CN112863172B - Highway traffic running state judgment method, early warning method, device and terminal - Google Patents
Highway traffic running state judgment method, early warning method, device and terminal Download PDFInfo
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- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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Abstract
The invention discloses a method, a device and a terminal for judging traffic running states of highways, wherein the method comprises the following steps: acquiring ETC portal frame data in a highway interval to be monitored according to a preset sampling period; preprocessing the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, comparing the vehicle passing data with characteristic daily passing data prestored in a standard passing time system, and calculating to obtain the traffic jam percentage; whether traffic congestion occurs is determined based on the traffic congestion percentage. Therefore, by adopting the embodiment of the application, the traffic flow and the speed of the section on the expressway are calculated by utilizing the vehicle passing data recorded by the ETC portal on the expressway, the passing state of traffic is further calculated through the calculated traffic flow and speed, and the road section is managed according to the passing state, so that the traffic service capacity of the highway section is improved.
Description
Technical Field
The invention relates to the technical field of traffic big data, in particular to a method, a device and a terminal for judging a traffic running state of an expressway.
Background
With the continuous expansion of the urban scale and the continuous increase of the automobile holding capacity, the traffic pressure of various domestic large and medium-sized cities gradually increases along with the time. The improvement of traffic service level by solving the problem of high traffic pressure has become an important issue for improving the livelihood of each city. The cross section traffic volume, the average speed and the like are used as visual representations of actual running conditions in roads and are important references for traffic management, traffic planning, construction planning of traffic facilities and economic evaluation.
Most current traffic service level decisions come mainly from three approaches: the first method is that the traffic volume of a section is calculated according to manual investigation of a set traffic observation point in a specified time; secondly, traffic data detection equipment is arranged on the ground or underground, and section traffic data are obtained through the equipment; the third is to view traffic volume of a section based on map data provided by a third party. The three methods have the following defects at present: the first method of obtaining traffic volume by manual counting at traffic observation points costs much labor, material, and financial resources, and is complicated in implementation and data arrangement. The second method for obtaining traffic information by using traffic detection equipment has high equipment cost, can only reflect the traffic information of a specified point, and cannot reflect the traffic information condition on each cross section of the whole line of a road section. The third kind of traffic data information obtained based on the third party map service provider is greatly restricted by the third party and has certain limitation. Therefore, the current three methods cannot reflect the traffic running state efficiently or comprehensively.
Disclosure of Invention
The embodiment of the application provides a method and a device for judging a traffic running state of a highway and a storage medium. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, an embodiment of the present application provides a method for determining a traffic running state of a highway, where the method includes:
the method comprises the steps that ETC portal data in a highway interval to be monitored are obtained according to a preset sampling period, wherein the ETC portal data comprise vehicle IDs, ETC portal IDs and passing time, and the ETC portals in the highway interval to be monitored at least comprise two adjacent ETC portals;
preprocessing ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, wherein the vehicle passing data comprise the average speed and the average traffic flow of a vehicle;
comparing the vehicle traffic data with characteristic daily traffic data prestored in a standard traffic time system, and calculating to obtain the traffic jam percentage, wherein the characteristic daily traffic data comprises characteristic daily average speed and characteristic daily average traffic flow;
whether traffic congestion occurs is determined based on the traffic congestion percentage.
Optionally, determining whether a traffic jam occurs based on the traffic jam percentage includes:
determining the ratio of the average speed of the vehicle to the characteristic daily average speed as a first traffic jam percentage; and (c) a second step of,
determining the ratio of the average traffic flow of the vehicles to the characteristic daily average traffic flow as a second traffic jam percentage;
and when the first traffic jam percentage is smaller than a first preset threshold value or when the second traffic jam percentage is larger than a second preset threshold value, judging that traffic jam occurs and carrying out jam early warning.
Optionally, the characteristic daily traffic data further includes vehicle types, and the characteristic daily average speed and the characteristic daily average traffic flow are respectively calculated according to the vehicle types;
the characteristic daily average speed calculation formula is as follows: characteristic daily average speed = (n × V0+ V)/(n + 1), where V0 represents a historical average traffic speed corresponding to a sampling period to be determined, n represents a weight value that needs smoothing, V represents an average speed of vehicles of the same period of the previous day corresponding to the sampling period to be determined, and n is a constant 360; and the number of the first and second groups,
the characteristic daily average traffic flow calculation formula is as follows: characteristic daily average traffic flow = (n x C0+ C)/(n + 1), where C0 denotes a historical average traffic flow corresponding to a sampling period to be determined, n denotes a weight that needs smoothing, and C denotes an average traffic flow of the same period of the previous day corresponding to the sampling period to be determined.
Optionally, carry out the preliminary treatment to ETC portal data, obtain the vehicle data of passing between per two adjacent ETC portals and include:
acquiring ETC portal topology in a highway interval according to ETC portal IDs in ETC portal data, wherein the ETC portal topology comprises the front and back sequence of each ETC portal, the adjacent relation and the distance between every two adjacent portals;
acquiring the average passing speed of the vehicle between the adjacent ETC door frames and the average traffic flow between the adjacent door frames according to the time difference of the passing time of each vehicle between the adjacent ETC door frames and the distance between the adjacent ETC door frames;
and storing the average passing speed and the average traffic flow corresponding to the adjacent ETC portals to a standard passing time system.
Optionally, the time difference of the passing time of the vehicle passing through the adjacent ETC portal is T, the preset sampling period is T, and T is larger than or equal to T;
preferably, T is 5min.
Optionally, before obtaining ETC portal data in the current highway interval according to predetermineeing the sampling period, still include:
acquiring vehicle traffic data in a current expressway interval from each ETC portal host;
and carrying out data desensitization on the vehicle passing data to obtain ETC portal data.
In a second aspect, an embodiment of the present application provides a method for performing traffic early warning between adjacent ETC gantries on a highway, where the method includes:
acquiring ith ETC portal data and (i + 1) th ETC portal data in adjacent ETC portals from the ETC portal data, wherein i is an ETC portal sequence number, and the vehicle sequentially passes through the ith and (i + 1) th portals;
acquiring the percentage of vehicles which pass through the ith ETC portal but do not pass through the (i + 1) th ETC portal within a set time;
when the percentage of the vehicles is more than or equal to 50%, judging that traffic jam occurs and carrying out jam early warning; wherein, the specified time calculation formula is as follows: (Di/V0) k, k is a constant, dn is the distance between adjacent gantries, di is the distance between the ith and the (i + 1) th ETC gantries, and V0 is characteristic daily average speed data.
Optionally, k is 1.1. Ltoreq. K.ltoreq.1.3, preferably k is 1.2.
In a third aspect, an embodiment of the present application provides an apparatus for determining a traffic running state of a highway, the apparatus including:
the data acquisition module is used for acquiring ETC portal data of vehicles on a high-speed road section in the same period of the day before the current sampling period; the ETC portal data at least comprise average traffic speed and average traffic flow in the same period in the previous day;
the data calculation module is used for calculating the characteristic daily average speed and the characteristic daily average traffic flow of the sampling period according to the average traffic speed and the average traffic flow of the same period in the previous day;
the percentage calculation module is used for calculating the traffic jam percentage according to the characteristic daily average speed and the characteristic daily average traffic flow;
and the traffic state judging module is used for judging whether the traffic jam occurs or not based on the traffic jam percentage.
In a fifth aspect, an embodiment of the present application provides a terminal, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the embodiment of the application, the traffic operation state judgment device of the expressway firstly acquires ETC portal data in an interval of the expressway to be monitored according to a preset sampling period, then preprocesses the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, compares the vehicle passing data with characteristic daily passing data prestored in a standard passing time system, calculates to obtain a traffic jam percentage, and finally judges whether traffic jam occurs or not based on the traffic jam percentage. Therefore, according to the embodiment of the application, the traffic flow and the speed of the section on the expressway are calculated by utilizing the vehicle traffic data recorded by the ETC portal on the expressway, the traffic state is further calculated through the calculated traffic flow and speed, and the road section is managed according to the traffic state, so that the traffic service capacity of the expressway section is 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 the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic flow chart of a method for determining a traffic running state of an expressway according to an embodiment of the present application;
fig. 2 is an exemplary diagram of a distance D1 between adjacent gantries on a highway according to an embodiment of the present disclosure;
FIG. 3 is a graph of highway service level provided by an embodiment of the present application;
fig. 4 is a schematic process block diagram of a traffic operation state determination process of an expressway according to an embodiment of the present application;
fig. 5 is a schematic flow chart of a method for performing traffic early warning on a high-speed road section between adjacent portals according to the embodiment of the present application;
fig. 6 is a schematic device diagram of a traffic operation state determination device for an expressway according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In the description of the present invention, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
According to the technical scheme, the traffic flow and the speed of the interval on the expressway are calculated by utilizing the vehicle traffic data recorded by the ETC portal on the expressway, the traffic state of the traffic is further calculated through the calculated traffic flow and speed, and the road section is managed according to the traffic state, so that the traffic service capacity of the expressway road section is improved, and the detailed description is given by adopting an exemplary embodiment.
The following describes in detail a method for determining a traffic operation state of a highway according to an embodiment of the present application with reference to fig. 1 to 4. The method may be implemented by means of a computer program, and may be executed on a traffic operation state determination device for a highway based on the von neumann system. The computer program may be integrated into the application or may run as a separate tool-like application. The traffic operation state determination device for the highway in the embodiment of the present application may be a user terminal, including but not limited to: personal computers, tablet computers, handheld devices, in-vehicle devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and the like. The user terminals may be called different names in different networks, for example: user equipment, access terminal, subscriber unit, subscriber station, mobile station, remote terminal, mobile device, user terminal, wireless communication device, user agent or user equipment, cellular telephone, cordless telephone, personal Digital Assistant (PDA), terminal equipment in a 5G network or future evolution network, and the like.
Referring to fig. 1, a schematic flow chart of a method for determining a traffic operation state of an expressway is provided according to an embodiment of the present application. As shown in fig. 1, the method of the embodiment of the present application may include the steps of:
s101, obtaining ETC portal data in a highway interval to be monitored according to a preset sampling period, wherein the ETC portal data comprise a vehicle ID, an ETC portal ID and passing time, and the ETC portal in the highway interval to be monitored at least comprises two adjacent ETC portals;
the ETC portal data is various forms of data associated with ETC portals on highways, among others. The ETC portal data are acquired according to a preset sampling period. The time difference of the vehicle passing through the adjacent ETC gantries is T, the preset sampling period is T which is not less than T, and the sampling period is greater than the time difference (time period) of the vehicle passing through the adjacent ETC gantries so as to ensure that the vehicle passes through a highway section between at least one adjacent ETC gantries in the same sampling period;
in one possible embodiment, the sampling period T is set to 5min, considering that in an actual high-speed traffic scenario, the time period T for a vehicle to pass through an adjacent ETC portal is generally about 3 min.
In general, in addition to storing the average traffic speed and the average traffic flow of vehicles in a standard transit time system, the stored information includes, but is not limited to, information such as section number information representing portal information, feature day identification information, time period information within a feature day, vehicle type information, average transit speed of a vehicle of the type, and average traffic flow of a vehicle of the type, for example, as shown in table 1.
TABLE 1
In the embodiment of the application, when the user terminal processes data and stores the data in a standard transit time system, firstly, a highway section to be monitored and a current monitoring time period are determined, a database query language is generated by taking historical starting time and current time in the time period as parameters, the user terminal executes the query language to acquire the transit data of vehicles passing through the highway section to be monitored in the time period from a data management system, the vehicle transit data at least comprise an ETC portal frame set on the monitored highway section, the distance between adjacent portal frames in the ETC portal frame set and the time when each vehicle passes through each portal frame in the ETC portal frame set, and then the average transit speed of each vehicle between the adjacent ETC portal frames on the monitored highway section is calculated according to the acquired transit data.
When the average passing speed is calculated, firstly, the sequence of the gantries in the ETC gantry set on the highway section is determined, the distance between the adjacent gantries in the ETC gantry set is calculated based on the sequence, and then the average passing speed of each vehicle passing through the adjacent gantries is calculated according to the time when each vehicle passes through each gantry and the distance between the adjacent gantries, such as the gantry 1 and the gantry 2 shown in FIG. 2.
For example, the passing time (T1) of each vehicle on two adjacent portals is T1= T2-T1, wherein T1 is the time when the vehicle passes through the ith portal, T2 is the time when the vehicle passes through the (i + 1) th portal, the (i + 1) th portal is positioned at the downstream of the ith portal in the passing direction of the vehicle, and the average passing speed V = D1/T1.
And after the average passing speed is calculated, counting the hourly average traffic flow between the adjacent ETC gantries according to a preset period, then storing the average passing speed and the hourly average traffic flow corresponding to the adjacent ETC gantries to a standard passing time system, finally storing the average passing speed and the average traffic flow corresponding to the adjacent ETC gantries to the standard passing time system, and continuously executing the step of determining the monitoring highway section and the current monitoring time period for data processing.
It should be noted that, in the standard transit time system, as time goes by, when calculating the traffic flow or speed data, the proportion of the traffic flow or speed data between the gate frames that are farthest from the current time is smaller.
Further, before the ETC portal data in the current expressway interval are acquired according to the preset sampling period, vehicle passing data in the current expressway interval are acquired from each ETC portal host, and then data desensitization is carried out on the vehicle passing data to obtain the ETC portal data.
Further, when the ETC portal host collects data, firstly, the DSRC (dedicated short range communication technology) communication between an RSU (road side unit) antenna of the expressway portal and an on-board OBU (on-board unit) is performed, and the RSU acquires user card information by using the OBU to acquire related information such as a vehicle ID, a travel path and the like. Specifically, the data management system reads the traffic information of the vehicles from the ETC portal host, including the license plate number of each vehicle, the time of passing the ETC portal and the traffic speed, and stores the data after desensitization, wherein the stored data at least comprises the data in the table 2.
TABLE 2
It should be noted that, in general, only the traffic volume and the passage time information recorded by the portal in the last year are stored in the database of the data management system.
In a possible implementation manner, after data on a monitored highway section is processed and stored in a standard transit time system database, when a user needs to calculate a traffic service level on the monitored highway section in a certain period, an average transit speed and an average traffic flow of a vehicle in the period need to be obtained from the standard transit time system database.
Further, after the average traffic speed and the average traffic flow of the vehicles on the monitored highway section within the sampling period are obtained, the ratio of the average traffic speed to the average traffic flow may be determined as the vehicle carrying capacity of the monitored highway section, that is, the service level of the monitored highway section, for example, as shown in fig. 3.
S102, preprocessing ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, wherein the vehicle passing data comprise the average speed and the average traffic flow of a vehicle;
in the embodiment of the application, during preprocessing, firstly, according to the ETC portal ID in the ETC portal data, the topology of the ETC portal between expressway sections is obtained, including the front and back sequence of each ETC portal, the adjacent relation and the distance between each adjacent portal, then according to the time difference of the passing time of each vehicle between the adjacent ETC portals and the distance between the adjacent ETC portals, the average passing speed of the vehicle between the adjacent ETC portals and the average traffic flow between the adjacent portals are obtained, and finally, the average passing speed and the average traffic flow corresponding to the adjacent ETC portals are stored to the standard passing time system.
S103, comparing the vehicle traffic data with characteristic daily traffic data prestored in a standard traffic time system, and calculating to obtain the traffic jam percentage, wherein the characteristic daily traffic data comprises characteristic daily average speed and characteristic daily average traffic flow;
usually, the characteristic daily traffic data further includes vehicle types, and the characteristic daily average speed and the characteristic daily average traffic flow are respectively calculated according to the vehicle types;
the characteristic daily average speed calculation formula is as follows: characteristic daily average speed = (n × V0+ V)/(n + 1), where V0 represents a historical average traffic speed corresponding to a sampling period to be determined, n represents a weight value that needs smoothing, V represents an average speed of vehicles of the same period of the previous day corresponding to the sampling period to be determined, and n is a constant 360; and the number of the first and second groups,
the characteristic daily average traffic flow calculation formula is as follows: characteristic daily average traffic flow = (n × C0+ C)/(n + 1), where C0 denotes a historical average traffic flow corresponding to a sampling period to be determined, n denotes a weight that needs smoothing, and C denotes an average traffic flow of the same period of the previous day corresponding to the sampling period to be determined.
In a possible implementation mode, when the percentage is calculated again, firstly, the average speed and the average traffic flow of the current sampling period are obtained, and then the ratio of the average speed of the current sampling period to the characteristic daily average speed is determined as a first traffic jam percentage; and determining the ratio of the average traffic flow of the current sampling period to the characteristic daily average traffic flow as a second traffic jam percentage.
And S104, judging whether the traffic jam occurs or not based on the traffic jam percentage.
In the embodiment of the application, when the first traffic jam percentage is smaller than a first preset threshold value or when the second traffic jam percentage is larger than a second preset threshold value, the occurrence of traffic jam is judged and jam early warning is carried out; wherein the second preset threshold is greater than the first preset threshold.
For example, if the flow data and the average speed data in the current monitoring period are V2 and C2, respectively, the characteristic daily flow data and the characteristic daily average speed data in the current monitoring period are V0 and C0; when V2/V0 is less than 80%, the system performs traffic jam prompting or C2/C0 is greater than 120%, the system performs traffic jam prompting.
In one possible embodiment, 1.1. Ltoreq. K.ltoreq.1.3, preferably k is 1.2.
For example, as shown in fig. 4, fig. 4 is a logic diagram for judging a traffic passing state provided by the present application, and the logic diagram is obtained by first performing data acquisition, acquiring vehicle passing time of each vehicle between two adjacent gantries according to the topology of the gantries, storing the acquired related information in a data management system, then preprocessing the acquired data, cleaning the acquired data in and out, calculating passing speed of each vehicle between the adjacent gantries, converting the speed into a traffic speed and a traffic flow, and finally comparing the average speed and the traffic flow of the vehicles of the adjacent gantries in a preset period with the average speed and the traffic flow of a corresponding time period of a characteristic day, and judging whether an abnormality exists.
In the embodiment of the application, the traffic operation state judgment device of the expressway firstly acquires ETC portal data in an interval of the expressway to be monitored according to a preset sampling period, then preprocesses the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, compares the vehicle passing data with characteristic daily passing data prestored in a standard passing time system, calculates to obtain a traffic jam percentage, and finally judges whether traffic jam occurs or not based on the traffic jam percentage. Therefore, by adopting the embodiment of the application, the traffic flow and the speed of the section on the expressway are calculated by utilizing the vehicle passing data recorded by the ETC portal on the expressway, the passing state of traffic is further calculated through the calculated traffic flow and speed, and the road section is managed according to the passing state, so that the traffic service capacity of the highway section is improved.
Referring to fig. 5, a schematic flow chart of a method for performing traffic warning on a highway section between adjacent portals is provided in the embodiment of the present application. As shown in fig. 5, the method of the embodiment of the present application may include the following steps:
s201, obtaining ith ETC portal data and (i + 1) th ETC portal data in adjacent ETC portals from ETC portal data, wherein i is an ETC portal sequence number, a vehicle sequentially passes through the ith and (i + 1) th portals, and the ETC portal data of the embodiment to be described is the ETC portal data obtained according to the preset period in the embodiment;
s202, acquiring the percentage of the vehicle passing through the ith ETC portal but not passing through the (i + 1) th ETC portal within a set time, wherein the set time is k times of the time of the vehicle passing through the adjacent ETC portal according to the characteristic daily average speed, and k is 1.1-1.3, preferably 1.2;
s203, when the percentage of the vehicles is more than or equal to 50%, judging that traffic jam occurs and carrying out jam early warning; wherein, the specified time calculation formula is as follows: (Di/V0) k, k is 1.1-1.3, preferably 1.2, dn is the distance between adjacent gantries, di is the distance between the adjacent ith and (i + 1) th ETC gantries, V0 is the characteristic daily average speed data.
For example, V, C and V0, C0 are used to perform traffic jam warning, and after a certain proportion of vehicles (generally not less than 50%) pass through the first portal, no second portal is passed after (D1/V0) × 1.2, so that traffic jam warning is performed.
Specifically, in a preferred embodiment, the vehicle data information recorded by two adjacent gantries is transmitted to the road network management system in real time, the road network management system monitors vehicles passing through the ith gantry in a preset period, if the time of (D1/V0) × 1.2 passes, the information of the vehicles cannot be acquired by the (i + 1) th gantry, and when the vehicles with the condition pass through 1/2 of the number of the ith gantry in the preset period, a traffic jam warning is sent. By adopting the technical scheme, the traffic flow data between certain adjacent doorframes of the expressway can be quickly early warned according to the portal traffic flow data on the basis of not needing floating car GPS data, and the influence of extreme weather, tunnel and other topographic factors and third-party map suppliers is avoided.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Fig. 6 is a schematic structural diagram of a traffic operation state determination device for an expressway according to an exemplary embodiment of the present invention. The traffic operation state determination device for the expressway may be implemented as all or a part of the terminal by software, hardware, or a combination of both. The device 1 comprises a data acquisition module 10, a data preprocessing module 20, a percentage calculation module 30 and a traffic state judgment module 40.
The data acquisition module 10 is used for acquiring ETC portal data in a highway interval to be monitored according to a preset sampling period, wherein the ETC portal data comprise a vehicle ID, an ETC portal ID and passing time, and the ETC portal in the highway interval to be monitored at least comprises two adjacent ETC portals;
the data preprocessing module 20 is used for preprocessing the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, wherein the vehicle passing data comprise the average speed and the average traffic flow of a vehicle;
the percentage calculation module 30 is configured to compare the vehicle traffic data with feature daily traffic data prestored in a standard traffic time system, and calculate a traffic congestion percentage, where the feature daily traffic data includes a feature daily average speed and a feature daily average traffic flow;
and a traffic state determination module 40 for determining whether traffic congestion occurs based on the traffic congestion percentage.
It should be noted that, when the traffic operation state determination device for an expressway provided by the above embodiment executes the traffic operation state determination method for an expressway, the division of each function module is merely exemplified, and in practical applications, the function distribution may be completed by different function modules according to needs, that is, the internal structure of the device may be divided into different function modules to complete all or part of the functions described above. In addition, the traffic running state determination device for the expressway and the traffic running state determination method embodiment for the expressway provided by the above embodiments belong to the same concept, and details of implementation processes thereof are shown in the method embodiment, and are not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the embodiment of the application, the traffic running state judgment device of the expressway firstly acquires ETC portal data in an interval of the expressway to be monitored according to a preset sampling period, then preprocesses the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, then compares the vehicle passing data with characteristic daily passing data prestored in a standard passing time system, calculates to obtain traffic jam percentage, and finally judges whether traffic jam occurs or not based on the traffic jam percentage. Therefore, by adopting the embodiment of the application, the traffic flow and the speed of the section on the expressway are calculated by utilizing the vehicle passing data recorded by the ETC portal on the expressway, the passing state of traffic is further calculated through the calculated traffic flow and speed, and the road section is managed according to the passing state, so that the traffic service capacity of the highway section is improved.
The present invention also provides a computer-readable medium, on which program instructions are stored, which when executed by a processor implement the method for determining a traffic operation state of a highway provided by the above-mentioned method embodiments.
The present invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to carry out the method for determining a traffic running state of a highway according to the various method embodiments described above.
Please refer to fig. 7, which provides a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in fig. 7, terminal 1000 can include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 7, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a traffic operation state determination application program for a highway.
In the terminal 1000 shown in fig. 7, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; and the processor 1001 may be configured to call the application program for determining the traffic operation state of the highway stored in the memory 1005, and specifically perform the following operations:
the method comprises the steps that ETC portal data in a highway interval to be monitored are obtained according to a preset sampling period, wherein the ETC portal data comprise vehicle IDs, ETC portal IDs and passing time, and the ETC portals in the highway interval to be monitored at least comprise two adjacent ETC portals;
preprocessing ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, wherein the vehicle passing data comprise the average speed and the average traffic flow of a vehicle;
comparing the vehicle traffic data with characteristic daily traffic data prestored in a standard traffic time system, and calculating to obtain the traffic jam percentage, wherein the characteristic daily traffic data comprises characteristic daily average speed and characteristic daily average traffic flow;
whether traffic congestion occurs is determined based on the traffic congestion percentage.
In one embodiment, the processor 1001, when performing the determination of whether traffic congestion occurs based on the traffic congestion percentage, specifically performs the following operations:
determining the ratio of the average speed of the vehicle to the characteristic daily average speed as a first traffic jam percentage; and the number of the first and second groups,
determining the ratio of the average traffic flow of the vehicles to the characteristic daily average traffic flow as a second traffic jam percentage;
and when the first traffic jam percentage is smaller than a first preset threshold value or when the second traffic jam percentage is larger than a second preset threshold value, judging that traffic jam occurs and carrying out jam early warning.
In one embodiment, the processor 1001 specifically performs the following operations when performing the preprocessing of the ETC portal data to obtain the vehicle passing data between every two adjacent ETC portals:
acquiring ETC portal topology in a highway interval according to ETC portal IDs in ETC portal data, wherein the ETC portal topology comprises the front and back sequence, the adjacent relation and the distance between every two adjacent portals of each ETC portal;
acquiring the average passing speed of the vehicle between the adjacent ETC door frames and the average traffic flow between the adjacent door frames according to the time difference of the passing time of each vehicle between the adjacent ETC door frames and the distance between the adjacent ETC door frames;
and storing the average passing speed and the average traffic flow corresponding to the adjacent ETC portals to a standard passing time system.
In one embodiment, before performing the step of acquiring the ETC portal data in the current highway section according to the preset sampling period, the processor 1001 specifically performs the following operations:
acquiring vehicle traffic data in a current expressway interval from each ETC portal host;
and carrying out data desensitization on the vehicle passing data to obtain ETC portal data.
In the embodiment of the application, the traffic running state judgment device of the expressway firstly acquires ETC portal data in an interval of the expressway to be monitored according to a preset sampling period, then preprocesses the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, then compares the vehicle passing data with characteristic daily passing data prestored in a standard passing time system, calculates to obtain traffic jam percentage, and finally judges whether traffic jam occurs or not based on the traffic jam percentage. Therefore, according to the embodiment of the application, the traffic flow and the speed of the section on the expressway are calculated by utilizing the vehicle traffic data recorded by the ETC portal on the expressway, the traffic state is further calculated through the calculated traffic flow and speed, and the road section is managed according to the traffic state, so that the traffic service capacity of the expressway section is improved.
It will be understood by those skilled in the art that all or part of the processes in the methods of the embodiments described above may be implemented by instructing the relevant hardware through a computer program, and the program may be stored in a computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (11)
1. A method for determining a traffic running state of an expressway, comprising:
the method comprises the steps that ETC portal data in a highway interval to be monitored are obtained according to a preset sampling period, wherein the ETC portal data comprise a vehicle ID, an ETC portal ID and passing time, and the ETC portal in the highway interval to be monitored at least comprises two adjacent ETC portals; wherein,
the preset sampling period is greater than the time difference of the vehicle passing through the adjacent ETC portal frames;
preprocessing the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, wherein the vehicle passing data comprise the average speed and the average traffic flow of a vehicle;
comparing the vehicle traffic data with characteristic daily traffic data prestored in a standard traffic time system, and calculating to obtain the traffic jam percentage, wherein the characteristic daily traffic data comprises characteristic daily average speed and characteristic daily average traffic flow;
determining whether traffic congestion occurs based on the traffic congestion percentage; wherein,
the characteristic daily traffic data further comprises vehicle types, and the characteristic daily average speed and the characteristic daily average traffic flow are respectively calculated according to the vehicle types; wherein,
the characteristic daily average speed calculation formula is as follows: characteristic daily average speed = (n × V0+ V)/(n + 1), where V0 represents a historical average traffic speed corresponding to a sampling period to be determined, n represents a weight value that needs smoothing, V represents an average speed of vehicles of the same period of the previous day corresponding to the sampling period to be determined, and n is a constant 360; and the number of the first and second groups,
the characteristic daily average traffic flow calculation formula is as follows: characteristic daily average traffic flow = (n × C0+ C)/(n + 1), where C0 denotes a historical average traffic flow corresponding to a sampling period to be determined, n denotes a weight that needs smoothing, and C denotes an average traffic flow of the same period of the previous day corresponding to the sampling period to be determined.
2. The method of claim 1, wherein said determining whether traffic congestion is occurring based on said traffic congestion percentage comprises:
determining a ratio of the average speed of the vehicle to the characteristic daily average speed as a first traffic congestion percentage; and the number of the first and second groups,
determining the ratio of the average traffic flow of the vehicles to the characteristic daily average traffic flow as a second traffic jam percentage;
and when the first traffic jam percentage is smaller than a first preset threshold value or when the second traffic jam percentage is larger than a second preset threshold value, judging that traffic jam occurs and carrying out early warning on the jam.
3. The method according to claim 1, wherein said preprocessing said ETC portal data to obtain vehicle transit data between each two adjacent ETC portals comprises:
acquiring ETC portal topology of the expressway interval according to ETC portal IDs (identities) in the ETC portal data, wherein the ETC portal topology comprises the front and back sequence, the adjacent relation and the distance between every two adjacent portals of each ETC portal;
acquiring the average passing speed of the vehicles between the adjacent ETC gantries and the average traffic flow between the adjacent gantries according to the time difference of the passing time of each vehicle between the adjacent ETC gantries and the distance between the adjacent ETC gantries;
and storing the average passing speed and the average traffic flow corresponding to the adjacent ETC portals to the standard passing time system.
4. The method according to claim 1, wherein the time difference between the transit times of the vehicles through the adjacent ETC gantries is T, the preset sampling period is T, and T is greater than or equal to T.
5. The method of claim 4, wherein T is 5min.
6. The method according to claim 1, wherein before the obtaining the ETC portal data in the current highway interval according to the preset sampling period, the method further comprises:
acquiring vehicle traffic data in a current expressway interval from each ETC portal host;
and carrying out data desensitization on the vehicle passing data to obtain the ETC portal data.
7. A method for traffic early warning between adjacent ETC portals on a highway by using the method according to any one of claims 1 to 6,
acquiring ith ETC portal data and (i + 1) th ETC portal data in adjacent ETC portals from the ETC portal data, wherein i is an ETC portal sequence number, and the vehicle sequentially passes through the ith and (i + 1) th portals;
acquiring the percentage of vehicles which pass through the ith ETC portal frame but do not pass through the (i + 1) th ETC portal frame within the set time;
when the percentage of the vehicles is more than or equal to 50%, judging that traffic jam occurs and carrying out jam early warning; wherein, the prescribed time calculation formula is: (Di/V0) × k, k is a constant, dn is the distance between adjacent gantries, di is the distance between the ith and the (i + 1) th ETC gantries which are adjacent, and V0 is characteristic daily average speed data.
8. The warning method of claim 7,
1.1≤k≤1.3。
9. the method of claim 8, wherein k is 1.2.
10. An apparatus for determining an operation state of highway traffic, the apparatus comprising:
the system comprises a data acquisition module, a data processing module and a monitoring module, wherein the data acquisition module is used for acquiring ETC portal data in a to-be-monitored expressway interval according to a preset sampling period, the ETC portal data comprises a vehicle ID, an ETC portal ID and passing time, and the ETC portal in the to-be-monitored expressway interval at least comprises two adjacent ETC portals; wherein,
the preset sampling period is greater than the time difference of the vehicle passing through the adjacent ETC portal frames;
the data preprocessing module is used for preprocessing the ETC portal data to obtain vehicle passing data between every two adjacent ETC portals, and the vehicle passing data comprise the average speed and the average traffic flow of the vehicle;
the percentage calculation module is used for comparing the vehicle traffic data with characteristic daily traffic data prestored in a standard traffic time system and calculating to obtain the traffic jam percentage, wherein the characteristic daily traffic data comprises characteristic daily average speed and characteristic daily average traffic flow;
a traffic state determination module for determining whether traffic congestion occurs based on the traffic congestion percentage; wherein,
the characteristic daily traffic data further comprises vehicle types, and the characteristic daily average speed and the characteristic daily average traffic flow are respectively calculated according to the vehicle types; wherein,
the characteristic daily average speed calculation formula is as follows: characteristic daily average speed = (n × V0+ V)/(n + 1), where V0 represents a historical average traffic speed corresponding to a sampling period to be determined, n represents a weight value that needs smoothing, V represents an average speed of vehicles of the same period of the previous day corresponding to the sampling period to be determined, and n is a constant 360; and (c) a second step of,
the characteristic daily average traffic flow calculation formula is as follows: characteristic daily average traffic flow = (n x C0+ C)/(n + 1), where C0 denotes a historical average traffic flow corresponding to a sampling period to be determined, n denotes a weight that needs smoothing, and C denotes an average traffic flow of the same period of the previous day corresponding to the sampling period to be determined.
11. A terminal, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1-9.
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Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113362602A (en) * | 2021-06-29 | 2021-09-07 | 山东旗帜信息有限公司 | Congestion analysis method and equipment based on portal traffic data |
| CN113990081B (en) * | 2021-09-26 | 2022-07-12 | 河北京石高速公路开发有限公司 | Interval speed measurement system of highway ETC portal |
| CN114005276B (en) * | 2021-10-25 | 2023-03-03 | 浙江综合交通大数据开发有限公司 | Expressway congestion early warning method based on multi-data source fusion |
| CN114419907B (en) * | 2021-12-29 | 2023-10-27 | 联通智网科技股份有限公司 | Method, device, terminal equipment and medium for judging accident multiple road sections |
| CN114565982B (en) * | 2022-02-28 | 2024-08-16 | 福建省高速公路信息科技有限公司 | ETC-based vehicle state monitoring method |
| CN114783194B (en) * | 2022-04-02 | 2024-07-19 | 贵州汇联通电子商务服务有限公司 | Method and system for obtaining section flow based on high-speed portal frame |
| CN114964446B (en) * | 2022-04-22 | 2024-03-12 | 中交公规土木大数据信息技术（北京）有限公司 | Highway bridge dynamic traffic load monitoring and early warning method, device, equipment and medium |
| CN114613145B (en) * | 2022-05-12 | 2022-08-19 | 中运科技股份有限公司 | Passenger traffic flow perception early warning system and method under big data |
| CN117877274B (en) * | 2024-03-13 | 2024-05-14 | 四川智慧高速科技有限公司 | ETC-based provincial expressway network traffic induction method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015003481A1 (en) * | 2013-07-12 | 2015-01-15 | 深圳市赛格导航科技股份有限公司 | Road congestion pre-warning method and device |
| CN106971537A (en) * | 2017-04-20 | 2017-07-21 | 山东高速信息工程有限公司 | For the congestion in road Forecasting Methodology and system of accident |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103473609B (en) * | 2013-09-04 | 2016-09-07 | 银江股份有限公司 | The acquisition methods of OD real-time running time between a kind of adjacent bayonet socket |
| CN103886756B (en) * | 2014-04-17 | 2015-12-30 | 交通运输部公路科学研究所 | Based on the freeway network method for detecting operation state of OBU |
| JP6819483B2 (en) * | 2017-06-26 | 2021-01-27 | トヨタ自動車株式会社 | Vehicle control device |
| CN107798876B (en) * | 2017-11-07 | 2021-09-21 | 上海炬宏信息技术有限公司 | Road traffic abnormal jam judging method based on event |
| CN108510738A (en) * | 2018-04-27 | 2018-09-07 | 魏祎轩 | A kind of expressway exit road condition advisory board |
| CN109615864A (en) * | 2018-12-29 | 2019-04-12 | 深圳英飞拓科技股份有限公司 | Vehicle congestion analysis method, system, terminal and storage medium based on video structural |
| CN110969857B (en) * | 2019-12-27 | 2021-11-19 | 华为技术有限公司 | Traffic information processing method and device |
| CN111508094B (en) * | 2020-06-30 | 2020-09-22 | 之江实验室 | Highway congestion finding method based on ETC portal frame and gate traffic data |
-
2020
- 2020-12-29 CN CN202011607222.1A patent/CN112863172B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015003481A1 (en) * | 2013-07-12 | 2015-01-15 | 深圳市赛格导航科技股份有限公司 | Road congestion pre-warning method and device |
| CN106971537A (en) * | 2017-04-20 | 2017-07-21 | 山东高速信息工程有限公司 | For the congestion in road Forecasting Methodology and system of accident |
Non-Patent Citations (2)
| Title |
|---|
| 多维空间BP神经网络的节假日高速公路网节点拥堵预测分析;王征;《公路》;20160425(第04期);正文全文 * |
| 重大节假日公路免通行费对出行意愿影响因素研究;黄纯辉等;《交通运输系统工程与信息》;20131215(第06期);正文全文 * |
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