Intelligent traffic flow line optimization driving behavior adjusting method and system

Abstract

The application is suitable for the field of intelligent driving adjustment technology, and provides an intelligent traffic flow line optimization driving behavior adjustment method and system.The method comprises the following steps: continuously collecting behavior characteristic data such as driver following distance, lane changing frequency and throttle smoothness, and generating aggressive or cautious driving style DNA tags; combining vehicle navigation destination and route, in vehicles sharing the main road path, an interim vehicle team containing one aggressive lead vehicle and two cautious following vehicles is formed; through the Internet of Vehicles, a team building application is sent, and after the confirmation of all members, an interim cooperative vehicle team is established and an exclusive cooperative route is planned; the lead vehicle broadcasts lane changing, speed change and other control instructions, the vehicle team is regarded as a whole to calculate the cooperative safety space, the instruction transmission interval is dynamically set, and a unified driving strategy is generated.The application realizes vehicle complementary cooperation, optimizes traffic flow lines, adjusts driving behavior, and improves traffic efficiency and safety.

Description

Technical Field

[0001] This invention belongs to the field of intelligent driving regulation technology, and in particular relates to an intelligent traffic flow optimization driving behavior regulation method and system. Background Technology

[0002] With the rapid development of intelligent transportation technology, vehicle-to-everything (V2X), big data analytics, and driver behavior recognition technologies have been gradually applied to traffic management, aiming to solve problems such as urban traffic congestion, low traffic efficiency, and frequent traffic accidents. Currently, transportation systems are transitioning from "individual vehicles driving independently" to "multi-vehicle cooperative driving." Collecting vehicle driving data and analyzing driver operating habits to provide data support for traffic flow optimization has become an industry trend. However, significant differences in driving styles among drivers can easily lead to operational conflicts between vehicles, resulting in traffic flow disorder and affecting overall traffic efficiency. Therefore, how to achieve vehicle cooperation with complementary driving styles through technological means has become a key research direction for intelligent traffic flow optimization.

[0003] Existing technologies lack sufficient granularity in classifying driving styles, making it difficult to accurately distinguish the operational preferences of different drivers. This results in an inability to provide targeted behavioral adjustment guidance based on driving characteristics, easily leading to situations where the driver's operating rhythm does not match the overall traffic flow. In multi-vehicle scenarios, the lack of coordinated control over the driving behavior between vehicles allows independent decision-making by each vehicle to easily cause operational conflicts, such as some vehicles frequently changing lanes or some vehicles following too slowly, thereby disrupting traffic flow order and affecting overall traffic efficiency. Route planning often focuses on the shortest distance or shortest time requirement for a single vehicle, without taking into account the travel preferences of vehicles with different driving characteristics. This makes it difficult to balance the driving needs of various vehicles and easily causes concentrated traffic congestion in local road sections. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent traffic flow optimization driving behavior adjustment method, which aims to solve the technical problems existing in the prior art as identified in the background art.

[0005] This invention is implemented as follows: a method for optimizing driving behavior in intelligent traffic flow, the method comprising:

[0006] The system continuously collects driver behavior data, including following distance, lane change frequency, and throttle smoothness, and generates a driving style DNA tag for each driver based on the behavior data. The driving style DNA tag is used to characterize the driver's driving style type, including aggressive and cautious.

[0007] Based on the driving style DNA tag, and combined with the navigation destination and navigation route of the vehicle with the pre-set navigation, a temporary convoy is dynamically initiated among vehicles sharing the same main road route. The temporary convoy includes one vehicle with an aggressive driving style as the lead car and two vehicles with a cautious driving style as follow cars.

[0008] The vehicle network sends a temporary fleet formation application to the drivers of the lead vehicle and the following vehicle, and after receiving full confirmation, establishes a temporary collaborative fleet and plans a dedicated collaborative route for the temporary collaborative fleet.

[0009] The lead vehicle broadcasts real-time control commands to the following vehicles via the vehicle network. The control commands include lane change commands, speed change commands, and braking commands. At the same time, the lead vehicle and the following vehicles are regarded as a whole virtual buffer zone. The temporary cooperative vehicle fleet calculates the cooperative safety space, sets the transmission interval of control commands based on the cooperative safety space, and generates a unified driving strategy.

[0010] As a further aspect of the present invention, the step of generating a driving style DNA tag for each driver based on the behavioral feature data specifically includes:

[0011] For each vehicle, continuously collect data on following distance, lane change frequency, and throttle smoothness.

[0012] The collected following distance data, lane change frequency data, and throttle smoothness data are preprocessed, including data cleaning, outlier filtering, and data standardization, to obtain a standardized behavioral feature dataset.

[0013] Based on a standardized behavioral feature dataset, a pre-trained driving style classification model is input. The driving style classification model is obtained based on historical behavioral feature data and outputs a driving style DNA label for the current vehicle. The driving style DNA label includes an aggressive label and a cautious label.

[0014] As a further aspect of the present invention, the dynamic initiation of the formation of a temporary fleet specifically includes:

[0015] Share the current navigation data of each vehicle in the cloud, including navigation data collected from the vehicle's infotainment system and navigation data collected from mobile devices; obtain the navigation destination and navigation route data of vehicles with set navigation, and combine them with the driving style DNA tags to build a candidate vehicle set;

[0016] For a candidate vehicle set, calculate the path overlap between each vehicle in the candidate vehicle set, and filter out vehicles that share the same main road path from the candidate vehicle set;

[0017] Based on driving style DNA tags, vehicles sharing the same main road route are grouped and matched. One vehicle with an aggressive driving style is dynamically selected as the lead vehicle candidate, and two vehicles with a cautious driving style are selected as the follower vehicle candidates, forming a temporary convoy formation plan.

[0018] As a further aspect of the present invention, the establishment of a temporary collaborative vehicle fleet and the planning of a dedicated collaborative route for the temporary collaborative vehicle fleet specifically include:

[0019] The application for forming a temporary convoy is sent to the in-vehicle terminals of the corresponding lead vehicle candidate and follow vehicle candidate via vehicle-to-everything (V2X) communication. The application information for forming a temporary convoy, including the role assignment of convoy members and the expected driving route, is displayed on the in-vehicle terminals of the lead vehicle candidate and follow vehicle candidate.

[0020] Receive and verify the confirmation responses from the lead vehicle candidate and the following vehicle candidate. When all confirmation responses are in agreement, establish a temporary collaborative fleet.

[0021] If any confirmation response is "disagree", a vehicle matching the driving style DNA tag is added from the candidate vehicle set based on the number of disagreeing confirmation responses. The temporary fleet formation application is resent and the verification process is repeated until all consents are obtained, and a temporary collaborative fleet is established.

[0022] Based on shared main road routes and real-time traffic information, dedicated collaborative routes are planned for temporary collaborative vehicle fleets, taking into account the overall traffic efficiency of the temporary collaborative vehicle fleets.

[0023] As a further aspect of the present invention, the step of setting the transmission interval of control commands based on the collaborative safety space to generate a unified driving strategy specifically includes:

[0024] Based on the real-time position and motion status of the lead vehicle and the following vehicle, the collaborative safety space of the virtual buffer zone that treats the three vehicles as a whole is calculated.

[0025] Based on the collaborative safety space and dedicated collaborative routes, a unified driving strategy is generated, which is simultaneously distributed to the lead vehicle and the following vehicle.

[0026] The system collects control command data from the lead vehicle in real time. The control command data includes lane change commands, speed change commands, and braking commands. The transmission interval of the control commands in the vehicle network is set according to the size and dynamic changes of the cooperative safety space.

[0027] As a further aspect of the present invention, the generation of a unified driving strategy specifically includes:

[0028] Based on the size and shape of the collaborative safety space, the overall usable passage area of ​​the convoy is determined, and potential traffic conflict points within the passage area are identified.

[0029] By combining route planning with real-time traffic information from dedicated collaborative routes, the geometric features and traffic flow status of the road ahead are analyzed to identify the optimal travel time and route.

[0030] Based on the dynamic changes in the collaborative safety space and the navigation requirements of the dedicated collaborative route, a coordinated operation plan is formulated, which includes unified lane change instructions, unified speed adjustment instructions, and unified following distance control.

[0031] Another object of the present invention is to provide an intelligent traffic flow optimization driving behavior adjustment system, the system comprising:

[0032] The behavioral characteristic data acquisition module is used to continuously collect the driver's behavioral characteristic data, including following distance, lane change frequency and throttle smoothness, and generate a driving style DNA tag for each driver based on the behavioral characteristic data. The driving style DNA tag is used to characterize the driver's driving style type, including aggressive and cautious.

[0033] The temporary convoy formation module is used to dynamically initiate the formation of a temporary convoy among vehicles sharing the same main road route, based on the driving style DNA tag and in combination with the navigation destination and navigation route of the vehicles with pre-set navigation. The temporary convoy includes one vehicle with an aggressive driving style as the lead vehicle and two vehicles with a cautious driving style as follow vehicles.

[0034] The fleet application sending module is used to send temporary fleet formation applications to the drivers of the lead vehicle and the following vehicle via the vehicle network, and after receiving full confirmation, establish a temporary collaborative fleet and plan a dedicated collaborative route for the temporary collaborative fleet.

[0035] The real-time control command broadcasting module is used by the lead vehicle to broadcast real-time control commands to the following vehicles via the vehicle network. The control commands include lane change commands, speed change commands, and braking commands. At the same time, the lead vehicle and the following vehicles are regarded as a whole virtual buffer zone. The temporary cooperative vehicle fleet calculates the cooperative safety space, sets the transmission interval of control commands based on the cooperative safety space, and generates a unified driving strategy.

[0036] As a further embodiment of the present invention, the temporary convoy assembly module includes:

[0037] The candidate vehicle set establishment unit is used to share the current navigation data of each vehicle in the cloud, including navigation data collected from the vehicle's infotainment system and navigation data collected from the mobile device; obtain the navigation destination and navigation route data of vehicles with set navigation, and establish a candidate vehicle set in combination with the driving style DNA tag;

[0038] The path overlap calculation unit is used to calculate the path overlap between each vehicle in the candidate vehicle set and to filter vehicles that share the same main road path from the candidate vehicle set.

[0039] The vehicle formation unit is used to group and match vehicles that share the same main road route based on driving style DNA tags, dynamically select one vehicle with an aggressive driving style as a lead vehicle candidate, and select two vehicles with a cautious driving style as follower vehicle candidates to form a temporary vehicle formation scheme.

[0040] As a further embodiment of the present invention, the fleet application sending module includes:

[0041] The application sending unit is used to send the application for temporary fleet formation to the on-board terminals of the corresponding lead vehicle candidate and follow vehicle candidate via vehicle-to-everything (V2X) communication. The on-board terminals of the lead vehicle candidate and follow vehicle candidate display the application information for temporary fleet formation, including the role assignment of fleet members and the expected driving route.

[0042] The response receiving and verification unit is used to receive and verify the confirmation responses of the lead vehicle candidate and the following vehicle candidate. When all confirmation responses are in agreement, a temporary cooperative fleet is established.

[0043] The candidate vehicle replacement unit is used to replace any vehicle that matches the driving style DNA tag with a new candidate from the candidate vehicle set based on the number of dissenting confirmation responses when any confirmation response is disagreed. The temporary fleet formation application is then resent and the verification process is repeated until all consents are obtained, and a temporary collaborative fleet is established.

[0044] The collaborative route planning unit is used to plan a dedicated collaborative route for temporary collaborative vehicle fleets based on shared main road routes and real-time traffic information. The dedicated collaborative route takes into account the overall traffic efficiency of the temporary collaborative vehicle fleet.

[0045] As a further embodiment of the present invention, the real-time control command broadcasting module includes:

[0046] The safety space calculation unit is used to calculate the collaborative safety space of a virtual buffer zone that treats the three vehicles as a whole, based on the real-time position and motion status of the lead vehicle and the following vehicle.

[0047] The driving strategy generation unit is used to generate a unified driving strategy based on the collaborative safety space and the exclusive collaborative route. The unified driving strategy is simultaneously distributed to the lead vehicle and the following vehicle.

[0048] The transmission interval setting unit is used to collect the control command data of the lead vehicle in real time. The control command data includes lane change command, speed change command and braking command. Based on the size and dynamic changes of the cooperative safety space, the transmission interval of the control command in the vehicle network is set.

[0049] The beneficial effects of this invention are:

[0050] This invention, through multi-dimensional design, from micro-level vehicle collaboration to macro-level traffic flow optimization, comprehensively realizes intelligent traffic flow optimization and driving behavior adjustment, significantly improving traffic efficiency and safety. By continuously collecting behavioral data such as following distance, lane change frequency, and throttle smoothness, and through preprocessing and classification model analysis, it generates accurate driving style DNA tags, providing a scientific basis for the complementary formation of temporary convoys and avoiding traffic disorder caused by driving style conflicts.

[0051] Dynamically formed temporary convoys can leverage the keen judgment and quick decision-making of aggressive drivers to explore routes and find efficient passage paths for the convoy, while relying on the stable following operation and smooth driving habits of cautious drivers to smooth out the traffic ripple effect that may be caused by the aggressive operation of the lead vehicle and reduce the causes of congestion.

[0052] By sending a fleet application containing role assignments and expected routes to drivers through the Internet of Vehicles, the system ensures that all drivers participate voluntarily to improve coordination and cooperation. Combined with a candidate vehicle replacement mechanism, it effectively avoids fleet failures due to individual vehicles refusing to join the fleet, ensuring continuous coverage of the coordinated fleet on main roads during peak hours.

[0053] Plan dedicated collaborative routes for the fleet, prioritize route segments suitable for the overall fleet driving based on real-time traffic conditions, reduce unnecessary lane changes and congested road sections, and further improve traffic efficiency; in addition, treat the lead vehicle and following vehicles as a whole to build a virtual buffer zone and collaborative safety space, reduce interference from external vehicles cutting in, maintain the integrity of the formation, and dynamically adjust the interval of control command transmission based on the safety space to balance driving safety and efficiency and avoid problems caused by delayed or too frequent commands.

[0054] The lead vehicle broadcasts control commands and generates a unified driving strategy, enabling synchronized fleet operations. This indirectly guides aggressive drivers to make standardized decisions and cautious drivers to increase their driving confidence, allowing drivers of different styles to leverage their strengths and avoid their weaknesses. This effectively alleviates traffic congestion, reduces the risk of traffic accidents, and promotes the efficient operation of the intelligent transportation system. Attached Figure Description

[0055] Figure 1 A flowchart of an intelligent traffic flow optimization driving behavior adjustment method provided in an embodiment of the present invention;

[0056] Figure 2 A flowchart for generating a driving style DNA tag for each driver, provided for embodiments of the present invention;

[0057] Figure 3 A flowchart for dynamically initiating the formation of a temporary vehicle fleet is provided in this embodiment of the invention;

[0058] Figure 4 A flowchart for establishing a temporary collaborative vehicle fleet and planning a dedicated collaborative route for the temporary collaborative vehicle fleet, provided in an embodiment of the present invention;

[0059] Figure 5 A flowchart for generating a unified driving strategy provided for embodiments of the present invention;

[0060] Figure 6 A structural block diagram of an intelligent traffic flow optimization driving behavior adjustment system provided in an embodiment of the present invention;

[0061] Figure 7 This is a structural block diagram of the temporary fleet assembly module provided in an embodiment of the present invention;

[0062] Figure 8 This is a structural block diagram of the fleet application sending module provided in an embodiment of the present invention;

[0063] Figure 9 This is a structural block diagram of the real-time control command broadcasting module provided in an embodiment of the present invention. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0065] Figure 1 A flowchart of a method for adjusting driving behavior to optimize intelligent traffic flow, as provided in an embodiment of the present invention, is shown below. Figure 1 As shown, the method includes:

[0066] S100 continuously collects driver behavior data, including following distance, lane change frequency and throttle smoothness, and generates a driving style DNA tag for each driver based on the behavior data. The driving style DNA tag is used to characterize the driver's driving style type, including aggressive and cautious.

[0067] Throughout the vehicle's entire driving cycle, relying on hardware devices such as onboard millimeter-wave radar, front-facing camera, and body CAN bus, core behavioral characteristic data reflecting the driver's operating habits are acquired in real time. Among them, the following distance data not only records the absolute distance value, but also captures the dynamic change trend of the following distance of the vehicle in front in combination with the driving status of the vehicle in front. Only lane change operations initiated by the driver are counted, while auxiliary data such as vehicle speed and steering angle during lane change are linked to distinguish between smooth lane change and abrupt lane change. The throttle smoothness data is collected through the CAN bus to collect the rate of change of throttle pedal opening, duration, and feedback engine power output curve. For example, the frequency ratio of rapid throttle pressing (pedal opening jumps from 30% to 90% in less than 1.5 seconds) and gradual throttle pressing (same opening change in more than 4 seconds) accurately depicts the aggressiveness of the driver's control over the vehicle's power.

[0068] The standardized behavioral feature dataset is input into a pre-trained driving style classification model. This model is based on massive amounts of historical behavioral data and iteratively optimizes the traffic risk coefficients corresponding to different driving styles (such as the risk of scratches in congested sections of road and the traffic efficiency of cautious driving on highways), ultimately outputting accurate driving style DNA labels.

[0069] S200, based on the driving style DNA tag and combined with the navigation destination and navigation route of the vehicles with pre-set navigation, dynamically initiates the formation of a temporary convoy among vehicles sharing the same main road route. The temporary convoy includes one vehicle with an aggressive driving style as the lead vehicle and two vehicles with a cautious driving style as follower vehicles.

[0070] By leveraging a cloud platform to integrate and share multi-source navigation data, it not only collects navigation data from the vehicle's built-in infotainment system but also simultaneously accesses data from the driver's mobile navigation application. This eliminates route misjudgments caused by inconsistencies between the vehicle's infotainment system and the mobile navigation, ensuring that the navigation information obtained for each vehicle accurately reflects its actual driving intentions.

[0071] Based on this, a candidate set covering all vehicles with set navigation is established by combining the generated driving style DNA tags. The key to this step is to narrow down the scope for subsequent screening, avoid invalid calculations for vehicles without navigation targets or with random driving routes, and thus improve team formation efficiency.

[0072] For vehicles in the candidate set, path overlap calculations are performed. The focus of intelligent traffic flow optimization is to alleviate congestion on main roads, as these are the arteries of the urban transportation network, and their efficiency directly determines the overall traffic situation. If vehicles with routes not overlapping with main roads are grouped together, the convoy will quickly disband due to mid-journey splits, failing to achieve continuous coordination. Therefore, the length of main road segments overlapping with other vehicles in each vehicle's navigation route and the percentage of travel time on these overlapping segments are analyzed to identify vehicles sharing the same main road route.

[0073] Vehicles are grouped and matched to determine a convoy structure of 1 aggressive lead car and 2 cautious follow cars. This leverages the complementarity of driving styles to balance traffic efficiency and driving stability: aggressive drivers are typically more perceptive of road gaps and make more decisive lane-changing decisions, making them the lead car to proactively explore efficient routes on main roads and prevent the convoy from getting stuck in a slow-moving situation; while cautious drivers are better at maintaining a stable distance and smoothly maneuvering their vehicles, effectively buffering the traffic ripple effects that might be caused by the lead car's aggressive maneuvers and ensuring a smooth overall convoy trajectory.

[0074] S300 sends a temporary fleet formation application to the drivers of the lead vehicle and following vehicle via the Internet of Vehicles, and after receiving full confirmation, establishes a temporary collaborative fleet and plans a dedicated collaborative route for the temporary collaborative fleet.

[0075] Through vehicle-to-everything (V2X) communication, complete information, including the allocation of fleet member roles (clearly defining which vehicle is the lead vehicle and which two are the follower vehicles) and the expected driving route (marking the specific direction of the shared main road segment and key nodes such as interchanges or exits), is simultaneously pushed to the in-vehicle terminals of the lead vehicle and follower vehicle candidates. Drivers can clearly understand their operational responsibilities after joining the fleet and whether the driving route is consistent with their navigation needs, avoiding misjudgments or resistance caused by unclear information. After all, only when drivers accept their roles and routes will they actively cooperate in subsequent collaboration processes, reducing operational disconnect caused by passive participation.

[0076] During the response reception and verification phase, the system collects confirmation responses from each candidate vehicle in real time, using unanimous agreement as the sole criterion for establishing a temporary collaborative convoy. If any vehicle refuses, forced formation could lead to non-cooperative behavior and become a potential traffic disruption hazard. Therefore, when a dissenting response occurs, the system immediately activates a candidate vehicle replacement mechanism: based on the number of dissenting vehicles, vehicles from the previously established candidate vehicle set that perfectly match the driving style DNA tags of the rejected vehicles and meet the path overlap criteria are selected as new candidates. A new formation application containing complete information is then resent until all candidate vehicles confirm agreement. This prevents the failure of previous path overlap analysis and style matching due to the refusal of individual vehicles, ensuring that there are always sufficient temporary collaborative convoys to be successfully formed on busy main road sections, maintaining the continuity of collaborative driving and preventing localized traffic disorder caused by convoy gaps.

[0077] With the core objective of optimizing overall convoy traffic efficiency, the system combines shared main road routes with real-time traffic information for refined route customization. Dedicated collaborative routes prioritize suitability for the convoy's overall operation. In situations where traffic is heavy in the left lane and light in the middle lane on a main road segment, the system will plan a route primarily using the middle lane to avoid conflicts with other vehicles due to frequent lane changes. If there is an interchange ahead, the system will pre-mark the route with the message "The convoy needs to begin merging into the rightmost lane after x kilometers," allowing sufficient time for merging and preventing sudden braking or continuous lane changes.

[0078] S400, the lead vehicle broadcasts real-time control commands to the following vehicles via the vehicle network. The control commands include lane change commands, speed change commands, and braking commands. At the same time, the lead vehicle and the following vehicles are regarded as a whole virtual buffer zone. The temporary cooperative vehicle fleet calculates the cooperative safety space, sets the transmission interval of control commands based on the cooperative safety space, and generates a unified driving strategy.

[0079] Choosing a lead vehicle to provide real-time commands ensures the convoy's convoy is more responsive to changes in road conditions and makes faster decisions. This allows the lead vehicle to generate commands for lane changes, speed adjustments, and braking, guaranteeing timely responses and preventing missed opportunities due to decision-making delays. Simultaneously, the commands are broadcast in real-time to the two following vehicles via vehicle-to-everything (V2X) communication, along with the lead vehicle's reasoning. This allows the following vehicle drivers to understand the underlying road logic, reducing hesitation caused by information asymmetry. This transmission method significantly improves the synchronization of following vehicle operations, preventing convoy disarray caused by the lead vehicle changing lanes first and the following vehicles delaying their own lane changes.

[0080] In complex traffic environments, individual vehicles are easily cut off by other vehicles, disrupting the previously orderly following relationship. The virtual buffer zone essentially defines three vehicles as an inseparable driving unit at the system level. Based on the real-time location, size, and trajectory of the three vehicles, the system marks a virtual boundary covering them on an electronic map. This boundary serves not only as a location reference for internal convoy members but is also indirectly synchronized to the onboard terminals of surrounding vehicles via the vehicle-to-everything (V2X) network, reducing interference from external vehicles on the convoy from a spatial perspective. Once an external vehicle cuts into the convoy, the subsequent unified driving strategy cannot be executed, and the collaborative effect instantly fails. The virtual buffer zone effectively reduces the probability of cutting in, ensuring that the convoy always participates in traffic flow as a unified whole.

[0081] Based on the real-time position and movement status of the lead vehicle and following vehicles, the system dynamically calculates the cooperative safety space. This space includes not only the safety distance within the convoy but also the safety margin between the convoy and external vehicles. When the cooperative safety space dynamically adjusts due to changes in road conditions, the system simultaneously optimizes the transmission interval of control commands: if the safety space is sufficient, the transmission interval can be appropriately extended to avoid commands being too frequent and interfering with driver operations; if the safety space shrinks, the transmission interval will be shortened to ensure that emergency commands from the lead vehicle can be quickly received and executed by the following vehicles, preventing rear-end collisions. This avoids both the safety risks caused by command delays and the driver fatigue caused by excessively frequent commands, allowing the convoy to maintain a stable driving state under different road conditions.

[0082] Based on the size and shape of the collaborative safety space, the overall passable area of ​​the convoy is determined, and potential traffic conflict points within this area are identified. Then, combined with the path of the dedicated collaborative route and real-time traffic conditions, the optimal time and route for passage are analyzed. Finally, a coordinated operation plan is formulated, which includes unified lane change instructions, unified speed adjustment instructions, and unified following distance control, and is simultaneously issued to the lead vehicle and the following vehicles.

[0083] like Figure 2 As shown, the process of generating a driving style DNA tag for each driver based on the behavioral feature data specifically includes:

[0084] S110 continuously collects following distance data, lane change frequency data, and throttle smoothness data for each vehicle.

[0085] S120 preprocesses the collected following distance data, lane change frequency data, and throttle smoothness data, including data cleaning, outlier filtering, and data standardization, to obtain a standardized behavioral feature dataset.

[0086] S130, based on a standardized behavioral feature dataset, input a pre-trained driving style classification model, which is obtained based on historical behavioral feature data, and output a driving style DNA label for the current vehicle, which includes an aggressive label and a cautious label.

[0087] Specifically:

[0088] The following distance, lane change frequency, and throttle smoothness in the dataset are used as three core feature dimensions and input into the K-Means clustering model.

[0089] The rule engine interprets the centroid features of each cluster:

[0090] When the standardized following distance data of a vehicle is less than the 30th quantile of the historical data distribution, the standardized lane change frequency data is greater than the 70th quantile of the historical data distribution, and the standardized throttle smoothness data is greater than the 70th quantile of the historical data distribution, an aggressive label is output.

[0091] When the standardized following distance data of a vehicle is greater than the 70th quantile of the historical data distribution, the standardized lane change frequency data is less than the 30th quantile of the historical data distribution, and the standardized throttle smoothness data is less than the 30th quantile of the historical data distribution, a cautious label is output.

[0092] Other cases are categorized into the aggressive or cautious labels according to the nearest neighbor principle;

[0093] Finally, the system outputs the corresponding "aggressive" or "cautious" driving style DNA tag based on the cluster to which the current driver's behavior data belongs.

[0094] like Figure 3 As shown, the dynamic initiation of the formation of a temporary fleet specifically includes:

[0095] S210, share the current navigation data of each vehicle in the cloud, including navigation data collected from the vehicle's infotainment system and navigation data collected from the mobile device; obtain the navigation destination and navigation route data of vehicles with set navigation, and establish a candidate vehicle set in combination with the driving style DNA tag;

[0096] S220, For the candidate vehicle set, calculate the path overlap between each vehicle in the candidate vehicle set, and filter out vehicles that share the same main road path from the candidate vehicle set;

[0097] S230 groups and matches vehicles that share the same main road route based on driving style DNA tags, dynamically selects one vehicle with an aggressive driving style as a lead vehicle candidate, and selects two vehicles with a cautious driving style as follower vehicle candidates, thus forming a temporary convoy formation scheme.

[0098] Aggressive drivers are typically better at spotting and utilizing gaps in the road to change lanes and overtake. Using them as the lead car allows them to fully utilize their scouting abilities, finding more efficient routes for the entire convoy. Meanwhile, two cautious vehicles acting as followers create a stable group, effectively mitigating the ripple effects of potentially aggressive driving by the lead car in the traffic flow, thus improving traffic flow stability at a micro level.

[0099] This configuration delegates the task of leading the way, which requires frequent decision-making, to drivers who enjoy or are accustomed to this style, while allowing cautious drivers who prefer stability and avoid risk to benefit from following, without having to make complex route decisions and aggressive maneuvers independently. This significantly reduces their driving decision-making pressure and improves driving comfort and safety.

[0100] like Figure 4 As shown, the establishment of a temporary collaborative vehicle fleet and the planning of dedicated collaborative routes for the temporary collaborative vehicle fleet specifically include:

[0101] S310 sends the temporary fleet formation application to the on-board terminals of the corresponding lead vehicle candidate and follow vehicle candidate via vehicle-to-everything (V2X) communication. The on-board terminals of the lead vehicle candidate and follow vehicle candidate display the temporary fleet formation application information, including the role assignment of fleet members and the expected driving route.

[0102] S320 receives and verifies the confirmation responses from the lead vehicle candidate and the following vehicle candidate. When all confirmation responses are in agreement, a temporary coordinated fleet is established.

[0103] S330: When any confirmation response is disagreement, based on the number of disagreement confirmation responses, a vehicle matching the driving style DNA tag is added from the candidate vehicle set as a new candidate, the temporary fleet formation application is resent and the verification process is repeated until all consents are obtained, and a temporary collaborative fleet is established.

[0104] S340 plans dedicated collaborative routes for temporary collaborative vehicle fleets based on shared main road routes and real-time traffic information. The dedicated collaborative routes take into account the overall traffic efficiency of the temporary collaborative vehicle fleets.

[0105] The primary optimization objectives are to minimize the overall travel time and achieve the smoothest possible journey, constrained by the navigation destinations of all members of the temporary coordinated convoy. The specific process is as follows:

[0106] Based on real-time traffic information systems and road geometry data, the shared main road routes are further refined. Priority is given to route segments that can provide continuous and smooth driving conditions for micro convoys of three vehicles, and specific cooperative lane change opportunities and lanes may be dynamically reserved or suggested for such convoys.

[0107] The purpose of a dedicated collaborative route is to transform three independent vehicles into a coordinated whole. It is a route specifically tailored for this convoy, ensuring that the convoy can operate in a coordinated, efficient and smooth manner from the start to the finish line, avoiding formation disintegration and efficiency loss caused by internal vehicle path conflicts or external traffic interference.

[0108] like Figure 5 As shown, the method of setting the transmission interval of control commands based on the collaborative safety space to generate a unified driving strategy specifically includes:

[0109] S410 calculates the collaborative safety space of a virtual buffer zone that treats the three vehicles as a whole, based on the real-time position and motion status of the lead vehicle and the following vehicle.

[0110] The collaborative safety space can be conceptualized as an elliptical region centered on the geometric center of the convoy and covering three vehicles. Its extent is dynamically determined by the following formula:

[0111] ;

[0112] in:

[0113] The minimum longitudinal length of the cooperative safety space required by a temporary coordinated convoy as a whole; this parameter directly defines the range of the passage area occupied by the convoy on the road.

[0114] For the vehicle coordination safety factor ( >1), taking into account the slight delay that may occur during coordinated braking in a temporary coordinated convoy consisting of one lead vehicle and two follow vehicles, this coefficient is used to amplify the safety margin.

[0115] Real-time speed of the lead car's aggressive driving style.

[0116] The real-time speed of the last vehicle in the convoy with a cautious driving style.

[0117] The total system response time for a temporary coordinated convoy includes the total time from when the lead vehicle issues a control command, it is transmitted via the vehicle network, processed by the driver assistance system of the following vehicle, and finally executed.

[0118] The preset maximum safe deceleration for the entire fleet is a negative acceleration value that ensures both passenger comfort and safety.

[0119] The static buffer length is the sum of the physical lengths of the lead car and the two following cars, plus the minimum static safety clearance required between them to maintain formation.

[0120] S420 generates a unified driving strategy based on the collaborative safety space and dedicated collaborative route, and the unified driving strategy is simultaneously issued to the lead vehicle and the following vehicle.

[0121] S430 collects control command data from the lead vehicle in real time. The control command data includes lane change commands, speed change commands, and braking commands. Based on the size and dynamic changes of the cooperative safety space, the transmission interval of the control commands in the vehicle network is set.

[0122] In this step, generating a unified driving strategy specifically involves:

[0123] Based on the size and shape of the collaborative safety space, the overall usable passage area of ​​the convoy is determined, and potential traffic conflict points within the passage area are identified.

[0124] By combining route planning with real-time traffic information from dedicated collaborative routes, the geometric features and traffic flow status of the road ahead are analyzed to identify the optimal travel time and route.

[0125] The optimal travel time and route are identified through a multi-factor weighted scoring model, which calculates a comprehensive score for each potential travel option, and the one with the highest score is the optimal choice.

[0126] ;

[0127] in,

[0128] A comprehensive suitability score representing a particular path or timing is used to identify the optimal choice.

[0129] It is a quality score for the distance between vehicles in front and behind in the target lane. It is calculated based on the distance and relative speed between the vehicles in front and behind in the target lane. A higher score is given if the distance is greater and the speed matching is higher.

[0130] It is the real-time traffic density of the target route segment, provided by roadside units or cloud-based traffic big data platforms. The lower the density, the higher the score for this contribution.

[0131] It is the degree to which the operation fits the dedicated collaborative route. Operations that perfectly match the predetermined route score the highest, while those that deviate from it score the lowest.

[0132] It is the urgency of the operation. The higher the urgency, the lower the score for this item. The system will tend to make decisions earlier and more gradually.

[0133] These are weighting coefficients, which are pre-set during system design based on the optimization objectives.

[0134] Based on the dynamic changes in the collaborative safety space and the navigation requirements of the dedicated collaborative route, a coordinated operation plan is formulated, which includes unified lane change instructions, unified speed adjustment instructions, and unified following distance control.

[0135] Figure 6 A structural block diagram of an intelligent traffic flow optimization driving behavior adjustment system provided in an embodiment of the present invention is shown below. Figure 6 As shown, the system includes:

[0136] The behavioral characteristic data acquisition module 100 is used to continuously collect the driver's behavioral characteristic data, including following distance, lane change frequency and throttle smoothness, and generate a driving style DNA tag for each driver based on the behavioral characteristic data. The driving style DNA tag is used to characterize the driver's driving style type, including aggressive and cautious.

[0137] The temporary convoy formation module 200 is used to dynamically initiate the formation of a temporary convoy among vehicles sharing the same main road route, based on the driving style DNA tag and in combination with the navigation destination and navigation route of the vehicles with pre-set navigation. The temporary convoy includes one vehicle with an aggressive driving style as the lead vehicle and two vehicles with a cautious driving style as follow vehicles.

[0138] The fleet application sending module 300 is used to send a temporary fleet formation application to the drivers of the lead vehicle and the following vehicle via the vehicle network, and after receiving full confirmation, establish a temporary collaborative fleet and plan a dedicated collaborative route for the temporary collaborative fleet.

[0139] The real-time control command broadcast module 400 is used by the lead vehicle to broadcast real-time control commands to the following vehicles through the vehicle network. The control commands include lane change commands, speed change commands, and braking commands. At the same time, the lead vehicle and the following vehicles are regarded as a whole virtual buffer zone. The temporary cooperative vehicle fleet calculates the cooperative safety space, sets the transmission interval of control commands based on the cooperative safety space, and generates a unified driving strategy.

[0140] like Figure 7 As shown, the temporary fleet assembly module 200 includes:

[0141] The candidate vehicle set establishment unit 210 is used to share the current navigation data of each vehicle in the cloud, including navigation data collected from the vehicle's infotainment system and navigation data collected from the mobile terminal; obtain the navigation destination and navigation route data of the vehicles with set navigation, and establish a candidate vehicle set in combination with the driving style DNA tag.

[0142] The path overlap calculation unit 220 is used to calculate the path overlap between each vehicle in the candidate vehicle set and to filter vehicles that share the same main road path from the candidate vehicle set.

[0143] The vehicle formation scheme generation unit 230 is used to group and match vehicles that share the same main road route based on driving style DNA tags, dynamically select one vehicle with an aggressive driving style as a lead vehicle candidate, and select two vehicles with a cautious driving style as follower vehicle candidates to form a temporary vehicle formation scheme.

[0144] like Figure 8 As shown, the fleet application sending module 300 includes:

[0145] The application sending unit 310 is used to send the application for temporary fleet formation to the on-board terminals of the corresponding lead vehicle candidate and follow vehicle candidate via vehicle network communication. The application information for temporary fleet formation, including the role allocation of fleet members and the expected driving route, is displayed on the on-board terminals of the lead vehicle candidate and follow vehicle candidate.

[0146] The response receiving and verification unit 320 is used to receive and verify the confirmation responses of the lead vehicle candidate and the following vehicle candidate. When all confirmation responses are in agreement, a temporary cooperative fleet is established.

[0147] The candidate vehicle supplement unit 330 is used to supplement the corresponding vehicle that matches the driving style DNA tag as a new candidate from the candidate vehicle set based on the number of dissenting confirmation responses when any confirmation response is disagreed. The temporary fleet formation application is resent and the verification process is repeated until all consents are obtained, and a temporary collaborative fleet is established.

[0148] The collaborative route planning unit 340 is used to plan a dedicated collaborative route for the temporary collaborative vehicle fleet based on the shared main road route and real-time traffic information. The dedicated collaborative route takes into account the overall traffic efficiency of the temporary collaborative vehicle fleet.

[0149] like Figure 9 As shown, the real-time control command broadcasting module 400 includes:

[0150] The safety space calculation unit 410 is used to calculate the collaborative safety space of a virtual buffer zone that treats the three vehicles as a whole, based on the real-time position and motion state of the lead vehicle and the following vehicle.

[0151] The driving strategy generation unit 420 is used to generate a unified driving strategy based on the collaborative safety space and the exclusive collaborative route. The unified driving strategy is simultaneously distributed to the lead vehicle and the following vehicle.

[0152] The transmission interval setting unit 430 is used to collect the control command data of the lead vehicle in real time. The control command data includes lane change command, speed change command and braking command. Based on the size and dynamic changes of the cooperative safety space, the transmission interval of the control command in the vehicle network is set.

[0153] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0155] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for optimizing driving behavior in intelligent traffic flow, characterized in that, The method includes: The system continuously collects driver behavior data, including following distance, lane change frequency, and throttle smoothness, and generates a driving style DNA tag for each driver based on the behavior data. The driving style DNA tag is used to characterize the driver's driving style type, including aggressive and cautious. Based on the driving style DNA tag, and combined with the navigation destination and navigation route of the vehicle with the pre-set navigation, a temporary convoy is dynamically initiated among vehicles sharing the same main road route. The temporary convoy includes one vehicle with an aggressive driving style as the lead car and two vehicles with a cautious driving style as follow cars. The vehicle network sends a temporary fleet formation application to the drivers of the lead vehicle and the following vehicle, and after receiving full confirmation, establishes a temporary collaborative fleet and plans a dedicated collaborative route for the temporary collaborative fleet. The lead vehicle broadcasts real-time control commands to the following vehicles via the vehicle network. The control commands include lane change commands, speed change commands, and braking commands. At the same time, the lead vehicle and the following vehicles are regarded as a whole virtual buffer zone. The temporary cooperative vehicle fleet calculates the cooperative safety space, sets the transmission interval of control commands based on the cooperative safety space, and generates a unified driving strategy. The dynamic initiation of the formation of temporary vehicle fleets specifically includes: Share the current navigation data of each vehicle in the cloud, including navigation data collected from the vehicle's infotainment system and navigation data collected from mobile devices; obtain the navigation destination and navigation route data of vehicles with set navigation, and combine them with the driving style DNA tags to build a candidate vehicle set; For a candidate vehicle set, calculate the path overlap between each vehicle in the candidate vehicle set, and filter out vehicles that share the same main road path from the candidate vehicle set; Based on driving style DNA tags, vehicles that share the same main road route are grouped and matched. One vehicle with an aggressive driving style is dynamically selected as the lead vehicle candidate, and two vehicles with a cautious driving style are selected as the follower vehicle candidates to form a temporary convoy formation plan. The method of setting the transmission interval of control commands based on the collaborative safety space to generate a unified driving strategy specifically includes: Based on the real-time position and motion status of the lead vehicle and the following vehicle, the collaborative safety space of the virtual buffer zone that treats the three vehicles as a whole is calculated. Based on the collaborative safety space and dedicated collaborative routes, a unified driving strategy is generated, which is simultaneously distributed to the lead vehicle and the following vehicle. The system collects control command data from the lead vehicle in real time. The control command data includes lane change commands, speed change commands, and braking commands. The transmission interval of the control commands in the vehicle network is set according to the size and dynamic changes of the cooperative safety space.

2. The method according to claim 1, characterized in that, The process of generating a driving style DNA tag for each driver based on the behavioral feature data specifically includes: For each vehicle, continuously collect data on following distance, lane change frequency, and throttle smoothness. The collected following distance data, lane change frequency data, and throttle smoothness data are preprocessed, including data cleaning, outlier filtering, and data standardization, to obtain a standardized behavioral feature dataset. Based on a standardized behavioral feature dataset, a pre-trained driving style classification model is input. The driving style classification model is obtained based on historical behavioral feature data and outputs a driving style DNA label for the current vehicle. The driving style DNA label includes an aggressive label and a cautious label.

3. The method according to claim 2, characterized in that, The establishment of a temporary collaborative vehicle fleet and the planning of dedicated collaborative routes for the temporary collaborative vehicle fleet specifically include: The application for forming a temporary convoy is sent to the in-vehicle terminals of the corresponding lead vehicle candidate and follow vehicle candidate via vehicle-to-everything (V2X) communication. The application information for forming a temporary convoy, including the role assignment of convoy members and the expected driving route, is displayed on the in-vehicle terminals of the lead vehicle candidate and follow vehicle candidate. Receive and verify the confirmation responses from the lead vehicle candidate and the following vehicle candidate. When all confirmation responses are in agreement, establish a temporary collaborative fleet. If any confirmation response is "disagree", a vehicle matching the driving style DNA tag is added from the candidate vehicle set based on the number of disagreeing confirmation responses. The temporary fleet formation application is resent and the verification process is repeated until all consents are obtained, and a temporary collaborative fleet is established. Based on shared main road routes and real-time traffic information, dedicated collaborative routes are planned for temporary collaborative vehicle fleets, taking into account the overall traffic efficiency of the temporary collaborative vehicle fleets.

4. The method according to claim 3, characterized in that, The generation of a unified driving strategy specifically includes: Based on the size and shape of the collaborative safety space, the overall usable passage area of ​​the convoy is determined, and potential traffic conflict points within the passage area are identified. By combining route planning with real-time traffic information from dedicated collaborative routes, the geometric features and traffic flow status of the road ahead are analyzed to identify the optimal travel time and route. Based on the dynamic changes in the collaborative safety space and the navigation requirements of the dedicated collaborative route, a coordinated operation plan is formulated, which includes unified lane change instructions, unified speed adjustment instructions, and unified following distance control.

5. The method according to claim 3, characterized in that, The system for implementing the intelligent traffic flow optimization driving behavior adjustment method includes: The behavioral characteristic data acquisition module is used to continuously collect the driver's behavioral characteristic data, including following distance, lane change frequency and throttle smoothness, and generate a driving style DNA tag for each driver based on the behavioral characteristic data. The driving style DNA tag is used to characterize the driver's driving style type, including aggressive and cautious. The temporary convoy formation module is used to dynamically initiate the formation of a temporary convoy among vehicles sharing the same main road route, based on the driving style DNA tag and in combination with the navigation destination and navigation route of the vehicles with pre-set navigation. The temporary convoy includes one vehicle with an aggressive driving style as the lead vehicle and two vehicles with a cautious driving style as follow vehicles. The fleet application sending module is used to send temporary fleet formation applications to the drivers of the lead vehicle and the following vehicle via the vehicle network, and after receiving full confirmation, establish a temporary collaborative fleet and plan a dedicated collaborative route for the temporary collaborative fleet. The real-time control command broadcasting module is used by the lead vehicle to broadcast real-time control commands to the following vehicles via the vehicle network. The control commands include lane change commands, speed change commands, and braking commands. At the same time, the lead vehicle and the following vehicles are regarded as a whole virtual buffer zone. The temporary cooperative vehicle fleet calculates the cooperative safety space, sets the transmission interval of control commands based on the cooperative safety space, and generates a unified driving strategy.

6. The method according to claim 5, characterized in that, The temporary convoy assembly module includes: The candidate vehicle set establishment unit is used to share the current navigation data of each vehicle in the cloud, including navigation data collected from the vehicle's infotainment system and navigation data collected from the mobile device; obtain the navigation destination and navigation route data of vehicles with set navigation, and establish a candidate vehicle set in combination with the driving style DNA tag; The path overlap calculation unit is used to calculate the path overlap between each vehicle in the candidate vehicle set and to filter vehicles that share the same main road path from the candidate vehicle set. The vehicle formation unit is used to group and match vehicles that share the same main road route based on driving style DNA tags, dynamically select one vehicle with an aggressive driving style as a lead vehicle candidate, and select two vehicles with a cautious driving style as follower vehicle candidates to form a temporary vehicle formation scheme.

7. The method according to claim 6, characterized in that, The fleet application sending module includes: The application sending unit is used to send the application for temporary fleet formation to the on-board terminals of the corresponding lead vehicle candidate and follow vehicle candidate via vehicle-to-everything (V2X) communication. The on-board terminals of the lead vehicle candidate and follow vehicle candidate display the application information for temporary fleet formation, including the role assignment of fleet members and the expected driving route. The response receiving and verification unit is used to receive and verify the confirmation responses of the lead vehicle candidate and the following vehicle candidate. When all confirmation responses are in agreement, a temporary cooperative fleet is established. The candidate vehicle replacement unit is used to replace any vehicle that matches the driving style DNA tag with a new candidate from the candidate vehicle set based on the number of dissenting confirmation responses when any confirmation response is disagreed. The temporary fleet formation application is then resent and the verification process is repeated until all consents are obtained, and a temporary collaborative fleet is established. The collaborative route planning unit is used to plan a dedicated collaborative route for temporary collaborative vehicle fleets based on shared main road routes and real-time traffic information. The dedicated collaborative route takes into account the overall traffic efficiency of the temporary collaborative vehicle fleet.

8. The method according to claim 7, characterized in that, The real-time control command broadcasting module includes: The safety space calculation unit is used to calculate the collaborative safety space of a virtual buffer zone that treats the three vehicles as a whole, based on the real-time position and motion status of the lead vehicle and the following vehicle. The driving strategy generation unit is used to generate a unified driving strategy based on the collaborative safety space and the exclusive collaborative route. The unified driving strategy is simultaneously distributed to the lead vehicle and the following vehicle. The transmission interval setting unit is used to collect the control command data of the lead vehicle in real time. The control command data includes lane change command, speed change command and braking command. Based on the size and dynamic changes of the cooperative safety space, the transmission interval of the control command in the vehicle network is set.

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