89 results about "Trunk road" patented technology

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.

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 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 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 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.

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 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 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 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.

The application discloses a site layout method and device for temporary engineering in mountainous areas. The method comprises the following steps: obtaining engineering design files and topographic spatial data, engineering geology and hydrology data, site layout condition data and temporary engineering component models of a preselected site area of the temporary engineering; generating a plurality of three-dimensional preselected layout schemes based on preset constraint conditions; evaluating the plurality of three-dimensional preselected layout schemes according to preset rules to obtain evaluation results; selecting a target scheme from the plurality of three-dimensional preselected layout schemes according to the evaluation results; obtaining position information of a trunk road; generating a three-dimensional model of a shortcut connected between the site layout area and the trunk road according to the topographic spatial data, the target scheme and the position information; and obtaining a forward design scheme for the temporary engineering in the mountainous area. The scheme improves the generation efficiency of the three-dimensional site layout scheme for the mountainous area.

The utility model relates to the field of slope protection, and particularly discloses an air-ground fusion road traffic disaster monitoring and forecasting system, which comprises a main road, a slope, a cloud service center and an application terminal, the slope is provided with a water content measuring rod, an osmometer, a seam measuring needle, a rain gauge, an inclination monitor and a GNSS displacement monitor. The system further comprises an unmanned aerial vehicle. According to the scheme, a series of core functions of remote data acquisition, wireless data transmission, data analysis and processing, disaster identification and pre-judgment, early warning and forecasting and the like are deeply integrated. By means of collaborative operation of various professional monitoring devices, once monitoring data change and the change amplitude exceeds a preset threshold value, the system immediately starts a response mechanism, and a safety warning is sent to a driver in time through a striking and visual alarm screen in cooperation with a high-decibel alarm horn.

The application relates to the technical field of traffic signal control, and provides a traffic accident surrounding traffic signal response method and system, which comprises the following steps: acquiring main road traffic flow parameters and secondary road exit vehicle existence information; judging whether the main road is in a main road congestion state; judging whether the secondary road is in a secondary road exit abnormal stagnation state; identifying a key exit passive obstruction event; sending a control instruction to a crossroad upstream of a target intersection corresponding to the key exit passive obstruction event, so that the crossroad upstream of the target intersection controls a main road direction signal lamp to be red to create a traffic gap; making the main road direction signal lamp of the target intersection turn to green to empty vehicles in a main road area in front of the key exit of the secondary road; after confirming that the emptying is completed, releasing the vehicles of the key exit; and after the releasing is completed, judging that an emergency condition is removed and traffic signal control is restored. The application has the advantages of avoiding traffic delay and potential public safety risks.

The invention discloses a scheduling method for mobile charging vehicles of national and provincial trunk road energy supply stations, which belongs to the technical field of automatic scheduling and comprises the following steps: predicting the total charging demand of the national and provincial trunk road energy supply stations in a prediction period; constructing a mobile energy supplementation demand gap model of the national and provincial arterial road energy supplementation station; defining a national and provincial arterial road energy supply station set, a mobile charging vehicle base set, a mobile vehicle quantity scheduling variable and an energy supplementation electric quantity scheduling variable, and constructing a supplementation electric quantity constraint relation; obtaining an adjustable mobile charging vehicle number upper limit and an available supply electric quantity upper limit of each mobile charging vehicle base in the mobile charging vehicle base set, and constructing a multi-target scheduling optimization model; a genetic algorithm is adopted to encode the mobile vehicle number scheduling variable and the energy supplement electric quantity scheduling variable and explore a solution space, and a mobile charging vehicle scheduling instruction of the national and provincial arterial road energy supply station is formulated. The problem that road energy supply adaptive capacity and efficiency are insufficient is solved.

The invention belongs to the technical field of railway logistics base layout planning, and relates to a method, a system and equipment for acquiring design parameters of functional areas of a railway logistics base. According to the method, the planned region shape, the planned region area, the functional region demand data and the cargo handling cost per unit distance of the railway logistics base are obtained; and planning the shape and area of the region to provide an accurate geographic space basis for subsequent functional region layout and parameter design. The actual area of the functional area is obtained according to the functional area demand data, so that it is ensured that the area of each functional area meets the actual demand, and reasonable allocation and efficient utilization of resources are achieved. And obtaining design parameters of the logistics base functional region by adopting a genetic algorithm in combination with the main road width data of the functional region, the cargo handling cost per unit distance, the actual area, the planning region shape and the planning region area. Through iterative optimization of the genetic algorithm, reasonability of functional area layout can be realized, and operation efficiency and service quality of a logistics base can be improved.

The invention provides a self-adaptive incremental updating method and device for a strip mine area map and a medium, relates to the technical field of automatic driving, and particularly relates to a method for acquiring road and operation area data by deploying multiple sensors on a mine vehicle and adopting a self-adaptive strategy. And carrying out hierarchical feature extraction on the preprocessed point cloud and image data, constructing a feature pyramid, and realizing multi-modal feature fusion by using an attention mechanism. And through comparing new and old data with semantic prediction, identifying a change area, implementing vehicle secondary updating on an operation area, implementing threshold triggering type updating on a main road, and finally outputting a new version map through global correction. Accurate updating of the mining area map is achieved, and calculation and transmission loads are reduced. And the recognition precision and robustness of the environment change are improved through hierarchical perception and multi-modal fusion. The self-adaptive updating strategy gives consideration to the timeliness of a dynamic area and the stability of a static area, and effectively supports the safe and stable operation of the automatic driving system in the mining area.

To make determination of dangerous driving easily convincing to a driver.SOLUTION: A driving evaluation device for detecting and evaluating dangerous driving stores a position and a time at which the dangerous driving is detected as a dangerous driving position and a dangerous driving time, and adjusts a weight of the dangerous driving on the basis of dangerous driving eyewitness information within a predetermined distance from the dangerous driving position acquired from the outside and within a predetermined time from the dangerous driving time. For example, the weight is set to be larger as the age of the witness of dangerous driving is lower, the witness is larger in the order of pedestrian, bicycle rider, and car rider, the type of road is larger in the order of community road, main road, and expressway, the weight is larger on weekdays than on holidays, and the weight is larger in the school commuting time zone than in other time zones.SELECTED DRAWING: Figure 3

The application discloses a kind of intersection no parking traffic system, it includes: transverse main road and longitudinal main road of vertical distribution of intersection, transverse main road is made of transverse left lane and transverse right lane for vehicle transverse opposite direction traffic, longitudinal main road is made of longitudinal left lane and longitudinal right lane for vehicle longitudinal opposite direction traffic, and, transverse left lane, transverse right lane are provided with transverse bridge for vehicle transverse crossing intersection, longitudinal left lane, longitudinal right lane are provided with longitudinal bridge for vehicle longitudinal crossing intersection.The intersection no parking traffic system of the present application is set up by transverse bridge and longitudinal bridge of vertical intersection in intersection, meet vehicle longitudinal, transverse traffic, remove the time that vehicle waits for red and green light across intersection, reduce intersection traffic, avoid the traffic jam caused by the increase of intersection traffic and cause traffic accident, realize intersection no parking traffic, improve vehicle traffic efficiency and safety.

This application provides a path planning method, apparatus, electronic device, and medium for transfer tasks. The method includes: receiving a transfer instruction including a starting position, an ending position, a first direction vector from the starting position to its adjacent main road, and a second direction vector from the adjacent main road of the ending position to the ending position; determining a first straight path based on the first direction vector, determining a second straight path based on the second direction vector, and using the endpoints of the first and second straight paths located on the main roads as the first and second positions; starting from the first position, performing a path search with the straight-line movement cost being a preset value and the turning movement cost being N times the preset value, so that the searched path from the first position to the second position is the target path with the minimum total movement cost; and connecting the first straight path, the target path, and the second straight path end-to-end to obtain the final travel path. This method reduces the number of turns in the path.

The present application relates to the technical field of lane line recognition, and in particular to a lane line geometry reconstruction method based on high-frequency navigation trajectories, a medium and equipment. The lane line geometry reconstruction method based on high-frequency navigation trajectories comprises: collecting high-frequency navigation trajectory data and performing data cleaning; identifying intersections and independent road sections of a target trunk road; introducing a variational Bayesian Gaussian mixture model, using a fine-grained lane number estimation method combining geometric projection and statistical modeling, and an HDBSCAN clustering algorithm to obtain a plurality of lane clusters, fitting the lane line geometry based on the longest trajectory in each lane cluster and road width constraints to obtain a fitted center line corresponding to each lane cluster; and offsetting the fitted center line by half a lane width on both sides according to road design specifications to complete lane line geometry reconstruction of the target trunk road. The present application realizes high-precision extraction of city trunk road lane-level geometry, has good feasibility and robustness, and has practical engineering application potential.

The present application belongs to the technical field of urban public facilities equipment, and relates to a method for collecting and recycling urban rainwater, which comprises the following steps: (1) collecting water through a four-stage source water collecting channel; (2) collecting rainwater of the urban trunk road and the four-stage source water collecting channel into a three-stage trunk road water collecting channel; (3) collecting rainwater of the urban trunk road and the three-stage trunk road water collecting channel into a two-stage regional water collecting channel; (4) filtering and depositing rainwater collected by the two-stage regional water collecting channel in a filter and depositing pool; (5) flowing rainwater of the two-stage regional water collecting channel into an urban river or a first-stage urban water conveying pipeline, and finally flowing the rainwater into a suburban reservoir; (6) conveying water of the suburban reservoir to an upstream river through a return pipeline, and opening a water intake station at each section of the return pipeline; (7) configuring a solar power supply system for the urban river to supply power; and (8) cleaning the surface water collecting channel. The method can collect and utilize rainwater, avoid flooding of urban roads by rainwater, and improve the utilization rate of rainwater.

The invention provides a road network generation method, a road network updating system and a computer program product, and relates to the technical field of computers, the method comprises the following steps: obtaining layered geometric data of an indoor space, and constructing a graph structure of a road area in the indoor space according to the layered geometric data to determine a basic road network; nodes of the vertical traffic facilities are determined, and connecting roads of the nodes and a basic road network are generated, so that a connecting road network of the vertical traffic facilities and the basic road network is constructed; and carrying out main road extraction on a combined road network formed by the basic road network and the connection road network to determine an initial layer inner road network, optimizing the initial layer inner road network to obtain an layer inner road network, and carrying out interlayer communication on the layer inner road network to obtain an integral indoor road network. According to the invention, the whole indoor road network can be accurately generated.