415 results about "Transport accidents" patented technology

The invention discloses an early warning method and a device for vehicle collision. The early warning method is characterized in that the method comprises the following steps: after a vehicle is fired, colliding an early warning system to begin initializing each parameter, using an OBD information collection module, a sensor information collection module and a GPS information collection module to collect information of the vehicle, using an inter-vehicle information exchange module to collect peripheral vehicle information, sending the information of the vehicle to the peripheral vehicles, calculating individualized collision probability according to self state of a driver, and warning the driver; and the device consists of the OBD information collection module, the sensor information collection module, the GPS information collection module, the inter-vehicle information exchange module, an information exchange module in the vehicles, a collision detection module and a vehicle collision warning module. Each module exchanges information in the vehicle through a wireless local area network in the vehicle, does not change an electric line of the vehicle and does not increase wire harness inside the vehicle, and can effectively reduce occurrence of traffic accidents, so as to reduce casualties.

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.

The invention discloses a vehicle forward collision pre-warning method based on deep learning. The vehicle forward collision pre-warning method comprises the steps that forward image information of avehicle is obtained in real time through a vehicle-mounted camera, and an image is pre-processed; the vehicle characteristics in the image are extracted through a multi-scale deep convolutional neuralnetwork, and a vehicle target is identified and positioned; according to the vehicle position in the image and based on the geometrical relationship projection and camera parameters, the distance between the current vehicle and a forward vehicle is calculated; the relative speed is calculated through the change of the real-time distance between the main vehicle and the forward vehicle; and the collision distance is calculated through the relative speed and the distance between the two vehicles, the danger level of the vehicles is judged according to the calculation result, and the corresponding collision pre-warning strategy is mobilized accordingly. According to the vehicle forward collision pre-warning method, the forward vehicle information can be obtained in real time, the distance between the current vehicle and the forward vehicle and the collision time of the current vehicle and the forward vehicle are estimated accurately, the proper pre-warning measure is made, safety drivingis guaranteed, and traffic accidents are reduced.

The invention discloses a method for checking traffic accidents automatically through road site video, and includes the following steps: 1) install electronic eyes at black spots; 2) transmit video images shot by electronic eyes to a monitor server; 3) the monitor server makes continuous analysis of the video images. If the moving subjects in the video images stop suddenly and keep still for a while, the subjects are assumed to encounter traffic accidents. The invention will automatically trigger the server to give alarm to the alarm center, and record the process and site of the traffic accidents automatically. The technical proposal of the invention can realize automatic analysis of traffic accidents through electronic eyes, discovering and processing traffic accidents as early as possible to lower the loss of people involved and the stability of the society with low construction and operation costs.

Certain embodiments of the present disclosure provide a traffic monitoring system and methods of use. This traffic monitoring system may be suitable for automatic monitoring of vehicle traffic at desired locations such as, for example, traffic lights, school zones, construction zones, remote locations, locations having high traffic accidents and / or locations with frequent traffic violations. The traffic monitoring system may be employed for detecting traffic violations involving a vehicle (e.g., running a red light, speeding and / or driving while using a cell phone) and collecting information associated with the vehicle and / or the operator of the vehicle. The traffic monitoring system may include one or more portability features that may make this system well-suited for deployment and redeployment at any number of desired locations, for example where traffic monitoring is desirable but suitable permanent infrastructure is not in place or is cost prohibitive.

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.

An embodiment of the present invention discloses a motor-vehicle accident liability determination method and system. The method comprises the following steps of: acquiring driving state data and driving behavior data recorded in an motor-vehicle data storage device; extracting the driving state data and the driving behavior data corresponding to the accident information according to an accident analyzing instruction carrying accident information; and determining the liability for motor-vehicle accidents to be with motor-vehicle breakdowns and / or driving behaviors according to the driving state data and the driving behavior data. According to the motor-vehicle accident liability determination method and system in the embodiment of the present invention, the motor-vehicle data storage device monitors the driving state data and the driving behavior data during the driving process so as to provide the basis for defining the liability of the traffic accidents and quickly define the responsible party of the accidents. In addition, the timeliness of field investigation is solved; and data support is provided for automobile performance and safety analysis.

The invention relates to a traffic safety rescuing system, in particular to an important traffic accident active rescuing system based on the internet of vehicles. The important traffic accident active rescuing system is composed of a vehicle-mounted terminal, a monitoring center upper computer system, an emergency alarming terminal and the mobile internet. When the vehicle speed is higher than or equal to a certain set threshold value, an alarm program is activated by the vehicle-mounted terminal to continuously detect the two variables of the vehicle accelerated speed and the speed-to-zero time, and alarming is triggered when the two variables accord with the designed threshold value; a voice and buzzing alarm is given by the vehicle-mounted terminal to draw attention of pedestrians and nearby residents to acquire fast rescuing from a close distance; alarming information and accident spot information are sent to the monitoring center upper computer system and the emergency alarming terminal through the internet of vehicles, and remote alarming is triggered to acquire accurate and timely rescuing from professional organizations. The traffic safety rescuing system can actively carry out short-range and remote alarming and determine accident spots when the driver is insensible or gets lost, and can greatly shorten accident rescuing time and guarantee life and property safety.

Devices located with moving objects (e.g., people or cars) can function as probes of traffic conditions. One way that such probes can operate is by making sporadic reports (e.g., for example, after a given road segment is traversed, a report can be made). However, in such a reporting scheme, a traffic incident that prevents or delays completion of that road segment would go unreported until the probe finished the segment. Thus, these aspects provide methods and systems to detect unexpected conditions that prevent / delay completion of such road segments, and responsively generate an out-of-cycle report that can be used in alerting others of such condition. Progress on that segment can continue to be monitored, with periodic updates, when the segment ultimately is finished, the probe can send a final report for that segment. The report can contain data indicative of an average speed on the road segment (or the portion of it completed, when detecting an unexpected condition).

The invention discloses a system and method for monitoring and early warning of high-threat vehicles, and belongs to the field of smart vehicle safety early warning. The system comprises an information identification module, a data communication module, an information processing and determining module and an early warning prompting module. The existence of high-threat vehicles is determined by real-time monitoring license plate number information, vehicle speed information and vehicle distance information of front and trailing vehicles to notify the vehicle drivers to decelerate and avoid high-threat vehicles, reducing traffic accidents. Vehicle driving habit information, such as regulation violation historical information, accident processing historical information and vehicle model information, can be obtained according to identified license plate number information. Whether vehicles in the surrounding are high-threat vehicles is comprehensively determined in combination with vehicle speed and vehicle distance information. The determination method is simple and easy to realize, thereby advancing the early-warning time, and lowering accident occurrence probability.

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.

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 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 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 vehicle safety monitoring method, a vehicle safety monitoring system and a vehicle having the same. The monitoring method comprises the following steps of judging whether a driver intends to turn left or right; if the driver intends to turn left or right, controlling left radars or right radars to be started to scan whether an obstacle exists in the left blind area or right blind area; and performing alarming if the obstacle exists in the left blind area or right blind area. Firstly, whether the driver intends to turn left or right is judged, secondly, if the driver intends to turn left or right, the left radars or right radars are controlled to be started to scan whether the obstacle exists in the left blind area or right blind area, and if the obstacle exists, alarming is performed, thus vehicles running in the blind areas are effectively monitored, and traffic information of a lane to which the driver intends to change is provided for the driver accurately, so that the occurrence of traffic accidents is avoided, and potential safety hazards are eliminated.

The invention discloses an information interaction system for a driverless vehicle and non-intelligent traffic participants. A first information acquisition unit is configured to obtain pedestrian information and signal lamp information, to perform calculation in combination with the speed data of a vehicle body, to determine whether to give way to pedestrians or not, and to project first and second driving signals onto the ground according to the way-giving determination to remind the surrounding vehicles and pedestrians whether to give way to the vehicle body, thereby providing a simple and efficient information interaction method for the driverless vehicle and the non-intelligent traffic participants. The projection unit of the information interaction system projects a third traffic signal and a deceleration signal to the ground according to the operating mode of the vehicle body (for example, steering and deceleration) and a safe distance to the vehicle body to remind surroundingvehicles to drive safely, and projects a danger zone signal to remind the pedestrians and vehicles to keep clear in order to reduce traffic accidents. In addition, an image acquisition unit, a display unit, and a V2X device prevent the sizes of large vehicles from shielding the sight of peripheral vehicles and pedestrians.

The invention provides a vehicle recorder and public security comprehensive monitoring system. The vehicle recorder and comprehensive monitoring system comprises vehicle recorders, a comprehensive monitoring system body, a monitoring system body, a traffic accident handling system and a microcomputer station network system, wherein the monitoring system can be in network connection with a province, a city and a county, process videos shot by the vehicle recorders and record traffic tracks of the vehicle recorders in real time; the traffic accident handling system achieves traffic responsibility determination according to the videos shot by the vehicle recorders in real time; the microcomputer station network system is used for transmitting video data and vehicle traffic recorder positioning data in real time. By means of the vehicle recorders, the functions of remote accident responsibility determination, reproduction of crime scenes, full-coverage monitoring, real-time traffic volume monitoring and the like can be achieved directly through the comprehensive monitoring system body erected on a traffic police or public security server, attendance frequency of traffic police, the public security department and the like can be greatly reduced, and waiting time and tracking network construction for handling accidents are reduced.

The invention discloses a traffic accident message publishing method and server, and the method comprises the steps that the server receives a first traffic accident message, wherein the first traffic accident message is transmitted by a first terminal, and at least comprises accident state description information, accident affected lane information, accident positioning information and direction; the server at least determines the transmission range of the first traffic accident according to the accident positioning information in the first traffic accident message; the server obtains the identification information of a second terminal corresponding to the transmission range of the first traffic accident, wherein a vehicle corresponding to the second terminal is located in the transmission range of the first traffic accident; the server transmits the first traffic accident message to the second terminal according to the identification information of the second terminal, so that the vehicle corresponding to the second terminal takes measures to avoid the congestion caused by the first accident in advance.

The invention relates to a traffic safety prompting method and device. The traffic safety prompting method and device are used for providing an effective safety prompt for a user when the user drives a vehicle. The method includes the steps of automatically obtaining license plate information, monitored at present, of a target vehicle, obtaining historical driving records of the target vehicle according to the license plate information of the target vehicle, judging whether the target vehicle meets traffic safety prompting conditions or not according to the historical driving records of the target vehicle, and outputting the traffic safety prompt when it is determined that the target vehicle meets the traffic safety prompting conditions. According to the traffic safety prompting method and device, historical driving records of vehicles can be obtained according to license plate numbers of the vehicles, and traffic safety prompts are output when the historical driving records of the vehicles meet traffic safety prompting conditions, so users can take corresponding measures according to the traffic safety prompts, the situation that potential safety hazards are caused by vehicles with poor historical driving records to the users is avoided, and the occurrence rate of traffic accidents is greatly lowered.

The invention provides a method of analyzing vehicle dynamic position in traffic accident; the method comprises the steps of S1, measuring, on a ground, highway dimensions and ground marking lengths by means of on-site aerial photography in order to perform integrated data acquisition; S2, acquiring monitoring video data to form a highway grid coordinate system, subjecting the grid coordinate system to calibration processing and error evaluation, and subjecting a monitoring video image containing multiple accident vehicles to grid measurement in order to determine accurate positions of the accident vehicles in the single monitoring video image; S3, analyzing travelling trajectory, speed change, braking safety distance, travelling lane and travelling direction change of each of the multiple accident vehicles, drawing the accident vehicles positioned by the grid coordinate system to a positive overlook aerial photo according to a time point sequence, and analyzing to obtain traffic accident integrated information. By drawing grid coordinates for aerial photos taken in later stage and site images about conditions of accident sites, it is possible to depict a motion trajectory of a vehicle in the traffic accident accurately.

The invention belongs to the technical field of automobile active safety and in particular relates to an automotive lateral safety comprehensive forewarning method and an automotive lateral safety comprehensive forewarning device. The invention aims to provide the method and the device which have low cost and can forewarn a driver of vehicle sideslip and rollover accidents in advance. The method comprises the following steps of: 1, acquiring vehicle and road parameters; and 2, performing automotive lateral safety comprehensive forewarning. The device comprises an on-vehicle sensor, a forewarning decision making unit and a warning and display device. Based on an on-vehicle limited number and kind of sensor information and by acquiring the vehicle and road parameters and performing the automotive lateral safety comprehensive forewarning, the method realizes the real-time forewarning of automobile sideslip or rollover accidents, and has great significance for reducing traffic accidents.

The invention discloses a comprehensive arranging method for traffic signs in continuous sharp turn sections of mountain highways. The comprehensive arranging method is characterized in that on the basis of cognitive psychology and man-machine ergonomics principles, warning signs, speed limiting signs and linear inducing signs are determined at the road sections where serious major traffic accidents easily occur, so as to further scientifically and reasonably perform deceleration prompt and induction indication before a driver drives into the continuous sharp turn sections of a mountain. The comprehensive arranging method is a careful and effective arranging method for the comprehensive arranging of the traffic signs at the continuous sharp turn sections of the mountain highways.

The invention discloses a traveling vehicle data recording method, device and system. The method comprises: judging whether vehicles within the view angle violate the traffic regulations; if yes, capturing pictures and / or video data of vehicles violating the traffic regulations, and recording the time and address information at the capturing moment; and storing the captured pictures and / or video data and the time and address information at the capturing moment as traffic violation record data together. According to the technical scheme, the traffic violation action within the view angle can be recorded, such as overspeed and red light running, and moreover, forceful evidences can be provided for assisting the traffic management department in judging the responsibility ascription when traffic accidents occur, facilitating the maintenance of interest of parties and rapid recovery of traffic order and the like.

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 vehicle and pedestrian collision preventing method and system. After a first predicted position of a pedestrian after a set time interval and a second predicted position of avehicle after the set time interval are predicated, a first predicated motion area of the pedestrian after the set time interval is correspondingly drawn according to a real-time motion speed of thepedestrian; and then a possible collision between the vehicle and the pedestrian can be predicated according to a coincidence situation between the first predicated motion area of the pedestrian and the second predicted position of the vehicle; and collision early warning is performed. According to the vehicle and pedestrian collision preventing method and system, by dynamically predicating specific positions of the pedestrian and the vehicle after a section of time in the future, the positions of the pedestrian and the vehicle can be accurately predicated; the predication accuracy is higher;the possibility of the collision between the vehicle and the pedestrian can be effectively predicated so that the collision between the pedestrian and the vehicle is effectively prevented; and therefore, a purpose of reducing traffic accidents is achieved; and the vehicle and pedestrian collision preventing method and system can be widely applied to automobile intelligent technologies.

The invention discloses a system and a method for driver fatigue analysis and early-warning. The system comprises an image pick-up unit, a fatigue analysis unit and an alarm device. The image pick-up unit is used for acquiring real-time video information of a driver; the fatigue analysis unit is used for receiving video information acquired by the image pick-up unit so as to judge whether the driver is fatigue; the fatigue analysis unit includes one or more of a human face capturing detector, a human face pose recognition device, a living body recognition device and a human face attribute analysis device; and the alarm device is used for receiving an alarm signal sent by the fatigue analysis unit and sending out alarm information. The system can be used for analyzing fatigue of the driver, has adequately high recognition accuracy, can be well compatible with an existing monitoring network to alarm timely and is stable in work, easy to upgrade and maintain and low in cost. With the system and the method, fatigue driving of the driver can be found out, alarming can be carried out timely, and traffic accidents caused by fatigue driving can be effectively avoided.

The invention provides a self-protection method and a self-protection system for vehicle rear-end avoidance early warning and a vehicle and belongs to the field of intelligent vehicles. The method comprises the following steps: acquiring driving parameters of a sample vehicle, as well as vehicle information positioned in the front and rear driving directions of the sample vehicle; determining front-direction and rear-direction collision avoidance early warning time according to the driving parameters of the sample vehicle; generating driving mode conversion information from a result obtained by comparing the collision avoidance early warning time with a preset threshold, and displaying the driving mode conversion information on a liquid crystal screen of the sample vehicle; generating a speed change instruction for controlling the vehicle by combining the rear-direction collision avoidance early warning time with the front-direction collision avoidance early warning time. The driving parameters of the sample vehicle are acquired, the rear-direction and front-direction collision avoidance early warning time is calculated and acquired, the acceleration value is further determined according to the two pieces of collision avoidance early warning time, and different acceleration, deceleration or line change or lane change manners and other treatment manners are further selected according to the acceleration value, so that the incidence rate of rear-direction rear-end traffic accidents is reduced, driving fatigue of a driver is alleviated, and the driving safety is improved.

The invention discloses a traffic early warning method, relating to the technical field of information processing, for improving the rescue efficiency of traffic faults. The method comprises: receiving an early warning message sent by a terminal of a rescue vehicle, wherein the early warning message comprises current position information and destination information of the rescue vehicle; acquiring a rescue route according to the current position information and the destination information of the rescue vehicle, and determining position information of a jam in the rescue route; determining the time when the rescue vehicle arrives at the jam position according to the current position information of the rescue vehicle and the position information of the jam in the rescue route; and sending a reminding message to a road base station, wherein the reminding message comprises the time when the rescue vehicle arrives at the jam position. The traffic early warning method is mainly applied to the vehicle traffic accident processing technology.

The invention aims to provide a fireworks and crackers transport process dynamic-monitoring and supervision system and a fireworks and crackers transport process dynamic-monitoring and supervision method, which are used for acquiring and processing the safety parameter, speed and position information of a fireworks and crackers transport vehicle and performing pre-warning and alarming on fireworks and crackers transport accidents to prevent and reduce the fireworks and crackers transport accidents. Compared with the prior art, the system and the method have the advantages of dynamically monitoring and supervising the fireworks and crackers transport vehicle in the whole process to realize safety monitoring and pre-warning, the tracking of the whole transport process and the real-time response and emergency linkage processing of emergencies in the fireworks and crackers transport process, providing timely and accurate information and data support for the emergency response of an administration section, preventing serious and extraordinarily serious terrible accidents in the fireworks and crackers transport process and better ensuring the safety of lives and property of people.

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.