". It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application is described primarily in the context of travel order processing for a net appointment, it should be understood that this is merely one exemplary embodiment.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
At present, in order to avoid that a vehicle enters a road section where a blocking event occurs, a method of issuing travel guidance information is generally adopted, the vehicle is guided to select other routes, common issuing channels include broadcasts, APPs, variable information traffic signs and the like, the travel guidance information generally includes some designated event information of the blocking event according to guidance strategies, the travel guidance information adopting different guidance strategies has different event information of the blocking event, and the guidance effect on a driver is also different.
Before the application is proposed, the travel guidance strategy is generally generated according to stated preference survey of a driver and the result of the survey, the method lacks real data support, and the effective guidance rate of the obtained travel guidance strategy is low.
However, the travel guidance strategy generation method provided by the application can determine the effective guidance rate of the historical travel guidance information by using the historical travel guidance information and the vehicle running track in the affected road segment corresponding to the historical travel guidance information, and train the guidance strategy planning model by using the effective guidance rate and the guidance strategy of the historical travel guidance information, so that the guidance strategy output by the guidance strategy planning model is more consistent with the real guidance situation, and the effective guidance rate of the travel guidance information is further improved.
Referring to fig. 1, fig. 1 is a flowchart of a method for generating a travel guidance policy according to an embodiment of the present application, where the method for generating a travel guidance policy may be executed by a server. As shown in fig. 1, a method for generating a travel guidance policy provided in an embodiment of the present application includes:
s101, obtaining a plurality of historical travel guide information and monitored vehicle running tracks in the affected road sections corresponding to the historical travel guide information.
The travel guide information can be published through APP, broadcasting stations, variable information traffic signs and other channels, and historical travel guide information can be directly obtained from databases of various publishing channels. When a road blocking event occurs, the travel guidance information can be pushed to the running vehicles around the blocking event, so that after the driver looks at the travel guidance information, the travel guidance information is used as a reference for planning a travel route, and the original travel route is changed or maintained.
Specifically, the travel guidance information may include event information of a blocking event, for example, "a traffic accident occurs in the prefecture one bridge in the direction of kyo haha going out from kyo, G1" is a piece of travel guidance information.
Meanwhile, a guiding strategy of the historical trip guiding information can be determined based on event information of the historical blocking event corresponding to each historical trip guiding information under a plurality of preset event information types. Because the event information in the historical trip guiding information generally only includes event information in one or more event information types, rather than complete event information, after the historical trip guiding information is acquired, a blocking event corresponding to the historical trip guiding information can be determined according to the event information in the historical trip guiding information, and event information in a plurality of or all event information types of the blocking event can be determined.
When the vehicle driving track in the affected road section corresponding to the historical travel guidance information is determined, the position information in the historical travel guidance information can be converted into coordinates in an inverse geocoding mode, and then the monitored data meeting the conditions are extracted from a database according to the coordinates obtained through conversion.
S102, determining effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; and determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types.
In this step, after obtaining a plurality of historical travel guidance information and the monitored vehicle travel track in the affected road segment corresponding to the historical travel guidance information, the effective guidance ratio of the historical travel guidance information may be determined according to the vehicle travel track corresponding to each historical travel guidance information. The number of vehicles passing through a blocking road section with a blocking event before and after the release can be determined according to the monitored vehicle running track in the influence road section corresponding to the historical travel guide information within the preset time period before and after the release of the historical travel guide information, and the effective guide rate of the historical travel guide information can be determined.
The effective guidance rate represents the guidance effect of the historical travel guidance information, and the higher the effective guidance rate is, the better the guidance effect of the historical travel guidance information is.
Specifically, if the number of vehicles passing through the block road section after the historical travel guidance information is issued is significantly lower than the number of vehicles passing through the block road section before the historical travel guidance information is issued, the effective guidance rate is higher, and otherwise, the effective guidance rate is lower.
Meanwhile, a guiding strategy of the historical travel guiding information can be determined according to event information under a plurality of preset event information types contained in the historical travel guiding information, for example, if one piece of historical travel guiding information is that a traffic accident occurs in G1 Kyoha high-speed Takayao prefecture one bridge, the guiding strategy is that the route code + the route name + the blocking direction + the blocking position + the accident description.
S103, training a guiding strategy planning model based on the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate.
In this step, after determining the guidance strategy of each historical trip guidance information and the corresponding effective guidance rate, a pre-established guidance strategy planning model may be trained according to the guidance strategy and the effective guidance rate, the guidance strategy planning model may learn a relationship between the guidance strategy and the effective guidance rate, and the trained guidance strategy planning model may determine the effective guidance rate corresponding to each possible guidance strategy according to the input event information of the blocking event, or directly screen out the trip guidance strategy with the highest effective guidance rate from all possible guidance strategies.
S104, determining a guidance strategy corresponding to the target blocking event based on event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
Therefore, the effective guiding rate of the historical travel guiding information is determined by utilizing the historical travel guiding information and the vehicle running track in the affected road section corresponding to the historical travel guiding information, and the guiding strategy planning model is trained by utilizing the effective guiding rate and the guiding strategy of the historical travel guiding information, so that the guiding strategy output by the guiding strategy planning model is more consistent with the real guiding situation, and the effective guiding rate of the travel guiding information is further improved.
Referring to fig. 2, fig. 2 is a flowchart of a travel guidance policy generation method according to another embodiment of the present application. As shown in fig. 2, a method for generating a travel guidance policy provided in an embodiment of the present application includes:
s201, obtaining a plurality of historical travel guiding information and monitoring vehicle traveling tracks in an influence road section corresponding to the historical travel guiding information.
S202, determining effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; and determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types.
And S203, processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by using a regression model and a maximum likelihood estimation method to obtain the guiding strategy of the historical trip guiding information corresponding to each blocking event and the statistical relationship between the corresponding effective guiding rates.
In this step, a regression model may be established first to analyze the statistical relationship between the different types of event information and the effective index rates.
Specifically, when the historical travel guidance information is published on the variable information traffic sign, the following regression model may be used to represent the statistical relationship between the event information of different types and the effective guidance ratio:
Sc=fc(D+L+T+DL+DETA+DR+DLDETA+DLDR+DRDETA+DLDRDETA)+εc
wherein S iscIs the effective guiding rate when the type of the blocking event is C, D is the distance between the blocking event and the variable information traffic sign, L is the resistanceRoad grade of the section where the breaking event occurs, T being the duration of the breaking event, DLFor whether the historical travel guidance information contains blocking event location information, DETAWhether or not to protect predicted road section transit time information (ETA) for historical travel guidance information, DRWhether the historical travel guiding information contains suggested detour information, epsiloncIs an error term. f. ofcI.e. the statistical relationship between the different kinds of event information and the effective index.
It should be noted that the types of event information included in the above model are not all types of event information, but only one of various embodiments, and more or less types of event information may be included.
S204, constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rates corresponding to the guidance strategy.
In this step, a guidance strategy planning model may be constructed according to the obtained guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the obtained guidance strategy and the corresponding effective guidance rates, and the guidance strategy planning model may calculate effective guidance rates corresponding to all possible guidance strategies for different types of blocking events and the input one or more types of event information of the blocking events, and output a guidance strategy with the highest effective guidance rate.
Furthermore, the guide strategy planning model can be trained by using the guide strategy of the historical travel guide information corresponding to each blocking event and the statistical relationship between the effective guide rate corresponding to the guide strategy, so that the accuracy of the guide strategy planning model is improved.
Specifically, the guidance strategy planning model may be calculated according to the regression model, for example, if a guidance strategy includes only D, T, L and DLThen the corresponding value of D, T, L is brought into the model and D is again takenLThe corresponding value 1 is brought into the model, and the other items are brought into the value 0, so that the effective guiding rate of the guiding strategy can be calculated; if the boot policy is the same asWhen including D, T, L, DLAnd DRThen carry it to D, T, L and DLDRThe corresponding value 1 is taken in, and the remaining entries are taken in with the value 0.
S205, determining a guidance strategy corresponding to the target blocking event based on event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
The descriptions of S201, S202, and S205 may refer to the descriptions of S101, S102, and S104, and the same technical effect can be achieved, which is not described in detail herein.
In some embodiments of the present application, the travel guidance information is guidance information displayed in a variable information traffic sign;
the determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information includes:
based on the vehicle running track corresponding to each piece of historical travel guiding information, performing travel guiding simulation on the vehicles corresponding to the vehicle running track monitored in a preset time period before the historical travel guiding information is issued to obtain a first number of the vehicles of which the original travel routes are changed according to the historical travel guiding information in the travel guiding simulation;
and determining the effective guiding rate of the historical travel guiding information based on the first quantity obtained by the simulation and the second quantity of the vehicles passing through the variable information traffic sign corresponding to the historical travel guiding information and the road section of the historical blocking event corresponding to the historical travel guiding information in the latest preset time period before the historical travel guiding information is issued in the vehicle running track.
In this step, since it is not possible to determine that the vehicle originally passes through the block road, the number of vehicles on the travel route is changed according to the historical travel guidance information, and the travel guidance simulation may be performed on the vehicle corresponding to the vehicle travel track monitored in the preset time period before the historical travel guidance information is issued, using the vehicle travel track corresponding to each historical travel guidance information.
In this step, the vehicle passing through the variable information traffic sign may consider that the driver has acquired the historical travel guidance information, and if the travel route is changed, the guidance may be regarded as effective guidance for the driver, and if the travel route is not changed, the guidance may be regarded as ineffective guidance.
After the first quantity is obtained through simulation, it can be considered that the second quantity of the vehicles passing through the variable information traffic sign corresponding to the historical travel guidance information and the road segment where the historical blocking event corresponding to the historical travel guidance information occurs is the vehicles which are influenced by the received historical travel guidance information and need to pass through the blocking road segment, and thus, the ratio of the first quantity to the second quantity is the effective guidance ratio.
In some embodiments of the application, the performing, based on the vehicle travel track corresponding to each piece of historical travel guidance information, travel guidance simulation on a vehicle corresponding to the vehicle travel track monitored in a preset time period before the historical travel guidance information is issued to obtain a first number of vehicles, in the travel guidance simulation, of which original travel routes are changed according to the historical travel guidance information, includes:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
Specifically, the effective index ratio can be determined according to the following formula:
Figure BDA0002320709170000161
wherein S is the effective conductivity, C is the first quantity, CbIs a second number, CaIs a fifth quantity, VbIs a third number, VaIs the fourth number.
In some embodiments of the present application, the performing, based on the second number, the third number, the fourth number, and the fifth number, a travel guidance simulation on a vehicle monitored in a preset time period before issuing the historical travel guidance information to obtain the first number includes:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
Wherein the sixth number is the above formula
Figure BDA0002320709170000171
The product of (a).
In some embodiments of the application, the determining, based on the first number obtained by the simulation and the second number of vehicles in the vehicle driving track, which pass through the variable information traffic sign corresponding to the historical travel guidance information and pass through the road segment where the historical blocking event corresponding to the historical travel guidance information occurs within a preset time period that is the latest before the historical travel guidance information is released, an effective guidance ratio of the historical travel guidance information includes:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
In some embodiments of the present application, the event information category of the blocking event includes at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
In some embodiments of the application, the determining a guidance policy of the historical travel guidance information based on event information of the historical blocking event corresponding to each historical travel guidance information under a plurality of preset event information categories includes:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
In some embodiments of the present application, the method further comprises:
and generating target trip guiding information corresponding to the target blocking event according to the event information type indicated in the guiding strategy corresponding to the target blocking event and the event information of the target blocking event in at least one preset event information type.
According to the travel guidance strategy generation method provided by the embodiment of the application, firstly, a plurality of historical travel guidance information and a monitored vehicle running track in an influence road section corresponding to the historical travel guidance information are obtained; secondly, determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types; then, training a guiding strategy planning model based on the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate; and finally, determining a guidance strategy corresponding to the target blocking event based on the event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
Compared with the prior art, the method and the device have the advantages that the effective guiding rate of the historical travel guiding information can be determined by utilizing the historical travel guiding information and the vehicle running track in the affected road section corresponding to the historical travel guiding information, and the guiding strategy planning model is trained by utilizing the effective guiding rate and the guiding strategy of the historical travel guiding information, so that the guiding strategy output by the guiding strategy planning model is more consistent with the real guiding condition, and the effective guiding rate of the travel guiding information is further improved.
Based on the same inventive concept, a travel guidance strategy generation device corresponding to the travel guidance strategy generation method is further provided in the embodiment of the present application, and as the principle of solving the problem of the travel guidance strategy generation device in the embodiment of the present application is similar to that of the travel guidance strategy generation method in the embodiment of the present application, the implementation of the device may refer to the implementation of the method, and repeated details are not repeated.
Referring to fig. 3 and 4, fig. 3 is a schematic structural diagram of a travel guidance strategy generation device according to an embodiment of the present application, and fig. 4 is a schematic structural diagram of another travel guidance strategy generation device according to an embodiment of the present application. As shown in fig. 3, the travel guidance policy generating apparatus 300 includes:
an obtaining module 310, configured to obtain a plurality of historical travel guidance information and a monitored vehicle driving track in an affected road segment corresponding to the historical travel guidance information;
a determining module 320, configured to determine, based on the vehicle travel track corresponding to each piece of historical travel guidance information, an effective guidance rate of the historical travel guidance information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types;
a training module 330, configured to train a guidance strategy planning model based on the guidance strategy of each piece of historical travel guidance information and the corresponding effective guidance ratio;
the guidance policy generating module 340 is configured to determine, by using the guidance policy planning model, a guidance policy corresponding to a target blocking event based on event information of the target blocking event in at least one preset event information category.
As shown in fig. 4, the travel guidance policy generating apparatus 400 includes: the system comprises an acquisition module 410, a determination module 420, a training module 430 and a guidance strategy generation module 440, wherein the travel guidance information is guidance information displayed in a variable information traffic sign;
the determining module 420 includes:
a first determining unit 421, configured to perform travel guidance simulation on vehicles corresponding to vehicle travel tracks monitored in a preset time period before the historical travel guidance information is issued based on the vehicle travel tracks corresponding to each piece of historical travel guidance information, so as to obtain a first number of vehicles, in the travel guidance simulation, of which original travel routes are changed according to the historical travel guidance information;
a second determining unit 422, configured to determine an effective guiding rate of the historical travel guiding information based on the first number obtained through the simulation and a second number of vehicles that have passed through a variable information traffic sign corresponding to the historical travel guiding information and passed through a road segment where a historical blocking event corresponding to the historical travel guiding information occurred in a preset time period that is the latest before the historical travel guiding information is issued in the vehicle travel track.
In some embodiments of the present application, the first determining unit 421 is specifically configured to:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
In some embodiments of the present application, the first determining unit 421, when performing travel guidance simulation on the monitored vehicles in the preset time period before issuing the historical travel guidance information based on the second number, the third number, the fourth number and the fifth number to obtain the first number, is specifically configured to:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
In some embodiments of the present application, the second determining unit 422 is specifically configured to:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
In some embodiments of the present application, the event information category of the blocking event includes at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
In some embodiments of the present application, the determining module 420 further comprises a third determining unit 423, the third determining unit 423 being configured to:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
In some embodiments of the present application, the training module 430 is specifically configured to:
processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by utilizing a regression model and a maximum likelihood estimation method to obtain the statistical relationship between the guiding strategy of the historical trip guiding information corresponding to each blocking event and the corresponding effective guiding rate;
and constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rate corresponding to the guidance strategy.
In some embodiments of the present application, the travel guidance policy generating apparatus 400 further includes:
the guidance information generating module 450 is configured to generate target trip guidance information corresponding to the target blocking event according to the event information type indicated in the guidance policy corresponding to the target blocking event and event information of the target blocking event in at least one preset event information type.
The travel guidance strategy generation device provided by the embodiment of the application firstly acquires a plurality of historical travel guidance information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guidance information; secondly, determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types; then, training a guiding strategy planning model based on the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate; and finally, determining a guidance strategy corresponding to the target blocking event based on the event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
Compared with the prior art, the method and the device have the advantages that the effective guiding rate of the historical travel guiding information can be determined by utilizing the historical travel guiding information and the vehicle running track in the affected road section corresponding to the historical travel guiding information, and the guiding strategy planning model is trained by utilizing the effective guiding rate and the guiding strategy of the historical travel guiding information, so that the guiding strategy output by the guiding strategy planning model is more consistent with the real guiding condition, and the effective guiding rate of the travel guiding information is further improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, the processor 510 and the memory 520 communicating via the bus 530 when the electronic device 500 is operating, the machine-readable instructions when executed by the processor 510 performing one or more of the following:
acquiring a plurality of historical travel guide information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guide information;
determining effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types;
training a guidance strategy planning model based on the guidance strategy of each historical trip guidance information and the corresponding effective guidance rate;
and determining a guidance strategy corresponding to the target blocking event based on event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
In some embodiments of the present application, the travel guidance information is guidance information displayed in a variable information traffic sign; processor 510, when executing the machine-readable instructions, may perform one or more of the following operations:
based on the vehicle running track corresponding to each piece of historical travel guiding information, performing travel guiding simulation on the vehicles corresponding to the vehicle running track monitored in a preset time period before the historical travel guiding information is issued to obtain a first number of the vehicles of which the original travel routes are changed according to the historical travel guiding information in the travel guiding simulation;
and determining the effective guiding rate of the historical travel guiding information based on the first quantity obtained by the simulation and the second quantity of the vehicles passing through the variable information traffic sign corresponding to the historical travel guiding information and the road section of the historical blocking event corresponding to the historical travel guiding information in the latest preset time period before the historical travel guiding information is issued in the vehicle running track.
In some embodiments of the present application, processor 510, when executing the machine-readable instructions, may perform one or more of the following:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
In some embodiments of the present application, processor 510, when executing the machine-readable instructions, may perform one or more of the following:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
In some embodiments of the present application, processor 510, when executing the machine-readable instructions, may perform one or more of the following:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
In some embodiments of the present application, the event information category of the blocking event includes at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
In some embodiments of the present application, processor 510, when executing the machine-readable instructions, may perform one or more of the following:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
In some embodiments of the present application, processor 510, when executing the machine-readable instructions, may perform one or more of the following:
processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by utilizing a regression model and a maximum likelihood estimation method to obtain the statistical relationship between the guiding strategy of the historical trip guiding information corresponding to each blocking event and the corresponding effective guiding rate;
and constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rate corresponding to the guidance strategy.
In some embodiments of the present application, processor 510, when executing the machine-readable instructions, may perform one or more of the following:
and generating target trip guiding information corresponding to the target blocking event according to the event information type indicated in the guiding strategy corresponding to the target blocking event and the event information of the target blocking event in at least one preset event information type.
Accordingly, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the steps of the above-mentioned travel guidance policy generation method are performed.
Specifically, the storage medium can be a general-purpose storage medium, such as a mobile disk, a hard disk, and the like, and when a computer program on the storage medium is executed, the method for generating the travel guidance policy can be executed, so that the problem of low effective guidance rate of the travel guidance policy is solved, the generation of the travel guidance policy is more reasonable, and the effective guidance rate of the travel guidance information is further improved.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (12)

1. A travel guidance strategy generation method is characterized by comprising the following steps:
acquiring a plurality of historical travel guide information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guide information;
determining effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types; the effective trip guiding rate is the ratio of the vehicle of the original trip route changed under the influence of the historical trip guiding information in the influenced road section corresponding to the historical trip guiding information to the vehicle in the influenced road section corresponding to the historical trip guiding information;
training a guidance strategy planning model based on the guidance strategy of each historical trip guidance information and the corresponding effective guidance rate;
and determining a guidance strategy corresponding to the target blocking event based on event information of the target blocking event in at least one preset event information type by using the guidance strategy planning model.
2. The method according to claim 1, wherein the travel guidance information is guidance information displayed in a variable information traffic sign;
the determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information includes:
based on the vehicle running track corresponding to each piece of historical travel guiding information, performing travel guiding simulation on the vehicles corresponding to the vehicle running track monitored in a preset time period before the historical travel guiding information is issued to obtain a first number of the vehicles of which the original travel routes are changed according to the historical travel guiding information in the travel guiding simulation;
and determining the effective guiding rate of the historical travel guiding information based on the first quantity obtained by the simulation and the second quantity of the vehicles passing through the variable information traffic sign corresponding to the historical travel guiding information and the road section of the historical blocking event corresponding to the historical travel guiding information in the latest preset time period before the historical travel guiding information is issued in the vehicle running track.
3. The method according to claim 2, wherein the step of performing travel guidance simulation on vehicles corresponding to vehicle travel tracks monitored in a preset time period before issuing the historical travel guidance information based on the vehicle travel tracks corresponding to each piece of historical travel guidance information to obtain a first number of vehicles, of which original travel routes are changed according to the historical travel guidance information, in the travel guidance simulation includes:
determining, based on the travel track, a third number of vehicles passing through the variable information traffic sign, a second number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, and a fourth number of vehicles passing through both the road segment where the historical blocking event occurs and the variable information traffic sign, in a preset time period immediately after the historical travel guidance information is issued, among the vehicles corresponding to the monitored travel track of the vehicle, in a preset time period immediately before the historical travel guidance information is issued;
and performing travel guidance simulation on the vehicles monitored in a preset time period before the historical travel guidance information is issued based on the second quantity, the third quantity, the fourth quantity and the fifth quantity to obtain the first quantity.
4. The method according to claim 3, wherein the simulating of travel guidance for the monitored vehicle within a preset time period before issuing the historical travel guidance information based on the second number, the third number, the fourth number, and the fifth number to obtain the first number comprises:
determining a sixth number of vehicles of which the original travel routes are not changed according to the historical travel guiding information in the travel guiding simulation based on the third number, the fourth number and the fifth number;
and determining the first number according to the second number and the sixth number.
5. The method according to claim 2, wherein the determining the effective guidance rate of the historical travel guidance information based on the first number obtained by the simulation and the second number of vehicles passing through the variable information traffic sign corresponding to the historical travel guidance information and passing through the road segment where the historical blocking event corresponding to the historical travel guidance information occurs in the vehicle travel track within a latest preset time period before the historical travel guidance information is released comprises:
and determining the ratio of the first quantity to the second quantity, and using the ratio as the effective guiding rate of the historical travel guiding information.
6. The method of claim 2, wherein the event information category of the blocking event comprises at least one of:
a distance between an occurrence location of the blocking event and the variable information traffic sign, a duration of the blocking event, location information of the blocking event, an expected duration of the blocking event, a recommended travel route avoiding the blocking event.
7. The method according to claim 1, wherein the determining of the guiding strategy of the historical travel guiding information based on the event information of the historical blocking event corresponding to each historical travel guiding information under the preset multiple event information categories comprises:
determining each event information type corresponding to the event information corresponding to each historical trip guiding information;
and determining a guiding strategy of the historical travel guiding information according to each event information type corresponding to the event information.
8. The method according to claim 1, wherein training a guidance strategy planning model based on the guidance strategy of each historical travel guidance information and its corresponding effective guidance rate comprises:
processing the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate by utilizing a regression model and a maximum likelihood estimation method to obtain the statistical relationship between the guiding strategy of the historical trip guiding information corresponding to each blocking event and the corresponding effective guiding rate;
and constructing and training the guidance strategy planning model by using the guidance strategy of the historical travel guidance information corresponding to each blocking event and the statistical relationship between the effective guidance rate corresponding to the guidance strategy.
9. The method of claim 1, further comprising:
and generating target trip guiding information corresponding to the target blocking event according to the event information type indicated in the guiding strategy corresponding to the target blocking event and the event information of the target blocking event in at least one preset event information type.
10. A travel guidance policy generation apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a plurality of historical travel guide information and monitored vehicle running tracks in an influence road section corresponding to the historical travel guide information;
the determining module is used for determining the effective guiding rate of the historical travel guiding information based on the vehicle running track corresponding to each piece of historical travel guiding information; determining a guiding strategy of the historical trip guiding information based on the event information of the historical blocking event corresponding to each historical trip guiding information under the preset multiple event information types; the effective trip guiding rate is the ratio of the vehicle of the original trip route changed under the influence of the historical trip guiding information in the influenced road section corresponding to the historical trip guiding information to the vehicle in the influenced road section corresponding to the historical trip guiding information;
the training module is used for training a guiding strategy planning model based on the guiding strategy of each historical trip guiding information and the corresponding effective guiding rate;
and the guiding strategy generating module is used for determining a guiding strategy corresponding to the target blocking event based on the event information of the target blocking event in at least one preset event information type by using the guiding strategy planning model.
11. An electronic device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate with each other through the bus, and the processor executes the machine-readable instructions to execute the steps of the travel guidance strategy generation method according to any one of claims 1 to 9.
12. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, performs the steps of the travel guidance policy generation method according to any one of claims 1 to 9.
CN201911300216.9A 2019-12-16 2019-12-16 Travel guidance strategy generation method and device Active CN111862587B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911300216.9A CN111862587B (en) 2019-12-16 2019-12-16 Travel guidance strategy generation method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911300216.9A CN111862587B (en) 2019-12-16 2019-12-16 Travel guidance strategy generation method and device

Publications (2)

Publication Number Publication Date
CN111862587A CN111862587A (en) 2020-10-30
CN111862587B true CN111862587B (en) 2021-11-19

Family

ID=72970890

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911300216.9A Active CN111862587B (en) 2019-12-16 2019-12-16 Travel guidance strategy generation method and device

Country Status (1)

Country Link
CN (1) CN111862587B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112991740B (en) * 2021-03-23 2022-03-11 苏州蓝图智慧城市科技有限公司 Vehicle guiding method, medium and equipment based on travel dispersion and clustering
CN117858827A (en) * 2022-03-04 2024-04-09 深圳市大疆创新科技有限公司 Control method and device for vehicle, program product and storage medium

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101281684A (en) * 2008-01-30 2008-10-08 吉林大学 Area traffic control system for synergism operation of inducement and zone control of display panel
CN103699775B (en) * 2013-11-25 2016-08-24 北京交通大学 Urban road traffic guidance strategy automatic generation method and system
CN105809953B (en) * 2014-12-27 2018-07-10 吉林大学 A kind of urban traffic flow bus or train route cooperative control method based on M2M
CN106643747B (en) * 2015-11-04 2020-09-08 中国移动通信集团公司 Navigation method and device
KR101913134B1 (en) * 2017-05-18 2018-11-01 주식회사 포맥스네트워크 Apparatus for generating lane by lane traffic velocity information in intelligent trasportation system
CN108682147A (en) * 2018-05-03 2018-10-19 广东省高速公路营运管理协会 A kind of highway traffic congestion dredges decision-making technique
US10916137B2 (en) * 2018-08-22 2021-02-09 Ford Global Technologies, Llc Traffic mitigation system
CN109887288B (en) * 2019-03-27 2021-06-15 江苏智通交通科技有限公司 Urban road network guidance scheme publishing method and system based on travel structure

Also Published As

Publication number Publication date
CN111862587A (en) 2020-10-30

Similar Documents

Publication Publication Date Title
US20190347739A1 (en) Risk Based Automotive Insurance Rating System
US10883850B2 (en) Additional security information for navigation systems
US10755566B2 (en) Method and apparatus for determining location-based vehicle behavior
JP5024134B2 (en) Travel information creation device, travel information creation method and program
US7353111B2 (en) Navigation system performing route guidance for vehicle
WO2017193556A1 (en) Speed prediction method and apparatus
EP2630443B1 (en) Method of determining and validating navigational priority settings utilizing probe data
US20140074402A1 (en) Systems and methods for determining risks associated with driving routes
US20160195406A1 (en) Systems And Methods For Providing Route Information Using A Mobile Device
WO2010011806A1 (en) System and method for evaluating and improving driving performance based on statistical feedback
CN111326015A (en) Parking spot recommendation method and device
CN111862587B (en) Travel guidance strategy generation method and device
Khoo et al. Modeling of passengers’ safety perception for buses on mountainous roads
CN112700201A (en) Goods source recommendation method, electronic device and storage medium
CN113984075A (en) Navigation method, navigation device, navigation equipment and computer readable storage medium
Brown et al. A spatial modeling approach to estimating bike share traffic volume from GPS data
CN109791677A (en) System and method for carrying out Geographic Reference and scoring to vehicle data in community
LU100760B1 (en) Vehicular motion assessment method
Ale et al. Safety impacts of right-turn lanes at unsignalized intersections and driveways on two-lane roadways: Crash analysis
JP5434765B2 (en) Start / end traffic volume calculation device, traffic simulator, and start / end traffic volume calculation method
JP2017151545A (en) Traffic accident forecast system, and accident forecast method
CN110648008A (en) Road condition prediction method and device
JP2023005015A (en) Traffic condition forecasting device and traffic condition forecasting method
CN113514073A (en) Internet of vehicles intelligent navigation obstacle crossing method and device and electronic equipment
JP2022087906A (en) Traffic state prediction device and traffic state prediction method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant