Highway network operation and management methods, systems, media and electronic equipment

Abstract

This application discloses a method, system, medium, and electronic device for highway network operation management. The method includes: acquiring and preprocessing travel data of each vehicle within a preset period to obtain the travel itinerary of each vehicle; acquiring a set of management domains associated with each traffic collection device in the travel itinerary to obtain all management domains corresponding to the travel itinerary; constructing the correlation between the travel itinerary and all management domains of the travel itinerary to perform operational scenario transformation on the relationship between the management domains; based on the transformation results, performing multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range to obtain multiple quantitative analysis indicators for each management domain; based on the multiple quantitative analysis indicators of each management domain, statistically comparing the indicator values ​​within different periods or between management domains, and determining the highway network operation strategy based on the changes in indicator values. Using the embodiments of this application can provide strong support for highway network operation analysis and optimization, thereby improving highway network operation efficiency.

Description

Technical Field

[0001] This application relates to the fields of intelligent transportation technology and computer technology, and in particular to a method, system, medium and electronic device for highway network operation and management. Background Technology

[0002] In recent years, the construction of transportation infrastructure, especially the expressway network, has provided strong support for rapid economic and social development. To manage and utilize expressways effectively, their operation and management are of paramount importance in expressway administration.

[0003] In related technologies, a highway network operation monitoring indicator system and management service system have been constructed from dimensions such as traffic flow, speed, traffic events, and traffic weather to ensure the efficient and safe operation of the highway network. However, due to the lack of systematic analysis methods and evaluation tools for highway network operation management in related technologies, management is currently carried out only through macro-level indicators such as traffic flow and toll revenue, which cannot provide strong support for highway network operation analysis and optimization, thus affecting the improvement of highway network operation efficiency. Summary of the Invention

[0004] This application provides a method, system, medium, and electronic device for highway network operation and management. To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general description, nor is it intended to identify key / important components or describe the scope of protection of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0005] In a first aspect, embodiments of this application provide a method for highway network operation and management, the method comprising:

[0006] The travel data of each vehicle within a preset period is acquired and preprocessed to obtain the travel itinerary of each vehicle; the travel data is constructed based on the traffic flow sensing data collected by traffic flow collection equipment on the highway.

[0007] Obtain the set of management domains associated with each traffic collection device in the travel itinerary, and obtain all management domains corresponding to the travel itinerary;

[0008] Construct the relationships between travel itineraries and all management domains of travel itineraries, and perform operational scenario escaping on the relationships between management domains in all management domains to obtain the escaping results;

[0009] Based on the escaping results, the operational functions of each management domain within the preset monitoring time range are quantified in multiple dimensions to obtain multiple quantitative analysis indicators for each management domain.

[0010] Based on multiple quantitative analysis indicators for each management domain, the indicator values ​​within different periods or between management domains are statistically compared, and the highway network operation strategy is determined according to the changes in indicator values.

[0011] Secondly, embodiments of this application provide a highway network operation and management system, the system comprising:

[0012] The trip data acquisition module is used to acquire and preprocess the trip data of each vehicle within a preset period to obtain the travel trip of each vehicle; the trip data is constructed based on the traffic sensing data collected by traffic collection equipment on the highway;

[0013] The Operations Management Domain Acquisition Module is used to acquire the set of Operations Management Domains associated with each traffic collection device in the travel itinerary, thereby obtaining all management domains for the travel itinerary;

[0014] The correlation construction module is used to build the correlation between travel itineraries and all management domains of travel itineraries, and to perform operational scenario escaping on the relationships between management domains in all management domains to obtain the escaping results;

[0015] The multi-dimensional quantification module is used to quantify the operational functions of each management domain within a preset monitoring time range based on the escaping results, and obtain multiple quantitative analysis indicators for each management domain.

[0016] The optimization module is used to statistically analyze and compare the index values ​​in different periods or between management domains based on multiple quantitative analysis indicators of each management domain, and determine the highway network operation strategy based on the changes in index values.

[0017] Thirdly, embodiments of this application provide a computer storage medium storing multiple instructions adapted for loading and execution of the above-described method steps by a processor.

[0018] Fourthly, embodiments of this application provide an electronic device that may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and executed by the above-described method steps.

[0019] The technical solutions provided in some embodiments of this application may include the following beneficial effects:

[0020] In some embodiments of this application, the application generates travel itineraries for each vehicle by constructing travel data based on traffic sensing data collected by traffic flow acquisition devices on highways. By constructing the travel itinerary and the correlation between all management domains of the travel itinerary, the application achieves multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range. On the one hand, the traffic flow acquisition device has the ability to perceive the full traffic flow of the highway, and can construct a characterization of the complete travel itinerary of the vehicle based on the sensing data, thus providing a data foundation for highway network operation analysis. On the other hand, the indicators obtained through multi-dimensional quantification can be statistically analyzed and compared with the indicator values ​​in different periods or between management domains, providing a practical data foundation for highway network operation management and optimization. Based on the analysis of this data, highway network operation strategies can be determined, providing strong support for highway network operation analysis and optimization, thereby improving highway network operation efficiency.

[0021] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0023] Figure 1 This is a flowchart illustrating a highway network operation and management method provided in an embodiment of this application;

[0024] Figure 2 This is a schematic diagram of highway network operation and management provided in an embodiment of this application;

[0025] Figure 3 This is a schematic diagram of the structure of a highway network operation and management system provided in an embodiment of this application;

[0026] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0027] The following description and accompanying drawings fully illustrate specific embodiments of this application to enable those skilled in the art to practice them.

[0028] It should be understood that the described embodiments are merely some, not all, of the embodiments in this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.

[0029] In the following description, when referring to the accompanying drawings, the same numbers in different drawings denote the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of systems and methods consistent with some aspects of this application as detailed in the appended claims.

[0030] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.

[0031] The following will be combined with the appendix Figure 1 - Appendix Figure 2 This application provides a detailed description of the highway network operation and management method provided in its embodiments. This method can be implemented using a computer program and can run on a highway network operation and management system based on the von Neumann architecture. This computer program can be integrated into the application or run as a standalone utility application.

[0032] Please see Figure 1 This is a flowchart illustrating a highway network operation and management method as provided in this application embodiment. Figure 1 As shown, the method in this application embodiment may include the following steps:

[0033] S101, acquire and preprocess the travel data of each vehicle within a preset period to obtain the travel itinerary of each vehicle; the travel data is constructed based on the traffic sensing data collected by the traffic collection equipment on the highway;

[0034] The preset period is a duration that can be set based on the actual application scenario, and this duration can be one month or six months. Traffic collection devices include, but are not limited to, ETC toll collection devices on toll gantries and license plate image recognition devices.

[0035] It should be noted that the highway network achieves its operational goals while fulfilling its passenger and freight transport functions. Therefore, to solve the problems of highway network operation management and optimization, the prerequisite is to deconstruct and quantify the passenger and freight transport functions undertaken by the highway network. Starting from first principles, a vehicle's travel journey depicts the complete process of a vehicle traveling from its origin (O) to its destination (D) via the highway network. The subset of the road network it traverses (the part of the road network covered by the path) undertakes the transport function from O to D. In view of this, vehicle travel journeys are a good vehicle model for highway network operation analysis. Therefore, in the process of highway network operation management, it is necessary to acquire and preprocess the travel data of each vehicle within a preset period.

[0036] In some embodiments, when a vehicle passes through a traffic sensing device deployed on a toll plaza plaza and gantry, a traffic sensing data point is generated and uploaded to the backend server. The data can be in the format of a triple. Where 'c' uniquely identifies a vehicle, 'g' uniquely identifies a traffic data collection device, and 't' represents the moment when vehicle 'c' passes through traffic sensing device 'g'. The travel data of vehicle 'c' can be expressed as:

[0037]

[0038] Without considering time, it can also be abbreviated as:

[0039]

[0040] exist Figure 2 In the example, suppose there are 3 travel data entries named path 1 =g1→g2→g3→g4→g5, path 2 =g1→g6→g7→g8→g5 and path 3 =p1→g9→g 10 →g 11 →p2.

[0041] In some embodiments of this application, the travel itinerary of each vehicle can be generated by obtaining the travel data of each vehicle within a preset period, merging adjacent trips that meet the preset merging conditions in the travel data of each vehicle, and thus obtaining the travel itinerary of each vehicle.

[0042] For example, when generating travel itineraries for each vehicle, for a preset period T, each vehicle may have multiple trips, each of which is denoted as a path. c,kHere, 'c' uniquely refers to a vehicle, and 'k' represents the k-th trip of vehicle 'c' within a preset period, where k ∈ K, and K represents the trip data of vehicle 'c' within the preset period. During the journey of a vehicle on the highway network, various reasons may cause trip interruptions, resulting in many phenomenon ODs. These phenomenon ODs need to be merged into the vehicle's true OD. Therefore, this application requires merging and preprocessing adjacent trips (such as the (k-1)-th and k-th trips) existing in the trip data of the same vehicle. The trips of each vehicle after merging and preprocessing can be denoted as... have and

[0043] It should be noted that the preprocessing of merging adjacent trips (such as the (k-1)th and kth trips) is an existing technology, and the method in patent CN115050182B can be found for details, which will not be repeated here.

[0044] S102, obtain the set of management domains associated with each traffic collection device in the travel itinerary, and obtain all management domains corresponding to the travel itinerary;

[0045] The management domain refers to the operational management area set up for the highway network. The highway network operation and management methods need to be adapted to the differences in the management scope of different highway management entities (such as provincial companies and section companies). Figure 2 As shown, A through F represent different management domains, where A is a higher-level management domain (e.g., a provincial company), and B through F are lower-level management domains (e.g., road section companies). Management domains at the same level should not overlap spatially in principle. g1 through g 11 p1 and p2 are toll gates within management domain A, and p1 and p2 are toll plazas within management domain A.

[0046] Specifically, let G be the set of traffic sensing devices in the highway network, Ψ be the set of available traffic sensing records on the highway network, and Υ be all management domains on the highway network. For a given operation management domain γ∈Υ, it operates all traffic sensing devices within the domain and collects the traffic sensing records generated by these devices. Management domains can be customized according to business needs; by specifying the set of traffic sensing devices included in the operation management domain, data records for that operation management domain can be obtained from the dataset. Conversely, this can also be achieved using the function dom(g)={γ|g∈G}. γ} This yields the set of operation and management domains to which each traffic sensing device belongs.

[0047] In some embodiments of this application, the travel itinerary of each vehicle... Any flow acquisition device in The set of associated operation management domains can be obtained as dom(g) through the function dom(). Therefore, all management domains corresponding to the travel trip of each vehicle are ∪dom(g).

[0048] S103, construct the relationship between the trip itinerary and all management domains of the trip itinerary, and perform operational scenario escaping on the relationship between each management domain in all management domains to obtain the escaping result;

[0049] In some embodiments of this application, during the process of constructing the relationship between a travel itinerary and all management domains of the travel itinerary, each management domain in all management domains of the travel itinerary is matched with the travel itinerary to obtain the matching calculation result corresponding to each management domain and the travel itinerary; based on the matching calculation result corresponding to each management domain and the travel itinerary, the relationship between the travel itinerary and each management domain, the traffic demand between each management domain, and the functional quantification result of each management domain are determined; the relationship between the travel itinerary and each management domain, the traffic demand between each management domain, and the functional quantification result of each management domain are used as the escaping result of the operation scenario escaping.

[0050] In some embodiments of this application, the specific processing procedure for matching each management domain in all management domains of a travel itinerary with the travel itinerary to obtain the matching calculation result corresponding to each management domain and the travel itinerary includes the following steps: matching the first management domain with the travel itinerary to determine whether all traffic sensing devices in each segment of the travel itinerary belong to the first management domain and whether all other traffic sensing devices outside each segment of the travel itinerary do not belong to the first management domain; the first management domain is each management domain in all management domains of the travel itinerary; if so, determining that the first management domain matches each segment of the travel itinerary, and generating the matching calculation result corresponding to each management domain and the travel itinerary.

[0051] For example, for the first management domain γ∈∪dom(g) in all management domains corresponding to the travel trips of each vehicle, perform a comparison with... Matching calculation The specific process is as follows: retrieve the row stroke. If each segment sequence satisfies the condition that all traffic sensing devices within each segment sequence belong to the first management domain γ, and no other sensing devices outside each segment sequence belong to the first management domain γ, then each segment sequence is matched with the management domain γ.

[0052] After matching is completed, the matching calculation result for each management domain and the corresponding travel itinerary is recorded as follows:

[0053]

[0054] Among them, 'c' uniquely identifies a vehicle. This identifies a trip for the vehicle, where γ is the matched management domain, t0 and t1 are the times the vehicle enters and leaves the management domain, l is the distance the vehicle travels within the management domain, η is the vehicle's transport capacity (passenger capacity for buses, and total weight of cargo for trucks, minus the empty weight of the vehicle type), and ρ is the location type of the management domain in the trip.

[0055] ρ0: Intra-domain type, referring to the subsequence that matches the governing domain γ and is located in The entire segment; otherwise,

[0056] ρ1: Origin type, referring to the subsequence matching the administrative domain γ located in The front part;

[0057] ρ2: Arrival type, indicating the subsequence matching the administrative domain γ is located in The latter part;

[0058] ρ3: Path type, indicating that the subsequence matching the management domain γ is located in The middle section.

[0059] It should be noted that the traffic sensing devices included in each management domain are not overlapping, so the above method can meet the scenario requirements of this invention.

[0060] like Figure 2 As shown, the relationship between travel itineraries and various management domains includes: path 1 and path 2 It refers to a transit route (where both the origin and destination are outside the domain), while path... 3 It is an intra-domain trip (the origin and destination of the trip are both within the domain), and similarly... Figure 2 The text does not explicitly state either departure trips (trips originating within the domain and ending outside the domain) or arrival trips (trips originating outside the domain and ending within the domain).

[0061] In some embodiments of this application, the specific processing steps for determining the relationship between a travel trip and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain based on the matching calculation results corresponding to each management domain and the travel trip include the following steps: obtaining the location type of each management domain in the travel trip from the matching calculation results corresponding to each management domain and the travel trip; determining the relationship between the travel trip and each management domain based on the location type; for any two management domains among all management domains, if the location type of the first management domain in the travel trip is the departure type and the location type of the second management domain in the travel trip is the arrival type, then generating a route from the first management domain to the second management domain and... There is a target traffic demand; or if the location type of any two management domains in the travel itinerary is entirely within the domain, the traffic demand for the first and second management domains is generated respectively; for any three management domains among all management domains, if the location type of the first management domain in the travel itinerary is origin, the location type of the second management domain in the travel itinerary is destination, and the location type of the third management domain in the travel itinerary is transit, the functional quantification results among the third management domain, the first management domain, and the second management domain are generated; after all management domains have been analyzed based on the above process, the relationship between the travel itinerary and each management domain, the traffic demand among the management domains, and the functional quantification results of each management domain are obtained.

[0062] For example, let For travel itinerary The matching calculation results with the management domain, γ1, γ2 and γ3 are respectively the matching results with the management domain. The three mapping management domains are: Next, the relationship between γ1, γ2, and γ3 is escaped based on the matching results.

[0063] From the matching calculation results, according to The field can be used to obtain the location type of each administrative domain in the trip; based on the location type, the relationship between the trip and each administrative domain can be determined.

[0064] If the location type of the first of any two management domains in the travel itinerary is the origin type. Furthermore, the location type of the second management domain in the travel itinerary is the destination type. This indicates that there exists a traffic demand from γ1 to γ2 with a capacity of η. This traffic demand can be denoted as... Regarding the traffic flow within the domain, let's define the management domain as γ1, and the traffic demand as...

[0065] If any two management domains and any three management domains have a location type of origin in the travel itinerary, then... Furthermore, the location type of the second management domain in the travel itinerary is the destination type. Furthermore, a third management domain has a location type of "passing through" in the travel itinerary. This indicates that γ3 transported traffic demand η from γ1 to γ2, generating the functional quantification results between the third management domain, the first management domain, and the second management domain.

[0066] It should be noted that in the above results, the time t0 when the trip enters the management domain refers to the moment when the trip occurs within the management domain.

[0067] S104. Based on the escaping results, the operational functions of each management domain within the preset monitoring time range are quantified in multiple dimensions to obtain multiple quantitative analysis indicators for each management domain.

[0068] In some embodiments of this application, when performing multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range based on the escaping results to obtain multiple quantitative analysis indicators for each management domain, the following steps are included: based on the traffic demand between each management domain, summarizing the results of all vehicles in the road network within the preset monitoring time range for the first and second target management domains to obtain the traffic demand and traffic frequency from the first target management domain to the second target management domain; based on the functional quantification results of each management domain, summarizing the results of all vehicles in the road network within the preset monitoring time range for the third target management domain to obtain the functional quantification results and traffic frequency of the third target management domain; the first target management domain, the second target management domain, and the third target management domain are any three management domains among the management domains; for the traffic demand from the first target management domain to the second target management domain, if the sub-management domains in the third target management domain are respectively in the first target management domain... On the paths corresponding to the first and second target management domains, it is determined that there is a competitive relationship between the sub-management domains in the third target management domain and the first and second target management domains, generating competitive relationships among the sub-management domains in the third target management domain; constructing the internalized functional distribution of the third target management domain, which means that the third target management domain satisfies the traffic demand from the first target management domain to the second target management domain and satisfies the traffic demand with other management domains; constructing the externalized functional distribution of the third target management domain, which means that the third target management domain satisfies the traffic demand from the first target management domain to the second target management domain or satisfies the traffic demand with other management domains; constructing the contribution of vehicles to each management domain; determining the user level based on the number of times and mileage of vehicles in each management domain; and using the parameters determined above as multiple quantitative analysis indicators for each management domain.

[0069] For example, for any first target management domain γ in each management domain x Second target management domain γ yand the third target management domain γ z Given a preset monitoring time range T, the results of all vehicles in the highway network can be summarized based on the traffic demand φ0 between each management domain and the functional quantification results φ1 of each management domain, resulting in the following quantified data:

[0070] 1. First target management domain γ x To the second target management domain γ y The traffic demand is denoted as:

[0071] There is φ0.γ1=γ x ,φ0.γ2=γ y ,φ0.t0∈T;

[0072] First target management domain γ x To the second target management domain γ y The number of traffic trips is recorded as follows:

[0073]

[0074] Among them, such as Figure 2 As shown, the traffic demand between management domains includes: path 3 The journey from management domain F to management domain D indicates a travel demand between F and D. The cumulative journey from F to D can quantify the transportation demand from management domain F to management domain D, thereby further quantifying the economic and social connections between them.

[0075] 2. Third target management domain γ z Functional quantification, denoted as:

[0076]

[0077] There is φ1.γ1=γ x ,φ1.γ2=γ y ,φ1.γ3=γ z ,φ0.t0∈T;

[0078] Third target management domain γ z The number of traffic trips is recorded as follows:

[0079]

[0080] Furthermore,

[0081] like Figure 2As shown, the functional quantification of a management domain includes: the path from management domain F to management domain D passes through management domain E, indicating that management domain E handles the traffic demand from F to D. Similarly, the traffic demand handled by management domain E, including traffic from F to D and other traffic from X to Y, is the quantitative expression of the road network function of management domain E. Furthermore, the distribution of internalized and externalized functions of management domains can be quantitatively expressed.

[0082] 3. Sub-management domains γ within the third target management domain z1 to γ z2 The competitive relationship is denoted as:

[0083] For the first target management domain γ x To the second target management domain γ y Traffic demand, sub-management domain γ in the third target management domain z1 and γ z2 The functional quantization results are φ1(γ) 21 ,γ x ,γ y ,T) and φ1(γ z2 ,γ x ,γ y ,T), and the sub-management domain γ in the third target management domain z1 and γ z2 Belonging to the first target management domain γ x To the second target management domain γ y The two paths are denoted as sub-management domain γ. z1 to γ z2 Starting from the first target management domain γ x To the second target management domain γ y The transportation demands of these entities are in competition, which can be represented as:

[0084] φ2(γ z1 ,γ z2 ,γ x ,γ y ,T)=φ1(γ z1 ,γ x ,γ y ,T) / φ1(γ z2 ,γ x ,γ y ,T);

[0085] Furthermore, if we want to manage domain γ from all traffic demands... z1 to γ z2 The competitive relationship is denoted as:

[0086]

[0087] Where len(γ) z ,γx ,γ y ) refers to the management domain γ z From γ x to γ y The mileage in the route is used to weight traffic demand.

[0088] like Figure 2 As shown, the competition between management domains includes: path 1 and path 2 Within management domain A, the transportation needs from g1 to g5 are met, but the journeys are completed by management domains F and C respectively. From the perspective of meeting the transportation needs from g1 to g5, management domains F and C are in competition.

[0089] 4. Third target management domain γ z The internalized distribution of functions can be denoted as:

[0090] Third target management domain γ z Not only does it satisfy the first target management domain γ x To the second target management domain γ y In addition to meeting the traffic demands of the target domain, it is also necessary to satisfy the traffic demands between other management domains, thus defining a third target management domain γ. z Functional internalization distribution (with the first target management domain γ) x To the second target management domain γ y For example, as follows:

[0091]

[0092] like Figure 2 As shown, internalized distribution: For example, management domain E not only undertakes the traffic demand from management domain F to management domain D, but also other traffic demands such as from X to Y. The percentage of traffic demand from management domain F to management domain D in the total function of management domain E can be quantified.

[0093] 5. Third target management domain γ z The externalized distribution of functions can be denoted as:

[0094] From the first target management domain γ x To the second target management domain γ y Traffic demand is not only determined by the third target management domain γ z This can be satisfied, and it may also be satisfied through other competing management domains, thus defining a third target management domain γ. z Functional externalization distribution (with the first target management domain γ) x To the second target management domain γ y For example, as follows:

[0095]

[0096] like Figure 2 As shown, externalized distribution: For example, if the journey from management domain F to management domain D can also be satisfied by other management domains such as X, then the percentage of traffic demand from management domain F to management domain D that management domain E undertakes can be quantified.

[0097] The above five indicators can help identify the key points and focus of operational work.

[0098] In some implementations, the process of constructing a user's contribution to each management domain includes: determining the number of trips each vehicle makes to each management domain within a preset monitoring time period; determining the mileage contribution each vehicle makes to each management domain within a preset monitoring time period; determining the transport volume contribution each vehicle makes to each management domain within a preset monitoring time period; determining the turnover volume contribution each vehicle makes to each management domain within a preset monitoring time period; and using the parameters determined above as the user's contribution to each management domain.

[0099] For example, given a preset monitoring time range T, the contribution of vehicle c to the number of trips in the management domain γ is:

[0100] have

[0101] Mileage contribution is:

[0102]

[0103] The contribution to transport volume is:

[0104]

[0105] The contribution of turnover is:

[0106]

[0107] In some implementations, when determining a user's level based on the number of times a vehicle travels through each management domain and the mileage traveled, generally speaking, the number of times vehicle c travels through management domain γ and the mileage traveled will determine the toll amount. Therefore, it can be based on φ 31 (c,γ,T) and φ 32 (c,γ,T) are used to jointly determine the user's level, serving as the basis for differentiated user operations.

[0108] In one possible implementation, since the sizes of different management domains are different, let's denote the longest travel length within the γ domain as L. γ , with L γ Based on the average trip mileage, total trip mileage, and number of trips, user levels are defined as shown in the table below. 35 (c,γ,T):

[0109]

[0110] If T is one month, let's assume ω1 = 80%, ω2 = 60%, ω3 = 40%, N = 4, and ω = 10. These parameters can be adjusted according to the actual situation.

[0111] For example, the relationship between vehicles and management domains includes: a vehicle passes through one or more management domains during a trip, thus contributing toll fees to that domain. This application quantifies the vehicle's contribution to the management domain from dimensions such as the number of passages, the distance traveled, and the toll fees. User tiering system: For the same management domain, different vehicles contribute differently to its operation. Users can be tiered and managed differently based on dimensions such as the number of passages, the distance traveled, and the toll fees, thereby quantifying the effectiveness of operational work by analyzing the conversion rates of different user levels. Furthermore, behavioral analysis of characteristic users can identify and optimize operational problems.

[0112] S105, based on multiple quantitative analysis indicators of each management domain, statistically compares the indicator values ​​within different periods or between management domains, and determines the highway network operation strategy based on the changes in indicator values.

[0113] In some implementations, when determining the highway network operation strategy based on multiple quantitative analysis indicators of each management domain, statistically comparing indicator values ​​within different periods or between management domains, and determining the highway network operation strategy based on changes in indicator values, the process includes comparing changes in traffic frequency and user level of multiple quantitative analysis indicators of each management domain within different periods or between management domains; determining the operational problems existing in the highway network based on the changes in the multiple quantitative analysis indicators within different periods or between management domains; and determining the highway network operation strategy based on the operational problems.

[0114] In some implementations, when multiple quantitative indicators differ significantly between adjacent management domains within the same period, such as vehicle traffic volume, vehicle type, type of goods transported, and distance traveled, it is preliminarily determined that the highway network corresponding to a certain management domain has an operational problem. Based on the specific operational problem, an operational strategy corresponding to that problem is retrieved from a preset operational strategy database. In some implementations, the process of determining the highway network operational strategy based on the operational problem includes: when there is a situation where the distance between the highway exit of the first vehicle trip and the highway entrance of the second vehicle trip in two adjacent vehicle trips is greater than a preset threshold, and there is at least one path in each management domain that satisfies the trip, it is determined that there is room for optimization in the operation between the highway exit of the first vehicle trip and the highway entrance of the second vehicle trip, triggering differentiated operation of the highway network; and this differentiated operation is adopted as the operational strategy of the highway network.

[0115] For example, after obtaining the indicator parameters based on step S104, by comparing the indicator values ​​under different statistical periods T1 and T2, full lifecycle management of operational indicators can be achieved, which can also help identify operational problems. For example, by tracking φ 10 Changes in indicators, and φ 35 Changes in metrics can easily reveal explicit operational problems. For example, the pre-processed trips of two adjacent vehicles... and if exports and The entrance is far away, and the meta-management domain If there is a path in memory that can satisfy its traffic demand, then exports and There is room for optimization in the operation of the entrance, and differentiated operation methods, such as differentiated pricing, can be implemented.

[0116] In some embodiments, such as Figure 2 As shown, the findings of operational problems in the highway network include:

[0117] Explicit problem: Suppose that for vehicle c 1 In terms of path 1 This is its usual route; if c is found in different statistical periods... 1 Take the path 1 The number of times decreased significantly, i.e., c 1 If a user's account level experiences a severe decline, this is considered a significant operational problem for management domain B. Further analysis of c... 1 Do not follow the path 1 The reason might be that the path was taken. 2 If the problem occurs, it is not considered an operational issue for management domain A; however, if the problem occurs via a surface road, it is also considered an operational issue for management domain A. Such problems can be monitored and detected within the technical system of this invention, and are therefore called explicit problems.

[0118] Semi-explicit problem: Suppose that for vehicle c 1 In terms of path 1 This is its usual route, meaning it frequently moves from g1 to g5. If we cannot observe the corresponding c... 1 The travel itinerary from movement g5 to g1 within management domain A illustrates the process from movement g5 to g1, c 1 Whether traveling on surface roads or on the highway network outside management domain A, this can be considered an operational issue for both management domain A and management domain B. Such issues can also be monitored and detected within the technical system of this invention, but they are not as obvious as explicit issues, and are therefore called semi-explicit issues.

[0119] Latent problem: Suppose that for vehicle c 1 In this case, the travel routes of the individual are not within the highway network of management domain A, but management domain A has a certain capacity to meet their travel needs. The reason they do not travel within management domain A is due to competitive issues; that is, their travel within management domain A is implicit, hence the term "implicit problem." This can also be considered an operational problem of management domain A, but because it requires the introduction of other data sources, it is not within the scope of this invention. Existing technology CN115358551A provides a solution to this problem.

[0120] In this embodiment, the application generates travel itineraries for each vehicle by constructing travel data based on traffic sensing data collected by traffic collection devices on highways. By constructing the travel itinerary and the correlation between all management domains of the travel itinerary, the application achieves multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range. On the one hand, the traffic collection device has the ability to perceive the full traffic flow of the highway in a coarse-grained manner, and can construct a characterization of the complete travel itinerary of vehicles based on the sensing data, thus providing a data foundation for highway network operation analysis. On the other hand, the indicators obtained through multi-dimensional quantification can be statistically analyzed and compared with the indicator values ​​in different periods or between management domains, providing a practical data foundation for highway network operation management and optimization. Based on the analysis of this data, highway network operation strategies can be determined, providing strong support for highway network operation analysis and optimization, thereby improving highway network operation efficiency.

[0121] The following are system embodiments of this application, which can be used to execute the method embodiments of this application. For details not disclosed in the system embodiments of this application, please refer to the method embodiments of this application.

[0122] Please see Figure 3 This illustration shows a schematic diagram of the structure of a highway network operation management system provided in an exemplary embodiment of this application. The highway network operation management system can be implemented as all or part of an electronic device through software, hardware, or a combination of both. System 1 includes a trip data acquisition module 10, an operation management domain acquisition module 20, a correlation construction module 30, a multi-dimensional quantification module 40, and an optimization module 50.

[0123] The trip data acquisition module 10 is used to acquire and preprocess the trip data of each vehicle within a preset period to obtain the travel trip of each vehicle; the trip data is constructed based on the traffic sensing data collected by the traffic collection equipment on the highway;

[0124] The operation management domain acquisition module 20 is used to acquire the set of operation management domains associated with each traffic collection device in the travel itinerary, and obtain all management domains of the travel itinerary;

[0125] The correlation construction module 30 is used to construct the correlation between travel itineraries and all management domains of travel itineraries, and to perform operational scenario escaping on the relationships between management domains in all management domains to obtain the escaping results;

[0126] The multi-dimensional quantification module 40 is used to quantify the operational functions of each management domain within a preset monitoring time range based on the escaping results, and obtain multiple quantitative analysis indicators for each management domain.

[0127] The optimization module 50 is used to statistically analyze and compare the index values ​​in different periods or between management domains based on multiple quantitative analysis indicators of each management domain, and determine the highway network operation strategy based on the changes in index values.

[0128] It should be noted that the highway network operation management system provided in the above embodiments is only illustrated by the division of the above functional modules when executing the highway network operation management method. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment can be divided into different functional modules to complete all or part of the functions described above. In addition, the highway network operation management system and the highway network operation management method embodiments provided in the above embodiments belong to the same concept, and the implementation process is detailed in the method embodiments, which will not be repeated here.

[0129] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0130] In this embodiment, the application generates travel itineraries for each vehicle by constructing travel data based on traffic sensing data collected by traffic collection devices on highways. By constructing the travel itinerary and the correlation between all management domains of the travel itinerary, the application achieves multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range. On the one hand, the traffic collection device has the ability to perceive the full traffic flow of the highway in a coarse-grained manner, and can construct a characterization of the complete travel itinerary of vehicles based on the sensing data, thus providing a data foundation for highway network operation analysis. On the other hand, the indicators obtained through multi-dimensional quantification can be statistically analyzed and compared with the indicator values ​​in different periods or between management domains, providing a practical data foundation for highway network operation management and optimization. Based on the analysis of this data, highway network operation strategies can be determined, providing strong support for highway network operation analysis and optimization, thereby improving highway network operation efficiency.

[0131] This application also provides a computer-readable medium having program instructions stored thereon, which, when executed by a processor, implement the highway network operation and management method provided in the above-described method embodiments.

[0132] This application also provides a computer program product containing instructions that, when run on a computer, causes the computer to execute the highway network operation and management methods described in the various method embodiments above.

[0133] Please see Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0134] The communication bus 1002 is used to realize the connection and communication between these components.

[0135] The user interface 1003 may include a display screen and a camera. Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0136] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0137] The processor 1001 may include one or more processing cores. The processor 1001 connects to various parts within the electronic device 1000 using various interfaces and lines. It executes various functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and by calling data stored in the memory 1005. Optionally, the processor 1001 may be implemented using at least one hardware form selected from Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1001 may integrate one or more of the following: a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content to be displayed on the screen; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip, without being integrated into the processor 1001.

[0138] The memory 1005 may include random access memory (RAM) or read-only memory. Optionally, the memory 1005 may include a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 1005 may also be at least one storage system located remotely from the aforementioned processor 1001. Figure 4 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a highway network operation and management application.

[0139] exist Figure 4 In the illustrated electronic device 1000, the user interface 1003 is mainly used to provide an input interface for the user and to obtain user input data; while the processor 1001 can be used to call the highway network operation management application stored in the memory 1005 and specifically perform the following operations:

[0140] The travel data of each vehicle within a preset period is acquired and preprocessed to obtain the travel itinerary of each vehicle; the travel data is constructed based on the traffic flow sensing data collected by traffic flow collection equipment on the highway.

[0141] Obtain the set of management domains associated with each traffic collection device in the travel itinerary, and obtain all management domains corresponding to the travel itinerary;

[0142] Construct the relationships between travel itineraries and all management domains of travel itineraries, and perform operational scenario escaping on the relationships between management domains in all management domains to obtain the escaping results;

[0143] Based on the escaping results, the operational functions of each management domain within the preset monitoring time range are quantified in multiple dimensions to obtain multiple quantitative analysis indicators for each management domain.

[0144] Based on multiple quantitative analysis indicators for each management domain, the indicator values ​​within different periods or between management domains are statistically compared, and the highway network operation strategy is determined according to the changes in indicator values.

[0145] In one embodiment, when the processor 1001 executes the process of constructing the relationship between all management domains of the travel itinerary and performing operational scenario escaping on the relationship between each management domain in all management domains to obtain the escaping result, it specifically performs the following operations:

[0146] The matching calculation is performed between each management domain in all management domains of the travel itinerary and the travel itinerary to obtain the matching calculation result corresponding to each management domain and the travel itinerary;

[0147] Based on the matching calculation results between each management domain and the corresponding travel itinerary, the relationship between the travel itinerary and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain are determined.

[0148] The relationship between travel itineraries and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain are used as the transformation results of the operation scenario.

[0149] In one embodiment, when the processor 1001 performs a matching calculation between each management domain in all management domains of a travel itinerary and the travel itinerary to obtain the matching calculation result corresponding to each management domain and the travel itinerary, it specifically performs the following operations:

[0150] The first management domain is matched with the travel itinerary to determine whether all traffic sensing devices within each segment of the travel itinerary belong to the first management domain and whether all other traffic sensing devices outside each segment of the travel itinerary do not belong to the first management domain; the first management domain is each management domain among all management domains of the travel itinerary;

[0151] If so, determine that the first management domain matches each segment sequence, and generate the matching calculation result for each management domain and the corresponding travel itinerary.

[0152] In one embodiment, when processor 1001 executes the matching calculation results corresponding to each management domain and the travel trip to determine the relationship between the travel trip and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain, it specifically performs the following operations:

[0153] From the matching calculation results corresponding to each management domain and the travel itinerary, obtain the location type of each management domain in the travel itinerary;

[0154] Determine the relationship between the travel itinerary and each administrative domain based on the location type;

[0155] For any two management domains in all management domains, if the location type of the first management domain in the travel itinerary is origin and the location type of the second management domain in the travel itinerary is destination, then generate a traffic demand from the first management domain to the second management domain with a target capacity; or if the location type of any two management domains in the travel itinerary is both within the domain, generate traffic demands for the first management domain and the second management domain respectively.

[0156] For any three management domains in all management domains, if the location type of the first management domain in the travel itinerary is the departure type, the location type of the second management domain in the travel itinerary is the arrival type, and the location type of the third management domain in the travel itinerary is the transit type, generate the functional quantification results between the third management domain, the first management domain, and the second management domain.

[0157] After all management domain analyses are completed based on the above process, the relationship between travel itineraries and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain are obtained.

[0158] In one embodiment, when the processor 1001 performs multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range based on the escaping result to obtain multiple quantitative analysis indicators for each management domain, the processor specifically performs the following operations:

[0159] Based on the traffic demand between each management domain, the results of all vehicles in the road network within the preset monitoring time range of the first target management domain and the second target management domain are summarized to obtain the traffic demand and traffic frequency from the first target management domain to the second target management domain.

[0160] Based on the functional quantification results of each management domain, the results of all vehicles in the road network within the preset monitoring time range of the third target management domain are summarized to obtain the functional quantification results and traffic frequency of the third target management domain; the first target management domain, the second target management domain, and the third target management domain are any three management domains in each management domain;

[0161] For the traffic demand from the first target management domain to the second target management domain, if the sub-management domains in the third target management domain are respectively on the paths corresponding to the first target management domain and the second target management domain, then it is determined that there is a competitive relationship between the sub-management domains in the third target management domain and the first and second target management domains, and a competitive relationship between the sub-management domains in the third target management domain is generated.

[0162] The functional internalization distribution of the third target management domain is constructed such that the third target management domain satisfies the traffic demand from the first target management domain to the second target management domain and satisfies the traffic demand with other management domains.

[0163] Construct a functional externalization distribution for the third target management domain, whereby the third target management domain satisfies the traffic demand from the first target management domain to the second target management domain or satisfies the traffic demand where other management domains exist;

[0164] Construct the vehicle's contribution to each management domain;

[0165] The user's level is determined based on the number of times the vehicle travels through each management domain and the mileage traveled.

[0166] The parameters determined above will be used as multiple quantitative analysis indicators for each management domain.

[0167] In one embodiment, when processor 1001 executes the action of building user contributions to each management domain, it specifically performs the following operations:

[0168] Determine the contribution of each vehicle to the number of trips in each management domain within the preset monitoring time range;

[0169] Determine the mileage contribution of each vehicle to each management domain within the preset monitoring time range;

[0170] Determine the contribution of each vehicle to the traffic volume of each management area within the preset monitoring time range;

[0171] Determine the contribution of each vehicle to the turnover of each management domain within the preset monitoring time range;

[0172] The parameters determined above will be used as the user's contribution to each management domain.

[0173] In one embodiment, when the processor 1001 executes multiple quantitative analysis indicators based on each management domain, statistically compares the indicator values ​​within different periods or between management domains, and determines the highway network operation strategy based on the changes in indicator values, it specifically performs the following operations:

[0174] Compare the changes in traffic frequency and user level of multiple quantitative analysis indicators in different management domains over different periods or between management domains.

[0175] Based on the changes in the aforementioned multiple quantitative analysis indicators within different periods or across management domains, operational problems existing in the highway network are identified;

[0176] Determine the operational strategy for the highway network based on the aforementioned operational issues.

[0177] In one embodiment, when processor 1001 executes the determination of highway network operation strategy based on changes in the indicator values, it specifically performs the following operations:

[0178] When the distance between the highway exit of the first vehicle trip and the highway entrance of the second vehicle trip in two adjacent vehicle trips is greater than a preset threshold, and there is at least one path in each management domain that satisfies the trip, it is determined that there is room for optimization in the operation between the highway exit of the first vehicle trip and the highway entrance of the second vehicle trip, thus triggering differentiated operation of the highway network.

[0179] The differentiated operation will be used as the operation strategy for the highway network.

[0180] In this embodiment, the application generates travel itineraries for each vehicle by constructing travel data based on traffic sensing data collected by traffic collection devices on highways. By constructing the travel itinerary and the correlation between all management domains of the travel itinerary, the application achieves multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range. On the one hand, the traffic collection device has the ability to perceive the full traffic flow of the highway in a coarse-grained manner, and can construct a characterization of the complete travel itinerary of vehicles based on the sensing data, thus providing a data foundation for highway network operation analysis. On the other hand, the indicators obtained through multi-dimensional quantification can be statistically analyzed and compared with the indicator values ​​in different periods or between management domains, providing a practical data foundation for highway network operation management and optimization. Based on the analysis of this data, highway network operation strategies can be determined, providing strong support for highway network operation analysis and optimization, thereby improving highway network operation efficiency.

[0181] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The highway network operation and management program can be stored in a computer-readable storage medium. When executed, the program can include the processes of the embodiments of the above methods. The storage medium for the highway network operation and management program can be a magnetic disk, optical disk, read-only memory, or random access memory, etc.

[0182] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A method for highway network operation and management, characterized in that, The method includes: The travel data of each vehicle within a preset period is acquired and preprocessed to obtain the travel itinerary of each vehicle; the travel data is constructed based on the traffic flow sensing data collected by traffic flow acquisition equipment on the highway. Obtain the set of management domains associated with each traffic collection device in the travel itinerary, and obtain all management domains corresponding to the travel itinerary; The process involves constructing the relationships between the travel itinerary and all its management domains, and then performing operational scenario escaping on the relationships between the management domains to obtain the escaping results. This includes: performing a matching calculation between each management domain and the travel itinerary to obtain a matching calculation result for each management domain; obtaining the location type of each management domain in the travel itinerary from the matching calculation results; determining the relationship between the travel itinerary and each management domain based on the location type; determining the traffic demand between management domains and the functional quantification results of each management domain; and using the relationship between the travel itinerary and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain as the escaping results of the operational scenario escaping. Based on the escape results, the operational functions of each management domain within the preset monitoring time range are quantified in multiple dimensions to obtain multiple quantitative analysis indicators for each management domain. Based on multiple quantitative analysis indicators for each management domain, the indicator values ​​within different periods or between management domains are statistically analyzed and compared, and the highway network operation strategy is determined based on the changes in the indicator values.

2. The method according to claim 1, characterized in that, The step of matching each management domain in all management domains of the travel itinerary with the travel itinerary to obtain the matching result corresponding to each management domain and the travel itinerary includes: The first management domain is matched with the travel itinerary to determine whether all traffic sensing devices in each segment of the travel itinerary belong to the first management domain and whether all other traffic sensing devices outside each segment of the travel itinerary do not belong to the first management domain; the first management domain is each management domain in all management domains of the travel itinerary; If so, determine that the first management domain matches each segment sequence, and generate a matching calculation result for each management domain and the travel itinerary.

3. The method according to claim 1, characterized in that, Determine the traffic demand between each management domain and the functional quantification results of each management domain, including: For any two management domains among all the management domains, if the location type of the first management domain in the trip is origin and the location type of the second management domain in the trip is destination, then a traffic demand from the first management domain to the second management domain with a target capacity is generated; or if the location type of any two management domains in the trip is both within the domain, then traffic demands for the first management domain and the second management domain are generated respectively. For any three management domains among all the management domains, if the location type of the first management domain in the travel itinerary is the departure type, the location type of the second management domain in the travel itinerary is the arrival type, and the location type of the third management domain in the travel itinerary is the transit type, generate the functional quantification results between the third management domain, the first management domain, and the second management domain. After all the management domain analyses described above are completed, the relationship between the travel itinerary and each management domain, the traffic demand between management domains, and the functional quantification results of each management domain are obtained.

4. The method according to claim 1, characterized in that, Based on the escape result, the operational functions of each management domain within a preset monitoring time range are quantified in multiple dimensions to obtain multiple quantitative analysis indicators for each management domain, including: Based on the traffic demand between the management domains, the results of all vehicles in the road network within the preset monitoring time range of the first target management domain and the second target management domain are summarized to obtain the traffic demand and traffic frequency from the first target management domain to the second target management domain. Based on the functional quantification results of each management domain, the results of all vehicles in the road network within the preset monitoring time range of the third target management domain are summarized to obtain the functional quantification results and traffic frequency of the third target management domain; the first target management domain, the second target management domain, and the third target management domain are any three of the management domains; For the traffic demand from the first target management domain to the second target management domain, if the sub-management domains in the third target management domain are respectively on the paths corresponding to the first target management domain and the second target management domain, then it is determined that there is a competitive relationship between the sub-management domains in the third target management domain and the first target management domain and the second target management domain, and the competitive relationship between the sub-management domains in the third target management domain is generated. The functional internalization distribution of the third target management domain is constructed, wherein the third target management domain satisfies the traffic demand from the first target management domain to the second target management domain and satisfies the traffic demand with other management domains; The functional externalization distribution of the third target management domain is constructed, wherein the functional externalization distribution is such that the third target management domain satisfies the traffic demand from the first target management domain to the second target management domain or satisfies the traffic demand where other management domains exist; Construct the vehicle's contribution to each management domain; The user's level is determined based on the number of times the vehicle travels through each management domain and the mileage traveled. The parameters determined above are used as multiple quantitative analysis indicators for each management domain.

5. The method according to claim 4, characterized in that, Constructing user contributions to each of the management domains, including: Determine the contribution of each vehicle to the number of trips in each management domain within the preset monitoring time range; Determine the mileage contribution of each vehicle to each management domain within the preset monitoring time range; Determine the contribution of each vehicle to the traffic volume of each management area within the preset monitoring time range; Determine the contribution of each vehicle to the turnover of each management domain within the preset monitoring time range; The parameters determined above are taken as the user's contribution to each management domain.

6. The method according to claim 1, characterized in that, The process involves statistically analyzing and comparing indicator values ​​across different periods or management domains based on multiple quantitative analysis indicators for each management domain, and determining highway network operation strategies based on changes in these indicator values. The changes in traffic frequency and user level of multiple quantitative analysis indicators for each management domain in different periods or between management domains are compared. Based on the changes in the aforementioned multiple quantitative analysis indicators within different periods or across management domains, operational problems existing in the highway network are identified; Determine the operational strategy for the highway network based on the aforementioned operational issues.

7. The method according to claim 6, characterized in that, The process of determining the highway network operation strategy based on changes in the indicator values ​​includes: When the distance between the highway exit of the first vehicle trip and the highway entrance of the second vehicle trip in two adjacent vehicle trips is greater than a preset threshold, and there is at least one path in each management domain that satisfies the trip, it is determined that there is room for optimization in the operation between the highway exit of the first vehicle trip and the highway entrance of the second vehicle trip, thus triggering differentiated operation of the highway network. The differentiated operation will be used as the operation strategy for the highway network.

8. A highway network operation and management device implemented using the method described in any one of claims 1-7, characterized in that, The device includes: The trip data acquisition module is used to acquire and preprocess the trip data of each vehicle within a preset period to obtain the travel trip of each vehicle; the trip data is constructed based on the traffic sensing data collected by traffic acquisition equipment on the highway; The operations management domain acquisition module is used to acquire the set of operations management domains associated with each traffic collection device in the trip, thereby obtaining all management domains of the trip. The correlation construction module is used to construct the correlation between the travel itinerary and all management domains of the travel itinerary, and to perform operational scenario escaping on the relationship between each management domain in all management domains to obtain the escaping result; The multi-dimensional quantification module is used to perform multi-dimensional quantification of the operational functions of each management domain within a preset monitoring time range based on the escape results, and obtain multiple quantitative analysis indicators for each management domain. The optimization module is used to statistically analyze and compare the index values ​​in different periods or between management domains based on multiple quantitative analysis indicators of each management domain, and determine the highway network operation strategy according to the changes in the index values.

9. A computer storage medium, characterized in that, The computer storage medium stores a plurality of instructions adapted for loading by a processor and executing the method steps as claimed in any one of claims 1-7.

10. A terminal, characterized in that, include: A processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and executed the method steps as claimed in any one of claims 1-7.

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