141 results about "Trunk road" patented technology

The invention is suitable for the technical field of intelligent driving regulation, and provides an intelligent traffic flow line optimized driving behavior regulation method and system, and the method comprises the steps: continuously collecting the behavior characteristic data of the following distance, lane changing frequency, accelerator stability and the like of a driver, and generating aggressive or prudent driving style DNA tags; in combination with vehicle navigation destinations and routes, a temporary motorcade containing one aggressive leader vehicle and two cautious following vehicles is established in the vehicles sharing the main road path; sending a team establishment application through the Internet of Vehicles, establishing a temporary collaborative team after confirmation of all the members, and planning an exclusive collaborative route; the leader vehicle broadcasts control instructions such as lane changing and speed changing, a vehicle team is regarded as a whole to calculate a cooperative safety space, instruction transmission intervals are dynamically set, and a unified driving strategy is generated. According to the invention, vehicle complementation and cooperation are realized, the traffic flow line is optimized, the driving behavior is adjusted, and the traffic efficiency and safety are improved.

The invention provides a hierarchical autonomous behavior decision and joint control method for expressway and ramp scenes, and belongs to the technical field of auxiliary driving. Comprising the steps of S1, a training stage; s1.1, collecting expert data and training an IL decision maker; s1.2, an RL control module is trained; s1.3, performing combined overall verification and fine adjustment; s2, an execution stage; s2.1, environment perception and state construction are carried out; s2.2, performing upper layer imitation learning decision making; s2.3, calling a lower layer reinforcement learning control module; s2.4, a lower layer MPC control module is called; and S2.5, vehicle execution and environment updating are carried out. According to the invention, control mode switching is more adaptive and learnable, and dependence on artificial experience is reduced; strategy flexibility and control feasibility or safety are considered; complex tasks such as highway main road lane changing, ramp confluence and ramp diversion can be processed under the same framework; according to the method, smooth and comfortable control behaviors can be generated on the premise of ensuring the safety margin.

Provided herein is technology relating to roadway design and traffic control systems and methods for connected and automated vehicle and highway (CAVH) systems, and particularly, but not exclusively, to systems and methods for controlling switching of vehicles between automated mode and human-driven mode, systems and methods for vehicle merging, diverging, and overtaking on automated lanes of multiple lane highways, systems and methods for emergency management and roadside assistance on automated lanes, and / or systems and methods for managing automated vehicle lanes on urban major and minor expressways.

The invention provides a path planning method, device and equipment and a readable storage medium, and the method is applied to a mobile device, and comprises the steps: obtaining a target map, dividing the target map into a plurality of sub-regions, and enabling the plurality of sub-regions to comprise a starting point region and an ending point region; determining an access point in the starting point area, and determining an outgoing point in the ending point area; a hybrid obstacle avoidance algorithm is utilized to determine an access path between the starting point and the access point and determine an outgoing path between the outgoing point and the terminal point, and the hybrid obstacle avoidance algorithm is a path planning algorithm combining a heuristic search algorithm and vehicle dynamics constraints; determining a main road path between the access point and the outgoing point by using a shortest path search algorithm; and determining a target path of the movable device based on the access path, the main road path and the access-out path. The driving requirements of the movable device can be met while the driving path is optimized.

The invention provides a dynamic decision-making method and system for store site selection based on geographic information, and relates to the technical field of geographic information system.The method comprises the steps that traffic data of main roads and subway lines of a target city and geographic image information of peripheral business districts of a to-be-analyzed area in the target city are obtained; processing the geographic image information to obtain a physical boundary range and business state distribution information of a peripheral business district, and calculating traffic reachability parameters in combination with traffic data; determining a preliminary candidate area in the physical boundary range, and obtaining a cooperative potential parameter according to the traffic reachability parameter; selecting a candidate store area position from the preliminary candidate area based on the traffic reachability parameter and the cooperative potential parameter; according to surrounding dynamic factors, the candidate store area positions are evaluated to determine the final store site selection, so that the accurate, intelligent and dynamic decision-making of the store site selection is realized, and the scientificity and the commercial success rate of the site selection are improved.

The application discloses a biomass collection, storage and transportation site optimization method, and belongs to the technical field of biomass energy utilization and space optimization. The method comprises the following steps: acquiring biomass site data and trunk road information of a preset area, constructing a biomass distribution matrix of the preset area by means of geographical coordinates and density of the biomass site, setting weights of corresponding sites based on biomass density, clustering and reducing dimensions of the distribution matrix by means of the weights, and outputting a preset number of candidate site sets of biomass collection and storage stations; generating an address combination containing a preset number of optimal biomass collection and storage stations based on the candidate site sets of the biomass collection and storage stations; generating a candidate site set containing a preset number of biomass power plants along a line by means of the trunk road information; generating an address combination containing a preset number of optimal biomass power plants based on the candidate site set of the biomass power plants; and the method can accurately and economically determine an optimal address combination of biomass collection, storage and transportation in the preset area.

The invention relates to the technical field of expressway operation management / traffic big data, and provides a freight transport transfer demand prediction method under a differentiated charging policy, and the method comprises the steps: obtaining the GPS track data of a truck, and carrying out the data preprocessing of the GPS track data, and obtaining effective GPS track data; carrying out stop point discrimination on the preprocessed effective GPS track data by adopting a judgment method of combining time sequence DBSCAN clustering with a stop interval, identifying and dividing different travel segments, and constructing a complete truck travel chain; based on a trip chain, identifying the flow of each sample road section through road section matching, and expanding the obtained flow of each sample road section to the flow of the whole sample road section through observation station data and portal frame data of parallel national and provincial trunk roads and expressways; and performing parameter calibration on the constructed travel path selection behavior model by using the flow of the whole sample road section subjected to sample expansion, and predicting the expressway freight transfer traffic demand by using the model based on the adjusted differentiated rate.

The invention discloses a travel traffic road condition evaluation planning system based on fusion processing. The travel traffic road condition evaluation planning system comprises a multi-source data acquisition engine, a data fusion preprocessing unit, a road condition state fusion evaluation unit, a short-time prediction evolution unit, an intelligent path planning unit and a coordination signal optimization unit, according to the method, historical and real-time dual-mode prediction verification channel and regional coordination signal control feedback is established, a road network state evolution trend decoupling stability quantitative model is used for driving a planning decision, road average delay in peak periods in typical urban road network tests is decreased, the traffic capacity of main roads is improved, the response time of extreme meteorological events is shortened, and the reliability of the urban road network is improved. The road condition evaluation precision is improved through heterogeneous data fusion and dynamic rule engine coupling, a multi-source data acquisition engine is coupled with environmental data in real time, and signal noise interference is inhibited through a credibility weighting mechanism in a data fusion preprocessing unit.

The invention relates to the field of asphalt mixtures, in particular to an anti-rutting asphalt mixture and a preparation method thereof, which are used for solving the problems that the existing asphalt mixture is poor in rutting resistance and low-temperature crack resistance, and the driving safety, comfort and service life of a pavement are seriously influenced. According to the preparation method, by adding the coated basalt fiber and the organic silicon grafted epoxy resin into the asphalt mixture, a highly crosslinked network structure can be formed in the asphalt mixture, and the asphalt mixture has very high mechanical strength and toughness, so that the rutting resistance of the asphalt mixture can be remarkably improved, and the low-temperature crack resistance of the asphalt mixture is synchronously and remarkably improved. Therefore, the fatigue damage of the road surface can be effectively reduced, the service life of the road can be prolonged, the driving comfort can be improved, and the use quality and safety of the road surface can be optimized on the road sections with frequent traffic, such as expressways and main roads.

The invention relates to the technical field of traffic signal control, and provides a traffic accident surrounding traffic signal response method and system, and the method comprises the steps: obtaining main road traffic flow parameters and secondary road exit vehicle existence information; judging whether the trunk road is in a trunk road congestion state or not; judging whether the secondary road is in a secondary road exit abnormal retention state or not; identifying a key exit passive blocking event; a control instruction is sent to an upstream intersection of the target intersection corresponding to the key exit passive blocking event, so that the upstream intersection of the target intersection controls a main road direction signal lamp to be red, and a traffic gap is created; turning the signal lamp in the main road direction of the target intersection into green light, and emptying vehicles in the main road area in front of the key exit of the secondary road; after it is confirmed that the vehicle is emptied, the vehicle at the key exit is released; and after the release is completed, judging that the emergency condition is relieved and recovering traffic signal control. The method has the advantage of avoiding traffic delay and potential public safety risks.

The invention discloses a green wave coordination control method and device and electronic equipment, and belongs to the technical field of traffic. The method comprises the steps that operation constraint conditions and coordination directions of all intersections on a trunk road are determined, a trunk road coordination control scheme meeting the coordination directions of all the intersections is determined under the operation constraint conditions, and the coordination control scheme at least comprises signal timing schemes of all the intersections on the trunk road; for any intersection on the trunk road, the signal timing scheme of the intersection is optimized through the optimization function; and controlling the intersection according to the optimized signal timing scheme so as to realize green wave coordination control of the trunk road. According to the invention, the control effect of green wave coordination control on the trunk road is improved.

The invention discloses a multi-type intersection mixed traffic control method based on multi-agent reinforcement learning, and the method comprises the steps: setting CAV special lanes and common lanes for different types of intersections, and configuring different signal lamp phases for all types of intersections; a double-layer control structure is constructed, an upper-layer controller selects an optimal signal phase by adopting a multi-agent reinforcement learning algorithm according to the state information of each intersection, and the signal lamp state of each intersection is dynamically adjusted; and when the CAV special phase is activated, the lower-layer controller adopts a reinforcement learning algorithm to carry out passing right distribution and cooperative control on the CAV on the CAV special lane, and carries out speed guidance and track cooperation on the CAV fleet. By constructing a double-layer control framework and fusing a collaborative decision-making mechanism of multi-agent reinforcement learning, the green wave passing time of vehicles on a main road is prolonged, and the passing efficiency is improved; the overall throughput of a road network is improved, and the bearing and dispersion capabilities of a regional traffic system are enhanced.

The invention discloses a cement stabilized macadam test piece and a preparation method thereof, and belongs to the technical field of traffic civil engineering. The test piece is prepared from the following components in parts by mass: 85 to 92 parts of graded aggregate, 6 to 12 parts of composite cementing material and 0.3 to 0.8 part of special admixture; the graded aggregate is of a skeleton-transition-filling three-stage structure, and the filling aggregate contains surface modified silicon carbide microbeads; and the special additive contains a slump-retaining polycarboxylic acid water reducing agent and a hydroxypropyl methyl cellulose-xanthan gum composite adhesive. The components of the test piece have a synergistic effect, and through multi-dimensional synergy of aggregate grading, modified filler and admixture regulation and control, the problems of large-particle-size broken stone sinking, uneven aggregate distribution and segregation, insufficient compactness and the like in the forming process of the cement stabilized broken stone test piece are effectively solved; the compactness, the mechanical strength and the durability of the cement stabilized macadam test piece containing the large-particle-size macadam are remarkably improved, and the composition materials of the cement stabilized macadam test piece can be used for base layer construction of high-grade highways and municipal main roads and meet the heavy-load traffic requirement.

The utility model relates to the technical field of garden irrigation, and discloses a landscaping intelligent irrigation device which comprises a shell, an electromagnetic valve is fixedly connected to the rear side of the exterior of the shell, a water body main pipeline is fixedly connected to the exterior of the electromagnetic valve, and a middle branch main pipeline is fixedly connected to the bottom of the middle of the water body main pipeline. The top of the middle section of the middle branch trunk is fixedly connected with a communicating pipe, the top of the communicating pipe is rotationally connected with a middle-end long pipe spray head, the left side and the right side of the top of the middle-end long pipe spray head are each provided with a plurality of water spraying holes, the bottom of the inner wall of the shell is fixedly connected with a main control unit, and the top of the shell is fixedly connected with a hollow supporting pipe. According to the intelligent irrigation system, the intelligent degree of the irrigation system is remarkably improved, the intelligent irrigation system can flexibly adapt to different environmental conditions, human intervention is reduced, accurate irrigation is achieved, the problem of excessive or insufficient irrigation is avoided, the utilization rate of water resources is improved, and energy consumption is reduced.

The invention discloses a dynamic scheduling method for mobile charging piles of a national and provincial trunk road energy supply station, and belongs to the technical field of transportation, and the method comprises the following steps: obtaining basic data of the mobile charging piles of the national and provincial trunk road energy supply station; calculating to obtain reference traffic volume data and charging probability data; calculating to obtain the number of vehicles with charging requirements in the arterial road energy supply station of each country and province; calculating the number of vehicles which cannot be supplied and charged by arterial road energy supply stations of all countries and provinces after the mobile charging piles are dispatched; on the basis of a supply charging gap judgment model, whether the number of vehicles which cannot be supplied and charged by arterial road energy supply stations of all countries and provinces reaches a supply charging gap control threshold value or not after mobile charging pile scheduling is sequentially judged; scheduling control parameters are set; constructing a dynamic scheduling model; and according to the scheduling control parameters and the dynamic scheduling model, a dynamic scheduling scheme of the mobile charging piles of the national and provincial arterial road energy supply stations is formulated. According to the invention, the problem of sudden unbalance of supply and demand of charging facilities is solved.

The invention relates to a control method and a regulation and control agent for coordinated regulation of traffic volume of parallel arterial roads, which are based on a relative saturation difference as a trigger condition of flow regulation between the parallel arterial roads. And synchronously determining a first signal control strategy for increasing the passing delay of the vehicle on the high-saturation trunk road and a first signal control strategy for increasing the passing delay of the vehicle on the high-saturation trunk road based on the target transfer flow, so as to realize balanced adjustment between the two parallel trunk roads. When the saturation degree of the parallel main road reaches the steady flow upper limit, vehicles not entering the congested main road can enter the parallel road with high admission ability and low traffic pressure, so that the traffic flow is uniformly distributed, and the utilization rate of the parallel road is improved while the congestion of the main road is relieved. According to the method, the path selection of the vehicle can be actively adjusted before the congestion is formed or after the congestion occurs, the bottleneck suppression is realized, and the road network traffic efficiency is improved.

This invention discloses a trunk road green wave control method and system based on the KCF algorithm, belonging to the field of traffic control technology. It includes the following steps: S1: traffic flow detection and tracking; S2: green wave control; S3: signal control. This invention uses the KCF algorithm to achieve real-time traffic flow detection and tracking, providing more accurate and real-time traffic flow information, thereby achieving more refined trunk road green wave control, further improving road capacity, and alleviating traffic congestion. Simultaneously, it can adapt to changes in traffic flow and road conditions, exhibiting better adaptability and practicality.

The present invention relates to the field of traffic signal control technology, and discloses a method and system for coordinating green waves with variable bandwidth on arterial roads for multiple critical paths. The method comprises the following steps: acquiring real-time arterial road structure data, intersection signal timing parameters, and critical path information; inputting the acquired data into a pre-built arterial green wave optimization model, solving the arterial green wave optimization model, outputting optimized signal control parameters, and coordinating green waves based on the optimized signal control parameters; the arterial green wave optimization model comprises an objective function and constraints; and the objective function of the arterial green wave optimization model is obtained with the goal of maximizing the weighted sum of the green wave bandwidths of the critical paths. The present invention can be applied to urban arterial road scenarios, providing green wave bands for multiple critical paths, and the green wave bandwidths can be flexibly varied in different road sections, thereby improving the traffic efficiency of urban arterial roads.

The invention discloses a method for realizing accurate route navigation by combining a wild road network with a public map. The method comprises the steps of route planning request and preprocessing, parallel acquisition and topology reconstruction of multiple alternative routes, fusion network data set construction, intelligent route analysis and optimal route generation and output. According to the method, deep seamless fusion of a public road network and a dynamic wild road network in a data level and a planning level is realized, the problem of route interruption caused by data missing in a field area in traditional navigation is solved, whole-course continuous navigation guidance from a city to a wild area and from a main road to a small diameter between mountains is provided for users, and the user experience is improved. Intelligent path analysis is carried out by introducing a multi-factor weighted scoring model, only the shortest distance or time is not pursued any more, multi-dimensional costs such as terrain complexity, path maturity, pavement conditions and safety are comprehensively evaluated, and a personalized path which achieves optimal balance among efficiency, physical exhaustion and risks is planned; and the safety and experience of outdoor activities are obviously improved.

The invention relates to the field of road engineering materials, in particular to a rubber powder modified asphalt composition for quickly repairing a road surface and a preparation and application method thereof, and the rubber powder modified asphalt composition comprises the following components in parts by mass: 100 parts of matrix asphalt; 10 to 20 parts of activated rubber powder; 1-3 parts of a fast emulsifier; 25 to 40 parts of a water phase system; 1-3 parts of a micro-expansion auxiliary agent; 1-5 parts of a quick-drying binder; wherein the micro-expansion auxiliary agent is matched with the quick-drying binder, and is used for counteracting shrinkage stress generated when the quick-drying binder is cured through a controlled expansion reaction under the action of a water phase system. According to the invention, the combination of super-early traffic opening and excellent long-term service performance is realized, the extremely high efficiency of opening traffic within 30 minutes is realized, the traffic jam and social economic cost caused by road maintenance are greatly reduced, and the method is particularly suitable for rapid first-aid repair of urban main roads, expressways and other scenes with extremely high traffic efficiency requirements.

The surrounding object or the lane is detected from the monitoring result of the surrounding situation monitoring device, and the host vehicle image depicting the host vehicle or the surrounding vehicle image depicting the surrounding vehicle is displayed, and the white line of the detected lane is displayed. At this time, when the current position is not on the expressway or the arterial road, the control to not display the white line of the lane is performed. Alternatively, in a case where the current position is a non-public road excluding the parking lot, the white line of the lane is not displayed.

The active light beam system is designed to improve the visibility of multi-lane vehicles. On highways, main roads, and rural roads, the active light beam system is automatically activated in conjunction with the hazard warning lights when traffic jams are expected. Simultaneously, the relatively large, two-part mirrors, particularly on multi-lane vehicles over 3.5 tons, are integrated to provide an immediate, intermittent yellow warning to the rear, while still allowing for continued rearward visibility. The third brake light, mounted on top of the vehicle, also features a pivoting light beam module with a vertical beam that can move up and down. This entire unit, preferably consisting of yellow warning lights, can provide even clearer warnings to following traffic and will significantly reduce the number of horrific rear-end collisions involving trucks.The 1.5 m long horizontal light beams also allow for better estimation of distances when forming an emergency lane. The warning colors of the vertical and horizontal light beams may vary depending on the country. Upon introduction of this new system, the unwarranted use of hazard warning lights (such as during loading and unloading operations, double parking, etc.) should be subject to stricter penalties. High fines and 1-2 points on the driver's record should be mandatory to increase awareness of the warning system's use and ensure it is only used in emergencies. The active light beam system can also be used on watercraft, with significantly more compact and preferably four rotating light beam modules integrated or mounted laterally at the front and rear of the hull.Up top, oscillating light beam modules can be used at the front and rear, producing customized and color-coded vertical beams of light that achieve optimal range. For ships without radar support, these modules visually widen the beam, effectively preventing collisions in poor visibility. Additionally, they can optimize visibility for rescue vessels in emergencies. For aircraft, rotating light beam modules are installed on both sides of the leading and trailing wing sections, generating horizontal beams the length of the wings. At the rear of the tail, an oscillating light beam module with a battery unit is integrated, producing vertical beams of light capable of covering an angle of more than 180 degrees. These systems can be used on airfields, during takeoffs and landings, or in flight to enhance visibility, for example.to increase in case of instrument failure.

The present invention discloses a multi-path signal coordination control method for bus priority, comprising the following steps: S1, collecting relevant information about trunk intersections and bus routes in the trunk; S2, dividing the multi-path bus signal control sub-areas based on the stop locations of each bus route and combining dummy variables; S3, establishing a multi-path signal coordination control optimization model for bus priority with the optimization goal of maximizing the weighted green wave bandwidth of each bus route, and then establishing intra-control sub-area group constraints, inter-control sub-area group constraints, and travel time constraints for each path; S4, solving the optimization model, obtaining the green wave bandwidth of each bus route, and outputting the optimized signal control parameters for each intersection in the trunk route. When applied to the bus signal coordination control of urban trunk routes, the present invention can provide green wave bandwidth for multiple bus routes, significantly improve the traffic efficiency of buses on urban trunk roads, and alleviate traffic congestion.

The invention discloses a biomass collection, storage and transportation site selection optimization method, and belongs to the technical field of biomass energy utilization and space optimization. Comprising the following steps: acquiring biomass site data and main road information of a preset area, and constructing a biomass distribution matrix of the preset area according to geographic coordinates and density of biomass sites; setting weights of corresponding sites based on the biomass density, performing clustering dimension reduction on the distribution matrix through the weights, and outputting a preset number of biomass storage station candidate site sets; based on the candidate site set of the biomass storage stations, generating an address combination containing a preset number of optimal biomass storage stations; generating a set containing a preset number of biomass power plant candidate sites along the line through the main road information; generating an address combination containing a preset number of optimal biomass power plants based on the candidate site set of the biomass power plants; according to the method, the optimal biomass storage and transportation address combination in the preset area can be accurately and economically determined.

The invention relates to the field of vehicle automatic driving, in particular to a lane changing control method for controlling a vehicle to enter a ramp (L2) from a main road (L1), which comprises the following steps: responding to the vehicle entering a lane changing area (KA) preset for a diversion area (R) between the main road (L1) and the ramp (L2), and according to the lane changing urgency degree of the vehicle, determining the lane changing urgency degree of the vehicle; according to the invention, the vehicle is selectively controlled to perform a lane change at an increased lateral speed and to avoid the diversion zone (R), the lane change zone (KA) containing a predetermined ramp diverting point (KP), and the degree of lane change urgency of the vehicle is determined at least on the basis of the curvature of the ramp (L2) to be entered. Therefore, the vehicle can still smoothly complete the automatic lane changing operation from the trunk road to the ramp especially under the conditions that the lane changing initiation time is late and the ramp curvature is large.

The application discloses a kind of considering the earthwork intelligent deployment method of multiple material and multiple bid section cooperation, comprising: S1, obtaining engineering basic data;S2, according to trunk road network data and site barycenter data in construction site division information, generate full field transport distance matrix;S3, the excavation area is divided into different constraint control type;S4, to the filling section and excavation area that exist internal affiliation, execute section internal deployment;S5, based on full field transport distance matrix and the full field resource state after internal deployment, introduce multiple decision variables such as cross-section deployment variable, responsibility abandoned variable and associated material unloading point assignment variable, and construct mixed integer linear programming model;S6, solve mixed integer linear programming model, determine optimal earthwork deployment scheme;The application can not only realize the collaborative optimization of rigid instruction and full field deployment, but also can clearly define the management rights and responsibilities of each contractor, improve the operability of earthwork deployment scheme.

The invention discloses a traffic flow prediction and automobile dynamic speed regulation cooperation method and system, and relates to the technical field of intelligent traffic. Comprising the following steps of multi-source data acquisition, data fusion preprocessing, feature engineering optimization, traffic flow long-term and short-term prediction, personalized dynamic speed regulation strategy generation, speed regulation instruction feasibility verification and collaborative execution and feedback optimization. According to the traffic flow prediction and automobile dynamic speed regulation cooperation method and system, through multi-source heterogeneous data fusion acquisition, an improved LSTM-Transformer hybrid model is adopted to realize traffic flow long-term and short-term accurate prediction, vehicle dynamic characteristics are combined, a personalized speed regulation strategy is generated, and a prediction-speed regulation-feedback-optimization bidirectional closed-loop cooperation mechanism is constructed. The regional traffic flow balance, the single-vehicle passing efficiency and the energy consumption performance are synchronously optimized, the road network passing efficiency is remarkably improved, the vehicle energy consumption is reduced, and the method is suitable for various traffic scenes such as urban main roads, expressways and congestion nodes.

The invention provides a country passenger and cargo mail trunk road bus scheduling method considering off-station connection, which comprises the following steps of: dividing all-day operation time into a plurality of unit time domain windows, distributing in-station passenger, cargo and mail demands in a time domain to bus shifts running in the time domain, and generating an initial bus shift path; inserting an off-station passenger request into a current time domain shift path by adopting minimum cost nearest neighbor insertion, and calculating a path cost increment for bypassing to a demand point; accepting or refusing of the out-of-station request is dynamically decided by maximizing the objective function, and refused out-of-station passengers are served by the branch connection vehicle; and outputting an out-of-station request acceptance / rejection matching result of the passenger end, the bus income and time cost, and a trunk bus running diagram of the bus end, and obtaining a final scheduling path. According to the invention, no-load bus resources are fully utilized, the carrying efficiency, the response flexibility and the tail end accessibility of the trunk bus are improved, and the service coverage capability of the area outside the station is enhanced.

The invention provides a method for constructing a dynamic traffic model of a signal trunk road. The method comprises the following steps: S1, constructing a simplified microscopic model of vehicle movement; s2, according to the ordered movement of the traffic flow queue along the main road, marking the signal period of each intersection along the way by using an incremental sequence, the same mark of the signal period reflecting the time-space association of the vehicle fleet of the adjacent road section; s3, the dynamic traffic demand of each intersection is indexed by using the mark of the signal period, and the traffic flow from the upstream main road and the upstream side road is emphasized and distinguished; and S4, for each intersection, defining the traffic retention volume of the previous signal period as a traffic state, and constructing a traffic dynamic equation. According to the method, the switching signal moment is directly used as a decision variable, the problem that other models do not directly simulate the influence of signal change on traffic conditions is effectively solved, and the method is suitable for main road real-time signal cooperative control; with the road section and the signal period as units, the model scale is minimum; model input can be directly measured, and calculation is simple.

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.