A method, device, electronic device and storage medium for early warning of toll booths

Abstract

The present invention provides a method for early warning of toll stations, which includes: obtaining a pre-constructed toll station portrait, the toll station portrait includes a plaza side portrait and a lane side portrait of the toll station; performing correlation analysis on each indicator of the toll station portrait, and establishing a correlation relationship between the toll station delay duration and the upstream flow and the toll lane capacity; obtaining upstream flow monitoring data, and performing flow control on the toll station based on the upstream flow monitoring data and the correlation relationship. In this way, a portrait of the toll station is established from two dimensions, the plaza level and the lane level, so that a more detailed description of the operating status of the toll station can be made, and correlation analysis can be performed using the portrait indicators, and then a more accurate operating status of the toll station can be determined based on the monitored upstream flow data, so as to more accurately control the toll station and improve the utilization efficiency of the toll lane while ensuring the normal operation of the toll station.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a method, device, electronic device and storage medium for early warning of a toll station. Background Art

[0002] With the increase in public travel and the development of e-commerce, road transportation plays an increasingly important role in my country's economic and social development. In recent years, my country's transportation informatization has made great progress. In recent years, the country has actively promoted the removal of provincial boundary stations and the popularization and gradual replacement of ETC networked toll collection, video and other monitoring equipment on highways, providing a nearly full-flow calculation basis for the operation monitoring of toll stations.

[0003] For toll stations, there are often multiple toll lanes in a toll station square. The traffic volume passing through the toll station square is not consistent at different times, and the difference is particularly obvious during the day and at night. If all lanes are working at the same time, it will inevitably lead to a waste of resources when the traffic volume is low; if some lanes are closed and only a few lanes are kept working, congestion may occur when the traffic volume is high.

[0004] Therefore, it is difficult to achieve timely warning of traffic conditions at toll stations. Summary of the invention

[0005] The problem solved by the present invention is that it is difficult to realize timely warning of traffic conditions at toll stations while ensuring normal operation of the toll stations.

[0006] In order to solve the above problems, the first aspect of the present invention provides a method for early warning of a toll station based on toll data, which comprises:

[0007] Obtain a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index;

[0008] Conduct correlation analysis on various indicators of the toll station portrait to establish the correlation between the delay time of the toll station and the upstream traffic flow and the capacity of the toll lane;

[0009] The upstream flow monitoring data is obtained, and the flow control of the toll station is performed based on the upstream flow monitoring data and the association relationship.

[0010] The second aspect of the present application provides a device for early warning of a toll station based on toll data, comprising:

[0011] A portrait acquisition unit, which is used to acquire a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index;

[0012] A correlation establishing unit, which is used to perform correlation analysis on various indicators of the toll station portrait, and establish a correlation between the delay time of the toll station and the upstream flow and the traffic capacity of the toll lane;

[0013] A flow control unit is used to obtain upstream flow monitoring data and perform flow control on the toll station based on the upstream flow monitoring data and the association relationship.

[0014] A third aspect of the present application provides an electronic device, comprising: a memory and a processor;

[0015] The memory is used to store programs;

[0016] The processor is coupled to the memory and is used to execute the program to implement the method as described above.

[0017] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is read and executed by a processor, the method as described above is implemented.

[0018] In this way, a portrait of the toll station is established from two dimensions: the square level and the lane level, so that a more detailed description of the operating status of the toll station can be made, and correlation analysis can be performed using the portrait indicators to determine a more accurate operating status of the toll station based on upstream traffic monitoring data and associated relationships, thereby controlling the toll station more accurately and improving the efficiency of toll lane utilization while ensuring the normal operation of the toll station.

[0019] This application captures the traffic inflow and outflow nodes of the toll station, establishes the relationship between the toll station delay and the upstream traffic and the toll lane capacity, and flexibly and efficiently controls the operating status of the toll lane by monitoring the upstream traffic. When the traffic exceeds the processing capacity of the toll station, a timely alarm is issued to enable the toll station to take corresponding measures in advance.

[0020] In this application, the calculation method of fitting traffic is combined with the passing traffic of the toll station to obtain the retained traffic in front of the toll station, clarify the queue situation in front of the toll station, and solve the problem of poor timeliness of point data to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of a method for early warning of a toll station according to an embodiment of the present invention;

[0022] Figure 2 Flow chart of step S10 of the method for early warning of a toll station according to an embodiment of the present invention;

[0023] Figure 3 This is a flow chart of step S11 of the method for early warning of a toll station according to an embodiment of the present invention;

[0024] Figure 4 Flow chart of step S13 of the method for early warning of a toll station according to an embodiment of the present invention;

[0025] Figure 5 This is a flow chart of step S12 of the method for early warning of a toll station according to an embodiment of the present invention;

[0026] Figure 6 is a schematic diagram of a flow analysis unit according to an embodiment of the present invention;

[0027] Figure 7 Flow chart of step S20 of the method for early warning of a toll station according to an embodiment of the present invention;

[0028] Figure 8 Flow chart of step S30 of the method for early warning of a toll station according to an embodiment of the present invention;

[0029] Fig. 9 This is a flowchart of step S30 of a method for early warning of a toll station according to another embodiment of the present invention;

[0030] Fig.10 A topological diagram of multiple downstreams of a toll gate according to an embodiment of the present invention;

[0031] Fig.11 It is a structural block diagram of a device for early warning of a toll station according to an embodiment of the present invention;

[0032] Fig.12 FIG. 4 is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0034] With the increase in public travel and the development of e-commerce, highway transportation plays an increasingly important role in my country's economic and social development. Maintaining the stability and efficient operation of the highway transportation network is of great significance to adjusting the industrial structure, promoting employment and economic development, and accelerating the process of urban-rural integration. In recent years, with the rapid growth of the number of motor vehicles and the gradual increase in demand for highway transportation, toll stations, as important nodes of inter-city transportation, are under increasing operating pressure.

[0035] In recent years, my country's traffic informatization has made great progress. At present, dynamic traffic information services are mainly based on mobile location data and floating car technology. By collecting and processing the location and speed of sampled vehicles on the highway, the average speed information of the road is calculated and released. It has the advantages of high information accuracy, fine granularity, and fast refresh frequency, and is widely used. It should be pointed out that mobile location data is limited by the essential characteristics of its sampling data and is not balanced in time and space distribution. This will lead to the existence of some toll stations where vehicles pass by but are not sampled and cannot be calculated. This phenomenon is particularly obvious during non-peak hours and in cities with fewer navigation users. To this end, dynamic traffic information service providers, highway management departments, etc. are actively exploring ways to enrich the traffic information of toll stations by introducing other data sources and multi-source fusion methods.

[0036] In recent years, the country has actively promoted the removal of provincial boundary stations and the popularization and gradual replacement of ETC networked toll collection, video and other monitoring equipment on highways, providing a nearly full-flow calculation basis for the operation monitoring of toll stations. However, whether it is ETC or video detection equipment, the distribution of the gantry points deployed is limited. For example, the distance between toll stations and adjacent gantries is generally several kilometers or even farther, which means that the frequency and timeliness of data collection, the timeliness and comprehensiveness of information expression, etc. are greatly challenged. Therefore, it is necessary to maximize the disadvantages of data in timeliness and comprehensive information expression while maintaining the advantages of the full sample based on the characteristics of toll data, so that toll data can be applied to the business of toll station operation monitoring and management.

[0037] For infrastructure such as toll booths, traffic is the fundamental reason for all scenarios. When the inflow rate is lower than the outflow rate, the toll booth operates smoothly; when the inflow rate is higher than the outflow rate, traffic will gradually stagnate in front of the toll booth square, and in serious cases, congestion will occur in the toll booth square and upstream.

[0038] When congestion occurs, the most direct indicators for the handling of toll stations are the flow speed of different lanes, stranded vehicles in the toll station square, queue length, delay time required to pass the toll station, etc. Mobile location data is limited by the essential characteristics of its sampling data and cannot accurately obtain the above results. Toll data is full flow data, but toll data belongs to point data, which cannot accurately express the traffic information between the gantry and the toll station. Only after passing the toll station can we know that there is vehicle coverage. Therefore, it is impossible to directly obtain the time when the vehicle enters the toll station square, whether there is a queue in the toll station square, and how long the queue is. This reflects the characteristics of the single location and poor timeliness of toll data. Therefore, how to warn the traffic conditions of the toll station based on the upstream flow monitoring data of the toll station is an urgent problem to be solved.

[0039] There are often multiple toll lanes in a toll plaza. The traffic volume passing through the toll plaza is not consistent at different times, and the difference is particularly obvious during the day and night. If all lanes are working at the same time, it will inevitably lead to a waste of resources during low traffic; if some lanes are closed and only a few lanes are kept working, congestion may occur during heavy traffic. How to improve the efficiency of toll lanes while ensuring normal operation is also worth exploring.

[0040] For ease of description, the following definitions are made:

[0041] Toll gate record: a data record associated with a vehicle and a toll collection device generated when the vehicle passes through the toll gate. The present invention defines CG =<Cid,Gid,type,t> Represents a gantry charging record, where Cid represents the unique identifier of the vehicle, Gid represents the unique identifier of the gantry, type represents the vehicle type, which is obtained by calling the vehicle registration information in the background, and t represents the time when the vehicle passes through the gantry.

[0042] Toll station record: a data record associated with a vehicle and a toll collection device generated when the vehicle passes through a toll station. The present invention defines CT =<Cid,Tid,ct,t,Rid,rt> Represents a toll collection record of a toll station, where Cid represents the unique identifier of the vehicle, Tid represents the unique identifier of the toll station, ct represents the vehicle type, which is obtained by calling the vehicle registration information in the background, t represents the time when the vehicle passes the toll station, Rid represents the identifier of the lane where the vehicle is located, and rt represents the type of lane where the vehicle is located.

[0043] Square-level toll station portrait: refers to the result of describing the target toll station from the perspective of the toll station square based on the toll data at a certain moment.<pf,ff,hf,ct> It represents the plaza-level toll station portrait, where pf represents the actual flow through the toll station plaza, ff represents the fitted flow of vehicles arriving at the toll station plaza, hf represents the stranded flow in front of the toll station plaza, and ct represents the delay time from the gantry to the vehicle passing through the toll station plaza.

[0044] Lane-level toll station portrait: refers to the result of describing the target toll station from the perspective of the toll lane based on the toll data at a certain moment. In the present invention, Road is defined as<fv1,fv2,…> ,<ct1,ct2,…> > represents the plaza-level toll booth image, where fv i represents the flow rate of lane i, which refers to the time interval between adjacent passing vehicles in the same lane; ct i Represents the delay time from the vehicle passing through the gantry to lane i.

[0045] The embodiment of the present application provides a method for early warning of a toll station, which can be performed by a device for early warning of a toll station, and the device for early warning of a toll station can be integrated in electronic devices such as computers, servers, and computers. Figure 1 As shown, it is a flow chart of a method for early warning of a toll station according to an embodiment of the present invention; wherein the method for early warning of a toll station includes:

[0046] S10, obtaining a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index;

[0047] The toll station portrait is a result of describing the toll station from the lanes, squares or more angles of the toll station, and the description may be through multiple indicators or other methods.

[0048] Among them, the construction of the toll station portrait is based on the toll data; after obtaining the toll data, the toll station portrait is constructed according to the toll data.

[0049] S20, performing correlation analysis on the indicators of the toll station portrait, and establishing a correlation between the delay time of the toll station and the upstream flow and the traffic capacity of the toll lane;

[0050] The delay time of toll booths is correlated with the upstream traffic volume and the capacity of toll lanes. When other data remain unchanged, the greater the upstream traffic volume, the longer the delay time of toll booths; when other data remain unchanged, the weaker the capacity of toll lanes, the longer the delay time of toll booths. The specific correlation can be obtained by performing correlation analysis on the indicators of the toll booth portrait.

[0051] S30, acquiring upstream flow monitoring data, and performing flow control on the toll station based on the upstream flow monitoring data and the association relationship.

[0052] The flow control at the toll station may be performed by controlling the number of open lanes to improve the utilization efficiency of the toll lanes, or by issuing an early warning when the upstream flow exceeds the toll station's capacity, or by other control methods.

[0053] In this way, a portrait of the toll station is established from two dimensions: the square level and the lane level, so that a more detailed description of the operating status of the toll station can be made. The portrait indicators can be used for correlation analysis to determine a more accurate operating status of the toll station, thereby providing more accurate early warning and control of the toll station, ensuring the normal operation of the toll station, improving the efficiency of the use of the toll lane, and ensuring timely early warning of the toll station.

[0054] Preferably, if Figure 2 As shown, the construction of the toll station portrait includes:

[0055] S11, constructing a toll road network topology;

[0056] Among them, the toll road network topology is constructed based on electronic maps and the locations of toll gantries and toll stations.

[0057] S12, based on the toll road network topology, obtaining vehicle traffic information of toll stations and toll gantries;

[0058] S13, constructing a plaza-side portrait and a lane-side portrait of the toll station according to the vehicle traffic information of the toll station and the toll road network topology; wherein the plaza flow index includes a time series of passing flow, a time series of arriving flow, and a time series of retained flow; the plaza-side congestion index includes a delay time and a queue length; the lane-side portrait includes a time series of lane-level flow speed and a time series of lane-level delay time for each lane.

[0059] Among them, the flow rate, delay duration, and lane flow rate can be directly obtained using gantry records and toll records, and the stranded flow rate and queue length are indirectly calculated by fitting the flow rate.

[0060] In this way, the square side portrait and lane side portrait are established at the same time, describing the toll station from different dimensions, making the operation status of the toll station more complete and clear. The lane side portrait can accurately determine the operation status of each lane, and can be specially managed for lanes with weak traffic capacity.

[0061] Preferably, if Figure 3 As shown, the S11, constructing a toll road network topology structure, includes:

[0062] S111, obtaining the road section information of each toll gate and toll station on the toll road network, and constructing two-tuples tl, gl respectively, where tl =<Tid,linkid> ,gl=<Gid,linkid> , Gid represents the unique identifier of the gantry, Tid represents the unique identifier of the toll station, linkid represents the unique identifier of the road section number; the set of tl is recorded as Ω tl

[0063] The toll road network can be obtained through the electronic map of the expressway, or the electronic map of the expressway can be directly used as the electronic map of the toll road network, specifically by marking the toll stations and toll gantries on the electronic map.

[0064] Among them, the road section information of the toll gantries and toll stations can be pre-set, or obtained through installation records or the Internet. The specific acquisition method will not be repeated here.

[0065] A section (or road) of an electronic map or a toll road network is called a link, and generally only one toll gate or one toll station is arranged on one section (or one road).

[0066] The distance between two toll gates or two toll stations or the distance between a toll gate and a toll station can be obtained through electronic maps or toll road network information, or can be obtained through pre-marking. The specific acquisition method will not be repeated here.

[0067] Preferably, all toll gates or all toll stations can be marked on an electronic map of the expressway or on the toll road network so that they can be displayed intuitively.

[0068] S112, for any toll station, starting from the link where the toll station is located, perform a depth-first traversal to determine the upstream elements, parallel elements and downstream elements of each toll station and the topological information of the upstream elements;

[0069] Among them, the upstream elements, parallel elements, and downstream elements of the toll station can be toll gantries or toll stations, and the specific form is not limited here.

[0070] Among them, if a vehicle can reach the toll station directly without passing through other elements after passing through an element (toll gantry or toll station), then this element is the upstream element of the toll station.

[0071] Among them, if a vehicle can directly reach an element (toll gate or toll station) without passing through other elements after passing through a toll station, then this element is the downstream element of the toll station.

[0072] If a vehicle can directly reach a toll station without passing through other elements or directly reach another element after passing through an element (a toll gate or a toll station), then the other element is a parallel element of the toll station. It can also be understood that an element with the same upstream element as the toll station is a parallel element of the toll station.

[0073] For example, after passing through element A, a vehicle can directly reach element B or element C without passing through other elements. In this case, element A is the upstream element of element B and element C respectively; element B and element C are the downstream elements of element A respectively; and element B and element C are parallel elements to each other.

[0074] It should be noted that the upstream elements, downstream elements and parallel elements of the toll gate can also be determined in the above manner, which will not be repeated here.

[0075] Preferably, starting from the link where the toll station is located and performing a depth-first traversal upstream, a set of all upstream elements of the toll station can be obtained. The elements in the set may be gantries or other toll stations.

[0076] Among them, for any tl∈Ω tl , the upstream set of all toll stations is denoted as φ tl , one of the gantry is gl, then the topological relationship between the two can be recorded as: topo(tl,gl)=<rela(tl,gl),path(tl,gl),dis(tl,gl),t(tl,gl)> Among them, rela(tl,gl) identifies the upstream and downstream relationship between toll stations tl.Tid and gl.Gid; path(tl,gl)=<gl.linkid...tl.linkid> The path from the gantry to the toll station is recorded; dis(tl, gl) gives the length of the path path(tl, gl); t(tl, gl) gives the time consumed from the gantry to the toll station under free flow driving.

[0077] S113: constructing the toll road network topology structure according to the result of the depth-first traversal.

[0078] The upstream elements, parallel elements and downstream elements of all toll stations and the topological information of the upstream elements are obtained, so as to construct the toll road network topological structure based on the information.

[0079] The corresponding information may be directly marked or recorded on the corresponding toll station or toll gate, thereby constructing the toll road network topology.

[0080] In this way, based on the electronic map and the locations of toll gantries and toll stations, a toll road network topology was established, which facilitated the use of toll data to calculate various indicators of the toll station portrait.

[0081] Preferably, if Figure 4 As shown, the construction of the plaza side image and lane side image of the toll station includes:

[0082] S131, obtaining the flow rate of each lane of the toll station, and accumulating the flow rate of each lane to obtain the flow rate of the toll station square;

[0083] Where, pf = <flow total , flow1, flow2…> represents the flow through toll station tl, where flow passRepresents the total flow through the toll station, flow i Represents the flow of each lane at the toll station, and the relationship between the two is flow pass =∑flow i , i∈(0,n). The traffic volume of each lane can be obtained by accumulating the vehicles in different lanes in the toll record CT.

[0084] According to the time when vehicles pass through the toll station, the time series of traffic is constructed, and individual abnormal data are eliminated, so that the stable distribution of traffic through the toll station tl over a period of time can be obtained.

[0085] S132, calculating the square fitting flow of the toll station by fitting according to the vehicle traffic information and topological information of the upstream elements of the toll station;

[0086] It is assumed that the gantry charging records and toll station charging records of the fitted vehicle c1 are<c1,gl.Gid,c1.Ctype,t0> ,<c1,tl.Tid,c1.Ctype,t1,tl.Rid,tl.Rtype> , combined with the topological relationship from the gantry gl to the toll station tl<rela(tl,gl),path(tl,gl),dis(tl,gl),t(tl,gl)> , the time when vehicle c1 arrives at the toll booth square can be fitted as t0+t(tl,gl).

[0087] By accumulating the fitted vehicles over a period of time, constructing the time series of traffic, and eliminating individual abnormal data, we can obtain the stable fitted traffic distribution of toll station tl over a period of time.

[0088] S133, determining the retention flow of the toll station square according to the difference between the passing flow of the toll station square and the fitting flow of the square;

[0089] Among them, the retained flow of the toll station square is obtained by subtracting the flow that has passed through from the fitted flow of the toll station square.

[0090] Among them, the distribution of the toll station fitting flow is φ arrival (t), the distribution of the flow rate is φ pass (t), the retention flow is y hold (t), then

[0091] S134, determining the plaza delay time of the toll station according to the vehicle passing information of the toll station, the vehicle passing information of the upstream element and the topology information;

[0092] Among them, Cost represents the delay time from gantry gl to toll station tl, based on the gantry toll record of vehicle c1<c1,gl.Gid,c1.Ctype,t0> , toll station collection records<c1,tl.Tid,c1.Ctype,t1,tl.Rid,tl.Rtype> And the topological relationship between the gantry and the toll station<rela(tl,gl),path(tl,gl),dis(tl,gl),t(tl,gl)> The delay time of vehicle c1 can be obtained as Take the delay of all vehicles passing through the toll station and calculate the delay time of the toll station square, such as

[0093] Among them, according to the time when the vehicle passes through the toll station, the time series of the delay time is constructed, and individual abnormal data is eliminated, and the stable delay distribution of the toll station tl over a period of time can be obtained. Considering the speed difference between passenger cars and trucks, when describing the delay time between the gantry and the toll station, it can be refined into different classifications, and each subclass will not be repeated in this application.

[0094] Preferably, the queue length of the square can also be determined.

[0095] The queue length in the toll station square is directly related to the traffic flow in the square. The vehicle type can be clearly defined in the static data of the toll data. len is defined to represent the average queue length in the square, and num truck , num car Respectively represent the number of trucks and buses stranded in the square, α, β represent the space occupied by trucks and buses in the queue, and n represents the number of lanes in the toll station. Then:

[0096]

[0097] S135, determining the time interval between adjacent vehicles passing through each lane of the toll station as the lane-level flow velocity of the lane;

[0098] Among them, fspeed i represents the flow rate of lane i in the toll station, that is, the time interval between adjacent vehicles on the lane passing through the toll station. Then

[0099]

[0100] Among them, when the vehicles are sparse, the flow velocity distribution is discrete and uncertain; when the vehicles are dense and even form a certain queue, the vehicles pass through the toll station in the order of the queue, and the flow velocity distribution is clustered and stable.

[0101] S136, determining the delay duration of each lane according to the vehicle passing information of each lane, the vehicle passing information of the upstream element and the topology information.

[0102] Among them, cost i Indicates the delay of lane i in the gantry toll station, taking the vehicle c1 with tl.Rid=i in the toll record and its corresponding gantry record<c1,gl.Gid,c1.Ctype,t0> and charging records<c1,tl.Tid,c1.Ctype,t1,tl.Rid,tl.Rtype> , we can get the delay of c1 as By calculating all samples passing through lane i, we can get

[0103] In this way, by fitting the flow calculation method and combining it with the flow through the toll station, we can calculate the retained flow in front of the toll station and clarify the queue situation in front of the toll station, which solves the problem of poor timeliness of point data to a certain extent.

[0104] Preferably, if Figure 5 As shown, the S12, based on the toll road network topology, obtains vehicle traffic information of toll stations and toll gates, including:

[0105] S121, based on the toll road network topology, establishing communication connections between the toll station and the upstream element, the parallel element and the downstream element, and constructing the traffic analysis unit;

[0106] S122, based on the traffic analysis unit, the upstream element sends monitoring information of the vehicle to the toll station when detecting that the vehicle passes through;

[0107] S123, after receiving the monitoring information, the toll station adds the vehicle to a monitoring task set and forwards the monitoring information to the parallel element and the downstream element;

[0108] S124, when the toll station detects the vehicle, it records the passing information of the vehicle and deletes the monitoring task of the vehicle;

[0109] S125, when the toll station fails to detect the vehicle, retaining the task of monitoring the vehicle until the parallel element or the downstream element of the toll station detects the vehicle;

[0110] S126, traversing the toll stations in the toll road network topology structure, and recording vehicle passage information of each toll station.

[0111] Among them, Figure 6As shown, the traffic analysis unit may include a master communication module of the downstream toll station (computing core) and slave communication modules of the upstream gantry and parallel gantry, so as to establish a communication connection between the toll station and the upstream elements, parallel elements and downstream elements; wherein, a timing module for timing and a vehicle monitoring module for monitoring whether a vehicle passes through may also be included. It should be noted that the figure only shows the functional modules that the upstream gantry, parallel gantry and downstream toll station based on the current computing core need to have, which is not a strict limitation. When necessary, a timing module, a vehicle monitoring module and the like may be added to the upstream gantry, parallel gantry and downstream toll station.

[0112] The specific acquisition process is described with an example:

[0113] like Figure 6 As shown, for the upstream gantry gl, if in the charging data record<c1,gl.Gid,c1.Ctype,t0> The figure shows that a vehicle c1 passes through the gantry gl at time t0, and the slave communication module sends monitoring information to the main communication module of the downstream toll station tl.<c1,t0+t(gl,tl)+Δt> , that is, notify the downstream toll station tl that it is expected that vehicle c1 will pass through toll station tl before time t0+t(gl, tl)+Δt, and ask toll station tl to monitor; where t(gl, tl) is the normal time taken for a vehicle to pass through gantry gl and toll station tl, and Δt is a tolerance for the time; in the vehicle monitoring module of the downstream toll station tl, c1 is added to the monitoring task set; and the monitored vehicle information is sent to the parallel gantry gl. If the toll data record of c1 is monitored in the parallel gantry gl before time t0+t(gl, tl)+Δt, the main communication module is replied to delete the monitoring task c1 from the monitoring task set; for the downstream toll station tl, if the vehicle c1 is monitored to pass through toll station tl before time t0+t(gl, tl)+Δt, the slave communication modules of the upstream gantry and the parallel gantry are replied to monitor the vehicle c1 normally; otherwise, the monitoring continues until the downstream toll station or the parallel gantry detects the toll data record of c1.

[0114] Preferably, if Figure 7 As shown, the S20, performing correlation analysis on the indicators of the toll station portrait, and establishing a correlation between the toll station delay time and the upstream flow and the toll lane capacity includes:

[0115] S21, obtaining the traffic capacity of the toll station based on lane-level traffic history statistics of each lane in the lane side portrait under normal operation in an open state;

[0116] Among them, there are two factors that directly affect the delay from the gantry to passing through the toll station. One is the traffic from upstream, and the other is the operation of the toll lane (traffic capacity), which represent the inflow and outflow of traffic respectively.

[0117] Among them, the definition represents the capacity of lane i in normal operation in the open state, which can be expressed by the number of vehicles passing through each lane within a period of time. Power represents the capacity of the toll station, so

[0118] S22, based on the time series of the delay duration in the side portrait of the square and the historical data of the time series of the arrival flow, a mapping relationship between the delay duration and the upstream flow is obtained;

[0119] This application uses the time series of delays in the side portraits of the square in historical data and the time series of arrival traffic to find that: when the traffic is extremely small, vehicles have almost no delay and can pass through the toll station smoothly; when the traffic gradually increases, the delay of vehicles passing through the toll station continues to increase until the traffic no longer increases; when the traffic gradually recovers, the delay is shortened. At the same time, the delays caused by the same traffic under different conditions are not consistent. The same traffic will cause more delays in the congestion dissipation stage than in the congestion growth stage.

[0120] Thus, a mapping relationship between the delay duration and the upstream flow rate can be established, wherein the mapping relationship can include a mapping relationship of a congestion growth phase and a mapping relationship of a congestion dissipation phase.

[0121] S23, associating the traffic capacity of the toll station with the mapping relationship, and obtaining the association between the delay duration of the toll station and the upstream flow rate and the traffic capacity of the toll lane.

[0122] From the above mapping relationship between delay time and upstream flow, we can get the corresponding relationship between delay time in different time periods and upstream flow and toll lane capacity f(cost, flow, power). The data of specific correlation relationship can be obtained through experiments and other methods.

[0123] In this way, we can grasp the traffic inflow and outflow nodes of the toll station and establish the relationship between the toll station delay and the upstream traffic and the toll lane capacity. Therefore, we can flexibly and efficiently control the operating status of the toll lane by monitoring the upstream traffic.

[0124] Preferably, if Figure 8 As shown, the flow control includes flow warning, and the S30, obtaining upstream flow monitoring data, and performing flow control on the toll station based on the upstream flow monitoring data and the association relationship includes:

[0125] S301, obtaining the target delay time of the toll station and the maximum capacity of the toll lane;

[0126] Among them, the target delay duration of the toll station can be pre-set or obtained after adjustment according to actual conditions, and the specific acquisition method will not be repeated here.

[0127] Among them, the maximum capacity of the toll lane can be obtained through historical data, or can be pre-set, or obtained after adjustment according to actual conditions. The specific acquisition method will not be repeated here.

[0128] S302, querying the corresponding target maximum upstream flow rate according to the correlation between the delay time of the toll station and the upstream flow rate and the traffic capacity of the toll lane;

[0129] Through the above-mentioned correlation between the delay time of the toll station and the upstream flow and the capacity of the toll lane, the corresponding target maximum upstream flow can be queried.

[0130] S303, obtaining monitored upstream flow data, and when the monitored upstream flow data is greater than the target maximum upstream flow, issuing a flow warning to the toll station.

[0131] Among them, the monitored upstream flow data is the sum of the flow data of all upstream elements of the toll station.

[0132] In this way, when the flow data exceeds the limit, the alarm mechanism can be directly triggered to remind the toll station managers to take certain early warning measures, thereby ensuring the normal operation of the toll station.

[0133] Preferably, the target delay duration of the toll station and the maximum capacity of each toll lane, as well as the flow of the upstream gantry or toll station at a certain moment are obtained, and the required capacity of the toll station is obtained through an association query. In this case, the normal operation of the toll station can be guaranteed only if the total capacity of the open operation lanes is greater than the required capacity.

[0134] Preferably, when there is high retention and delay at the toll station, the operating status of the lane can be determined by checking the flow rate of each lane. If the flow rates of all lanes are normal, it means that the traffic has reached the saturation state of the toll station; if the flow rate of the lane is low, the cause of the lane with low flow rate can be analyzed and targeted management can be carried out.

[0135] In which, define θ i represents the flow velocity threshold for normal operation of lane i, represents the flow rate sample of lane i within the detection time. If the average value of the set samples is greater than the flow rate threshold, and the number of samples within the flow rate threshold is less than a certain proportion, it can be proved that lane i is running abnormally, that is,

[0136]

[0137] Among them, count is the counting operation of samples that meet the conditions, δ i is the ratio threshold.

[0138] Preferably, if Fig. 9 As shown, the obtaining of upstream flow monitoring data includes:

[0139] S311, obtaining historical flow data of upstream elements of the toll station flowing to the toll station;

[0140] S312, based on the historical flow data of each upstream element flowing to the toll station, establish a regression model of the flow and time characteristic variables of the upstream element flowing to the toll station by the least square method;

[0141] S313, when the time characteristic variable is determined, predicting the flow of the upstream element to the toll station under the time characteristic variable according to the regression model;

[0142] S314, summing up the predicted flows of all upstream elements flowing to the toll station to obtain the upstream flow reaching the toll station.

[0143] It should be noted that in the process of calculating the flow, it is considered that the same upstream gantry may have multiple downstream gantry including the target toll station, such as Fig.10 As shown, vehicles passing through gantry A can not only drive toward toll station B, but also drive toward the direction of gantry B. Therefore, the flow prediction method based on the linear regression model in this application is used to predict the upstream flow monitoring data.

[0144] The specific process is described with an example:

[0145] Extract the features that affect the upstream gantry flow distribution, and record the year, month, day, hour, week, and holiday as ρ year , month , day , hour , week , holiday .remember represents the flow of the i-th sample of the downstream toll station branch, N represents the total number of samples, then all flow samples of the downstream toll station can be expressed as

[0146]

[0147] Note i Represents the vector of influencing factors of the i-th sample, then All influencing factors of the downstream toll station can be expressed as

[0148]

[0149] Use βj represents the regression coefficient of the jth characteristic variable. The regression coefficients of all characteristic variables constitute the regression coefficient vector β = [β0, β1, …β j ,…β M ], where β0 represents the constant term of the regression coefficient vector and M represents the total number of feature variables.

[0150] The linear regression model is as follows:

[0151] q toll =ρ toll β T

[0152] The least squares method is used to calculate the regression coefficient of the characteristic variable. Represents the sum of squares of the errors between the calculated data and the actual data when the regression coefficient vector is β, then:

[0153]

[0154] when hour, Take the minimum value, then we have

[0155] When the value of each characteristic variable is given, the regression model can be used to calculate the predicted value of the traffic flow at the downstream toll station.

[0156]

[0157] By accumulating the predicted traffic of all upstream gantries or upstream toll stations of the target toll station, the expected traffic to the target toll station can be obtained, and then an early warning judgment can be made.

[0158] In this application, the calculation method of fitting traffic is combined with the passing traffic of the toll station to obtain the retained traffic in front of the toll station, clarify the queue situation in front of the toll station, and solve the problem of poor timeliness of point data to a certain extent.

[0159] This application simultaneously establishes the plaza side portrait and the lane side portrait, describing the toll station from different dimensions, making the operation status of the toll station more complete and clear. The lane side portrait can accurately determine the operation status of each lane, and can be specially managed for lanes with weak traffic capacity.

[0160] This application captures the traffic inflow and outflow nodes of the toll station, establishes the relationship between the toll station delay and the upstream traffic and the toll lane capacity, and flexibly and efficiently controls the operating status of the toll lane by monitoring the upstream traffic. When the traffic exceeds the processing capacity of the toll station, a timely alarm is issued to enable the toll station to take corresponding measures in advance.

[0161] An embodiment of the present application provides a device for early warning of a toll station, which is used to execute the method for early warning of a toll station described in the above content of the present invention. The device for early warning of a toll station is described in detail below.

[0162] like Fig.11 As shown, the device for early warning of toll booths comprises:

[0163] A portrait acquisition unit 101 is used to acquire a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index;

[0164] A correlation establishing unit 102, which is used to perform correlation analysis on the indicators of the toll station portrait, and establish a correlation between the delay time of the toll station and the upstream flow and the traffic capacity of the toll lane;

[0165] The flow control unit 103 is used to obtain the upstream flow monitoring data, and perform flow control on the toll station based on the upstream flow monitoring data and the association relationship.

[0166] Preferably, the portrait acquisition unit 101 is further used for:

[0167] Construct a toll road network topology; based on the toll road network topology, obtain vehicle traffic information of toll stations and toll gantries; construct a plaza-side portrait and a lane-side portrait of the toll station according to the vehicle traffic information of the toll station and the toll road network topology; wherein the plaza flow index includes a time series of passing flow, a time series of arriving flow, and a time series of retained flow, the plaza-side congestion index includes a delay time and a queue length, and the lane-side portrait includes a time series of lane-level flow speed and a time series of lane-level delay time for each lane.

[0168] Preferably, the portrait acquisition unit 101 is further used for:

[0169] Obtain the road section information of each toll gate and toll station on the toll road network, and construct two-tuples tl, gl respectively, where tl =<Tid,linkid> ,gl=<Gid,linkid> , Gid represents the unique identifier of the gantry, Tid represents the unique identifier of the toll station, and linkid represents the unique identifier of the road section number; for any toll station, starting from the link where the toll station is located, a depth-first traversal is performed to determine the upstream elements, parallel elements and downstream elements of each toll station and the topological information of the upstream elements; based on the results of the depth-first traversal, the toll road network topology structure is constructed.

[0170] Preferably, the portrait acquisition unit 101 is further used for:

[0171] Obtain the flow rate of each lane of the toll station, and accumulate the flow rates of each lane to obtain the through flow rate of the toll station square; calculate the fitted flow rate of the toll station square by fitting according to the vehicle traffic information and topological information of the upstream elements of the toll station; determine the retained flow rate of the toll station square according to the difference between the through flow rate of the toll station square and the fitted flow rate of the square; determine the delay duration of the toll station square according to the vehicle passing information of the toll station, the vehicle traffic information and topological information of the upstream elements; determine the passing time interval of adjacent vehicles in each lane of the toll station as the lane-level flow velocity of the lane; determine the delay duration of each lane according to the vehicle passing information of each lane, the vehicle traffic information and topological information of the upstream elements.

[0172] Preferably, the portrait acquisition unit 101 is further used for:

[0173] Based on the toll road network topology, a communication connection is established between the toll station and the upstream element, the parallel element and the downstream element to construct the traffic analysis unit; based on the traffic analysis unit, when the upstream element detects that a vehicle passes through, the upstream element sends the monitoring information of the vehicle to the toll station; after receiving the monitoring information, the toll station adds the vehicle to the monitoring task set and forwards the monitoring information to the parallel element and the downstream element; when the toll station monitors the vehicle, the passing information of the vehicle is recorded and the monitoring task of the vehicle is deleted; when the toll station does not monitor the vehicle, the monitoring task of the vehicle is retained until the parallel element or the downstream element of the toll station monitors the vehicle; the toll stations in the toll road network topology are traversed to record the vehicle passage information of each toll station.

[0174] Preferably, the association establishing unit 102 is further used for:

[0175] Based on the lane-level traffic historical statistical data of each lane under normal operation in the open state in the lane side portrait, the capacity of the toll station is obtained; based on the historical data of the time series of delay duration and the time series of arrival traffic in the square side portrait, the mapping relationship between the delay duration and the upstream traffic is obtained; the capacity of the toll station is associated with the mapping relationship to obtain the association relationship between the toll station delay duration and the upstream traffic and the capacity of the toll lane.

[0176] Preferably, the flow control unit 103 is further used for:

[0177] Obtain the target delay duration of the toll station and the maximum capacity of the toll lane; query the corresponding target maximum upstream flow rate based on the correlation between the delay duration of the toll station and the upstream flow rate and the capacity of the toll lane; obtain the monitored upstream flow rate data, and when the monitored upstream flow rate data is greater than the target maximum upstream flow rate, issue a flow rate warning to the toll station.

[0178] Preferably, the flow control unit 103 is further used for:

[0179] Obtain historical flow data of upstream elements of a toll station to the toll station; establish a regression model of the flow of the upstream element to the toll station and the time characteristic variable through the least squares method according to the historical flow data of each upstream element to the toll station; when the time characteristic variable is determined, predict the flow of the upstream element to the toll station under the time characteristic variable according to the regression model; accumulate the predicted flow of all upstream elements to the toll station to obtain the upstream flow reaching the toll station.

[0180] The device for toll station warning provided by the above-mentioned embodiment of the present application and the method for toll station warning provided by the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0181] The above describes the internal functions and structure of the device for early warning of toll booths. Fig.12 As shown, in practice, the device for early warning of toll booths can be implemented as a control device (electronic device), including: a memory 301 and a processor 303.

[0182] The memory 301 may be configured to store programs.

[0183] In addition, the memory 301 may also be configured to store various other data to support operations on the control device. Examples of such data include instructions for any application or method operating on the control device, contact data, phone book data, messages, pictures, videos, etc.

[0184] The memory 301 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0185] The processor 303 is coupled to the memory 301 and is used to execute the program in the memory 301 to implement the method as described above:

[0186] In one implementation, the processor 303 is specifically configured to:

[0187] Obtain a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index;

[0188] Conduct correlation analysis on various indicators of the toll station portrait to establish the correlation between the delay time of the toll station and the upstream traffic flow and the capacity of the toll lane;

[0189] The upstream flow monitoring data is obtained, and the flow control of the toll station is performed based on the upstream flow monitoring data and the association relationship.

[0190] In one implementation, the processor 303 is specifically configured to:

[0191] Construct a toll road network topology; based on the toll road network topology, obtain vehicle traffic information of toll stations and toll gantries; construct a plaza-side portrait and a lane-side portrait of the toll station according to the vehicle traffic information of the toll station and the toll road network topology; wherein the plaza flow index includes a time series of passing flow, a time series of arriving flow, and a time series of retained flow, the plaza-side congestion index includes a delay time and a queue length, and the lane-side portrait includes a time series of lane-level flow speed and a time series of lane-level delay time for each lane.

[0192] In one implementation, the processor 303 is specifically configured to:

[0193] Obtain the road section information of each toll gate and toll station on the toll road network, and construct two-tuples tl, gl respectively, where tl =<Tid,linkid> ,gl=<Gid,linkid> , Gid represents the unique identifier of the gantry, Tid represents the unique identifier of the toll station, and linkid represents the unique identifier of the road section number; for any toll station, starting from the link where the toll station is located, a depth-first traversal is performed to determine the upstream elements, parallel elements and downstream elements of each toll station and the topological information of the upstream elements; based on the results of the depth-first traversal, the toll road network topology structure is constructed.

[0194] In one implementation, the processor 303 is specifically configured to:

[0195] Obtain the flow rate of each lane of the toll station, and accumulate the flow rates of each lane to obtain the through flow rate of the toll station square; calculate the fitted flow rate of the toll station square by fitting according to the vehicle traffic information and topological information of the upstream elements of the toll station; determine the retained flow rate of the toll station square according to the difference between the through flow rate of the toll station square and the fitted flow rate of the square; determine the delay duration of the toll station square according to the vehicle passing information of the toll station, the vehicle traffic information and topological information of the upstream elements; determine the passing time interval of adjacent vehicles in each lane of the toll station as the lane-level flow velocity of the lane; determine the delay duration of each lane according to the vehicle passing information of each lane, the vehicle traffic information and topological information of the upstream elements.

[0196] In one implementation, the processor 303 is specifically configured to:

[0197] Based on the toll road network topology, a communication connection is established between the toll station and the upstream element, the parallel element and the downstream element to construct the traffic analysis unit; based on the traffic analysis unit, when the upstream element detects that a vehicle passes through, the upstream element sends the monitoring information of the vehicle to the toll station; after receiving the monitoring information, the toll station adds the vehicle to the monitoring task set and forwards the monitoring information to the parallel element and the downstream element; when the toll station monitors the vehicle, the passing information of the vehicle is recorded and the monitoring task of the vehicle is deleted; when the toll station does not monitor the vehicle, the monitoring task of the vehicle is retained until the parallel element or the downstream element of the toll station monitors the vehicle; the toll stations in the toll road network topology are traversed to record the vehicle passage information of each toll station.

[0198] In one implementation, the processor 303 is specifically configured to:

[0199] Based on the lane-level traffic historical statistical data of each lane under normal operation in the open state in the lane side portrait, the capacity of the toll station is obtained; based on the historical data of the time series of delay duration and the time series of arrival traffic in the square side portrait, the mapping relationship between the delay duration and the upstream traffic is obtained; the capacity of the toll station is associated with the mapping relationship to obtain the association relationship between the toll station delay duration and the upstream traffic and the capacity of the toll lane.

[0200] In one implementation, the processor 303 is specifically configured to:

[0201] Obtain the target delay duration of the toll station and the maximum capacity of the toll lane; query the corresponding target maximum upstream flow rate based on the correlation between the delay duration of the toll station and the upstream flow rate and the capacity of the toll lane; obtain the monitored upstream flow rate data, and when the monitored upstream flow rate data is greater than the target maximum upstream flow rate, issue a flow rate warning to the toll station.

[0202] In one implementation, the processor 303 is specifically configured to:

[0203] Obtain historical flow data of upstream elements of a toll station to the toll station; establish a regression model of the flow of the upstream element to the toll station and the time characteristic variable through the least squares method according to the historical flow data of each upstream element to the toll station; when the time characteristic variable is determined, predict the flow of the upstream element to the toll station under the time characteristic variable according to the regression model; accumulate the predicted flow of all upstream elements to the toll station to obtain the upstream flow reaching the toll station.

[0204] In this application, Fig.12 Only some components are shown schematically, which does not mean that the electronic device only includes Fig.12 Components shown.

[0205] The electronic device provided in this embodiment is based on the same inventive concept as the method for toll station warning provided in the embodiment of the present application, and has the same beneficial effects as the method adopted, run or implemented by the application stored in it.

[0206] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0207] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0208] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0209] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0210] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0211] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0212] An embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is read and executed by a processor, the method as described above is implemented.

[0213] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0214] The computer-readable storage medium provided in the above-mentioned embodiments of the present application and the method for toll station warning provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0215] It should be noted that in the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known structures and technologies are not shown in detail so as not to obscure the understanding of this description.

[0216] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0217] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for early warning of toll stations based on toll data, characterized in that: include: Obtain a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index; Conduct correlation analysis on various indicators of the toll station portrait, and establish a correlation relationship between the delay time of the toll station and the upstream flow and the capacity of the toll lane, including: based on the lane-level flow historical statistical data of each lane in the open state and normal operation in the lane side portrait, obtain the capacity of the toll station; based on the time series of the delay time and the historical data of the time series of the arrival flow in the square side portrait, obtain the mapping relationship between the delay time and the upstream flow; associate the capacity of the toll station with the mapping relationship to obtain the correlation relationship between the delay time of the toll station and the upstream flow and the capacity of the toll lane; Acquire upstream flow monitoring data, and perform flow control on the toll station based on the upstream flow monitoring data and the association relationship; The construction of the toll station portrait includes: Construct toll road network topology; Based on the toll road network topology, obtaining vehicle traffic information of toll stations and toll gates; Constructing a plaza-side image and a lane-side image of the toll station according to the vehicle traffic information of the toll station and the toll road network topology structure; Among them, the square flow indicators include the time series of passing flow, the time series of arriving flow, and the time series of retained flow; the square side congestion indicators include delay time and queue length; the lane side portrait includes the time series of lane-level flow speed and lane-level delay time of each lane.

2. The method according to claim 1, characterized in that The construction of the toll road network topology structure includes: Obtain the road section information of each toll gate and toll station on the toll road network and construct two-tuples respectively , ,in, , , Indicates the unique identification of the door frame. Indicates the unique identifier of the toll station. A unique identifier indicating the road segment number; For any toll station, the link As a starting point, perform depth-first traversal to determine the upstream elements, parallel elements and downstream elements of each toll station and the topological information of the upstream elements; The toll road network topology structure is constructed according to the result of the depth-first traversal.

3. The method according to claim 1, characterized in that Pre-built toll booth portraits include: Obtain the flow rate of each lane of the toll station, and add up the flow rates of each lane to get the flow rate of the toll station square; According to the vehicle traffic information and topological information of the upstream elements of the toll station, the square fitting flow of the toll station is calculated by fitting; Determine the retention flow of the toll station square according to the difference between the passing flow of the toll station square and the fitting flow of the square; According to the vehicle passing information of the toll station, the vehicle passing information and topological information of the upstream elements, the square delay time of the toll station is determined; The time interval between adjacent vehicles in each lane of the toll station is determined as the lane-level flow velocity of the lane; The delay duration of each lane is determined based on the vehicle passing information of each lane, the vehicle traffic information of the upstream elements and the topology information.

4. The method according to claim 1, characterized in that: The obtaining of vehicle traffic information of toll stations and toll gates based on the toll road network topology structure includes: Based on the toll road network topology, a communication connection is established between the toll station and the upstream element, the parallel element and the downstream element, and a traffic analysis unit is constructed; Based on the traffic analysis unit, the upstream element sends monitoring information of the vehicle to the toll station when detecting the passing of the vehicle; After receiving the monitoring information, the toll station adds the vehicle to a monitoring task set and forwards the monitoring information to the parallel element and the downstream element; When the toll station detects the vehicle, it records the passing information of the vehicle and deletes the monitoring task of the vehicle; In the case where the toll station fails to detect the vehicle, retaining the task of monitoring the vehicle until the parallel element or the downstream element of the toll station detects the vehicle; The toll stations in the toll road network topology are traversed to record the vehicle passing information of each toll station.

5. The method according to claim 1, characterized in that The flow control includes flow warning, and the acquiring of upstream flow monitoring data, and the flow control of the toll station based on the upstream flow monitoring data and the association relationship includes: Obtaining the target delay time of the toll station and the maximum capacity of the toll lane; According to the correlation between the delay time of the toll station and the upstream flow and the capacity of the toll lane, query the corresponding target maximum upstream flow; The monitored upstream flow data is obtained, and when the monitored upstream flow data is greater than the target maximum upstream flow, a flow warning is issued to the toll station.

6. The method according to any one of claims 1 to 5, characterized in that The obtaining of upstream flow monitoring data includes: Get the historical flow data of the upstream elements of the toll station to the toll station; According to the historical flow data of each upstream element flowing to the toll station, a regression model of the flow and time characteristic variables of the upstream element flowing to the toll station is established by the least square method; When a time characteristic variable is determined, predicting the flow of the upstream element to the toll station under the time characteristic variable according to the regression model; The upstream flow reaching the toll station is obtained by summing up the predicted flows of all upstream elements to the toll station.

7. A device for early warning of toll booths based on toll data, characterized in that: include: A portrait acquisition unit, which is used to acquire a pre-built toll station portrait, wherein the toll station portrait includes a square side portrait and a lane side portrait of the toll station, wherein the square side portrait includes a square flow index and a square side congestion index, and the lane side portrait includes a lane-level delay duration index and a lane-level flow speed index; A correlation establishing unit, which is used to perform correlation analysis on each indicator of the toll station portrait, and establish a correlation relationship between the delay time of the toll station and the upstream flow and the capacity of the toll lane, including: obtaining the capacity of the toll station based on the lane-level flow historical statistical data of each lane in the open state and normal operation in the lane side portrait; obtaining the mapping relationship between the delay time and the upstream flow based on the time series of the delay time and the historical data of the time series of the arrival flow in the square side portrait; associating the capacity of the toll station with the mapping relationship to obtain the correlation relationship between the delay time of the toll station and the upstream flow and the capacity of the toll lane; A flow control unit, which is used to obtain upstream flow monitoring data, and perform flow control on the toll station based on the upstream flow monitoring data and the association relationship; The construction of the toll station portrait includes: Constructing a toll road network topology structure; obtaining vehicle traffic information of toll stations and toll gates based on the toll road network topology structure; and constructing a plaza side image and a lane side image of the toll station based on the vehicle traffic information of the toll station and the toll road network topology structure; Among them, the square flow indicators include the time series of passing flow, the time series of arriving flow, and the time series of retained flow; the square side congestion indicators include delay time and queue length; the lane side portrait includes the time series of lane-level flow speed and lane-level delay time of each lane.

8. An electronic device, characterized in that: include: Memory and processor; The memory is used to store programs; The processor, coupled to the memory, is configured to execute the program to implement the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is read and executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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