48 results about "Road traffic vehicle" patented technology

The invention relates to a road traffic vehicle speed induction method. The method is mainly and technically characterized in that an intersection information releasing module releases intersection information in real time; an intersection information obtaining module receives the intersection information in real time and transmits the intersection information to a core processing module; a vehicle positioning module obtains the speed and the position of a vehicle in real time and transmits the speed and the position to the core processing module; according to the intersection information and the vehicle position and the vehicle speed of the vehicle, the core processing module calculates the speed of the vehicle passing an intersection in a green light period, and the speed of the vehicle is induced. The method is reasonable in design, it is guaranteed that the vehicle reaches the intersection in the traffic signal green light period and quickly passes the intersection, it is avoided that the vehicle parks at the intersection during a red light period, average speed of the vehicle passing the intersection is greatly increased, more vehicles can pass in the limited green light time, and the go-through efficiency of the whole traffic intersection is effectively improved.

The invention discloses a method for analyzing driving safety of vehicles, belongs to the technical field of driving safety of vehicles, and analyzes the driving safety of different vehicles on road sections in mountainous area or on a bridge, and the like. The method for analyzing driving safety of vehicles of the invention comprises the following steps of: establishing a longitudinal kinetic model of a vehicle by establishing an engine model, a hydraulic torque converter model, an automatic transmission model, a vehicle driving model and a brake system model respectively and combining the models; building a standard loading vehicle movement model in a common state by combining a vehicle kinetic equation, modifying movement models of light loaded, heavy loaded and overloaded vehicles based on the standard loading vehicle movement model in a common state, and analyzing a corresponding motion law. The method realizes the judgment of the driving safety of vehicles on specific road section by establishing the kinetic models of the vehicles, acquiring driving data of vehicles, verifying and modifying the models by designed tests.

Disclosed in the invention is a video-tracking-based vehicle queuing length calculating method. On the basis of a video tracking result, a moving or stopping state of a vehicle on a road is analyzed effectively and a road traffic state is determined; and whether a queue congestion state occurs is determined. According to a vehicle tracking path, whether a same vehicle stops at a parking line position is determined in real time; if a parking queue occurs, a moving track of a tacked vehicle on the road is analyzed and the queue length is determined. Therefore, accurate road traffic vehicle queue length information can be obtained and thus a basis is provided for analyzing and managing the road traffic scientifically.

The invention discloses a road traffic vehicle running active control system based on binocular vision. The system comprises a detecting module for detecting vehicle running information and road condition environment information, an early warning module for receiving detection data of the detecting module and performing early warning judgment, a processing module for receiving the detection data of the detecting module and generating an active brake mode, and an auxiliary brake module for receiving the active brake mode and helping a vehicle to brake. The vehicle running information and road condition environment information can be detected in real time, auxiliary brake is performed on the vehicle, and the running safety is improved. The invention further discloses a road traffic vehicle running active control method based on binocular vision, the vehicle running information and the road condition environment environment can be collected, and the vehicle active brake mode and the warning state are determined based on the BP neural network.

A facilitated safe care steering device capable of preventing such problems with present transportation vehicles and working vehicles that, since these vehicles are formed to be excessively dependent upon the viewing, sensing, and judgement of drivers, these vehicles cannot be said to be able to cope with the physical decline of the drivers due to secular change, and a large number of serious accidents occur due to the physical decline, wherein the physical decline is mechanically and optically supported by recognizing the state of roads, traffic controls, and dangerous objects to the vehicles with a systematic recognizing method, and the vehicles carry a system for physically avoiding the accident when they actually encounter the accident to assure the safe traveling of the vehicles on the roads. There is no technology other than this technology in which social-friendly road traffic vehicles are manufactured in optimum safe and economical conditions to meet the requirements of road and traffic regulations and rules which become complicated more and more.

The invention relates to a method for designing a detection radar antenna of road traffic vehicle flow, which is concretely embodied by a design embodiment. The invention uses an optimized demonstration method to determine the requirements for the indexes of the detection radar antenna of the road traffic vehicle flow, points out the defects of designed antennae in the prior similar radar products, and provides a basic microstrip array antenna of a shunt feed type. Accordingly, a design scheme and a method of two microstrip array antennae of a shunt feed type are provided, and a concrete design result is provided. The method provided by the invention is proved to be capable of generating the antennae more suitable for the need of a detection radar of the vehicle flow and achieving the comprehensive aim of high performance, low price and small size.

The invention discloses a feedback control design method for reducing traffic congestion. The method comprises the following steps: 1, a state space model of an urban road intersection is built; 2, matrixes A(k) and B(k) are designed; 3, as the number x(k) of vehicles at the intersection and the incoming vehicle u(k) are constrained, constrained conditions for meeting the road vehicle number and the incoming vehicles are designed; 4, the minimum performance index for model prediction control is designed; and a model prediction control state feedback control law for road traffic vehicle information is designed. Through means such as road data acquisition, model building, constraint control and performance analysis, the congestion problem caused by heavy traffic in a primary road can be relieved, and on the premise of ensuring steady and safe running of vehicles at the urban road intersection, the control effects are good.

The invention discloses a vehicle classification detection method based on an optimized YOLOv5 model. The method comprises the steps of obtaining road traffic vehicle image data; performing vehicle type division on the road traffic vehicle image data to establish a vehicle identification detection data set; according to the vehicle identification detection data set, constructing an OP-YOLOv5 vehicle classification detection model; and inputting to-be-detected image data into the OP-YOLOv5 vehicle classification detection model to obtain a detection result. According to the invention, the precision and speed of vehicle detection are improved.

The invention discloses a feature extraction system of a road traffic vehicle. The feature extraction system comprises a vehicle image acquisition module, a vehicle image model construction module, anedge contour detection module, an enhancement processing module and a feature extraction module, Wherein the vehicle image acquisition module is respectively connected with the vehicle image model module and the edge contour detection module, the edge contour detection module is connected with the enhancement processing module, and the enhancement processing module is connected with the feature extraction module. According to the feature extraction system of a road traffic vehicle, the Edge profile detection module and the enhancement processing module carry out edge and information enhancement processing on the acquired vehicle image, and processes the vehicle angular point distribution information in a simulation invariant region through the feature extraction module so as to realize extraction of vehicle pixel feature points, so that the vehicle pixel feature points have the characteristic of high feature extraction accuracy, and a foundation is laid for intelligent identificationof vehicle features in the later period.

The invention belongs to the technical field of intelligent traffic detection, and relates to a scanning-type intelligent detection method and device for road traffic vehicles. The method includes the steps that dynamic data scanning collecting of the shapes of the traveling vehicles is firstly achieved through an infrared laser scanning raster installed on a road, and then contour lines of the passing vehicles are obtained with the image contour line extracting technology, so that the functions of vehicle shape detection, vehicle flow counting, detection data transmission and the like are achieved. The body structure of the related device comprises the infrared laser scanning raster, an intelligent detection terminal, an infrared laser apparatus array, an infrared receiver array and a steel frame structure. Related technology principles include the infrared laser scanning raster technology, the intelligent detection terminal development technology and the image contour line extracting technology. The method is novel in design, easy and convenient to operate, accurate in detection and high in real-time performance; the use device is simple in structure, low in cost, long in service life, safe and reliable.

The invention relates to the field of automobile dust raising (one of atmospheric haze main causes) control, in particular to ground surface dust/garbage treatment equipment. The ground surface dust/garbage treatment equipment comprises a walking device and a dust removal device; and the dust removal device comprises a dust collecting cavity chamber assembly, the dust collecting cavity chamber assembly is installed on the walking device in a flexible connection and suspended mode, a working opening is formed in the lower part of the dust collecting cavity chamber assembly, and the working opening is formed to face the ground surface. According to the ground surface dust/garbage treatment equipment, the structure is simple, a traditional road sprinkling and sweeping car or cleaning and sweeping car only has a single garbage cleaning function, the ground surface dust/garbage treatment equipment has strong dust and garbage one-time thorough clearing function, meanwhile, compared with thetraditional road sprinkling and sweeping car or cleaning and sweeping car, sweeping brushes, sweeping brush machinery, some positioning wheels and a plurality of power and control systems are omitted,the car speed is high, road traffic congestion of road traffic vehicles cannot be caused when the ground surface dust/garbage treatment equipment works, and the road traffic capacity can be ensured.

The invention discloses a movable bulk blending fertilizer production car. The car comprises a road traffic vehicle (1), a batching device (2), a belt conveying device (3), a blending device (4), a lifting device (5), a packaging device (6) and a control device (7). The car is mainly characterized by respectively arranging the batching device (2), the belt conveying device (3), the blending device (4), the lifting device (5), the packaging device (6) and the control device (7) on a platform of the road traffic vehicle (1) according to a production flow. The car has the advantages of advanced structure, reasonable layout, low preparation cost of the bulk blending fertilizers, being capable of meeting the real-time requirements of agricultural production in various regions.

The invention discloses a broadcast system for road traffic caution and guidance. The broadcast system comprises an FM (Frequency Modulation) transmitter and a vehicle-mounted FM receiver, wherein the FM transmitter comprises a sound source, an input channel, a filter module, an FM emission module, a first controller, a keypad and a coding module for switching on/off a specific FM channel; and the vehicle-mounted FM receiver comprises a first FM digital radio module, a power amplification module, a storage module, a second controller, a button, a second FM digital radio module, and a decoding and interruption generating circuit module. The broadcast system of the invention sends FM broadcast signals in the specific FM channel to a certain range taking an emission source as the center via the FM transmitter, wherein the FM broadcast signals can vary in emission powers and include encoding signals which can switch on or off the specific FM channel; the vehicle-mounted FM receiver of a vehicle within the signal coverage range can be automatically tuned to the same channel with the FM transmitter and can receive corresponding broadcast signals; and thus, traffic information can be sent to drivers and passengers anytime and anywhere within the signal coverage range, and traffic accidents can be reduced.

The present invention relates to a shunt navigation system based on real-time traffic status information such as big data. The system comprises a vehicle navigation device, a system center server and an information transmission network. The shunt navigation system based on big data is configured to collect the road traffic vehicle position and the flow direction information in real time and analyze the traffic pass condition of each road segment to provide navigation service combining the real-time road traffic condition for vehicles. The shunt navigation system based on big data avoids the problem that the current road navigation system only can provide static state navigation service and provides a real-time unobstructed road driving route for driving, and is able to effectively solve the problem of the increasingly severe road jam.

The invention discloses a gravity energy generator for a motor vehicle in the technical field of gravity energy, which utilizes the weight of a transport vehicle and adopts a design mode of an automobile hub. A kinetic energy conversion mechanism, a gear speed-up transmission mechanism, a generator mechanism and a power output interface are installed in a hub of the vehicle in a centralized mode,and the vehicle is made to move under the condition that an auxiliary power source provides initial power, due to rotation of the wheels, a plurality of pressure crank arms arranged on the periphery of the hub do lever motion under the action of object gravity and counter-acting force of the ground, the angles of the crank arms are sequentially changed, the weight of a vehicle perpendicular to theground is converted into torque, and the rotating torque is transmitted to a generator through speed increase of a gear transmission device to serve as a generator energy supply source, and the generator generates voltage output, so that the generation of gravity energy is realized; the generator is easy to manufacture, convenient to install, simple in energy expansion and suitable for road traffic vehicles and rail traffic locomotives.

The invention belongs to the technical field of road traffic vehicle control, and particularly relates to a vehicle active braking system based on multi-sensor fusion. The system comprises a multi-sensor obstacle detection mechanism, electronic brake calipers, a camera front-end processing controller, a main control controller and a central gateway. The camera front-end processing controller, themain control controller and a central gateway form the brake controller; the multi-sensor obstacle detection mechanism is composed of a camera, a distance measuring radar and other sensors and is usedfor detecting vehicle obstacles; the camera pre-processing controller is used for carrying out image recognition pre-processing on the data of the camera; the main control controller is a core operation control unit and is used for carrying out fusion processing on external input signals and outputting related information; the central gateway is used for performing multi-network information exchange between the BCU and the whole vehicle and performing signal interaction with communication modules such as a 5G communication module and the like; and the electronic brake calipers are used for braking a vehicle. The system can be installed on any vehicle, the braking distance can be mastered more accurately, and the safety is greatly improved.

The invention relates to a road traffic vehicles, in particular to a rubber braking plate and. The braking plate comprises a plate body, wherein the plate body comprises a reinforcing layer and a wear-resisting layer, wherein grids which are longitudinally and transversely staggered are arranged in the reinforcing layer; the wear-resisting layer is arranged on the upper surface of the reinforcing layer; grooves are formed in the wear-resisting layer; fixing screw holes or buckle clamping grooves are arranged in the plate body; the braking plate is arranged on the bottom of a vehicle by virtue of a holder; the braking plate is operated to lift by virtue of a hand brake rod; and the rubber braking plate achieves the braking effect by virtue of friction resistance with a road surface.

The invention relates to road traffic vehicles and particularly relates to a braking vane provided with rubber embosses and an application method of the braking vane. The braking vane comprises a vane body; criss-cross lattices are arranged inside the vane body; a plurality of embosses are arranged on the upper surface of the vane body; fixing screw holes or clamping slots are formed in four corners of the vane body; and the braking vane is arranged at the bottom of a vehicle through a fixing frame by using bolts or the clamping slots. The braking vane can be lifted up and down by using a hand brake bar, and a braking effect can be achieved by friction resistance between the road surface and the rubber embosses of the braking vane.

The invention discloses a road traffic incident detection method based on deep learning. The method comprises the following steps: obtaining a road traffic vehicle sample data set; processing the sample data set, and dividing the sample data set to obtain a training set and a verification set; an attention module CBAM is added to the original YOLOv5 model, alpha-CIOULoss is used for replacing the original CIOULoss, and an improved YOLOv5-Improved model detection algorithm is obtained; the processed sample data set is input into a YOLOv5-Improved model, and a. Pt weight file after training is obtained; detecting the video test set by using the weight file to obtain target vehicle result information, and inputting the target vehicle result information into a Deepsort target tracking detection algorithm for tracking to obtain specific coordinate information of the vehicle and a vehicle ID; and inputting the event into a pre-written logic algorithm to judge whether the event is a parking or congestion event or not. By adopting the road traffic event detection method based on deep learning, the problem that an existing target detection method is poor in real-time performance and detection precision can be solved.