CN114512001B

CN114512001B - Regional traffic monitoring method, device, electronic equipment, medium and program product

Info

Publication number: CN114512001B
Application number: CN202210043405.8A
Authority: CN
Inventors: 胡才益; 余海峰; 陶紫洁; 符栋栋; 包瑗珲; 张有胜; 刘腾; 刘浩
Original assignee: Alibaba Innovation Co
Current assignee: Alibaba Innovation Co
Priority date: 2022-01-14
Filing date: 2022-01-14
Publication date: 2024-04-26
Anticipated expiration: 2042-01-14
Also published as: CN114512001A

Abstract

The embodiment of the disclosure discloses a regional traffic monitoring method, a device, an electronic device, a medium and a program product, wherein the method comprises the following steps: acquiring traffic geographic information of a target area from a geographic space database; inquiring and acquiring current road condition data, mobile positioning data and traffic event data of a target area from a corresponding database based on traffic geographic information; carrying out data analysis on current road condition data, mobile positioning data and traffic event data of a target area to obtain current road traffic state information, passenger flow state information and event state information of the target area; and outputting the current road traffic state information, passenger flow state information and event state information of the target area. According to the technical scheme, the urban traffic management department can timely find whether sudden events affecting people's travel, such as traffic accidents, passenger flow congestion, traffic jams and the like, occur in the target area, so that the problems can be timely solved, and the working efficiency is improved.

Description

Regional traffic monitoring method, device, electronic equipment, medium and program product

Technical Field

The embodiment of the disclosure relates to the technical field of traffic data processing, in particular to a regional traffic monitoring method, a regional traffic monitoring device, electronic equipment, a medium and a program product.

Background

In the city management process, a traffic organization and operation guarantee scheme is designed aiming at a key area which can attract a large amount of passenger flows in holidays, major activities or daily management, so that basic traffic travel of city residents is guaranteed, and city management departments, especially traffic management departments, are required to monitor traffic conditions of the key areas. However, the current traffic condition monitoring method for the key areas is to analyze the road condition based on the section road condition information collected by the collecting device arranged at the fixed position before one or a plurality of days to obtain and display the historical road condition state, and to analyze the passenger flow based on the passenger flow sampling investigation to obtain and display the historical passenger flow state. According to the existing monitoring scheme, the traffic management department can only check the historical road condition state and the historical passenger flow state of the key areas, and if sudden events such as traffic accidents and congestion events occur in the key areas capable of attracting a large amount of passenger flows, the traffic management department can not timely discover and process the sudden events through the monitored historical road condition state and the monitored historical passenger flow state, so that conditions such as long-time traffic congestion and passenger flow congestion can be caused, travel experience of people is affected, and therefore, how to enable the traffic management department to timely discover problems and solve the problems and improve travel experience of people becomes the problem to be solved urgently at present.

Disclosure of Invention

The embodiment of the disclosure provides a regional traffic monitoring method, a regional traffic monitoring device, electronic equipment, a regional traffic monitoring medium and a regional traffic monitoring program product.

In a first aspect, an embodiment of the present disclosure provides a method for monitoring regional traffic.

Specifically, the regional traffic monitoring method comprises the following steps:

Acquiring traffic geographic information of a target area from a geographic space database;

Inquiring and acquiring current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database based on the traffic geographic information;

carrying out data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to obtain the current road traffic state information, the passenger flow state information and the event state information of the target area;

and outputting the current road traffic state information, passenger flow state information and event state information of the target area.

With reference to the first aspect, in a first implementation manner of the first aspect, the method further includes:

Inquiring and acquiring current planning navigation data of the target area from a navigation database based on the traffic geographic information;

Carrying out data analysis on current road condition data, planning navigation data and mobile positioning data of the target area, and predicting future road traffic state information and passenger flow state information of the target area;

And outputting the future road traffic state information and passenger flow state information of the target area.

With reference to the first aspect and the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the embodiment of the disclosure is that the traffic geographic information includes boundary information of the target area, POI and road segment information in the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a third implementation manner of the first aspect, the performing data analysis on the current road condition data, the mobile positioning data, and the traffic event data of the target area to obtain current road traffic state information, passenger flow state information, and event state information of the target area includes:

carrying out data analysis on the current road condition data of the target area to obtain the current road traffic state information of the target area;

carrying out data analysis on the current mobile positioning data of the target area to obtain the current passenger flow state information of the target area;

and carrying out data analysis on the current mobile positioning data and traffic event data of the target area to acquire the current event state information of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the disclosure includes that the current road condition data includes real-time traffic parameters of each road section, and the performing data analysis on the current road condition data of the target area to obtain current road traffic state information of the target area includes:

calculating the real-time congestion index of each road section in the target area, wherein the real-time congestion index is a real-time traffic parameter/a traffic parameter under the free flow condition;

Carrying out weighted average on the real-time congestion indexes of all road sections in the target area to obtain the real-time congestion index of the target area;

Determining the current traffic congestion state of the target area according to the real-time congestion index of the target area according to the corresponding relation between the preset real-time congestion index and the traffic congestion state;

the current road traffic state information of the target area comprises at least one of a real-time congestion index and a current traffic congestion state of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the disclosure obtains a real-time congestion index of the target area by performing weighted average on the real-time congestion indexes of each road segment in the target area, where the method includes:

inquiring traffic flow of each road section in the target area from a corresponding database based on the traffic geographic information;

determining the weight corresponding to each road section in the target area according to the traffic flow of each road section in the target area;

and carrying out weighted average calculation on the real-time congestion index of each road section in the target area based on the weight corresponding to each road section in the target area to obtain the real-time congestion index of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the disclosure performs data analysis on current mobile positioning data of the target area to obtain current passenger flow state information of the target area, and includes:

Counting current mobile positioning data of the target area to obtain real-time passenger flow volume of the target area;

Calculating a real-time traffic congestion index of the target area, wherein the real-time traffic congestion index is the real-time traffic volume of the target area/the traffic volume of the target area;

Determining the current traffic congestion state of the target area according to the real-time traffic congestion index of the target area according to the corresponding relation between the preset real-time traffic congestion index and the traffic congestion state;

The current passenger flow state information of the target area comprises at least one of a real-time passenger flow congestion index and a current passenger flow congestion state of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a seventh implementation manner of the first aspect, the performing data analysis on the current mobile positioning data and traffic event data of the target area to obtain current event state information of the target area includes:

Based on the current traffic event data of the target area, counting the real-time traffic event quantity in the target area from the monitoring starting moment to the current moment;

Based on the current mobile positioning data and traffic event data of the target area, counting the mobile positioning quantity within a preset range from the position of the traffic event in the target area, and obtaining an event influence people index of the target area, wherein the event influence people index is the sum of accumulated influence people of all traffic events in the target area from the monitoring starting moment to the current moment.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in an eighth implementation manner of the first aspect, the disclosure further includes:

And carrying out data analysis on the current road condition data of the target area to obtain abnormal congestion information in the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a ninth implementation manner of the first aspect, the performing data analysis on current road condition data, planning navigation data, and mobile positioning data of the target area, predicting future road traffic state information and passenger flow state information of the target area includes:

carrying out data analysis on the current planning navigation data and road condition data of the target area, and predicting a traffic flow predicted value of the target area at a future moment;

calculating the traffic flow increment of the target area at the future moment;

based on the real-time congestion indexes of each time of the history, obtaining a history congestion index trend;

predicting the traffic congestion state of the target area at the future moment according to the historical congestion index trend and the traffic flow increment;

counting the current mobile positioning data of the target area, and determining the current passenger flow value of the target area;

Predicting a passenger flow predicted value of the target area at a future moment based on current planning navigation data and mobile positioning data of the target area;

Calculating the passenger flow increment of the target area at the future moment;

And predicting the traffic congestion state of the target area at the future moment according to the real-time traffic congestion index of the target area and the traffic increment.

In a second aspect, an embodiment of the disclosure provides a regional traffic monitoring device.

Specifically, the regional traffic monitoring device includes:

The static area data acquisition module is configured to acquire traffic geographic information of the target area from a geographic space database;

The dynamic region data acquisition module is configured to query and acquire current road condition data, mobile positioning data and traffic event data of the target region from a corresponding database based on the traffic geographic information;

the road traffic state monitoring module is configured to perform data analysis on the current road condition data of the target area and acquire the current road traffic state information of the target area;

The passenger flow state monitoring module is configured to perform data analysis on the current mobile positioning data of the target area and acquire the current passenger flow state information of the target area;

the event state monitoring module is configured to perform data analysis on the current mobile positioning data and traffic event data of the target area and acquire the current event state information of the target area;

The first output module is configured to output current road traffic state information, passenger flow state information and event state information of the target area.

With reference to the second aspect, in a first implementation manner of the first aspect, the present disclosure includes, in which,

The dynamic region data acquisition module is further configured to query and acquire current planning navigation data of the target region from a navigation database based on the traffic geographic information;

The road traffic state prediction module is configured to perform data analysis on current road condition data and planning navigation data of the target area and predict future road traffic state information of the target area;

The passenger flow state prediction module is configured to perform data analysis on the current mobile positioning data and planning navigation data of the target area and predict future passenger flow state information of the target area;

the first output module is further configured to output future road traffic state information and passenger flow state information of the target area.

In a third aspect, an embodiment of the disclosure provides an area traffic monitoring device.

Specifically, the regional traffic monitoring device includes:

The first acquisition module is configured to acquire traffic geographic information of the target area from a geographic space database;

The second acquisition module is configured to query and acquire current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database based on the traffic geographic information;

The third acquisition module is configured to perform data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to acquire the current road traffic state information, the passenger flow state information and the event state information of the target area;

And the second output module is configured to output the current road traffic state information, passenger flow state information and event state information of the target area.

With reference to the third aspect, in a first implementation manner of the third aspect, the apparatus further includes:

The fourth acquisition module is configured to query and acquire current planning navigation data of the target area from a navigation database based on the traffic geographic information;

The first prediction module is configured to perform data analysis on current road condition data, planning navigation data and mobile positioning data of the target area and predict future road traffic state information and passenger flow state information of the target area;

And the third output module is configured to output future road traffic state information and passenger flow state information of the target area.

With reference to the third aspect and the first implementation manner of the third aspect, in a second implementation manner of the third aspect, the traffic geographic information includes boundary information of the target area, a point of interest POI and road segment information in the target area.

With reference to the third aspect and the foregoing implementation manners of the third aspect, in a third implementation manner of the third aspect, the disclosure is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in a fourth implementation manner of the third aspect, the disclosure is further configured to, in the third obtaining module, obtain a portion of current road traffic state information of the target area by performing data analysis on the current road condition data of the target area, where the current road condition data includes real-time traffic parameters of each road segment, and:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in a fifth implementation manner of the third aspect, the disclosure includes a third obtaining module, in the third obtaining module, performing weighted average on real-time congestion indexes of each road segment in the target area, to obtain a portion of the real-time congestion index of the target area, where the portion is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in a sixth implementation manner of the third aspect, the disclosure performs data analysis on current mobile positioning data of the target area in the third obtaining module, and obtains a portion of current passenger flow state information of the target area, where the portion is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in a seventh implementation manner of the third aspect, the disclosure performs data analysis on current mobile positioning data and traffic event data of the target area in the third obtaining module, and obtains a portion of current event state information of the target area, where the portion is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in an eighth implementation manner of the third aspect, the disclosure includes that the third obtaining module performs data analysis on current road condition data of the target area, obtains a portion of current road traffic state information of the target area, and is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, the disclosure is in a ninth implementation manner of the third aspect, where the first prediction module is configured to:

calculating the traffic flow increment of the target area at the future moment;

In a fourth aspect, an embodiment of the present disclosure provides an electronic device, including a memory for storing one or more computer instructions for supporting an area traffic monitoring apparatus to perform the above-described area traffic monitoring method, and a processor configured to execute the computer instructions stored in the memory. The regional traffic monitoring device may also include a communication interface for the regional traffic monitoring device to communicate with other devices or communication networks.

In a fifth aspect, embodiments of the present disclosure provide a computer readable storage medium storing computer instructions for use by an area traffic monitoring device, comprising computer instructions for performing the above-described area traffic monitoring method for an area traffic monitoring device.

In a sixth aspect, embodiments of the present disclosure provide a computer program product comprising a computer program/instruction which, when executed by a processor, implements the steps of the regional traffic monitoring method described above.

In a seventh aspect, an embodiment of the present disclosure provides a navigation method, in which a navigation route calculated based at least on a start point, an end point, and a regional traffic monitoring situation is obtained, navigation guidance is performed based on the navigation route, and the regional traffic monitoring situation is implemented based on the method of any one of claims 1 to 10.

The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:

According to the technical scheme, based on the current road condition data, the mobile positioning data and the traffic event data of the target area, the current road traffic state information, the current passenger flow state information and the current event state information of the target area can be obtained and output through three dimensional analysis of the traffic jam degree, the passenger flow crowding degree and the influence degree of the event on traffic, so that an urban traffic management department can timely find whether unexpected events such as traffic accidents, passenger flow jams, traffic jams and the like affecting people's travel occur in the target area or not through checking the current road traffic state information, the passenger flow state information and the current event state information of the output target area in real time in the daily inspection and emergency management process, and further the working efficiency can be improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of embodiments of the disclosure.

Drawings

Other features, objects and advantages of the embodiments of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the drawings:

FIG. 1 illustrates a flow chart of a regional traffic monitoring method according to an embodiment of the present disclosure;

FIG. 2 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure;

FIG. 3 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure;

FIG. 4 shows a block diagram of an electronic device according to an embodiment of the present disclosure;

Fig. 5 is a schematic diagram of a computer system suitable for use in implementing a regional traffic monitoring method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, exemplary implementations of the embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. In addition, for the sake of clarity, portions irrelevant to description of the exemplary embodiments are omitted in the drawings.

In the presently disclosed embodiments, it is to be understood that the terms such as "comprises" or "comprising" and the like are intended to indicate the presence of features, numbers, steps, acts, components, portions, or combinations thereof disclosed in the present specification, and are not intended to exclude the possibility of one or more other features, numbers, steps, acts, components, portions, or combinations thereof being present or added.

In addition, it should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. Embodiments of the present disclosure will be described in detail below with reference to the attached drawings in conjunction with the embodiments.

According to the technical scheme provided by the embodiment of the disclosure, the regional traffic monitoring method is provided, and based on the current road condition data, the mobile positioning data and the traffic event data of the target region, the current road traffic state information, the current passenger flow state information and the current event state information of the target region are obtained and output through three dimensional analysis of traffic jam degree, passenger flow congestion degree and the influence degree of the event on traffic, so that urban traffic management departments can timely find whether sudden events such as traffic accidents, passenger flow congestion, traffic jams and the like affecting people's travel occur in the target region or not through checking the current road traffic state information, the current passenger flow state information and the current event state information of the output target region in real time in the daily inspection and emergency management process, and further can timely solve the problems and improve the working efficiency.

Fig. 1 shows a flowchart of a regional traffic monitoring method according to an embodiment of the present disclosure, which includes the following steps S101 to S104 as shown in fig. 1:

in step S101, acquiring traffic geographic information of a target area from a geographic space database;

in step S102, based on the traffic geographic information, inquiring and acquiring current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database;

In step S103, performing data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area, and obtaining current road traffic state information, passenger flow state information and event state information of the target area;

In step S104, the current road traffic state information, passenger flow state information, and event state information of the target area are output.

In an embodiment of the disclosure, the method for monitoring regional traffic may be applied to a computer, a computing device, a server, a service cluster, and other electronic devices capable of performing regional traffic monitoring.

In an embodiment of the disclosure, the electronic device may be an inspection large screen device, or may be another electronic device that communicates with the inspection large screen device. For example, the large-screen inspection device may be a large-screen inspection terminal for urban traffic management, and if the electronic device is the large-screen inspection terminal for urban traffic, the large-screen inspection terminal for urban traffic may perform the above steps S101 to S104 in real time, display the current road traffic status information, passenger flow status information, and event status information of the target area on the screen of the large-screen inspection terminal for urban traffic, or display the current road traffic status information, passenger flow status information, and event status information of the target area on the screen of the large-screen inspection device when receiving a traffic monitoring request instruction for the target area, which is input by a monitoring person transmitted by the large-screen inspection device. If the electronic device is other electronic devices communicating with the large-screen inspection device, the electronic device may execute steps S101 to S104 to send current road traffic state information, passenger flow state information and event state information of the target area to the large-screen inspection device in real time, or may send current road traffic state information, passenger flow state information and event state information of the target area to the large-screen inspection device when receiving a traffic monitoring request message for the target area, which is input by a monitoring person sent by the large-screen inspection device; when staff in the urban traffic management department needs to know traffic conditions of a certain target area, a traffic monitoring request message for the target area can be input through an input device such as a touch screen or a keyboard of the urban traffic inspection large screen terminal, the traffic monitoring request message is used for requesting to acquire traffic condition information of the target area, and after receiving the traffic monitoring request instruction, the urban traffic inspection large screen terminal sends the traffic monitoring request message for the target area to the electronic equipment, and the traffic monitoring request message is used for requesting the electronic equipment to return the traffic condition information of the target area.

In an embodiment of the present disclosure, the target area refers to various areas where traffic conditions need to be monitored, and the target area may be a key area capable of attracting a large amount of traffic in a scene of a major event, holidays, daily inspections, or the like, such as an area where a place of a major event is held, or an area where a certain scenic spot is located.

In one embodiment of the present disclosure, the traffic geographic information includes geographic information capable of representing various objects associated with traffic within the target area. The traffic geographic information may include boundary information of the target area, POIs (Point of Interest, points of interest) within the target area, and link information. The boundary information of the target area is used for determining the area range of the target area; the POI is a term in a geographic information system, and generally refers to all geographic objects which can be abstracted into points, especially some geographic entities closely related to life of people, such as schools, banks, restaurants, gas stations, hospitals, supermarkets and the like. Each POI contains four aspects of information, namely name, category, longitude and latitude; the link information includes a link ID of each link in the target area, position information of the link, and the like. The boundary information, POI and road section information of the target area can be obtained by adding, deleting, modifying and searching the geographic space database, screening and matching.

In an embodiment of the present disclosure, the road condition data includes data capable of representing road conditions of each road section, such as traffic information including traffic speed or time of vehicles on the road section and traffic flow information including traffic amount of vehicles on the road section; the current road condition data of each road section in the target area can be screened out from the database of the traffic road conditions according to the road section information of the target area.

In an embodiment of the present disclosure, the mobile positioning data includes positioning data obtained by positioning the mobile terminal at the current time, the mobile positioning data currently positioned in the target area may be screened out from a database of the mobile positioning data according to boundary information of the target area, and the screened mobile positioning data may be used as the current mobile positioning data of the target area.

In one embodiment of the present disclosure, the traffic event includes various events capable of affecting traffic such as traffic accidents, traffic control events, and road construction events, among others. The traffic event data includes type, duration, and location information of the traffic event. Traffic event data of traffic events currently occurring in the target area can be screened out from the database of traffic event data according to the traffic geographic information of the target area, and the screened traffic event data can be used as the current traffic event data of the target area.

For example, assuming that a traffic monitoring request message for a shore business district in Hangzhou city is received, the electronic device may obtain, from the geospatial database, boundary information of a shore business district in Hangzhou city defined in advance, and further obtain information of each POI and each road section located within the boundary of the shore business district in Hangzhou city. And then the current traffic speed and the number of vehicles on each road section in the Hangzhou city lakeside business district can be obtained from the traffic road condition database, the mobile positioning data currently positioned in the Hangzhou city lakeside business district are screened from the mobile positioning data database, and the traffic event data of traffic events such as traffic accidents, traffic control events, road construction events and the like currently occurring in each POI and each road section in the Hangzhou city lakeside business district are screened from the traffic event data database.

In an embodiment of the present disclosure, the current road condition data, the mobile positioning data and the traffic event data of the target area may be obtained by constructing real-time databases of the mobile positioning data, the traffic road condition data and the traffic event data and selecting from the corresponding databases.

In an embodiment of the present disclosure, the road traffic state information includes an index or a flag capable of indicating a current road traffic state of the target area, the road traffic state may include various states such as severe congestion, creep, smooth and fast smooth, the passenger flow state includes an index or a flag capable of indicating a current passenger flow state of the target area, the passenger flow state may include various states such as severe congestion, moderate, loose and extremely loose, and the event state information includes various information capable of indicating an influence degree of a current traffic event of the target area. For example, current road traffic state information, passenger flow state information, and event state information of each target area as shown in table 1 may be acquired:

TABLE 1

In an embodiment of the present disclosure, when the current road traffic state information, the passenger flow state information, and the event state information of the target area are obtained, the current road traffic state information, the passenger flow state information, and the event state information of the target area may be output. For example, the electronic device may send the current road traffic state information, the passenger flow state information, and the event state information of the target area to the large screen inspection device, and the large screen inspection device may display the current road traffic state information, the passenger flow state information, and the event state information of the target area at the target area of the electronic map displayed on the screen. Or a suspension frame can be arranged at a preset area of the electronic map to display the current road traffic state information, passenger flow state information and event state information of each target area.

In the embodiment, the current road condition data, the mobile positioning data and the traffic event data of the target area can be obtained in real time to carry out data analysis and monitoring, so that the real-time performance of the monitoring data is improved, and a monitoring person can timely know the traffic condition of the target area through the implemented monitoring data; compared with the prior art that only road condition analysis and passenger flow analysis are carried out for monitoring, the monitoring dimension is more abundant, and monitoring staff can directly find whether unexpected events such as traffic accidents, passenger flow congestion, traffic jams and the like affecting people's travel occur in the target area according to the three information of road traffic state information, passenger flow state information and event state information.

In an embodiment of the present disclosure, the method may further include the steps of:

In this embodiment, the planned navigation data includes navigation-related data such as a navigation route and an estimated arrival time, etc., which the navigation server has planned for the user at the present time. According to the boundary information, POI and road section information of the target area, each planning navigation data of the current navigation route passing through the target area can be screened out from the navigation database of the electronic map manufacturer, and the screened planning navigation data can be used as the current planning navigation data of the target area.

In this embodiment, based on the current road condition data and the planned navigation data of the target area, it is possible to predict how many vehicles are expected to enter each road segment of the target area at a future time, how many vehicles are away from each road segment of the target area, so as to predict the road condition of each road segment in the target area in the future, and further predict the road traffic state information of the target area in the future. Based on the planning navigation data and the mobile positioning data, it can be determined how many mobile terminals are predicted to leave the target area at the future time and how many mobile terminals are predicted to enter the target area, so that the passenger flow volume of the predicted target area at the future time can be predicted, and further the passenger flow state information of the target area at the future time can be predicted and obtained.

In this embodiment, when the future road traffic state information and the passenger flow state information of the target area are predicted, the future road traffic state information and the passenger flow state information of the target area may be displayed on the electronic map.

The embodiment can predict the future road traffic state information and passenger flow state information of the target area based on the current road condition data, planning navigation data and mobile positioning data of the target area, provides a short-time prediction function, enables urban management departments, particularly traffic management departments, to grasp the future road traffic state and passenger flow state of the target area, and timely grasp the future evolution trend of the traffic condition of the target area, and can more specifically help the urban traffic management departments to find problems in advance in daily inspection and emergency management processes, solve the problems and improve the working efficiency.

In an embodiment of the present disclosure, the step S103, that is, the step of performing data analysis on the current road condition data, the mobile positioning data, and the traffic event data of the target area to obtain the current road traffic state information, the passenger flow state information, and the event state information of the target area, may include the following steps:

In this embodiment, the current road traffic state information of the target area may be obtained by analysis according to the current road condition data of the target area, such as traffic flow, traffic time or traffic speed.

In this embodiment, according to the current mobile positioning data of the target area, information such as the passenger flow volume and the passenger flow distribution situation in the target area can be obtained in real time, so as to analyze the current passenger flow state information of the target area.

In this embodiment, according to the current mobile positioning data and traffic event data of the target area, the accumulated number of people affected by the traffic events may be obtained as event state information, and the category and the number of traffic events may be counted as event state information.

In an embodiment of the disclosure, the current road condition data includes real-time traffic parameters of each road section, and the step of performing data analysis on the current road condition data of the target area to obtain current road traffic state information of the target area may include the following steps:

And determining the current traffic congestion state of the target area according to the real-time congestion index of the target area according to the corresponding relation between the preset real-time congestion index and the traffic congestion state.

In this embodiment, the current road traffic state information of the target area includes at least one of a real-time congestion index and a current traffic congestion state of the target area.

In this embodiment, the real-time traffic parameter may be a real-time traffic time or a real-time traffic speed. The road condition data of each road section in the target area comprises the real-time passing time or the real-time passing speed of each vehicle on each road section, and the average value of the real-time passing time or the real-time passing speed of each vehicle on each road section can be calculated as the real-time passing time or the real-time passing speed of the road section for one road section.

In this embodiment, the traffic parameter in the free-flow situation is the traffic speed or the traffic time that can be achieved by the vehicle in the case of low traffic, low density, each road section corresponding to a fixed traffic parameter in the free-flow situation.

In this embodiment, the real-time congestion index may be a real-time transit time/transit time in the case of free flow; or the real-time congestion index may be a real-time traffic speed/traffic speed in the case of free flow.

In this embodiment, the real-time congestion index of each road section in the target area may be counted, and weighted average may be performed to obtain the real-time congestion index of the target area. Here, the weight corresponding to each road section may be determined according to the position of each road section, may be determined according to the traffic flow of each road section, or may be set by a relevant person according to various requirements.

In this embodiment, the correspondence between the real-time congestion index range of the target area and the traffic congestion state may be set. Assuming that the traffic congestion states include congestion, creep and unblocked, the traffic congestion state corresponding to the traffic congestion state when the real-time congestion index is greater than 2 can be set as congestion, the traffic congestion state corresponding to the traffic congestion state when the real-time congestion index is within the range of [1.5, 2) is set as creep, and the traffic congestion state corresponding to the traffic congestion state when the real-time congestion index is less than or equal to 1.5 is set as unblocked. Thus, after the real-time congestion index of the target area is obtained, the traffic congestion state corresponding to the real-time congestion index range where the real-time congestion index is located can be determined.

In an embodiment of the disclosure, the step of obtaining the real-time congestion index of the target area by performing weighted average on the real-time congestion index of each road segment in the target area may include the following steps:

In this embodiment, the weight may be set for each link according to a rule that the weight corresponding to the link with the larger traffic flow is larger, and the sum of the weights of all links in the target area is 1.

In this embodiment, the sum of the real-time congestion index of each link in the target area multiplied by the weight of the link may be used as the real-time congestion index of the target area.

In an embodiment of the present disclosure, the step of performing data analysis on the current mobile positioning data of the target area to obtain current passenger flow state information of the target area may include the following steps:

and determining the current traffic congestion state of the target area according to the real-time traffic congestion index of the target area according to the corresponding relation between the preset real-time traffic congestion index and the traffic congestion state.

In this embodiment, the current traffic state information of the target area includes at least one of a real-time traffic congestion index and a current traffic congestion state of the target area

In this embodiment, the current real-time passenger flow volume of the target area may be obtained by statistics according to the current mobile positioning data of the target area. The passenger flow capacity of the target area is the passenger flow capacity moderately contained in the target area, each target area has a fixed passenger flow capacity, and the passenger flow capacity can be determined by the area characteristics of the target area, such as the area attribute, the area and the like. The real-time traffic congestion index of the target area is the real-time traffic volume of the target area/the traffic volume of the target area.

In this embodiment, a correspondence relationship between the real-time traffic congestion index range of the target area and the traffic congestion state may be set. Assuming that the traffic congestion states include congestion, moderate and loose, the traffic congestion state corresponding to the case where the real-time traffic congestion index is greater than 2 may be set as congestion, the traffic congestion state corresponding to the case where the real-time traffic congestion index is within the range of [1.5, 2) may be set as moderate, and the traffic congestion state corresponding to the case where the real-time traffic congestion index is equal to or less than 1.5 may be set as loose. Thus, after the real-time traffic congestion index of the target area is obtained, the traffic congestion state corresponding to the real-time traffic congestion index range where the real-time traffic congestion index is located can be determined.

In an embodiment of the present disclosure, the step of performing data analysis on the current mobile positioning data and the traffic event data of the target area to obtain the current event status information of the target area may include the following steps:

In this embodiment, the monitoring start time is a start time when the target area needs to be monitored, and by way of example, the target area is one area in the daily inspection scene, and daily monitoring is required, and the monitoring start time may be 0 point per day. Based on the current traffic event data of the target area, the number of traffic events in the target area from the monitoring starting time to the current time can be obtained through accumulated statistics, and the real-time traffic event quantity is obtained.

In this embodiment, the traffic event data includes location information of a traffic event currently occurring, and the number of locations near the traffic event may be determined according to the current mobile location data of the target area, where the number of locations is the number of persons that can be affected by the traffic event at this time, and the number of persons that occur at the traffic time occurrence location in each of the traffic event occurrence periods from the monitoring start time to the current time may be accumulated, so that an event affecting person index of the target area may be obtained.

In an embodiment of the disclosure, the step of performing data analysis on the current road condition data of the target area to obtain the current road traffic state information of the target area may further include the following steps:

And acquiring abnormal congestion information in the target area based on the current road condition data of the target area.

In the embodiment, according to the current road condition data of the target area, the conditions of a road section with extremely slow passing speed and the like can be obtained by analysis, and abnormal congestion information is obtained; the abnormal congestion information includes situation data indicating a location where abnormal congestion occurs, a range of congestion, and the like.

Here, it should be noted that, whether the cause of the abnormal congestion is a certain traffic event may also be analyzed by the traffic event data, and at this time, the abnormal congestion information may also include the cause of the abnormal congestion.

The method and the system can analyze and obtain the abnormal congestion information in the target area, are convenient for reminding the traffic management department of knowing the generation time, the generation position and other information of the abnormal congestion, are convenient for the traffic management department to design traffic organization and operation guarantee schemes for citizens, and guarantee basic traffic trips of urban residents.

In an embodiment of the disclosure, the step of performing data analysis on the current road condition data, the planning navigation data and the mobile positioning data of the target area, and predicting future road traffic state information and passenger flow state information of the target area may further include the following steps:

calculating the traffic flow increment of the target area at the future moment;

In this embodiment, the future road traffic state information of the target area includes traffic flow increment and traffic congestion state of the target area at a future time, and the future traffic state information of the target area includes traffic flow increment and traffic congestion state of the target area at the future time.

In this embodiment, the traffic flow increment is a traffic flow predicted value of the target area at a future time/a current traffic flow value of the target area by 100% -100%; the current road condition data of the target area comprises a current traffic flow value of the target area, how many vehicles can exit from the target area at the future moment and how many vehicles can enter the target area can be predicted according to the current planning navigation data of the target area and the road condition data of the target area, and then the traffic flow predicted value of the target area at the future moment can be obtained, and the traffic flow increment = the traffic flow predicted value of the target area at the future moment/the current traffic flow value of the target area is 100% -100%.

In this embodiment, the real-time congestion index of each road section in the target area may be obtained based on the current road condition data of the target area, so that the real-time congestion index of each previous time history may be directly obtained at the current time as the historical congestion index, thereby obtaining the trend of the historical congestion index.

In this embodiment, the historical congestion index tendency and the traffic flow increment of the target area at the future time may be analyzed to determine whether the traffic congestion state of the target area at the future time remains the same, whether it is to be changed from creep to congestion, whether it is to be changed from creep to smooth, and so on. For example, if the historical congestion index trend is an upward trend in the congestion state and the traffic flow increment at the future time is a positive value, it may be determined that the traffic congestion state of the target area at the future time is continuously in the congestion state; if the historical congestion index trend is a descending trend in a congestion state and the traffic flow increment at the future moment is a larger negative value, the traffic congestion state of the target area at the future moment can be judged to be changed from congestion to creep.

In this embodiment, the current movement positioning data of the target area may be counted to obtain the current passenger flow of the target area, and according to the current planning navigation data and the current passenger flow of the target area, it may be predicted how many people will get out of the target area and how many people will get into the target area at the future time, so that the predicted passenger flow value of the target area at the future time may be obtained, and further the passenger flow increment=the predicted passenger flow value of the target area/the current passenger flow value of the target area at the future time may be calculated by 100% -100%.

In this embodiment, the real-time traffic congestion index of the target area and the traffic increase of the target area at the future time may be analyzed to determine whether the traffic congestion state of the target area at the future time remains, whether it is to be changed from moderate to congestion, whether it is to be changed from congestion to loose, and so on. For example, if the real-time traffic congestion index is moderate and the traffic delta is a large positive value at a future time, it may be determined that the traffic congestion state of the target area at the future time is congested; if the real-time traffic congestion index is moderate and the traffic delta is a large negative value at the future time, it can be determined that the traffic congestion state of the target area at the future time is relaxed.

For example, the scheme can be applied to the inspection management of the urban traffic management department aiming at the key areas in the vacation of spring festival. In holiday scenes, a large amount of passenger flows need to go to a junction when entering and exiting the city, and a large amount of passenger flows need to go to scenic spots and business circles. By the scheme, the real-time ranking of regional congestion and passenger flow congestion and future prediction can be provided for the management department, and real-time influence personnel feedback is provided for traffic events issued by the management department. For example, the scheme can show that at a certain moment, the business district is most congested in the large-pleasing city in the sun, the real-time congestion index is 1.75, the traffic congestion state is a creep state, the real-time traffic congestion index is 66%, the traffic congestion state is moderate, the traffic flow is expected to be reduced slightly in the future 30 minutes, the traffic flow increment is-14%, and the traffic flow increment is-24%; the number of real-time traffic events in the business district is 58, and the number of event influencing people is 54 ten thousand.

Or the scheme can be applied to the inspection management of urban traffic management departments aiming at the areas along the lines of the activities in the marathon activities. In a major activity scene, a management department needs to check traffic and passenger flows in key areas along the line. The user can customize the region list according to the scene requirement. For example, the scheme can show that the area at the end point of Marthon Guangzhou is most congested at a certain moment, the real-time congestion index is 2.11, the traffic congestion state is a serious congestion state, the real-time traffic congestion index is 64%, the traffic congestion state is moderate, the traffic flow is expected to be reduced slightly for 30 minutes in the future, the traffic flow increment is-10%, the traffic flow increment is 1%, the number of real-time traffic events in effect in the area is 9, and the event influencing personnel index is 36 ten thousand personnel.

The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure.

Fig. 2 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 2, the area traffic monitoring device includes:

a static area data acquisition module 201 configured to acquire traffic geographic information of the target area from a geospatial database;

A dynamic region data obtaining module 202 configured to obtain current road condition data, mobile positioning data and traffic event data of the target region from a corresponding database based on the traffic geographic information;

The road traffic state monitoring module 203 is configured to perform data analysis on the current road condition data of the target area, and acquire the current road traffic state information of the target area;

the passenger flow state monitoring module 204 is configured to perform data analysis on the current mobile positioning data of the target area, and acquire the current passenger flow state information of the target area;

the event state monitoring module 205 is configured to perform data analysis on the current mobile positioning data and traffic event data of the target area, and acquire current event state information of the target area;

the output module 206 is configured to output current road traffic state information, passenger flow state information and event state information of the target area.

In an embodiment of the disclosure, the regional traffic monitoring device may be applied to a computer, a computing device, a server, a service cluster, and other electronic devices capable of performing regional traffic monitoring.

In an embodiment of the disclosure, the static area data obtaining module 201 may obtain, from a geospatial database, traffic geographic information of a target area, where the traffic geographic information may include boundary information of the target area, POI and road segment information in the target area, as shown in fig. 2.

In an embodiment of the disclosure, as shown in fig. 2, the dynamic area data obtaining module 202 may screen out current road condition data of each road section in the target area from the database of the traffic road condition based on the road section information of the target area; screening mobile positioning data currently positioned in the target area from a database of the mobile positioning data based on the boundary information of the target area; and screening traffic event data of traffic events currently occurring at corresponding road sections and POIs in the target area from the traffic event data database according to the road section information and POIs in the target area, and taking the screened traffic event data as the current traffic event data of the target area.

In an embodiment of the present disclosure, as shown in fig. 2, the road traffic state monitoring module 203 may perform data analysis on current road condition data of the target area to obtain current road traffic state information of the target area; as shown in fig. 2, a real-time congestion index of each road section in the target area may be calculated first, where the real-time congestion index is a real-time traffic parameter/a traffic parameter under the free flow condition; carrying out weighted average on the real-time congestion indexes of all road sections in the target area to obtain the real-time congestion index of the target area; determining the current traffic congestion state of the target area according to the real-time congestion index of the target area according to the corresponding relation between the preset real-time congestion index and the traffic congestion state; the current road traffic state information of the target area comprises at least one of a real-time congestion index and a current traffic congestion state of the target area.

In an embodiment of the present disclosure, as shown in fig. 2, the passenger flow state monitoring module 204 may perform data analysis on current mobile positioning data of the target area to obtain current passenger flow state information of the target area; as shown in fig. 2, current mobile positioning data of the target area may be counted first to obtain a real-time traffic volume of the target area, and a real-time traffic congestion index of the target area is calculated, where the real-time traffic congestion index is a real-time traffic volume of the target area/a traffic volume of the target area; then, according to a corresponding relation between a preset real-time passenger flow congestion index and a passenger flow congestion state, determining the current passenger flow congestion state of the target area according to the real-time passenger flow congestion index of the target area; the current passenger flow state information of the target area comprises at least one of a real-time passenger flow congestion index and a current passenger flow congestion state of the target area.

In an embodiment of the present disclosure, as shown in fig. 2, the event status monitoring module 205 may perform data analysis on the current mobile positioning data and traffic event data of the target area, to obtain the current event status information of the target area. As shown in fig. 2, the real-time traffic event amount in the target area from the monitoring start time to the current time can be counted based on the current traffic event data of the target area; based on the current mobile positioning data and traffic event data of the target area, counting the mobile positioning quantity within a preset range from the position of the traffic event in the target area, and obtaining an event influence people index of the target area, wherein the event influence people index is the sum of accumulated influence people of all traffic events in the target area from the monitoring starting moment to the current moment.

In an embodiment of the disclosure, the electronic device may be an inspection large screen device, or may be another electronic device that communicates with the inspection large screen device. If the electronic device is an inspection large screen device, the output module 206 controls the display screen of the inspection large screen device to display current road traffic status information, passenger flow status information, and event status information of the target area. If the electronic device is another electronic device that communicates with the large-screen inspection device, the output module 206 may send the current road traffic status information, the passenger flow status information, and the event status information of the target area to the large-screen inspection device, so that the large-screen inspection device may display the current road traffic status information, the passenger flow status information, and the event status information of the target area on the display screen.

In a possible implementation manner, as shown in fig. 2, the dynamic area data obtaining module 202 is further configured to query and obtain current planning navigation data of the target area from a navigation database based on the traffic geographic information;

the road traffic state prediction module 207 is configured to perform data analysis on current road condition data and planning navigation data of the target area, and predict future road traffic state information of the target area;

A passenger flow state prediction module 208 configured to perform data analysis on current mobile positioning data and planning navigation data of the target area, and predict future passenger flow state information of the target area;

The output module 206 is further configured to output future road traffic status information and passenger flow status information of the target area.

In this embodiment, the dynamic area data obtaining module 202 may screen each planned navigation data of the current navigation route passing through the target area from the navigation database of the electronic map manufacturer based on the boundary information, POI and road section information of the target area obtained by the area static data obtaining module 201, and may use the screened planned navigation data as the current planned navigation data of the target area.

In this embodiment, as shown in fig. 2, the road traffic state prediction module 207 may perform data analysis on the current planned navigation data and road condition data of the target area, and predict a traffic flow predicted value of the target area at a future time; calculating traffic flow increment, wherein the traffic flow increment is a traffic flow predicted value of the target area at a future moment/a current traffic flow value of the target area 100% -100%; the current road condition data of the target area comprises the current traffic flow value of the target area; based on the real-time congestion indexes of each time of the history, obtaining a history congestion index trend; analyzing the historical congestion index trend and the traffic flow increment of the target area at the future moment, and predicting the traffic congestion state of the target area at the future moment; the future road traffic state information of the target area comprises at least one of traffic flow increment and traffic jam state of the target area at the future moment

In this embodiment, as shown in fig. 2, the traffic state prediction module 208 may count current movement positioning data of the target area, determine a current traffic value of the target area, predict a traffic predicted value of the target area at a future time based on current planned navigation data and movement positioning data of the target area, and calculate the traffic increment, where the traffic increment is a traffic predicted value of the target area at the future time/the current traffic value of the target area is 100% -100%; analyzing a real-time passenger flow congestion index of a target area and a passenger flow increment of the target area at a future moment, and predicting a passenger flow congestion state of the target area at the future moment; the future traffic state information of the target area includes at least one of a traffic increase and a traffic congestion state of the target area at a future time.

In this embodiment, the regional traffic monitoring device corresponds to the regional traffic monitoring method, and specific details may be referred to the description of the regional traffic monitoring method, which is not repeated herein.

Fig. 3 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 3, the area traffic monitoring device includes:

A first obtaining module 301 configured to obtain traffic geographic information of the target area from a geospatial database;

a second obtaining module 302, configured to query and obtain current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database based on the traffic geographic information;

a third obtaining module 303, configured to perform data analysis on current road condition data, mobile positioning data and traffic event data of the target area, and obtain current road traffic state information, passenger flow state information and event state information of the target area;

The second output module 304 is configured to output current road traffic state information, passenger flow state information and event state information of the target area.

In an embodiment of the disclosure, the apparatus further comprises:

In an embodiment of the disclosure, the traffic geographic information includes boundary information of the target area, POI and road section information within the target area.

In an embodiment of the present disclosure, the third obtaining module 303 is configured to:

In an embodiment of the disclosure, the current road condition data includes real-time traffic parameters of each road section, and the third obtaining module 303 performs data analysis on the current road condition data of the target area to obtain a portion of the current road traffic state information of the target area, where the portion is configured to:

In an embodiment of the present disclosure, the third obtaining module 303 performs weighted average on the real-time congestion indexes of each road segment in the target area, to obtain a portion of the real-time congestion index of the target area, where the portion is configured to:

In an embodiment of the present disclosure, the third obtaining module 303 performs data analysis on the current mobile positioning data of the target area, and obtains a portion of the current passenger flow status information of the target area, where the portion is configured to:

In an embodiment of the present disclosure, the third obtaining module 303 performs data analysis on the current mobile positioning data and the traffic event data of the target area, and obtains the current event status information of the target area, where the data is configured to:

In an embodiment of the present disclosure, the third obtaining module 303 performs data analysis on the current road condition data of the target area, obtains a portion of the current road traffic state information of the target area, and is configured to:

In an embodiment of the disclosure, the first prediction module is configured to:

calculating the traffic flow increment of the target area at the future moment;

The embodiment of the disclosure also discloses a navigation service, wherein a road condition determination result of the navigated object is obtained based on the regional traffic monitoring condition, and a navigation guiding service of a corresponding scene is provided for the navigated object based on the road condition determination result. The corresponding scene is one or a combination of a plurality of AR navigation, overhead navigation or main and auxiliary road navigation.

The embodiment of the disclosure also discloses a navigation method, wherein a navigation route calculated at least based on a starting point, an ending point and an area traffic monitoring condition is obtained, navigation guidance is performed based on the navigation route, and the area traffic monitoring condition is realized based on any one of the above methods.

The present disclosure also discloses an electronic device, fig. 4 shows a block diagram of the electronic device according to an embodiment of the present disclosure, and as shown in fig. 4, the electronic device 400 includes a memory 401 and a processor 402; wherein,

The memory 401 is used to store one or more computer instructions, which are executed by the processor 402 to implement the above-described method steps.

As shown in fig. 5, the computer system 500 includes a processing unit 501 that can execute various processes in the above-described embodiments in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data required for the operation of the system 500 are also stored. The processing unit 501, the ROM502, and the RAM503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed. The processing unit 501 may be implemented as a processing unit CPU, GPU, TPU, FPGA, NPU or the like.

In particular, according to embodiments of the present disclosure, the methods described above may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing the regional traffic monitoring method. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 509, and/or installed from the removable medium 511.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware. The units or modules described may also be provided in a processor, the names of which in some cases do not constitute a limitation of the unit or module itself.

As another aspect, the embodiments of the present disclosure also provide a computer-readable storage medium, which may be a computer-readable storage medium included in the apparatus described in the above-described embodiment; or may be a computer-readable storage medium, alone, that is not assembled into a device. The computer-readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the embodiments of the present disclosure.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the inventive concept. Such as the technical solution formed by mutually replacing the above-mentioned features and the technical features with similar functions (but not limited to) disclosed in the embodiments of the present disclosure.

Claims

1.A method of regional traffic monitoring, comprising:

Carrying out data analysis on current road condition data, mobile positioning data and traffic event data of the target area to obtain current road traffic state information, passenger flow state information and event state information of the target area, wherein the event state information comprises information representing the influence degree of a current traffic event in the target area; the event state information is obtained by carrying out data analysis on the current mobile positioning data and traffic event data of the target area;

2. The method of claim 1, the method further comprising:

3. The method of claim 1, wherein the traffic geographic information includes boundary information of the target area, point of interest POI and road segment information within the target area.

4. The method of claim 1, wherein the performing data analysis on the current road condition data, the mobile positioning data, and the traffic event data of the target area to obtain the current road traffic state information, the passenger flow state information, and the event state information of the target area comprises:

5. The method of claim 4, wherein the current road condition data includes real-time traffic parameters of each road segment, the performing data analysis on the current road condition data of the target area to obtain the current road traffic state information of the target area includes:

6. The method of claim 5, wherein the weighting the real-time congestion index of each road segment in the target area to obtain the real-time congestion index of the target area comprises:

7. The method of claim 4, wherein the performing data analysis on the current mobile positioning data of the target area to obtain current passenger flow state information of the target area includes:

Counting the current mobile positioning data of the target area to obtain the real-time passenger flow volume of the target area;

8. The method of claim 4, wherein the data analysis of the current mobile positioning data and traffic event data of the target area to obtain the current event status information of the target area comprises:

9. The method of claim 4, wherein the performing data analysis on the current road condition data of the target area to obtain the current road traffic state information of the target area further comprises:

10. The method of claim 2, wherein the data analysis of the current road condition data, the planned navigation data, and the mobile positioning data of the target area, and the prediction of future road traffic state information and passenger flow state information of the target area, comprises:

calculating the traffic flow increment of the target area at the future moment;

11. An area traffic monitoring device comprising:

The event state monitoring module is configured to perform data analysis on the current mobile positioning data and traffic event data of the target area to acquire current event state information of the target area, wherein the event state information comprises information representing the influence degree of the current traffic event in the target area; the event state information is obtained by carrying out data analysis on the current mobile positioning data and traffic event data of the target area;

12. The apparatus of claim 11, wherein,

13. An area traffic monitoring device comprising:

The third acquisition module is configured to perform data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to acquire current road traffic state information, passenger flow state information and event state information of the target area, wherein the event state information comprises information representing the influence degree of the current traffic event in the target area; the event state information is obtained by carrying out data analysis on the current mobile positioning data and traffic event data of the target area;

14. An electronic device comprising a memory and at least one processor; wherein the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the at least one processor to implement the method steps of any of claims 1-10.

15. A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the method steps of any of claims 1-10.

16. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the method steps of any of claims 1-10.

17. A navigation method, wherein a navigation route calculated based at least on a start point, an end point and a regional traffic monitoring situation is obtained, navigation guidance is performed based on the navigation route, the regional traffic monitoring situation being achieved based on the method of any one of claims 1-10.