253 results about "Road traffic accident" patented technology

The invention discloses an area road network traffic safety situation early warning system and a method thereof. The system comprises monitoring equipment, a data transmission system, a data process system and an early warning system. The method comprises the following steps: acquiring data information of road traffic, meteorology, illegal behaviors, and accidents through the monitoring equipment; sending the data information through the data transmission system; carrying out a multiple heterogeneous treatment on the acquired data information through the data process system, and merging data of the same kind; analyzing and assessing early warning grade through the early warning system, and determining and publishing a early warning scheme. Thereby road network traffic safety situation information can be comprehensively grasped, and dangerous source existing in the road network can be discovered timely to determine an early warning grade and generate an intelligent early warning countermeasure. Pertinence, instantaneity and validity of a measure of a road traffic management department actively preventing traffic accidents are improved. Technology support is provided in the invention to reduce area road network traffic risk factor and prevent major and extraordinarily serious road traffic accidents.

The invention relates to a discriminant analysis-based high road real-time traffic accident risk forecasting method. The method comprises the following steps of: building a high road accident risk discrimination model for a detection area; substituting real-time traffic flow characteristic parameters into the high road accident risk discrimination model; and judging whether the risk of traffic accident exists or not. According to the method, traffic accidents can be forecasted in real time by using the real-time traffic flow characteristic parameters acquired by high road traffic detection equipment, the method has relatively high forecasting precision, and technical defects and shortages in the prior art for analyzing traffic safety by using aggregated statistics are overcome. The methodhas practical engineering application value in the aspects of discrimination of the risk of the high road traffic accidents and forecast of the traffic accidents.

The invention relates to a monitoring and evaluation method of driving behavior risk degrees and belongs to the technical field of automobile active safety. The method includes that steering wheel rotating angles, vehicle speed, longitudinal acceleration and transverse acceleration are real-timely collected; the real-timely collected data are arranged to form a data sequence in chronological sequence; driving risk degrees of acceleration, braking, overspeed, lave maintaining and lane changing are monitored and evaluated respectively according to vehicle state parameter and driver operation parameter information; comprehensive monitoring and evaluation of total driving risk degree at current moment is performed according to each risk degree index that is obtained in time window wide range so that a comprehensive monitoring and evaluation value at the current moment is obtained. Communication of the obtained comprehensive monitoring and evaluation value with a driver is achieved through an on-line real-time early warning man-machine interaction mode, and thereby, purposes of improving driving safety qualities and reducing road traffic accidents can be achieved.

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 discloses a vehicle-mounted health monitoring system based on the internet of vehicles. The system comprises a vehicle-mounted terminal, a service platform of the internet of vehicles and a mobile terminal; the vehicle-mounted terminal comprises a wearable device and a vehicle-mounted communication unit, the wearable device is provided with a data collecting unit collecting the blood pressure, the heart rate, an electrocardiogram and body temperature of a wearer and a data uploading unit and a power supply unit which communicate with the vehicle-mounted communication unit, and the vehicle-mounted communication unit communicates with the wearable device and uploads the obtained data to the service platform of the internet of vehicles; the service platform of the internet of vehicles comprises a communication base station communicating with the vehicle-mounted terminal and the mobile terminal, a processing unit storing the received information and a storing unit storing the received information; the mobile terminal is a smartphone which can receive information of the service platform of the internet of vehicles. By means of the vehicle-mounted health monitoring system based on the internet of vehicles, health of a driver can be guaranteed, road traffic accidents are reduced, and the system has the functions of being high in expansibility, capable of being achieved rapidly and easy to apply and popularize on a large scale.

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.

The invention discloses an automobile oblique collision accident analytic computation and simulative reappearance computer system for road traffic accident assessment of the public security traffic administrative department, which can use basic data obtained by investigating the accident scene to compute driving speed and collision speed of the automobiles in the automobile oblique collision accident, and realize the two-dimension track description, the third-dimension process reappearance, the output of a main computation data table of the automobile oblique collision accident and the output of an accident occurrence process brief text of the accident automobiles. The invention is suitable for being extensively popularized for effectively improving the technological content of traffic accident assessment and treatment so that the analysis assessment result is easy to be highly recognized by the traffic administrative department, the accident assessment authority and the accident parties; the system plays an important role in distinguishing responsibility, avoiding aggravating contradiction, reducing social unstable factor, enhancing harmonious operation of the social life and the like so as to promote the development of the assessment of road traffic accident in our country in a more scientific, accurate and authoritative direction.

The invention relates to a monitoring method for cognitive distraction of a driver on the basis of multi-source information fusion, and belongs to the technical field of automotive active safety.The method comprises the steps that the steering wheel angle, the vehicle speed and the head orientation and fixation point position coordinate information of the driver are collected in real time; data collected in real time is arranged into a data sequence according to the time order; according to a time-domain statistical indicator set (cognitive distraction characteristic set) of the steering wheel angle, the vehicle speed and the head orientation and fixation point position coordinate information of the driver is calculated within the computing time window length range, and real-time monitoring is conducted on the cognitive distraction state of the driver by adopting feature-level multi-source information fusion based on a support vector machine.Therefore, the purposes of improving the driving safety and reducing road traffic accidents are achieved.

The invention provides a vehicle intelligent rear viewing method in the vehicle intelligent technical field, comprising the following: step one is to acquire a scenery image from the posterior lateral of the vehicle by two needle cameras arranged on a left rear view mirror and a right rear view mirror of the vehicle respectively and a needle camera arranged on a rear deflector door of a vehicle body; step two is to perform a pretreatment to the acquired scenery image; step three is to perform an edge detection for the pretreated image based on a method of mathematical morphology of multi-structural elements; step four is to form a sampling round region and perform a polar-log grid sampling to an edge image occurring in the sampling round region; step five is to perform an image data conversion to the edge image received from the polar-log grid sampling; step six is to perform a recognition of a motion state to the converted image data; and step seven is to perform a decision operation and output an execution command according to the recognition result of the motion state. The vehicle intelligent rear viewing method improves the safety technical level of the vehicle and reduces the occurrence probability of road traffic accidents.

The embodiment of the invention discloses a method and a device for data mining of a road traffic accident based on an association rule, which relate to the field of communication. In order to realize effective analysis and counting correlative with occurring condition factors of the accident and serve the jobs of accident prevention, treatment, decision and the like, the invention provides a technical scheme of: acquiring historical data in a prescribed time range and a prescribed road section range from the historical data of the road traffic accident as association rule mined data; determining the attribute of the traffic accident of the association rule mined data; acquiring a frequent item set according to the association rule mined data, the attribute of the traffic accident and the minimum support; and acquiring an accident association rule according to the frequent item set and the minimum degree of confidence. The method and the device are suitable for real-time dynamic traffic information services.

The invention discloses a traffic accident scene three-dimensional reconstruction system based on unmanned aerial vehicle aircraft aerial photography. The system comprises an unmanned aircraft system which comprises an unmanned aircraft body used for carrying and flying, an inertial measuring unit, a positioning and orienteering module, a communication module and an airborne camera, a ground control platform which communicates with the communication module of the unmanned aircraft system to realize control communication and picture information transmission, and an accident scene three-dimensional image processing system which communicates with the ground control platform to transmit picture information. According to the invention, the image collection of a road traffic accident scene is carried out from different heights and angles by setting the flight route and the waypoint of the unmanned aircraft; a multi-view stereoscopic vision processing technology is used to establish a three-dimensional traffic accident scene model; and from the technical point of view, the method gives full play to the advantages of maneuvering, flexibility and good viewshed of the unmanned aircraft.

A vehicle intelligent device for automatically identifying road pit or obstruction in the technical field of vehicle intelligentialization comprises a binocular pinhole camera, a signal processor, a vehicle speed control mechanism and a voice prompting device; the output interfaces of the binocular pinhole camera are respectively connected with two image input interfaces of the signal processor, and the output interface of the signal processor is connected with the input interface of the vehicle speed control mechanism and the input interface of the voice promoting device in parallel. The binocular pinhole camera transmits the road scene image analog signals respectively collected to the signal processor; the signal processor processes two images in real time, identifies whether pit or obstruction exists in front of the current vehicle, and transmits identification result to the vehicle speed control mechanism and voice promoting device by control command. Once finding out pit or obstruction in the invention, the system can send out control command right now and the vehicle is automatically decelerated, thereby ensuring driving safety; and the incidence rate of road traffic accidents such as vehicle rear-end collision and impact can be obviously reduced.

The invention provides a system used for driver remote monitoring and driver abnormity early warning. The system comprises a video detecting machine used for detecting and judging the sight direction of a driver and a GPS / big dipper double-module receiver used for detecting the position of a motor vehicle and the running speed of the motor vehicle. The output end of the video detecting machine and the output end of the GPS / big dipper double-module receiver are electrically connected with the input end of a processor used for processing data and judging the attention of the driver. The output end of the processor is electrically connected with a warning device. The invention further discloses a method for remote monitoring and abnormity early warning. The sight direction of the driver is collected and detected through the video detecting machine, the position and the running speed of the motor vehicle are collected through the GPS / big dipper double-module receiver, therefore, judging of the attention states of the driver and detection of the abnormal states of the driver are realized, different warning measures are provided according to different abnormal states, and remote on-way driver real-time monitoring and remote on-way driver abnormity warning are realized. Thus, road traffic accidents are avoided.

The invention relates to a field mapper of traffic accidents based on binocular solid all-directional vision. The mapper comprises two all-directional vision sensors with the same imaging parameters, a connecting unit and a microprocessor used for data processing and drawing of the field chart of the road traffic accidents on the panoramic picture obtained by the two all-directional vision sensors. The all-directional vision sensor comprises a hyperboloid mirror face, a supporting bar, a transparent glass surface and an image pickup unit; the supporting bar takes the shape of a tapering round platform and the upper end of the supporting bar is fixed in an ostiole at the bottom center of the hyperboloid mirror face, and the lower end of the supporting bar is fixed on an additional lens frame embedded by the transparent glass surface in a mounting hole at the center of the transparent glass surface by screws; the supporting bar is vertical to the transparent glass surface, and the image pickup unit is arranged in the additional lens frame; the mapper automatically measures the coordinate data of related characteristic points, finally, a field record chart, a field scale map, a field section map, a field elevation drawing and a field analysis chart of the traffic accidents are automatically drawn according to the characteristic data.

The invention discloses a road traffic accident risk factor analysis method based on a random forest. According to the road traffic accident risk factor analysis method, influence factors related to four aspects of people, vehicles, roads and environments and corresponding accident severity data are extracted when traffic accidents occur; a road traffic accident severity prediction model is established according to a random forest prediction model algorithm; model training is carried out, and model parameters are adjusted; and then variable importance measurement is carried out on the established prediction model by using a Gini exponential method, and importance sorting is carried out on related risk factors, and factors which have a remarkable influence on the severity of the accident are identified. According to the road traffic accident risk factor analysis method, influence factors of road traffic accidents, deep mining risk factors and accident severity can be considered in many aspects, and road safety management is facilitated.

The invention discloses a road traffic safety evaluation method. Road traffic safety levels are evaluated from multidimensional angles by selecting ten feature indexes on the basis of road traffic accident statistic data. The road traffic safety evaluation method based on the fuzzy C average value clustering is provided for determining the road traffic safety levels, a road traffic safety level division model suitable for an area level is established, the area difference is adjusted by designing an area diversity coefficient, and the provided method can divide the road traffic safety levels in an area, and evaluate the road traffic safety level in the area.

The invention discloses a road traffic accident judging method and device. According to the invention, lane lines are extracted from video images through obtaining the video images of a monitored road section; performing multi-target detection tracking on vehicles on each lane and determining driving tracks of the vehicles; according to relative positions of the driving tracks of the vehicles and the lane lines, judging whether the vehicles have lane change or not and determining lane change when the driving tracks of the vehicles deviate from the range of the current lanes; judging whether the vehicles have sudden stop or not according to coordinate differential values of vehicle feature points in video images of adjacent frame numbers and determining the sudden stop when the coordinate differential values are smaller than a preset threshold value; and determining traffic accidents in the monitored road section when detecting that multiple vehicles in one lane in the monitored road section have lane change and / or sudden stop. The method and device provided by the invention improves accident judging accuracy and can handle extreme traffic accidents with huge deformation of vehicles and the like well.

The invention discloses an automobile and ground fixed object collision accident analytical calculation and simulation reproduction system for road traffic accident appraisal of the public security traffic management department. In the system, the running speed and the collision speed of an accident automobile in an automobile and ground fixed object collision accident can be calculated by using basic data investigated on the accident site, and two-dimensional locus description of the accident automobile, three-dimensional process reproduction, main calculated data table output of the automobile and ground fixed object collision accident and accident process summarizing text output are realized. The system effectively improves the technical content of traffic accident appraisal and processing, so that the analysis and appraisal results of the system are easily high approved by the traffic management department, the accident appraisal unit and the accident parties; and the system plays an important role in distinguishing responsibilities, avoiding sharpening contradiction, reducing unstable factors of the society, promoting harmonious operation of social life and the like. The system can be widely popularized and applied, and has obvious industrial generality and social public welfare.

The invention discloses a method for safety control of a highway entrance ramp based on vehicle-vehicle networking.According to the method, vehicles of a mainline and an entrance ramp are subject to vehicle-vehicle networking through a control center, so as to achieve timely speed reduction and lane changes of vehicles, reduce traffic accident rate of the highway entrance ramp and improve traffic safety of a highway.The method comprises the steps of traffic data collection, vehicle information collection by the control center, collision risk judgment, vehicle safety speed reduction and lane change and the like.The method is simple in design and easy to calculate; through vehicle-vehicle networking, vehicle speed control and lane change operations can be performed accurately, road traffic accidents are reduced, and traffic safety of the highway is effectively improved.The method for safety control of the highway entrance ramp based on vehicle-vehicle networking has very practical engineering application values in the aspect of highway traffic management and control.

The invention relates to a traffic accident scene surveying instrument based on active, stereoscopic and omnibearing vision, which comprises an omnibearing vision sensor, a laser full-view structure light generator, a connecting bracket, a GPS sensor and a microprocessor, wherein the omnibearing vision sensor is provided with a fixed view point; the laser full-view structure light generator is provided with a fixed light-emitting center point; the GPS sensor is used for positioning a traffic accident scene and automatically generating a road plane figure; the microprocessor is used for carrying out road traffic accident scene figure drawing on an image of the omnibearing vision sensor; the fixed view point of the omnibearing vision sensor and the fixed light-emitting center point of the laser full-view structure light generator are arranged on the same axis; and the microprocessor comprises an LD light source control unit, a video image reading module, a shooting point position information acquiring module, a preset road plane map generating module, a direction and position information analyzing module, a scene video image processing module, a space position information calculatingmodule of all measurement points and a scene accident figure generating module. The invention simplifies the complexity of calculation, omits the calibration work of a camera and has high environmental applicability and rapid and accurate measurement.

The invention discloses a method for identifying reasons of major traffic accidents based on association rules. According to the method, the data of the major traffic accidents are extracted from an annular report for road traffic accidents over the years in China and the extracted accident data are divided into five accident variables, including pedestrians, vehicles, roads, environments and other factors. On the basis, the method comprises the following steps: performing association rule analysis; setting the reasonable threshold values of support degree, confidence coefficient and upgrading degree in the association rule analysis for the major traffic accidents; calculating the association rules of two-item set, three-item set and four-item set of the major traffic accidents on the basis of Apriori algorithm; analyzing by combining with the support degree, confidence coefficient and upgrading degree of the output rules; identifying the common reasons and accident occurrence mechanisms of the major traffic accidents. According to the method provided by the invention, the randomness and the subjective judgment influence of the decision maker can be reduced, the reasons of the major traffic accidents can be effectively identified and the accident occurrence mechanisms of the major traffic accidents can be analyzed.

The invention is concerned with the distinguishing method for the road with more traffic accident. The invention uses double target of alpha-gamma to distinguish the road with more traffic accident, assigns the remarkable level alpha, according to the Poisson probability formula or the frequency accumulation chart, after computes the critical value gamma of the high accident number and the critical value R of the high accident rate, compares the gamma and the R of the un-distinguish road to get the distinguishing result of the road with more traffic accident.

The invention discloses a vehicle collision prevention early warning method based on vision. The method comprises steps that two determination conditions including a lane line length and a gradient are added to a detection lane line to carry out Hough transform, and a lane line of a self vehicle is extracted; at a detection target vehicle portion, in combination with a normal distribution function, an OTSU method is employed to combine an improved method of a genetic algorithm (GA) to separate a target and the background; at a distance measurement portion, a method combining geometric relation projection with camera calibration is employed, danger determination is carried out according to a relative distance, and collision prevention early warning is realized. According to the method, the distance between the self vehicle and a front vehicle can be more accurately estimated, a driver is prompted through alarming to adopt measures for processing, and road traffic accidents can be greatly reduced.

The invention discloses a simulation and reconstruction system of the loss of control of one vehicle and collision of two vehicles combined accident. The system is used for road traffic accident appraisal in the traffic control departments. The system can calculate the driving speed and collision speed of each vehicle in the loss of control of one vehicle and collision of two vehicles combined accident by utilizing the basic data obtained through accident site investigation and can be used for realizing the two-dimensional track description and three-dimensional process reconstruction of the accident vehicle, output of the main calculating data table of the loss of control of one vehicle and collision of two vehicles combined accident and output of the brief text of the accident process. The system can be widely popularized and applied and can be used effectively improving the technology contents of traffic accident appraisal and disposal, and the analysis and appraisal results of the accident can be highly identified by the traffic control departments, the accident appraisal units and the accident parties, thus the system provided by the invention plays important roles in distinguishing the responsibilities, avoiding the intensification of the contradictions, reducing the social instability factors and improving the harmony of the social lives.

The invention discloses a computer system for analyzing, calculating, simulating and reconstructing a vehicle-pedestrian collision accident, which is used for road traffic accident assessment of a public security traffic management department. Through the system, running speed and collision speed of an accident vehicle in the vehicle-pedestrian collision accident can be calculated according to basic data acquired by accident scene inspection, and two-dimensional track description and three-dimensional process reconstruction of the accident vehicle, and main calculating data table output and accident occurrence process brief text output of the vehicle-pedestrian collision accident are realized. Through the system, technological content of traffic accident identification and handling is effectively improved, so the analysis and assessment result of the system can be easily and highly accepted by the traffic management department, an accident inspection organization and accident parties;therefore, the system plays an important role in distinguishing responsibility, avoiding contradiction intensification, reducing social instability factor, enhancing harmonious development of social life and the like; meanwhile, the system can be widely popularized and applied and has obvious business commonness and social public benefit.

The invention relates to an intelligent traffic rod. The intelligent traffic rod includes a main pole composed of a hollow tube, a cantilever fixedly connected with the main pole, an inspection door which is arranged at a lower part of the main pole and is internally provided with a control circuit board equipped with a central control system, a HD camera which is arranged on the main pole and isused for monitoring the road in real time, and a communication device which is disposed on the main pole and includes a dedicated short-range communication module and a remote communication module, wherein the central control system is used for performing bus priority strategy operation based on the information obtained through the dedicated short-range communication module and transmitting the operation result as a bus control signal to corresponding vehicles through the dedicated short-range communication module, the central control system is further used for automatically identifying an abnormal state detected by the HD camera, further identifying presence of vehicles in the roadside parking space and transmitting the automatic identification result to a cloud platform through the remote communication module, and the abnormal state includes the abnormal situation such as road water accumulation, facility damage, road traffic accidents, and the like.

The invention discloses a method for applying text mining to road traffic accident data processing. The method comprises the following steps of carrying out Chinese word segmentation on the road traffic accident data sample, carrying out three-dimensional vectorization on the sample data set through a word embedding model, establishing a large-scale text classification network TextCNN through a neural network CNN, and outputting key traffic information. According to the invention, the traffic accident record text is processed based on the natural language processing technology. T he python language and the c + + language are comprehensively applied to develop the accident cause repair system, accident data records can be automatically processed on a large scale, the quality of the accidentdata is effectively improved, and the accident cause repair system is easy and convenient to operate, efficient in processing, visual in information and accurate in cause analysis; text data are fully applied and are convenient to use in the process of establishing the model. The manufacturing cost is low, the defect of structural recording of road traffic accidents in China is effectively overcome, and traffic accident data can be efficiently and accurately repaired.

The invention discloses a sideslip and rollover pre-warning system for vehicles on a bridge under crosswind circumstances. The sideslip and rollover pre-warning system includes a wind speed and wind direction detecting device, a road condition detecting device, and an information processing and intelligence output device. A wind speed and wind direction sensor is arranged in the wind speed and wind direction detecting device. An icing and humiture sensor is arranged in the road condition detecting device. The information processing and intelligence output device is composed of a third microcontroller, a third ZigBee communication module, a third voltage-stabilized source, and an LED display screen, wherein the third ZigBee communication module, the third voltage-stabilized source and the LED display screen are connected with the third microcontroller. According to the sideslip and rollover pre-warning system, the critical speed of vehicle sideslip or rollover is calculated according tothe vehicle strained condition to remind vehicles crossing the bridge to be driven below the speed limit, phenomena of the vehicle sideslip and the rollover when vehicles cross the bridge are avoided, and bridge road traffic accidents are reduced.

A road traffic accident prevention and control device is composed of a single-chip microcomputer, a GPS module, a wireless transceiver module, a collision sensor, a voice and display reminder module and the like. A road traffic accident prevention and control method, comprising a vehicle distance, vehicle speed, abnormal parking calculation and processing module, a collision perception and processing module, a voice and display reminder module, and mutual information transmission modules. The present invention can effectively prevent and control malignant traffic accidents on modern highways, and can directly send accident information to follow-up vehicles in a very short time to prevent serial collisions, and continue to send information to various toll stations and management centers, and timely Rescue measures are taken to remind the driver of the distance and speed of the vehicle in time, effectively avoiding the occurrence of vicious traffic accidents on the expressway.