97 results about "Road grading" patented technology

The invention discloses an urban traffic road section speed prediction method and a system based on multi-road-section space-time correlation. The method comprises the steps of acquiring the speeds ofthe latest p historical time points of all road sections in an optimal feature subset corresponding to a to-be-predicted road section; wherein p is a positive integer; and inputting the acquired speeds of the latest p historical time points into a pre-trained GRU neural network, and outputting the prediction speed of the (p + 1) th time point of the to-be-predicted road section. The prediction model quantitatively and dynamically considers space-time correlation among all road sections in a road network from the aspects of traffic parameters, road section connectivity, road grades and the like, and can select a road section subset which is beneficial to speed prediction of a road section to be predicted from the road network. The prediction model can realize accurate prediction of the speed of the urban traffic road section.

The invention relates to a method for determining grade allocation of urban roads, which is used for determining grade allocation ratio of the urban roads. The method comprises the following steps: firstly, determining parameters in a microscopic share ratio model of various traffic modes influencing the grade allocation, wherein the traffic modes at least comprise three motor vehicle traffic modes of automobiles, motorcycles and public buses; and then, according to a coupling relation between a priority trip distance of each traffic mode and a trip distance undertaken by each grade road, acquiring the trip distance of each traffic mode on each grade road, and finally acquiring the road grade allocation ratio suitable for the various traffic modes. Therefore, the technical proposal of the invention has the characteristics of comprehensiveness of giving attention to various motor vehicle traffic modes, objective and scientific properties of considering the coupling relation between the priority trip distance of each traffic mode and the trip distance undertaken by each grade road, and the like, namely the method for the grade allocation of the urban roads is more reasonable, achieves effective utilization of resources, and is convenient for people to trip.

The invention relates to a road grade-based shortest route-planning algorithm. The road grade-based shortest route-planning algorithm comprises the following steps: firstly, data preparation and data preprocessing; secondly, road network hierarchical expression, wherein road network grade division and road grade-based hierarchical expression are included; thirdly, road network passing time calculation; fourthly, shortest route approximate calculation. According to the road grade-based shortest route-planning algorithm provided by the invention, a large number of experiments prove that the passing capacity of different grades of roads are taken into full consideration; the passing time is taken as a judgment standard; a calculation method is general; the results are more precise; in emergency rescue, if a fault road section in a rod network can be excluded by road detection information, the real-time passing speed is calculated by acquiring traffic flow, and the planning result is more accurate.

The invention relates to the technical field of vehicle traveling road level division. According to the vehicle traveling road level precise division method disclosed by the invention, a precise vehicle traveling road level method is provided. The vehicle traveling road level precise division method comprises the steps of: obtaining traveling data of a vehicle in real time, calculating matched road information based on the traveling data and navigation map data, calculating most possible traveling road information of the vehicle in a first time section deltaT1 by using a statistical calculation method, and further obtaining a correct traveling road level of the vehicle in complex and interferential roads through a vehicle traveling road level judgment method.

The invention discloses a lane line fusion and transverse control method and system, a vehicle and a storage medium. The method comprises the steps of acquiring guardrail information, road edge information, a lane line and a lane line confidence rate detected by a forward-looking camera; acquiring road edge information and guardrail information detected by a forward millimeter-wave radar; acquiring road edge information and guardrail information detected by a lateral millimeter wave radar; obtaining a road curvature and a road grade output by an ADAS map; acquiring a lane line detected by a look-around camera and a lane line confidence rate; fusing the lane lines based on the lane lines, the lane line confidence rate, the guardrail information, the road edge information, the road curvatureand the road grade, and outputting the fused lane lines, the types of the lane lines and the fusion confidence rate; and performing transverse control on the vehicle according to the fused lane lines, the type of the lane lines and the fusion confidence rate. When the lane line is lost, one lane line can be virtualized, and the system cannot be directly quitted, so that the continuity of controlcan be ensured, and the user experience is friendly.

The method is suitable for the technical field of traffic simulation, and provides an OD optimal path searching method based on a layered road network. The method comprises: determining a corresponding top layer starting point and a top layer terminal point of a target OD on a top layer road network, wherein the top layer road network is composed of road sections which are extracted from a targettraffic road network in advance according to historical travel track data and have travel frequencies and / or road levels higher than a set value; determining a shortest path from the top layer starting point to the top layer terminal point on the top layer road network to serve as a top layer path section; determining a shortest path from the starting point of the target OD to the starting point of the top layer on the target traffic road network as a starting point path segment; determining a shortest path from the top end point to the end point of the target OD on the target traffic road network as an end point path segment; and sequentially splicing the starting point path segment, the top layer path segment and the terminal point path segment to obtain an optimal path of the target OD.

The present invention relates to a determining method for the traffic guidance road segment of an urban variable information-identified ground. According to the technical scheme of the determining method for the traffic guidance road segment of the urban variable information-identified ground, the phenomena of unreasonable variable information-identified guidance road segments, resource waste, public dissatisfaction and the like can be avoided. In combination with urban ground road recurrent congestion discrimination indexes, road grade discrimination indexes and variable information-identified road guidance forms, variable information-identified guidance road segments are more scientific and more reasonable.

The invention provides a noise map updating method combining speed and noise monitoring data, which comprises the following steps of: classifying roads in a static noise map according to road grades,and clustering each class according to road speed; calculating the variation of a noise value of each road caused by speed change by acquiring speed data of the road at an updating moment, and calculating the variation of the noise value of the monitored road caused by density change by combining noise monitoring data of each road; finally, calculating the variation of the noise value of each roadcaused by the density change according to the calculated variation of the noise value of the monitored road caused by the density change, calculating the variation of the noise value of each road relative to the static noise map moment under the current traffic condition according to the results of the two parts, and calculating the noise value of each road relative to the static noise map momentunder the current traffic condition; and finally, updating the whole noise map according to the updating result of the noise source and the noise propagation model.

The invention discloses a rapid path planning method comprising the following steps: (S1) establishing space sublayers for a road network according to a road grade, dividing mesh regions for each layer of road network, and establishing a topological structure of the road network according to road data; (S2) respectively carrying out lifting exploration on an initial position and a final position of a low-level road network, and searching a hop position entering a high-level road network; and (S3) planning a path between an initial hop and a final hop on the high-level road network according to a shortest path algorithm. In the invention, a navigation path is planned by using methods such as road mergence, two-way lifting exploration and the like, and the requirement of the traditional navigation system for rapidly calculating and planning the optimal path can be met.

The invention discloses a method, a device and equipment for recognizing whether a vehicle goes up and down a highway based on a track, and a medium. The method comprises the steps of obtaining track data, road data, toll station data and highway entrance and exit data of the vehicle; obtaining position information of the vehicle passing through a highway toll station, position information of the vehicle passing through a highway entrance and exit, average speed difference information and driving road grade information according to the obtained data; according to the position information of the vehicle passing through the highway toll station, the position information of the vehicle passing through the highway entrance and exit, the average speed difference information and the driving road grade information, whether the vehicle meets a preset high-speed getting-on condition and a preset high-speed getting-off condition or not is judged; when the vehicle meets the preset high-speed getting-on condition, it is determined that the vehicle gets on the high-speed at the high-speed entrance position, and when the vehicle meets the preset high-speed getting-off condition, it is determined that the vehicle gets off the high-speed at the high-speed exit position. According to the method, the vehicle can be accurately identified to get on and off the high speed only according to the trajectory data of the vehicle and the road data.

The invention discloses a method and device for predicting the entry of a vehicle into a logistics park, a storage medium and a terminal. The method comprises the steps of obtaining a driving track point set of a to-be-predicted vehicle, and loading preset road network data; matching road data corresponding to tracks in the driving track point set from the road network data; the road data comprising the road grade of the road where each track is located and the distance between the located roads; sequentially inputting the road grades of the roads where the track points are located and the distances between the roads where the track points are located into a preset sliding window algorithm, and extracting track sequence features of the track points; and inputting the track sequence features of the track points into a pre-trained prediction model, outputting a probability value of entering the logistics park, and determining whether the vehicle enters the logistics park or not accordingto the probability value. Therefore, by adopting the embodiment of the invention, the behavior that the vehicle enters the park at a certain place can be effectively predicted according to the massive vehicle track data and the road network information, the prediction accuracy is improved, and the management efficiency of vehicles in the park is further improved.

The invention relates to the field of lighting street lamps, in particular to a control method and control device for a working condition of a light energy street lamp. The control method comprises the following steps of obtaining first road information of the light energy street lamp if current weather of an area in which the light energy street lamp is located is cloudy and rainy weather; querying a road grade table according to the first road information to obtain a first road grade corresponding to the first road information, wherein the road grade table is configured for storing road information and road grades corresponding to the road information one by one; collecting first traffic flow corresponding to vehicles passing on the first road information within a current time period andcarrying out analysis according to the first road grade and the first traffic flow to obtain first light intensity and first illuminating change duration; and controlling the working condition of thelight energy street lamp within the next time period in real time according to the first light intensity and the first illuminating change duration.