2372 results about "Traffic crash" patented technology

Traffic information, including traffic flow information and traffic incident information, obtained through a traffic management system for providing and facilitating the exchange of traffic information between a remote location and a vehicle may be presented to a user on a user display in the vehicle. The traffic information may be presented to the user in several circumstances, either as cued by the user, or automatically presented by the traffic management system. The user display may also automatically display traffic flow and traffic incident information for the direction that the user is traveling or along a route calculated by the navigation device. Further, a window displaying information about an upcoming traffic incident such as distance to the incident and incident details may automatically appear in the user display. Alternately, the user may select a roadway, freeway, or area for which traffic information is desired.

Traffic information, including traffic flow information and traffic incident information, obtained through a traffic management system for providing and facilitating the exchange of traffic information between a remote location and a vehicle may be presented to a user on a user display in the vehicle. In one embodiment, traffic information provided to a vehicle navigation device is refined by comparing the average speed of the vehicle against the average speed of other vehicles traveling along the same road. In another embodiment, the operation of a traffic signal is controlled based, in part, on the current traffic flow and distance from the traffic signal to alleviate traffic congestion.

The invention discloses a driver fatigue monitoring device based on multivariate information fusion and a monitoring method thereof. The device comprises a digital signal processor, a camera head with a filter, a rectangular ultrared LED light source module mounted on a car windshield, a speaker module and a sensor module comprising an angular sensor and a pressure sensor, wherein the camera head, the rectangular ultrared LED light source module, the speaker module and the sensor module are respectively connected with the digital signal processor. The monitoring method comprises four procedures, namely eye characteristic identification, view line track, driving activity monitoring and fatigue characteristic judgment which merges the fatigue judgment results of the eye characteristic identification, the view line track and the driving activity monitoring to accurately judge the fatigue states of a driver. The invention utilizes an information merging technology to further develop and improve a fatigue driving detection technology, can objectively, rapidly and accurately judge the fatigue state of the driver in real time and avoids traffic accidents caused by fatigue driving.

The invention discloses a parking space inquiry booking system and a parking space inquiry booking method. The parking space inquiry booking system comprises at least one parking space information acquisition unit, at least one parking space inquiry booking server, at least one communication controller and at least one piece of terminal equipment, wherein the parking space information acquisition unit is connected with the communication controller through a communication medium, and the communication controller and the terminal equipment are connected with the parking space inquiry booking server through an internet or a mobile communication network. The parking space inquiry booking system has the advantages of high intelligence degree, simple operation, convenience in use, accurate acquisition and distribution of parking space information, and low hardware cost; and by the adoption of the parking space inquiry booking method, surrounding parking space information of a car owner is automatically and individually shown according to the location information of the car owner, the operation procedure is simplified, the time spent by the car owner in operating and finding a remain parking space is shortened, the operation effect is improved, and a traffic jam or a traffic accident caused by distraction of the car owner is avoided.

The invention discloses a driving path planning method for vehicle navigation. The method comprises a road cutting system, a driving time computing system and a driving path optimization system. The method is characterized in that the road cutting system comprises a data analysis system and a driving scheme planning system, and cutting the driving path into traffic lights, crossroads and road sections which are formed by using places where the speed limit, driveway number and road name change as the nodes; the vehicle driving path is composed of the road sections, and the road sections in the driving path are numbered; when traffic jams, traffic accidents, road blocks and other conditions appear in the driving path, the real-time traffic conditions change, and the original planned path is possibly not the fastest path; and the path is replanned to select the fastest path as the optimal driving path, thereby enhancing the navigation efficiency and saving the time.

Disclosure is a method for detecting the safety driving state of a driver, the method comprises the following steps: (a) detecting the current sight direction of a driver in real time and acquiring a scene image signal in a front view field of the driver when a vehicle runs; (b) processing the acquired current road scene image signal according to a visual attention calculation model to obtain the expected attention distribution of the driver under the current road scene; and (c) performing fusion analysis on the real-time detected current sight direction of the driver in the step (a) and the calculated expected attention distribution of the driver in step (b), and judging whether the current driver is in a normal driving state and whether the driver can timely make a proper response to the sudden road traffic accident. The device is used for implementing the method and has the advantages of simple principle, easy realization, direct reflection of the real driving state of a driver, and improvement of the driving safety.

The invention discloses a vehicle ranging and collision early warning method based on monocular vision. Firstly, a target dynamic video is collected through a monocular camera, each frame of the collected video is subjected to image preprocessing, then, the characteristics of an image is compared with positive sample characteristics obtained by training to detect a target, and the target is marked by a rectangular frame. The midpoint coordinate of the bottom edge of the rectangular frame is obtained, and a practical distance between two vehicles can be obtained according to pinhole imaging and the geometric proportion relationship of similar triangles; and according to the distance change of two vehicles within a given time, the relative speed is calculated, the collision time is calculated by combining with the distance, and a voice alarm is given when the time is smaller than the collision safety time so as to prompt a drive to adopt a corresponding measure. The vehicle ranging and collision early warning method only adopts one camera to collect videos, so that equipment is simple, an adopted target detection method has the advantages of being high in accuracy and instantaneity, a ranging method is simple and effective, timely early warning is realized, and traffic accidents are effectively avoided.

A battery mounting assembly for mounting batteries to a vehicle. The battery mounting assembly has lower battery tray and an upper battery tray disposed below and above one another respectively. The battery mounting assembly is constructed to move and deform in predetermined ways when it is subjected to relatively large forces such as might occur when the vehicle is involved in a traffic accident. The battery mounting assembly has one or more bumper components intended to protect batteries mounted to the battery mounting assembly from being subjected to a direct impact. Steel components of the battery mounting assembly are coated with an elastomer that has a high electrical resistance.

The invention provides a road traffic accident early warning method. Traffic accident data and traffic violation data are connected through driver identity information; traffic accident high-risk personnel decision tree judgment is performed through traffic accident personnel characteristic analysis so that accident high-risk personnel and the occurred accident types are obtained; environment variable characteristic analysis is performed so that a road type and processing grade table can be obtained, and the accident high-risk time, weather and vehicle color rules can be obtained; and the obtained accident high-risk personnel and the occurred accident types are corresponding to the accident high-risk environment variables, targeted driving prompting is performed through combination of the driver characteristics and the environmental conditions, and accident early warning is also performed. According to the method, the accident high-risk drivers and the accident high-risk road segments are combined, and the influence of time, weather and other environmental factors is added so that the objectives that the accident high-risk drivers can be judged, the occurred accident types of the drivers can be judged, the high-risk accident road segments are corresponding to the specific driver types, and the accident personnel, the accident types and the accident road segments are organically combined can be achieved.

The invention provides an automatic drive vehicle test scene construction method based on traffic accident case deconstruction. The method comprises the following steps of (1) extracting scene elements used for testing an automatic drive vehicle by analyzing characteristics of a real traffic scene; (2) arranging a test scene of the automatic drive vehicle, thereby generating test cases used for testing the automatic driving vehicle; and (3) arranging a test scene collaborative control system. The scene elements and typical features are analyzed and extracted through clustering analysis, and important parameters in the real traffic scene are converted into test parameters in combination with cause analysis, so that an automatic drive urban complex traffic scene safety adaptability test evaluation method suitable for industrial development and third-party certification evaluation is constructed.

The invention relates to a mountainous road traffic safety dynamic early-warning system which comprises a traffic accident analysis early-warning module, a traffic flow detection module, a road alignment module, a weather forecast module and a variable traffic sign LED display screen, wherein the traffic flow detection module, the road alignment module, the weather forecast module and the variable traffic sign LED display screen are connected with the traffic accident analysis early-warning module. The traffic flow detection module is used for dynamically collecting traffic flow data on the road, the weather forecast module is used for dynamically collecting weather conditions, the road alignment module conducts static collection and is used for collecting the geometrical features of the current road alignment, and the traffic accident analysis early-warning module conducts data real-time interaction with the traffic flow detection module, the weather module and the road alignment module. The mountainous road traffic safety dynamic early-warning system is mainly used for mountainous road traffic safety early-warning and is installed on a place where accidents frequently occur, and traffic accidents such as tailgating, handrail collision and the like when vehicles run on the mountainous road are avoided according to traffic controlling strategies of device output vehicle speed limit, traffic flow control and the like.

The invention relates to a risk evaluation model-based traffic accident happening probability acquiring method and a system to acquire a traffic accident happening probability of a monitored road section in real time. The method comprises the following steps of: 1) constructing a traffic accident risk evaluation model according to a preset relation between multiple accident predictive index variables and the traffic accident happening probability; 2) calibrating parameters of the traffic accident risk evaluation model according to traffic flow data of the monitored road section before and after a traffic accident so as to obtain traffic accident risk evaluation model after calibration; 3) acquiring traffic flow data of the monitored road section in real time or at intervals of a preset time so as to determine a specific numerical value of each accident predictive index variable; and 4) acquiring a real-time traffic accident happening probability of the monitored road section according to the specific numerical value of each accident predictive index variable and the traffic accident risk evaluation model after calibration. Compared with the prior art, the method and the system provided by the invention have the advantages of being real-time, accurate, and universally applicable, quick in calculation and the like.

The invention discloses a traffic accident automatic identification processing method and system based on videos. The traffic accident automatic identification processing method and system based on the videos comprises the steps of respectively setting up three-dimensional feature libraries of different vehicle types, obtaining road video image sequences, carrying out foreground vehicle separation based on background modeling, carrying out static target judgment based on target centroid displacement, recognizing the vehicle types based on a vehicle outer contour recognition algorithm of three-dimensional modeling, judging whether a traffic accident occurs or not according to whether contour deformation occurs or not, extracting improved SIFT feature points of the vehicles based on an improved SIFT feature recognition algorithm of vehicles of the three-dimensional modeling, and judging whether a traffic accident occurs or not according to comparison results of the improved SIFT feature points. The traffic accident automatic identification processing method and system based on the videos judges whether vehicles on a current road are driven safely or not by analyzing images collected by a camera, collects information of a traffic accident scene in first time of a traffic accident, and transfers the information to a commanding monitoring centre. Workers can effectively and timely work by watching the videos, and the traffic accident automatic identification processing method and system based on the videos plays a huge role in perfecting a whole intelligent traffic system.

This application discloses a traffic accident warning method performed by a computing device. After obtaining location data of a first vehicle and a second vehicle respectively, and videos captured by a first video camera onboard the first vehicle and a second video camera onboard the second vehicle, the computing device generates traffic scenes based on the road status data, the vehicle motion data, the pedestrian motion data obtained from the videos, and broadcasted traffic data, and then generates traffic accident models based on past traffic accidents, synthesizes a simulation video including one or more target features based on the traffic scenes and the traffic accident models at a target area associated with the target features. Finally, the computing device performs traffic accident prediction based on the simulation videos and sends warning information to the first vehicle in accordance with a determination that the first vehicle is about have an accident in the target area.

The invention belongs to an intelligent early warning protector for dangerous events. The protector is formed by modular integration design of front detection apparatuses (a distance sensor, a speed sensor and the like), an analysis processing unit and a warning message output unit (a large-decibel high pitch warning horn, a high-lighting danger warning lamp and a light-emitting diode (LED) changeable message warning sign, a wireless signal emitter, a message general interaction interface and the like). By means of an early warning protection method for danger and the intelligent early warning protector for dangerous events for road workers, high-frequency distance detection sampling and speed detection sampling can be performed on a plurality of vehicles in a detection range in vehicle coming directions; approaching objects or persons around sentries are detected in real time, and by means of functions of intelligent analysis, automatic screening and warning to vehicles in the coming directions and events approaching the sentries, the output unit can send warning messages or signals to protected persons by employing different methods according to pre-settings of the protector when the protector detects that dangerous events approach. Time is gained for road work and sentry danger processing, the reaction and processing time is increased, traffic accidents and criminal cases are reduced, and positive significances are provided for guaranteeing lives and properties of people.

The invention discloses a method for determining the influence range of an urban road traffic accident based on a fixed detector, which relates to a method for determining the influence range of a traffic accident after the traffic accident happens on an urban road network completely consisting of signal-controlled crossings. The method specifically comprises the following steps: calculating the arrival rate of vehicles on an approach of a crossing; detecting the departure rate of the vehicles on the crossing; calculating the queue length based on the fixed detector; analyzing the diffusion process of congestion caused by the traffic accident; and finally determining the influence range of the traffic accident. By the invention, the real-time and accurate prediction on the influence range of the traffic accident can be achieved, thereby achieving the purpose of improving the implementary efficiency of measures for rapidly disposing the traffic accident. The method is simple and practical and has higher real-time property and accuracy.

A motor vehicle running status multi-picture audio-video signal recording instrument can combine all camera head recorded image displaying in same displaying interface, and forming record file with sound signal, said record file capable of representation above-mentioned scene and vehicle parking surrounding safety monitoring scene, and with safety warning function, said information including motor vehicle certificate number, running relative braking, steering, dipped headlight, high beam, warning lamp, foglight operation etc.

The invention discloses an intelligent traffic system based on light emitting diode (LED) visible light communication, and belongs to the field of intelligent traffic systems. The intelligent traffic system comprises LED traffic lamps, a light emitter and a light receiver, wherein the light receiver and the light emitter are arranged on one vehicle; the light receiver on a back vehicle receives a signal sent by the light emitter on a front vehicle; signals sent by the LED traffic lamps comprise a road condition and traffic lamp conditions; the signal sent by the light emitter comprises a distance between the front vehicle and the rear vehicle and a warning signal; and the light receiver receives the signals sent by the LED traffic lamps and the light emitter. Due to the method, a visible light intelligent traffic network is formed, so that road condition information, the distance between the front vehicle and the rear vehicle, the warning signal and the traffic lamp conditions which are sent by the LED traffic lamps can be received immediately; and therefore, the traffic safety is guaranteed, and the probability of traffic accidents is reduced.

The invention discloses a vehicular driving behavior real-time monitoring and alarming device which comprises a processor, a vehicular driving behavior acquisition module, an alarm and a wireless communication module, wherein the vehicular driving behavior acquisition module, the alarm and the wireless communication module are respectively connected with the processor. The vehicular driving behavior acquisition module comprises a vehicle speed acquisition module, a steering acquisition module and a brake acquisition module, acquires and transmits driving behavior data to the processor to be analyzed and judged, controls the alarm to send alarms in case of illegal driving behavior judged by the processor, communicates data with a remote vehicle control center through the wireless communication module and transmits the vehicular driving behavior data to the remote vehicle control center. The driving behavior is monitored in real time and illegal driving behavior are alarmed by the vehicular driving behavior real-time monitoring and alarming device in real time, and the vehicle management center can also acquire the illegal driving behavior of drivers in real time so as to correct the illegal driving behavior in time, ensure the driving safety, prolong the service life of vehicles, avoid traffic accidents and favorably develop good driving habits of the drivers.

The invention belongs to the technical field of image processing and mode recognizing and relates to a fatigue driving detection method based on eye and mouth states. The method includes the steps of diver's video image acquisition, light compensation preprocessing, facial area detection, comprehensive fatigue judgment and fatigue alerting. The step of facial area detection includes eye detection and mouth detection; eye detection includes acquiring an eye area by means of a projection method, analyzing eye features, comparing the eye features to standard features, and performing k-means computation and eye fatigue judgment; mouth detection includes acquiring a mouth area by the mouth-map method, analyzing mouth features, comparing the mouth features to standard features, performing p-means computation and yawn judgement. According to the method, the eye feature parameter and the mouth feature parameter are combined for judgment; compared with the use of the single parameter, the method has higher rate and reliability of fatigue judgment; by the use of the method, traffic accidents caused by driver's fatigue driving can be greatly decreased; a new preventive measure is provided for ensuring life and property safety of drivers.

The invention discloses an arterial highway and local highway access traffic dispersion system. Sensors are arranged between the outermost lane of an arterial highway and the two sides of an arterial highway access. An arterial highway guide rod device is obliquely buried under the ground of the arterial highway access. A bicycle way a certain distance away from the arterial highway access is provided with a sensor used for detecting pedestrians or vehicles and a bicycle way guide rod device. The bicycle way guide rod device is arranged in front of the sensor. A sensor and a local highway guide rod device are disposed on a right turning lane of the local highway a certain distance away from the arterial highway access. The local highway guide rod device is disposed in front of the sensor. Each guide rod device comprises a guide rod, a lifting column, a box and a drive control device, wherein the guide rod is installed on the lifting column, and the lifting column is driven by the drive control device to move up and down. Normal traffic order of the access can be guaranteed, the occurrence rate of traffic accidents is reduced, and traffic efficiency of main highways is guaranteed.

The invention relates to braking process-based dynamic automobile gravity position detector and a method. The device consists of an axle weight, a braking force detector, an axle base measuring device, a wheel base measuring device and a data collection processing system; dynamic gravity detection algorithm is obtained by derivation on the basis of braking process, the device is applied to collect axle weight and braking force signals, axle base signals and wheel base signals, thus being capable of calculating the position of the automotive gravity. Based on the automotive gravity position calculation method, sideslip and rolling-over of vehicles can be analyzed to calculate limiting values of sideslip and rolling-over of vehicles under different road conditions and give out early-warning information to avoid occurrence of traffic accidents. The invention can be widely applied in safety driving control process of various vehicles.

The invention provides an accident influence range analysis method and system based on dynamic traffic information. The method comprises the following steps: (101) whether a road segment is jammed is judged, the road segment is jammed if the current traffic capacity of the road segment is smaller than real-time traffic flow of the road segment, and a step (102) is executed; (102) a jam starting wave transmission speed is calculated, the transmission time of a jam wave in any road segment I is calculated, and an accident influence range, accident influence duration and a jam transmission path are estimated on the basis of the obtained jam starting wave transmission speed and the obtained transmission time of the jam wave in any road segment. According to the accident influence range analysis method and system based on the dynamic traffic information, dynamic traffic data are combined with road network data to realize urban road traffic accident influence range prediction, and therefore targeted prediction can be conducted on a specific accident. A coil, floating car and other data serve as predicted data and are input, the data are high in accuracy, and therefore the accuracy of a prediction result is guaranteed in terms of predicted data bases.

The invention relates to an intelligent traffic light control method. The method comprises: video image information of a road vehicle is obtained; pretreatment is carried out on the obtained video image information and a pre-training network model is constructed, a training network is built based on the pre-training network model, pre training is carried out on the built pre-training network, the training network is initialized by using pre-trained network parameters and the training network is trained by using a constructed data set until a vehicle number at a corresponding lane in a picture is detected in real time; and on the basis of original passing time, the detected vehicle number at the corresponding lane used as a parameter is substituted into a crossroad traffic light passing standard and the crossroad traffic light passing time is adjusted in real time. In addition, the invention also relates to an intelligent traffic light control system. According to the method and system provided by the invention, the green light passing time of the crossroad traffic light can be adjusted in real time based on vehicle recognition, so that road congestion can be reduced, the traffic accident can be avoided, and the passing efficiency can be enhanced.

The invention discloses a vehicle collision risk algorithm and accident pre-warning method, which comprise an on-board unit (OBU), a road side unit (RSU), a traffic information center (TIC) and an information communication unit (ICU). The OBU is used for acquiring vehicle speed, accelerated speed, a steering wheel angle and other parameters, and combining with a road traffic system to acquire a track angle of a vehicle and a real-time distance between two vehicles; the OBU transmits the parameters to the belonged RSU through a DSRC (Dedicated Short Range Communication) technology; the RSU transmits the vehicle parameters in an area to the TIC for risk calculation through an optical fiber / 5G technology; the result is forwarded to the OBU for pre-warning through the RSU. According to the vehicle collision risk algorithm and accident pre-warning method, traffic accidents can be prevented and controlled accurately, and thus the traffic jam and the frequent accidents can be effectively avoided.

The invention relates to a circular anti-collision barrel paint spraying device for traffic bridges, in particular to a high-efficiency paint spraying device for circular anti-collision barrels for traffic bridges. The technical problem to be solved by the present invention is to provide a high-efficiency painting device for circular anti-collision barrels for traffic bridges, which saves time and labor, sprays paint evenly, does not need to spray paint on the anti-collision barrels manually, and does not cause physical discomfort. In order to solve the above-mentioned technical problems, the present invention provides such a high-efficiency paint spraying device for circular anti-collision buckets for traffic bridges, which includes a cart, a paint box, a lower hopper, a water pump, a discharge pipe, a first fixed sleeve, and a first spray head. etc.; the left side of the top of the trolley is bolted to install a paint box, and the middle of the top of the paint box is bolted to install a lower hopper. The invention achieves the effects of saving time and labor, uniform painting, no need to manually spray paint on the anti-collision barrel, and furthermore, no physical discomfort, and high working efficiency.

The invention discloses an LED optical communication system arranged between a traffic light with an information issue function and a mobile vehicle body. The LED optical communication system comprises a regional traffic information managing and dispatching center, a traffic signal light system, a mobile vehicle-mounted system and a duty traffic policeman temporary information managing and traffic information reporting system. The LED optical communication system has the advantages that by the adoption of the transmission networking mode that traffic information in the form of QR two-dimensional codes is displayed by the LED traffic light and an LED car light, the network structure is simple; the LED traffic light and the LED car light can conduct wireless optical communication with a vehicle-mounted mobile body while conducting information indication, and by means of the feature that the QR two-dimensional codes are large in information storage capacity, the traffic information is issued to relieve road congestion, improve active safety precaution of vehicles and reduce traffic accidents.

The invention discloses a vehicle anticollision pre-warning system considering the driver fatigue state and response capability. The system includes a fatigue driving multi-parameter information acquisition module, a fatigue state detection and grading module, a vehicle and safe distance detection module and a fatigue driving pre-warning and control module, and different fatigue driving control response mechanisms are adopted according to fatigue degree grades. The vehicle anticollision pre-warning system provided by the invention proposes individual difference of parameters during driving of a driver, through a self-learning method of individual difference, a driving fatigue state detection and fatigue degree grading model considering individual difference is established, and the problem of fatigue misjudgment caused by individual difference of driver fatigue characteristics is solved; and at the same time, the driver fatigue state and response capability are used as one of modeling considering factors of a safe distance detection model, the problem that response action is not in time due to fatigue is effectively solved, and the occurrence of road traffic accidents is effectively avoided.

A physiological status monitoring method is disclosed, which comprises the steps of: monitoring physiological status of at least an individual stationed inside a transportation means for acquiring a physiological data of the individual; transmitting the physiological data to a center processing device; and processing an operation of analysis and comparison upon the received physiological data by the center processing device. Moreover, with respect to the aforesaid method, a physiological status monitoring system can be provided to be installed inside a transportation means, which comprises: at least a bio sensor, capable of monitoring and sensing a physiological status of at least an individual stationed inside the transportation means for generating a sensing signal; and a center processing device, arranged inside the transportation means for receiving the sensing signal and thus evaluating the physiological caodition of the monitored individual inside the transportation means. Since the physiological status of the individual stationed inside a transportation means can be monitored by the physiological status monitoring system provided by the present invention, the happening of traffic accidents can be minimized.

The invention discloses an active safety early-warning method for an automobile. The method mainly comprises the following steps of performing image acquisition on information about a front road, a front vehicle and a front pedestrian by using a monocular camera integrated on a mobile phone, performing real-time analytical calculation on the information acquired by the camera so as to estimate results such as the position of a lane where the automobile is located, a distance between the automobile and the front vehicle and whether the pedestrian is in front of the automobile or not by using intelligent processing units such as image analysis and a mode recognition algorithm of the camera of the mobile phone, and displaying the results on a screen of the mobile phone to timely prompt a driver under a dangerous condition and prevent accidents under the condition of fatigue or distraction of the driver. According to the method, the occurrence rate of the accidents can be effectively reduced.