13 results about "Near road" patented technology

The invention belongs to the technical field of near-roadside pollution diffusion simulation, and particularly relates to a road traffic pollution diffusion rapid simulation method based on a physical structured proxy model. Comprising the following steps: S1, meteorological characteristic engineering and sampling; s2, road network standardization decomposition: carrying out topology discretization decomposition on the complex urban road network into standardized unit line sources which can be independently calculated; s3, reconstructing spatial geometric features; s4, physical mechanism dual partitioning: constructing an orthogonal physical mechanism partitioning system according to the atmospheric stability level and the relative position of the receptor point; s5, proxy model training: respectively training an XGBoost regression model for each physical partition; and S6, area field rapid reconstruction: receiving real-time boundary conditions for parallel inference, and rapidly reconstructing an area pollutant concentration field through linear superposition. On the premise of ensuring the simulation precision highly consistent with that of a full-physical model, the calculation efficiency is remarkably improved, and the method is suitable for real-time air quality simulation of a large-scale urban road network.

The invention relates to a method for determining at least one safety-critical peak region (R1, R2, R3) on the basis of an indicator value (Z) for statistical characterization of event descriptions detected by at least one vehicle in a location-related manner, wherein those inflow- and outflow-free road sections of which the section length is greater than or equal to a predetermined minimum section length are identified on the basis of a road map or navigation map. Identified road sections which adjoin one another are connected to form in each case a section chain (10) with a starting point (11) and an end point (12). Event descriptions comprising a geoposition (P1, P2) and at least one parameter of a vehicle environment model are detected by vehicles and transferred to an analysis system. The analysis system in each case assigns a nearest road network location (O1, O2) of a section chain (10) to a geoposition (P1, P2) of an event description and describes it by a longitudinal distance (L, L1, L2) in relation to the starting point (11) of the section chain (10). For at least one section chain (10), a profile of a density value (p) of event descriptions that is related to the longitudinal distance (L, L1, L2) from the starting point (11) is determined by means of a kernel density estimator of a predetermined bandwidth. The profile of the density value (p) is transformed, using local, bandwidth-related, Z standardization, into a Z profile (Z1, Z2) of a Z value (Z) which is mean-free in relation to bandwidth. In each case a region of road network locations (O1, O2) along the motorway-like road (100) which are connected along a section chain (10) between a peak beginning (Lmin) and a peak end (Lmax) and at which the Z value (Z) exceeds a predetermined threshold value (θ) is identified as a safety-critical peak region (R1, R2, R3).

The invention relates to a positioning track fusion processing method, system and device for a vehicle and a gun, and belongs to the technical field of gun positioning, and the method comprises the steps: obtaining a vehicle attitude angle of the vehicle at the current moment, and calculating the vehicle displacement according to the vehicle attitude angle; according to the vehicle displacement and the vehicle position initial value, the track point estimation position of the vehicle is obtained, and according to the track point estimation position of the vehicle, the gun estimation position is calculated; when the global navigation satellite system data of the gun is not received, the current position of the gun is calculated according to the triaxial acceleration of the gun; obtaining fused gun trajectory points according to the estimated gun position and the current gun position; when the global navigation satellite system data of the gun is received, the track point of the gun is the position of the gun; and projecting the gun track point to the road network data, searching the nearest road line segment, and correcting the gun track point to the road direction. The gun positioning method has the beneficial effect that the gun positioning track precision is improved.

The application discloses a traffic network bottleneck identification method based on traffic cascade in the technical field of traffic information control, which comprises the following steps: acquiring road data and commuting behavior data in a target area, extracting the midpoint of each road in the road data, connecting the start and end points of the commuting behavior data to the midpoint of the nearest road, and recording the corresponding index relationship between the start and end points and the midpoint of the road. The application uses an incremental traffic assignment algorithm to assign the trip matrix of the spatial position information, simulates the congestion effect generated by the network traffic cascade by iteratively updating the network edge weight, identifies the network bottleneck under the network traffic reconstruction, can systematically depict the cascade conduction mechanism of the traffic network traffic under the disturbance condition, identify the network bottleneck which has a key influence on the system stability, and improve the response ability and structural resilience of the city risk.

The invention discloses a method and a device for calculating deflection of a foundation pit support pile considering a vehicle dynamic load effect. The method comprises the following steps: constructing an active soil pressure calculation formula of a soil body on the side of the support pile under the vehicle dynamic load effect; constructing a pile body deflection differential equation below an excavation face and a pile body deflection differential equation above the excavation face according to an active soil pressure calculation formula of a soil body on the side of the support pile under the action of a vehicle dynamic load; and according to the pile body deflection differential equation below the excavation face and the pile body deflection differential equation above the excavation face, a segmentation independent coordinate method is adopted to segment the pile body according to the actual working condition, a deformation differential equation of each segment of the pile body is established, and meanwhile, the deformation differential equation of each segment of the pile body is introduced into the pile end boundary condition to calculate the deflection of the pile body. By adopting the technical scheme, the deformation of the support pile of the deep foundation pit close to the road can be calculated more accurately.

This invention relates to a method for determining an indicator value (Z) for statistically characterizing a location-related event description acquired by at least one vehicle, wherein, based on a road or navigation map, road segments with no inflow and no outflow are identified, with a segment length greater than or equal to a predetermined minimum segment length. Adjacent identified road segments are connected to form a road segment chain (10) having a start point (11) and an end point (12). An event description, including the vehicle's geographic location (P1, P2) and at least one parameter of the vehicle's environmental model, is acquired and transmitted to an analysis system. The analysis system assigns the nearest road network node (O1, O2) of the road segment chain (10) to the geographic location (P1, P2) of the event description accordingly, the nearest road network node being described by a longitudinal distance (L, L1, L2) relative to the start point (11) of the road segment chain (10). For at least one road segment chain (10), a curve of the density value (p) of the event description with respect to the longitudinal distance (L, L1, L2) to the starting point (11) is determined by means of a kernel density estimator with a predetermined bandwidth. The curve of the density value (p) is transformed into a Z curve (Z1, Z2) of the Z value (Z) with zero mean relative to the bandwidth by means of bandwidth-based local Z-normalization.

The invention relates to a method for determining at least one safety-critical peak region (R1, R2, R3) using an indicator value (Z) for the statistical characterization of location-based event descriptions recorded by at least one vehicle. Based on a road or navigation map, those road segments without inflows or outflows are identified whose segment length is equal to or greater than a predetermined minimum segment length. Adjacent identified road segments are connected to form a segment chain (10) with a starting point (11) and an endpoint (12). Event descriptions, comprising a geoposition (P1, P2) and at least one parameter of a vehicle environment model, are recorded by vehicles and transmitted to an analysis system.The analysis system assigns to each geoposition (P1, P2) of an event description the nearest road network location (O1, O2) of a segment chain (10) and describes it by a longitudinal distance (L, L1, L2) relative to the starting point (11) of the segment chain (10). For at least one segment chain (10), a density value (p) of event descriptions, relative to the longitudinal distance (L, L1, L2) to the starting point (11), is determined using a kernel density estimator with a predetermined bandwidth. The density value (p) is then transformed into a Z-shaped curve (Z1, Z2) of a Z-value (Z) that is mean-free with respect to the bandwidth, using a local Z-standardization based on the bandwidth.Each area of ​​interconnected road network locations (O1, O2) along a chain of sections (10) between a peak start (Lmin) and a peak end (Lmax) along the motorway-like road (100), where the Z-value (Z) exceeds a predetermined threshold (θ), is identified as a safety-critical peak region (R1, R2, R3).

The utility model relates to a kind of double-sided photovoltaic anti-glare board and photovoltaic power generation system.A kind of double-sided photovoltaic anti-glare board, including photovoltaic anti-glare panel and base, the photovoltaic anti-glare panel and the base fixed connection or rotary connection;The photovoltaic anti-glare panel includes perovskite photovoltaic assembly.The double-sided photovoltaic anti-glare board of the utility model makes full use of the characteristics of road median strip, provides supplementary electric energy for the electric equipment near road, energy saving and environmental protection.When photovoltaic anti-glare panel and base are rotary connection, the angle of photovoltaic anti-glare panel can be adjusted according to the different azimuth change of sun in different seasons, to achieve the maximum use of light energy.Compared with ordinary anti-glare board, double-sided photovoltaic anti-glare board can increase land and illumination utilization rate, and the electric energy emitted can also be supplied to street lamp and other electric traffic equipment, with great economic and environmental benefits.

The invention belongs to the field of green traffic, and particularly relates to a microcosmic traffic simulation speed trajectory regeneration method responding to emission evaluation. Comprising the following steps: 1, selecting an emission factor model, and simulating and outputting second-by-second speed, lane and position data of a vehicle; step 2, constructing acceleration-jerk envelope line models of different vehicle types; 3, considering constraint conditions of kinematics consistency, dynamics controllability, jerk boundary, following safety and stroke boundary consistency, and constructing a vehicle speed trajectory control model; 4, performing linearization processing on nonlinear constraints in the vehicle speed trajectory control model by using an SOS2 technology; and 5, designing a'relaxation-strengthening 'solving algorithm, and optimizing output to obtain a speed trajectory sequence responding to emission evaluation and physical consistency. According to the method, a transferable technical path is provided for a robust coupling microscopic simulation and emission model, and the method can be used for hot spot analysis of a project scale, near-path air quality evaluation and design of a refined emission reduction strategy.

The application provides a kind of autonomous perception backup operation level train section protection method and system, the method comprises: in the case where the operation level of train is ABL level, receiving the hazard source information and signal state information sent by ground equipment;According to signal state information and the generating factor of ABL level, the first perception MA of train is calculated;According to the signal type corresponding to the open near road of train and the first perception MA, the perception MA fusion of different train route is carried out, and the second perception MA is obtained;According to different accurate parking scene, the second perception MA is extended, and the third perception MA is obtained;According to the validity of hazard source information, the third perception MA is updated, and the fourth perception MA is obtained;According to the fourth perception MA, the target obstacle protection of train in operation section is controlled.The method of the application improves the automation, intelligentization and reliability of train signal system, and further improves the train section protection efficiency and safety.

The utility model belongs to the technical field of expressway construction compaction, and particularly relates to an auxiliary compaction device for expressway high-fill roadbed settlement control construction, which comprises a road roller and is characterized by further comprising a rectangular frame, the rectangular frame is fixedly mounted on the road roller, a rolling roller is rotatably mounted in the rectangular frame, and the rolling roller is fixedly mounted on the road roller. A scraping plate is fixedly installed in the rectangular frame and located on the peripheral side of the grinding roller, an inserting groove is formed in the rectangular frame and located at the bottom of the scraping plate, a collecting box is installed in the inserting groove in an inserted mode, and a plurality of draining holes are formed in the bottom of the collecting box. The limiting assembly is located in the rectangular frame and used for limiting the collecting box; the fixing plate is fixedly mounted on one side of the rectangular frame, the road roller can scrape soil adhered to the surface of the rolling roller, so that the compaction effect of the rolling roller can be better, the scraped soil can be secondarily utilized, personnel near the road roller can be reminded to pay attention to safety, and potential safety hazards are avoided.

The application belongs to the technical field of near-road side pollution diffusion simulation, and particularly relates to a road traffic pollution diffusion fast simulation method based on a physical structured proxy model. The method comprises the following steps: S1. meteorological feature engineering and sampling; S2. road network standardization decomposition, which discretizes and decomposes a complex urban road network topology into standardization unit line sources that can be independently calculated; S3. spatial geometric feature reconstruction; S4. physical mechanism double partition, which constructs an orthogonal physical mechanism partition system according to the atmospheric stability level and the relative position of the receptor point; S5. proxy model training, which trains an XGBoost regression model for each physical partition; S6. regional field fast reconstruction, which receives real-time boundary conditions for parallel inference and reconstructs the regional pollutant concentration field through linear superposition. The application significantly improves the calculation efficiency under the premise of ensuring the simulation accuracy consistent with the full physical model, and is suitable for real-time air quality simulation of large-scale urban road networks.