A vehicle travel diversion method and system based on vehicle travel characteristic analysis

Abstract

The application discloses a vehicle travel diversion method and system based on vehicle travel characteristic analysis, and relates to the technical field of highway toll operation. The method comprises the following steps: determining a target vehicle which simultaneously has a low-frequency highway passing characteristic and a high-frequency national road passing characteristic; obtaining travel information of the target vehicle, analyzing driving habits of the target vehicle according to the travel information, and generating portrait information of the target vehicle according to the travel information and the driving habits; generating a travel diversion strategy of the target vehicle according to the portrait information; and diverting the target vehicle according to the travel diversion strategy. The application quickly finds the target vehicle of highway diversion through travel characteristics, accurately portraits the vehicle, analyzes the travel habits of the vehicle, and specifically proposes a travel diversion strategy, so that the vehicle can be effectively diverted, and the blank of the current highway section owner diversion technology and method is made up.

Description

Technical Field

[0001] This invention relates to the field of highway toll operation technology, and in particular to a method and system for diverting vehicle traffic based on vehicle travel characteristic analysis. Background Technology

[0002] Differential toll collection on highways refers to charging different fees for vehicles traveling on highways based on different road sections, vehicle types, entrances / exits, and payment methods. The aim is to guide the travel behavior of road users, reduce freight costs, and improve the efficiency of the freight market.

[0003] Currently, existing technologies mainly focus on the optimal driving routes for vehicles, the efficiency of toll standards, and rate adjustments. They generally implement a strategy of decreasing rates with increasing distance and differentiated tolling for specific vehicle types and road sections by road segment and time period. The result is a universal, undifferentiated discount for all vehicles, but they have failed to develop relevant technologies from the perspective of how to attract vehicles and generate revenue for highway operators. Summary of the Invention

[0004] The present invention aims to address the problem that existing differentiated toll collection methods for highways cannot effectively divert traffic to specific vehicles. To solve the above-mentioned technical problem, the present invention provides a vehicle traffic diversion method and system based on vehicle travel characteristic analysis.

[0005] The first aspect provides a method for guiding vehicle travel based on vehicle travel characteristic analysis, including:

[0006] Identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics;

[0007] Obtain the travel information of the target vehicle, analyze the driving habits of the target vehicle based on the travel information, and generate a profile of the target vehicle based on the travel information and the driving habits;

[0008] A travel guidance strategy for the target vehicle is generated based on the profile information;

[0009] The target vehicles are directed to the destination according to the aforementioned travel diversion strategy.

[0010] In one possible implementation of the first aspect, a target vehicle that simultaneously possesses low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics is identified, specifically including:

[0011] Acquire BeiDou data from multiple vehicles, and determine the travel frequency, highway travel distance, and national highway travel distance for each vehicle based on the BeiDou data;

[0012] Identify vehicles with high travel frequency exceeding a preset threshold;

[0013] Sort all vehicles with high travel frequency in ascending order of highway travel distance to obtain a highway travel list, and then sort them in descending order of national highway travel distance to obtain a national highway travel list.

[0014] Based on the highway travel list and the national highway travel list, target vehicles that simultaneously exhibit low-frequency highway travel characteristics and high-frequency national highway travel characteristics are identified.

[0015] In one possible implementation of the first aspect, target vehicles exhibiting both low-frequency highway travel characteristics and high-frequency national highway travel characteristics are determined based on the highway travel list and the national highway travel list, specifically including:

[0016] The top N most frequently traveling vehicles in the highway travel list are identified as the first vehicle set.

[0017] The top N most frequently traveling vehicles in the national highway travel list are identified as the second vehicle set;

[0018] Duplicate vehicles in the first vehicle set and the second vehicle set are considered as target vehicles that simultaneously possess low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, where N > 1.

[0019] In one possible implementation of the first aspect, the travel information includes: travel itinerary, number of trips, travel time, and travel speed.

[0020] In one possible implementation of the first aspect, the profile information includes: travel patterns on national highways and expressways, travel time patterns, refueling and stopping patterns, driving speed patterns, and the individual and company to which the profile belongs.

[0021] Secondly, a vehicle travel diversion system based on vehicle travel characteristic analysis is provided, including:

[0022] The target vehicle acquisition unit is used to identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics.

[0023] The vehicle profile generation unit is used to acquire the travel information of the target vehicle, analyze the driving habits of the target vehicle based on the travel information, and generate profile information of the target vehicle based on the travel information and the driving habits.

[0024] A traffic diversion strategy generation unit is used to generate a travel diversion strategy for the target vehicle based on the profile information.

[0025] The vehicle diversion unit is used to divert the target vehicle according to the travel diversion strategy.

[0026] In one possible implementation of the second aspect, the target vehicle acquisition unit is specifically used to acquire BeiDou data of multiple vehicles, determine the travel frequency, highway travel distance, and national highway travel distance of each vehicle based on the BeiDou data; identify high-frequency vehicles whose travel frequency exceeds a preset threshold; sort all high-frequency vehicles in ascending order of highway travel distance to obtain a highway travel list, and sort them in descending order of national highway travel distance to obtain a national highway travel list; and determine target vehicles that simultaneously possess low-frequency highway travel characteristics and high-frequency national highway travel characteristics based on the highway travel list and the national highway travel list.

[0027] In one possible implementation of the second aspect, the target vehicle acquisition unit is specifically used to determine the top N high-frequency vehicles in the highway travel list as a first vehicle set; determine the top N high-frequency vehicles in the national highway travel list as a second vehicle set; and take the duplicate vehicles in the first vehicle set and the second vehicle set as target vehicles that simultaneously have low-frequency highway travel characteristics and high-frequency national highway travel characteristics, where N > 1.

[0028] In one possible implementation of the second aspect, the travel information includes: travel itinerary, number of trips, travel time, and travel speed.

[0029] In one possible implementation of the second aspect, the profile information includes: travel patterns on national highways and expressways, travel time patterns, refueling and stopping patterns, driving speed patterns, and the individual and company to which the profile belongs.

[0030] By quickly identifying target vehicles for traffic diversion on highways based on travel characteristics, creating precise vehicle profiles, analyzing vehicle travel habits, and proposing targeted traffic diversion strategies, traffic can be effectively diverted, filling the current gap in traffic diversion technology and methods for highway owners.

[0031] Furthermore, by targeting vehicles that exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, it is possible to accurately identify target vehicles with high traffic-generating value. Combined with vehicle behavior and habit profiles, it is possible to truly implement differentiated strategies tailored to local conditions and road conditions, achieving a win-win revenue-increasing model for both road operators and vehicle owners.

[0032] The advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0033] Figure 1 A flowchart illustrating an embodiment of the vehicle traffic diversion method of the present invention;

[0034] Figure 2 A schematic diagram of the target vehicle determination process provided for an embodiment of the vehicle traffic diversion method of the present invention;

[0035] Figure 3 This is a schematic diagram of the vehicle profile generation process provided for an embodiment of the vehicle travel diversion method of the present invention. Detailed Implementation

[0036] The principles and features of the present invention are described below with reference to the accompanying drawings. The embodiments described are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0037] To fill the gap in current technologies and methods for attracting traffic to highway sections and to build a marketing system, this invention provides a method and system for analyzing vehicle travel characteristics based on the travel characteristics data of highway and national / provincial trunk line users. This method identifies target vehicles with high traffic attraction value and meets the practical application needs of road section operation and management units to increase revenue.

[0038] The following examples illustrate this.

[0039] like Figure 1 The diagram shown is a flowchart illustrating an embodiment of the vehicle travel diversion method of the present invention. This vehicle travel diversion method based on vehicle travel characteristic analysis includes:

[0040] Identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics;

[0041] For example, such as Figure 1 As shown, vehicle traffic data can be obtained, and the characteristics of national highway travel and expressway travel can be determined based on the vehicle traffic data. Then, high-frequency travel vehicles on national highways and low-frequency travel vehicles on expressways can be screened out respectively, thereby obtaining target vehicles with low-frequency expressway travel characteristics and high-frequency national highway travel characteristics.

[0042] Obtain travel information of the target vehicle, analyze the driving habits of the target vehicle based on the travel information, and generate a profile of the target vehicle based on the travel information and driving habits.

[0043] Optionally, BeiDou data can be extracted from the National Key Operating Vehicle Network Control System and the National Road Freight Vehicle Public Supervision and Service Platform. Based on the travel information such as vehicle travel frequency, number of trips, travel time, vehicle origin, and travel speed analyzed from the BeiDou data, the driving habits of the target vehicle can be analyzed to generate a profile of the target vehicle.

[0044] Optionally, vehicle driving habit analysis can be performed from different dimensions such as travel itinerary, number of trips, travel time, and travel speed to output profile information such as the company to which the vehicle belongs and the vehicle's driving habits.

[0045] It should be understood that the content included in the portrait can be set according to actual needs, for example, such as Figure 3 As shown, a vehicle profile can include travel patterns, refueling patterns, traffic violations, and the transportation company it belongs to. Among these, travel patterns can be further refined into travel route patterns, travel time patterns, and so on.

[0046] Taking travel patterns as an example, the proportion of travel on highways and national roads can be calculated by dividing the number of times a vehicle travels on highways and national roads within a certain time period by the total number of trips. Vehicles with a high proportion of national roads are defined as high-frequency national road vehicles, and vehicles with a high proportion of highways are defined as high-frequency highway vehicles.

[0047] Taking travel time patterns as an example, we can determine the number of trips a vehicle makes within a certain period, divided into different time periods such as 0-6, 6-12, 12-18, and 18-24. We can then determine the proportion of trips made in each time period to the total number of trips made throughout the day. If the proportion made in 0-6 or 18-24 is relatively high, the vehicle is labeled as a nighttime travel vehicle.

[0048] The method for determining the remaining portrait tags is the same and will not be repeated here.

[0049] It should be understood that, such as Figure 3 As shown, the data used to generate vehicle profiles is divided into static data and dynamic data. Static data can be pre-acquired data, such as the transportation company to which the vehicle belongs and its historical travel patterns. Dynamic data can be real-time collected data, such as the vehicle's real-time travel speed and travel time.

[0050] Generate a travel guidance strategy for the target vehicle based on the profile information;

[0051] Based on vehicle profiles, targeted marketing strategies can be developed. For example, vehicles that frequently travel on national highways and at night are less likely to use expressways. Targeted marketing to these vehicles or the transportation companies behind them can be achieved by offering toll discounts, with even greater discounts at night, to attract these vehicles to the road and drive traffic to the target market.

[0052] The target vehicles are directed to the destination based on the travel diversion strategy.

[0053] It should be understood that promotional information can be generated and sent to drivers via apps or SMS, thereby encouraging them to travel based on the traffic generation strategy.

[0054] This embodiment quickly identifies target vehicles for traffic diversion on highways by analyzing travel characteristics, creates precise vehicle profiles, analyzes vehicle travel habits, and proposes targeted traffic diversion strategies. This effectively diverts traffic and fills the gap in current highway section owners' traffic diversion technologies and methods.

[0055] Furthermore, by targeting vehicles that exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, it is possible to accurately identify target vehicles with high traffic-generating value. Combined with vehicle behavior and habit profiles, it is possible to truly implement differentiated strategies tailored to local conditions and road conditions, achieving a win-win revenue-increasing model for both road operators and vehicle owners.

[0056] Alternatively, in some possible implementations, such as Figure 2 As shown, target vehicles exhibiting both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics are identified, specifically including:

[0057] Acquire BeiDou data from multiple vehicles, and determine the travel frequency, highway travel distance, and national highway travel distance for each vehicle based on the BeiDou data;

[0058] Identify vehicles with high travel frequency exceeding a preset threshold;

[0059] Sort all vehicles with high travel frequency in ascending order of highway travel distance to obtain a highway travel list, and then sort them in descending order of national highway travel distance to obtain a national highway travel list.

[0060] Based on the highway travel list and the national highway travel list, target vehicles that simultaneously exhibit both low-frequency highway travel characteristics and high-frequency national highway travel characteristics are identified.

[0061] It should be noted that a highway travel trip refers to the journey from a vehicle entering the highway at a toll station, passing through the gantry, and exiting the highway at the toll station. The time for one trip is the vehicle's travel time, and the trip divided by the travel time is the vehicle's speed.

[0062] The national highway travel trip refers to the journey of a vehicle through designated key checkpoints on national and provincial trunk lines. The time of one trip is the vehicle travel time, and the trip divided by the travel time is the vehicle speed.

[0063] For example, such as Figure 2 As shown, the intersection of the reverse list of highway trips and the forward list of national highway trips can be determined, which is the target vehicle.

[0064] By identifying target vehicles using the method described in this embodiment, it is possible to accurately locate target vehicles with high traffic-generating value.

[0065] Optionally, in some possible implementations, target vehicles exhibiting both low-frequency highway travel characteristics and high-frequency national highway travel characteristics are identified based on highway travel lists and national highway travel lists, specifically including:

[0066] Identify the top N most frequently used vehicles in the highway travel list and use them as the first vehicle set.

[0067] Identify the top N most frequently traveling vehicles in the national highway travel list and use them as the second vehicle set;

[0068] The duplicate vehicles in the first vehicle set and the second vehicle set are considered as target vehicles that simultaneously possess low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, where N > 1.

[0069] The above methods can quickly locate target vehicles for highway traffic diversion, thus facilitating accurate vehicle profiling.

[0070] Optionally, in some possible implementations, travel information includes: travel route, number of trips, travel time, and travel speed.

[0071] Optionally, in some possible implementations, the profile information includes: travel patterns on national highways and expressways, travel time patterns, refueling and stopping patterns, driving speed patterns, and the individual and company to which the profile belongs.

[0072] This invention also provides a vehicle travel diversion system based on vehicle travel characteristic analysis, comprising:

[0073] The target vehicle acquisition unit is used to identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics.

[0074] The vehicle profile generation unit is used to obtain the travel information of the target vehicle, analyze the driving habits of the target vehicle based on the travel information, and generate profile information of the target vehicle based on the travel information and driving habits.

[0075] The traffic generation strategy unit is used to generate traffic generation strategies for target vehicles based on the profile information.

[0076] The vehicle diversion unit is used to divert target vehicles according to the travel diversion strategy.

[0077] This embodiment quickly identifies target vehicles for traffic diversion on highways by analyzing travel characteristics, creates precise vehicle profiles, analyzes vehicle travel habits, and proposes targeted traffic diversion strategies. This effectively diverts traffic and fills the gap in current highway section owners' traffic diversion technologies and methods.

[0078] Furthermore, by targeting vehicles that exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, it is possible to accurately identify target vehicles with high traffic-generating value. Combined with vehicle behavior and habit profiles, it is possible to truly implement differentiated strategies tailored to local conditions and road conditions, achieving a win-win revenue-increasing model for both road operators and vehicle owners.

[0079] Optionally, in some possible implementations, the target vehicle acquisition unit is specifically used to acquire BeiDou data of multiple vehicles, determine the travel frequency, highway travel distance, and national highway travel distance of each vehicle based on the BeiDou data; identify high-frequency vehicles whose travel frequency exceeds a preset threshold; sort all high-frequency vehicles in ascending order of highway travel distance to obtain a highway travel list, and sort them in descending order of national highway travel distance to obtain a national highway travel list; and identify target vehicles that simultaneously possess low-frequency highway travel characteristics and high-frequency national highway travel characteristics based on the highway travel list and the national highway travel list.

[0080] Optionally, in some possible implementations, the target vehicle acquisition unit is specifically used to determine the top N high-frequency vehicles in the highway travel list as a first vehicle set; determine the top N high-frequency vehicles in the national highway travel list as a second vehicle set; and take the duplicate vehicles in the first vehicle set and the second vehicle set as target vehicles that simultaneously have low-frequency highway travel characteristics and high-frequency national highway travel characteristics, where N>1.

[0081] Optionally, in some possible implementations, travel information includes: travel route, number of trips, travel time, and travel speed.

[0082] Optionally, in some possible implementations, the profile information includes: travel patterns on national highways and expressways, travel time patterns, refueling and stopping patterns, driving speed patterns, and the individual and company to which the profile belongs.

[0083] It should be understood that the above implementation methods are product implementation methods corresponding to the prior method implementation methods. For a description of the product implementation methods, please refer to the description of the prior method implementation methods, which will not be repeated here.

[0084] It should be understood that, without departing from the concept of the present invention, those skilled in the art can combine the above embodiments in any way, and all such combinations are within the protection scope of the present invention.

[0085] Readers should understand that in the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0086] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the method embodiments described above are merely illustrative. For instance, the division of steps is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple steps may be combined or integrated into another step, or some features may be ignored or not executed.

[0087] If the above methods are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0088] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for diverting vehicle traffic based on vehicle travel characteristic analysis, characterized in that, include: Identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics. Obtain the travel information of the target vehicle, analyze the driving habits of the target vehicle based on the travel information, and generate a profile of the target vehicle based on the travel information and the driving habits; The travel information includes: travel itinerary, number of trips, travel time, and travel speed; A travel guidance strategy for the target vehicle is generated based on the vehicle profile information; The target vehicles are directed to the destination according to the aforementioned travel diversion strategy; Identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, specifically including: Acquire BeiDou data from multiple vehicles, and determine the travel frequency, highway travel distance, and national highway travel distance for each vehicle based on the BeiDou data; Identify vehicles with high travel frequency exceeding a preset threshold; Sort all vehicles with high travel frequency in ascending order of highway travel distance to obtain a highway travel list, and then sort them in descending order of national highway travel distance to obtain a national highway travel list. Based on the expressway travel list and the national highway travel list, target vehicles that simultaneously exhibit low-frequency expressway travel characteristics and high-frequency national highway travel characteristics are identified; The target vehicles are determined based on the aforementioned highway travel list and the aforementioned national highway travel list, specifically including: The top N most frequently traveling vehicles in the highway travel list are identified as the first vehicle set, where N > 1; Identify the top N most frequently traveling vehicles in the national highway travel list and use them as the second vehicle set, where N > 1; Duplicate vehicles in the first vehicle set and the second vehicle set are considered as target vehicles that simultaneously possess low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics. The profile information includes: travel patterns on national highways and expressways, travel time patterns, refueling and stopping patterns, driving speed patterns, and the individual to whom the profile belongs.

2. A vehicle travel diversion system based on vehicle travel characteristic analysis, characterized in that, include: The target vehicle acquisition unit is used to identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics. The vehicle profile generation unit is used to acquire the travel information of the target vehicle, analyze the driving habits of the target vehicle based on the travel information, and generate profile information of the target vehicle based on the travel information and the driving habits. The travel information includes: travel itinerary, number of trips, travel time, and travel speed; A traffic diversion strategy generation unit is used to generate a travel diversion strategy for the target vehicle based on the vehicle profile information. A vehicle diversion unit is used to divert the target vehicle according to the travel diversion strategy. The target vehicle may freely travel on the expressway within the agreed-upon area and time period, and the expressway toll section management unit shall provide it with passage services in accordance with the agreement. Identify target vehicles that simultaneously exhibit both low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics, specifically including: Acquire BeiDou data from multiple vehicles, and determine the travel frequency, highway travel distance, and national highway travel distance for each vehicle based on the BeiDou data; Identify vehicles with high travel frequency exceeding a preset threshold; Sort all vehicles with high travel frequency in ascending order of highway travel distance to obtain a highway travel list, and then sort them in descending order of national highway travel distance to obtain a national highway travel list. Based on the expressway travel list and the national highway travel list, target vehicles that simultaneously exhibit low-frequency expressway travel characteristics and high-frequency national highway travel characteristics are identified; The target vehicles are determined based on the aforementioned highway travel list and the aforementioned national highway travel list, specifically including: The top N most frequently traveling vehicles in the highway travel list are identified as the first vehicle set, where N > 1; Identify the top N most frequently traveling vehicles in the national highway travel list and use them as the second vehicle set, where N > 1; Duplicate vehicles in the first vehicle set and the second vehicle set are considered as target vehicles that simultaneously possess low-frequency highway traffic characteristics and high-frequency national highway traffic characteristics. The profile information includes: travel patterns on national highways and expressways, travel time patterns, refueling and stopping patterns, driving speed patterns, and the individual to whom the profile belongs.

Images