CN112598169B - Traffic operation situation assessment method, system and device - Google Patents
Traffic operation situation assessment method, system and device Download PDFInfo
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Abstract
The embodiment of the application discloses a method, a system and a device for evaluating traffic operation situation. According to the technical scheme provided by the embodiment of the application, a traffic situation instant situation evaluation model is constructed by acquiring the data characteristics of each time period in a plurality of historical dates, the traffic jam index of the corresponding time period and the traffic jam index of the next time period. The data characteristics are integrated with data factors of all aspects, so that the constructed model can adapt to complex scenes, the traffic operation condition of the next time period can be predicted based on the current data characteristics, passengers can be helped to go out efficiently, and the traffic operation efficiency is further improved.
Description
Technical Field
The embodiment of the application relates to the technical field of traffic data processing, in particular to a method, a system and a device for evaluating traffic operation situation.
Background
With the increase of urban population and motor vehicle reserves, urban traffic often has the situations of congestion, slow running and the like, the urban traffic operation efficiency is low, and the trip efficiency is reduced.
The analysis and prediction of the road traffic operation situation is the basis for implementing road traffic control and control by the intelligent traffic system. The accurate prediction of the road traffic operation situation can ensure the safe and smooth operation of the traffic flow, help road traffic users to reasonably plan the scheme according to the change situation of the road traffic operation situation at the future moment, help road traffic managers to learn the future road traffic operation situation in advance so as to be convenient for the accurate formulation of traffic control measures, and improve the driving safety and the operation efficiency of the road.
However, the existing road traffic operation situation prediction method mainly utilizes a basic prediction model and traffic flow operation traffic parameter data short-time change situation prediction, and the accuracy of a prediction result is low. And the acquired parameters are single, so that various conditions cannot be comprehensively covered, and the situation is difficult to predict and analyze when the actual traffic condition is more complicated.
Disclosure of Invention
The embodiment of the application provides a traffic operation situation evaluation method, a system and a device, so that the traffic operation situation is analyzed and predicted in real time by integrating various road conditions, and the traffic operation efficiency can be improved.
In a first aspect, an embodiment of the present application provides a traffic operation situation assessment method, including:
dividing 24 hours a day into a plurality of continuous time periods, and acquiring data characteristics of each time period in a plurality of historical dates;
acquiring a traffic jam index corresponding to each time period in each historical date and a traffic jam index of the next adjacent time period;
training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, and
training a traffic operation situation prediction model according to the data characteristics and the traffic congestion index of the next time period adjacent to the time period corresponding to the data characteristics;
acquiring real-time data characteristics, inputting the data characteristics into a traffic operation instant situation assessment model and a traffic operation situation prediction model, and respectively outputting an instant situation assessment result and an operation situation early warning result;
wherein the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data.
Further, collecting real-time data characteristics includes:
receiving a situation request instruction input by a user;
acquiring the current position coordinate of a user, and selecting a circle with the position coordinate as an origin and a preset distance as a radius as a target area;
data characteristics of the target area are acquired.
Further, weight proportions corresponding to traffic characteristic data, passenger riding characteristic data, environment characteristic data and police force characteristic data in the data characteristics are set, and weight characteristic values of the data characteristics are calculated according to each data characteristic and the corresponding weight proportion;
training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, wherein the method comprises the following steps:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation instant situation evaluation model according to the sum of the weight characteristic values and the traffic congestion index of the time period corresponding to the data characteristic.
Further, training a traffic operation situation prediction model according to the data feature and the traffic congestion index of the next time period adjacent to the time period corresponding to the data feature comprises:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation situation prediction model according to the sum of the weight characteristic values and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristic.
Furthermore, the traffic characteristic data comprises the vehicle running speed of each road in the urban traffic network, each road in the urban traffic network is respectively and correspondingly provided with an importance index, and the congestion index of each road is calculated according to the importance index and the vehicle running speed.
Further, obtaining an operation situation early warning result of any road, wherein the operation situation early warning result comprises a congestion prediction index;
comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, defining the road as abnormal congestion;
the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes.
In a second aspect, an embodiment of the present application provides a traffic operation situation assessment system, including a data layer, a service layer, and a client application layer, where the data layer includes an acquisition device module, the acquisition device module is configured to acquire data characteristics, the service layer is configured to construct a traffic operation instant situation assessment model and a traffic operation situation prediction model according to historical data characteristics, and input the data characteristics from the data layer to the traffic operation instant situation assessment model and the traffic operation situation prediction model to output an instant situation assessment result and an operation situation early warning result, respectively; the client application layer is used for receiving a situation request instruction of a user and receiving an instant situation evaluation result and an operation situation early warning result.
In a third aspect, an embodiment of the present application provides a traffic operation situation assessment apparatus, including a history data acquisition module: the system is used for dividing 24 hours a day into a plurality of continuous time periods and acquiring data characteristics of each time period in a plurality of historical dates;
a congestion index acquisition module: the traffic congestion index acquisition module is used for acquiring the traffic congestion index corresponding to each time slot in each historical date and the traffic congestion index of the next adjacent time slot;
a model training module: for training a traffic operation instant situation assessment model according to the data characteristics and the traffic congestion index of the time period corresponding to the data characteristics, an
Training a traffic operation situation prediction model according to the data characteristics and the traffic congestion index of the next time period adjacent to the time period corresponding to the data characteristics;
the real-time data acquisition module: the system comprises a traffic operation instant situation assessment model, a traffic operation situation prediction model, a real-time data characteristic acquisition module, a traffic operation instant situation assessment module and a traffic operation situation early warning module, wherein the traffic operation instant situation assessment model and the traffic operation situation prediction model are respectively used for acquiring real-time data characteristics and respectively outputting an instant situation assessment result and an operation situation early warning result;
the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data.
Further, real-time data characteristics are collected and are realized through the following modules:
an instruction receiving module: the situation request instruction is used for receiving situation request instructions input by a user;
an area acquisition module: the system comprises a position acquisition module, a display module and a control module, wherein the position acquisition module is used for acquiring the current position coordinate of a user and selecting a circle taking the position coordinate as an origin and a preset distance as a radius as a target area;
a characteristic acquisition module: for acquiring data characteristic of the target area.
Further, weight proportions corresponding to traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data in the data characteristics are set, and weight characteristic values of the data characteristics are calculated according to each data characteristic and the corresponding weight proportion;
training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, wherein the method comprises the following steps:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation instant situation evaluation model according to the sum of the weight characteristic values and the traffic congestion index of the time period corresponding to the data characteristic.
Further, training a traffic operation situation prediction model according to the data feature and the traffic congestion index of the next time period adjacent to the time period corresponding to the data feature comprises:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation situation prediction model according to the sum of the weight characteristic values and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristic.
Furthermore, the traffic characteristic data comprises the vehicle running speed of each road in the urban traffic network, each road in the urban traffic network is respectively and correspondingly provided with an importance index, and the congestion index of each road is calculated according to the importance index and the vehicle running speed.
Further, obtaining an operation situation early warning result of any road, wherein the operation situation early warning result comprises a congestion prediction index;
comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, defining the road as abnormal congestion;
the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes.
In a fourth aspect, an embodiment of the present application provides a computer device, including: a memory and one or more processors;
the memory to store one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the traffic operation situation assessment method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the traffic operating situation assessment method according to the first aspect.
According to the traffic operation instant situation assessment model and the traffic operation situation prediction model established according to the historical data characteristics and the traffic congestion index, data factors of all aspects are integrated through the data characteristics, so that the established model can adapt to complex scenes, the traffic operation situation of the next time period can be predicted based on the current data characteristics, passengers can be helped to go out efficiently, and the traffic operation efficiency is improved.
Drawings
Fig. 1 is a flowchart of a traffic operation situation assessment method according to an embodiment of the present application;
fig. 2 is a flowchart of another traffic operation situation assessment method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of a traffic operation situation assessment system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a traffic operation situation assessment apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 shows a flowchart provided in an embodiment of the present application, and the traffic operation situation assessment method provided in the embodiment of the present application may be executed by a traffic operation situation assessment apparatus, which may be implemented in a hardware and/or software manner and integrated in a computer device.
The following description will be given taking as an example a method for the traffic operation situation evaluation device to perform the traffic operation situation evaluation. Referring to fig. 1, the traffic operation situation assessment method includes:
s101: dividing 24 hours a day into a plurality of continuous time periods, and acquiring data characteristics of each time period in a plurality of historical dates.
In an embodiment of the invention, the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data. The time node characteristic data refers to time corresponding to data characteristics, and each time point corresponds to a matched time period. The traffic characteristic data mainly comprises traffic event information, traffic facility position information, vehicle position information and real-time road condition information in the embodiment of the invention. The environmental characteristic data mainly comprises weather information and road construction information. The passenger riding characteristic data mainly comprises riding vehicle types and the like, for example, when most passengers select private cars or network appointments to appear, road pressure is increased to a certain extent, and if most passengers select public transport vehicle types, the road pressure is reduced, and based on the passenger riding characteristic data, road operation situations can be acquired to a certain extent. The police force characteristic data mainly refer to the information of the corresponding rail rides and the corresponding policemen on different traffic road sections, and comprise the number of the policemen, the contact way and the like. Based on the police force characteristic data, the time length of dredging traffic can be analyzed and judged when the road is congested.
In the embodiment, various types of information are accessed, data characteristics cover data information of multiple aspects, and statistics and analysis can be carried out on traffic conditions more comprehensively. The traffic event information is collected by a high-definition camera installed in a city, for example. The vehicle position information can be acquired by a GIS positioning system and a positioning system of the vehicle itself, for example. The passenger riding characteristic data is bound with the real name of the user through the traffic card, so that when the traffic card is read, the triggering time and the real name of the user can be obtained together.
The invention selects the data characteristics of a past period of time as data samples. A period of time as used herein refers to a number of days, which may or may not be continuous. And dividing the 24 hours of each day into a plurality of continuous time periods, and respectively acquiring the acquired data characteristics by taking each time period as a unit.
S102: and acquiring the traffic jam index corresponding to each time slot in each historical date and the traffic jam index of the next adjacent time slot.
S103: and training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam index of the time period corresponding to the data characteristics, and training a traffic operation situation prediction model according to the data characteristics and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristics.
In the embodiment of the invention, a traffic operation instant situation evaluation model is constructed through historical data characteristics and traffic jam indexes of corresponding time periods. The traffic operation instant situation assessment model can be constructed by setting weight proportions respectively corresponding to traffic characteristic data, passenger riding characteristic data, environment characteristic data and police force characteristic data in data characteristics, calculating weight characteristic values of the data characteristics according to each data characteristic and the corresponding weight proportion, then calculating the sum of the weight characteristic values of each data characteristic in a time period, and training the traffic operation instant situation assessment model according to the sum of the weight characteristic values and a traffic jam index of the time period corresponding to the data characteristic. And the congestion indexes corresponding to different traffic congestion indexes are set according to experience to correspond to different congestion situations, and generally, the congestion indexes are high, and the representative congestion situations are more serious.
The invention carries out multi-dimensional analysis and processing on traffic information, combines a historical road condition construction model and real-time conditions to carry out analysis on the instant situation of traffic operation, and can analyze the traffic flow of different road sections, the traffic operation influence caused by different weather and the like.
Correspondingly, the traffic operation situation prediction model and the traffic operation instant situation evaluation model are constructed in the same principle, the sum of the weight characteristic values of each data characteristic in a time period is calculated, and the traffic operation situation prediction model is trained according to the sum of the weight characteristic values and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristic.
The traffic operation situation prediction model constructed by combining the data characteristics of all aspects can output the traffic operation situation of the next time period according to the currently input data characteristics, help traffic operation early warning and avoid peak congestion in advance. Promote trip efficiency and resident's trip and experience.
S104: and acquiring real-time data characteristics, inputting the data characteristics into a traffic operation instant situation evaluation model and a traffic operation situation prediction model, and respectively outputting an instant situation evaluation result and an operation situation early warning result.
And by acquiring real-time data characteristics, inputting the data characteristics into the two models to output results, and respectively obtaining an instant situation evaluation result and an operation situation early warning result. The operation situation early warning result helps early warning, namely, a travel strategy is changed, and the instant situation assessment result helps to master the current traffic operation situation.
Example two
As shown in fig. 2, an embodiment of the present invention discloses another method for evaluating a traffic operation situation, including:
s201: dividing 24 hours a day into a plurality of continuous time periods, and acquiring data characteristics of each time period in a plurality of historical dates.
In an embodiment of the invention, the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data.
S202: and acquiring the traffic jam index corresponding to each time period in each historical date and the traffic jam index of the next adjacent time period.
S203: and training a traffic operation instant situation evaluation model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, and training a traffic operation situation prediction model according to the data characteristics and the traffic jam indexes of the next time period adjacent to the time period corresponding to the data characteristics.
S204: and acquiring real-time data characteristics, inputting the data characteristics into a traffic operation instant situation evaluation model and a traffic operation situation prediction model, and respectively outputting an instant situation evaluation result and an operation situation early warning result.
In the embodiment of the invention, the real-time data characteristics are collected by the server automatically according to the set requirements. Corresponding data characteristics can be respectively acquired through data acquisition equipment with different types and different functions and then uploaded to a server. And constructing a traffic operation instant situation evaluation model according to historical data characteristics and the traffic jam indexes of the corresponding time periods. The traffic Yunnan real-time situation assessment model can be constructed by setting weight proportions respectively corresponding to traffic characteristic data, passenger riding characteristic data, environment characteristic data and police force characteristic data in data characteristics, calculating a weight characteristic value of the data characteristics according to each data characteristic and the corresponding weight proportion, calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation real-time situation assessment model according to the sum of the weight characteristic values and a traffic jam index of the time period corresponding to the data characteristic. And the congestion indexes corresponding to different traffic congestion indexes are set according to experience to correspond to different congestion situations, and generally, the congestion indexes are high, and the representative congestion situations are more serious.
The invention carries out multi-dimensional analysis and processing on traffic information, combines a historical road condition construction model and real-time conditions to carry out analysis on the instant situation of traffic operation, and can analyze the traffic flow of different road sections, the traffic operation influence caused by different weather and the like.
Correspondingly, the traffic operation situation prediction model and the traffic operation instant situation evaluation model are constructed in the same principle, the sum of the weight characteristic values of each data characteristic in a time period is calculated, and the traffic operation situation prediction model is trained according to the sum of the weight characteristic values and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristic.
The traffic operation situation prediction model constructed by combining the data characteristics of all aspects can output the traffic operation situation of the next time period according to the currently input data characteristics, help traffic operation early warning and avoid peak congestion in advance. Promote trip efficiency and resident's trip and experience.
Further, in the embodiment of the present invention, the collected real-time data features are obtained by a user actively initiating a request. Specifically, a situation request instruction input by a user is received; acquiring the current position coordinate of a user, and selecting a circle with the position coordinate as an origin and a preset distance as a radius as a target area; data characteristics of the target area are acquired.
And the user inputs a situation request instruction through the client app or the webpage end. The situation request instruction comprises request time and the type of data characteristics. In the usual case, all the categories of data features that can be collected are chosen by default, but the categories of data features are also allowed to be user-defined for collection and further analysis. The user may be a passenger, a worker in charge of transportation, a traffic police, etc., and the identity role of the user is not limited in this embodiment. And according to the data characteristics of the target area, which are actively initiated by the user and collected, inputting a traffic operation instant situation evaluation model and a traffic operation situation prediction model aiming at the data characteristics and outputting corresponding results.
As a preferred mode of the present invention, in this embodiment, besides providing analysis of the overall urban traffic operation situation, vehicle data of any one road on a local traffic network may also be provided, where the vehicle data mainly refers to the vehicle operation speed and correspondingly includes the number of vehicles. Specifically, the traffic characteristic data comprises vehicle running speeds of all roads in an urban traffic network, each road in the urban traffic network is respectively and correspondingly provided with an importance index, and the congestion index of each road is calculated according to the importance index and the vehicle running speeds. Each road has different proportion weight on the whole traffic network, and some roads such as main roads have high weight, some rural roads have few running vehicles and low weight. Based on the set importance index, the importance index can be manually set according to the historical traffic situation of the whole traffic network.
Whether the congestion index is the same as the operation situation early warning result or not can be further judged based on the congestion index, and when the congestion index is different from the operation situation early warning result, for example, whether the congestion index is fed back to the user in the next time period or the congestion prediction index is low, but the congestion index obtained by the user according to the specific operation of the traffic road is high in the next time period actually, and if the congestion index is not matched with the congestion index, the current congestion is possibly abnormal. Normal congestion is generally referred to as a peak period or the like in the present embodiment, and the abnormality may be caused by an accident or the like. Therefore, an operation situation early warning result of any road is obtained, and the operation situation early warning result comprises a congestion prediction index; comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, defining the road as abnormal congestion; the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes. According to the condition of abnormal congestion, such as an accident, police force is needed to assist dredging, the nearby police force index determines the dredging condition to a certain extent, when the police officer is sufficient and the distance is closer, the abnormal congestion can be solved at a higher speed, and otherwise, the solving efficiency is lower. Therefore, the user can be helped to judge whether the traffic travel plan needs to be changed or the user continues to wait or other measures through further analysis of abnormal traffic jam and analysis of dredging duration.
EXAMPLE III
As shown in fig. 3, an embodiment of the present invention further provides a traffic operation situation assessment system, which includes a data layer 31, a service layer 32, and a client application layer 33, where the data layer 31 includes an acquisition device module 311, the acquisition device module 311 is configured to acquire data characteristics, the service layer 32 is configured to construct a traffic operation instant situation assessment model 321 and a traffic operation situation prediction model 322 according to historical data characteristics, and input data characteristics from the data layer to the traffic operation instant situation assessment model 321 and the traffic operation situation prediction model 322 to output an instant situation assessment result and an operation situation early warning result, respectively; the client application layer 33 is configured to receive a situation request instruction of a user, and receive an instant situation evaluation result and an operation situation early warning result.
Example four
As shown in fig. 4, an embodiment of the present invention further provides a traffic operation situation assessment apparatus, which includes a historical data acquisition module 401, a congestion index acquisition module 402, a model training module 403, and a real-time data acquisition module 404. The historical data acquisition module 401 is configured to divide 24 hours a day into a plurality of consecutive time periods, and acquire data characteristics of each time period in a plurality of historical dates; the congestion index obtaining module 402 is configured to obtain a traffic congestion index corresponding to each time segment on each historical date and a traffic congestion index of an adjacent next time segment; the model training module 403 is configured to train a traffic operation instant situation assessment model according to the data feature and a traffic congestion index of a time segment corresponding to the data feature, and train a traffic operation situation prediction model according to the data feature and a traffic congestion index of a next time segment adjacent to the time segment corresponding to the data feature; the real-time data acquisition module 404 is configured to acquire real-time data characteristics, input the data characteristics to a traffic operation instant situation assessment model and a traffic operation situation prediction model, and output an instant situation assessment result and an operation situation early warning result respectively; the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data.
In a preferred embodiment, the data characteristics are collected in real time and are realized through the following modules:
the instruction receiving module: the situation request instruction is used for receiving situation request instructions input by a user;
an area acquisition module: the system comprises a position acquisition module, a display module and a control module, wherein the position acquisition module is used for acquiring the current position coordinate of a user and selecting a circle taking the position coordinate as an origin and a preset distance as a radius as a target area;
a feature acquisition module: for acquiring data characteristic of the target area.
As a preferred embodiment, weight proportions corresponding to traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data in the data characteristics are set, and weight characteristic values of the data characteristics are calculated according to each data characteristic and the corresponding weight proportion;
training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, wherein the method comprises the following steps:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation instant situation evaluation model according to the sum of the weight characteristic values and the traffic congestion index of the time period corresponding to the data characteristic. Correspondingly, the sum of the weight characteristic values of each data characteristic in the time period is calculated, and a traffic operation situation prediction model is trained according to the sum of the weight characteristic values and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristic.
Preferably, the traffic characteristic data includes a vehicle running speed on each road in the urban traffic network, each road in the urban traffic network is respectively and correspondingly provided with an importance index, and the congestion index of each road is calculated according to the importance index and the vehicle running speed. Acquiring an operation situation early warning result of any road, wherein the operation situation early warning result comprises a congestion prediction index; comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, defining the road as abnormal congestion; the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes.
EXAMPLE five
An embodiment of the present invention provides a computer device, including: a memory and one or more processors; the memory for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement a traffic operation situation assessment method in accordance with the present invention.
EXAMPLE six
The embodiment of the present application further provides a storage medium containing computer executable instructions, which when executed by a computer processor, are configured to perform the method for assessing a traffic operation situation provided in the above embodiment, where the method for assessing a traffic operation situation includes: collecting monitoring information returned by intelligent cable monitoring equipment in real time, wherein the monitoring information comprises cable monitoring information and environment monitoring information; dividing 24 hours a day into a plurality of continuous time periods, and acquiring data characteristics of each time period in a plurality of historical dates; acquiring a traffic jam index corresponding to each time period in each historical date and a traffic jam index of the next adjacent time period; training a traffic operation instant situation assessment model according to the data characteristics and the traffic congestion indexes of the time periods corresponding to the data characteristics, and training a traffic operation situation prediction model according to the data characteristics and the traffic congestion indexes of the next time period adjacent to the time period corresponding to the data characteristics; and acquiring real-time data characteristics, inputting the data characteristics into a traffic operation instant situation evaluation model and a traffic operation situation prediction model, and respectively outputting an instant situation evaluation result and an operation situation early warning result.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage media" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application and containing computer-executable instructions is not limited to the traffic situation operation method described above, and may also perform related operations in the traffic situation operation method provided in any embodiment of the present application.
The traffic situation operation method, the device and the storage medium provided in the foregoing embodiments may execute the traffic situation operation method provided in any embodiment of the present application, and refer to the traffic situation operation method provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative only of the preferred embodiments of the invention and the principles of the technology employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (9)
1. The traffic operation situation assessment method is characterized by comprising the following steps:
dividing 24 hours a day into a plurality of continuous time periods, and acquiring data characteristics of each time period in a plurality of historical dates;
acquiring a traffic jam index corresponding to each time period in each historical date and a traffic jam index of the next adjacent time period;
training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, and
training a traffic operation situation prediction model according to the data characteristics and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristics;
acquiring real-time data characteristics, inputting the data characteristics into a traffic operation instant situation assessment model and a traffic operation situation prediction model, and respectively outputting an instant situation assessment result and an operation situation early warning result;
the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data;
obtaining an operation situation early warning result of any road, wherein the operation situation early warning result comprises a congestion prediction index;
comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, defining the road as abnormal congestion;
the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes.
2. The traffic operation situation assessment method according to claim 1, wherein collecting real-time data characteristics comprises:
receiving a situation request instruction input by a user;
acquiring the current position coordinate of a user, and selecting a circle with the position coordinate as an origin and a preset distance as a radius as a target area;
data characteristics of the target area are acquired.
3. The traffic operation situation assessment method according to claim 2, wherein weight ratios respectively corresponding to traffic feature data, passenger riding feature data, environment feature data and police feature data in the data features are set, and a weight feature value of the data feature is calculated according to each data feature and the corresponding weight ratio;
training a traffic operation instant situation assessment model according to the data characteristics and the traffic jam indexes of the time periods corresponding to the data characteristics, wherein the method comprises the following steps:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation instant situation evaluation model according to the sum of the weight characteristic values and the traffic congestion index of the time period corresponding to the data characteristic.
4. The method for evaluating the traffic operation situation according to claim 3, wherein training the traffic operation situation prediction model according to the data feature and the traffic congestion index of the next time slot adjacent to the time slot corresponding to the data feature comprises:
and calculating the sum of the weight characteristic values of each data characteristic in a time period, and training a traffic operation situation prediction model according to the sum of the weight characteristic values and the traffic jam index of the next time period adjacent to the time period corresponding to the data characteristic.
5. The method according to claim 4, wherein the traffic characteristic data includes a vehicle running speed on each road in an urban traffic network, each road in the urban traffic network is provided with an importance index, and the congestion index of each road is calculated according to the importance index and the vehicle running speed.
6. The traffic operation situation assessment system is characterized by comprising a data layer, a service layer and a client application layer, wherein the data layer comprises an acquisition equipment module, the acquisition equipment module is used for acquiring data characteristics, and is specifically used for dividing 24 hours a day into a plurality of continuous time periods, acquiring the data characteristics of each time period in a plurality of historical dates, acquiring the traffic congestion index corresponding to each time period in each historical date and the traffic congestion index of the next adjacent time period, wherein the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police force characteristic data, and the service layer is used for constructing a traffic operation instant situation assessment model and a traffic operation situation prediction model according to the historical data characteristics, inputting the data characteristics from the data layer into the traffic operation instant situation assessment model and the traffic operation situation prediction model and respectively outputting an instant situation assessment result and an operation situation early warning result; the client application layer is used for receiving a situation request instruction of a user and receiving an instant situation evaluation result and an operation situation early warning result, wherein the operation situation early warning result comprises a congestion prediction index; the system is also used for comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, the road is defined as abnormal congestion; the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes.
7. A traffic operation situation assessment apparatus, comprising:
a historical data acquisition module: the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for dividing 24 hours a day into a plurality of continuous time periods and acquiring data characteristics of each time period in a plurality of historical dates;
a congestion index acquisition module: the traffic congestion index acquisition module is used for acquiring the traffic congestion index corresponding to each time slot in each historical date and the traffic congestion index of the next adjacent time slot;
a model training module: for training a traffic operation instant situation assessment model according to the data characteristics and the traffic congestion index of the time period corresponding to the data characteristics, an
Training a traffic operation situation prediction model according to the data characteristics and the traffic congestion index of the next time period adjacent to the time period corresponding to the data characteristics;
the real-time data acquisition module: the system comprises a traffic operation instant situation assessment model, a traffic operation situation prediction model, a real-time data characteristic acquisition module, a traffic operation instant situation assessment module, a traffic operation situation prediction module and a traffic operation situation early warning module, wherein the traffic operation instant situation assessment model and the traffic operation situation early warning module are respectively used for acquiring real-time data characteristics and inputting the data characteristics into the traffic operation instant situation assessment model and the traffic operation situation prediction model;
the data characteristics comprise time node characteristic data, traffic characteristic data, passenger riding characteristic data, environment characteristic data and police characteristic data;
the traffic operation situation assessment device is also used for acquiring an operation situation early warning result of any road, wherein the operation situation early warning result comprises a congestion prediction index;
the congestion index is used for comparing whether the congestion index is consistent with the congestion prediction index or not, and when the congestion index is inconsistent with the congestion prediction index, the road is defined as abnormal congestion;
the police force feature data comprise police force indexes matched with the position coordinates, when a road is abnormally congested, the police force indexes matched with the road are obtained, and the dredging duration corresponding to the road is calculated according to the police force indexes and the congestion indexes.
8. A computer device, comprising: a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the traffic operation situation assessment method of any one of claims 1-5.
9. A storage medium containing computer-executable instructions for performing the traffic operation situation assessment method according to any one of claims 1-5 when executed by a computer processor.
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| CN113378458A (en) * | 2021-05-26 | 2021-09-10 | 广州华南路桥实业有限公司 | Congestion early warning method, device, medium and equipment based on big data |
| CN114333324A (en) * | 2022-01-06 | 2022-04-12 | 厦门市美亚柏科信息股份有限公司 | Real-time traffic state acquisition method and terminal |
| CN117292551B (en) * | 2023-11-27 | 2024-02-23 | 辽宁邮电规划设计院有限公司 | Urban traffic situation adjustment system and method based on Internet of things |
| CN117495204B (en) * | 2023-12-29 | 2024-04-16 | 济南市城市交通研究中心有限公司 | Urban bus running efficiency evaluation method and system based on data analysis |
| CN117558132B (en) * | 2024-01-11 | 2024-03-15 | 北京华创智芯科技有限公司 | Traffic management platform data processing method and system based on big data |
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