235 results about "Road accident" patented technology

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 road accident prompting method based on vehicle-road collaboration. The road accident prompting method based on vehicle-road collaboration comprises the following steps that S1, vehicles upload vehicle information to a roadside unit system periodically, the roadside unit system processes the vehicle information, and if an accident occurs, a broadcasting message of a fixed format is generated, and the message is broadcasted to travelling vehicles close to the area of the accident; S2, drivers of the travelling vehicles receiving the broadcasting message check the broadcast message list of the vehicles, and if the broadcasting message does not exist, the drivers judge the movement directions, the position relationship and the distance information of the vehicles and the vehicles in the area of the accident according to the broadcasting message, and then the drivers decide to selectively forward the message or abandon the message. Compared with the prior art, prompts can be effectively provided for following vehicles in real time by the adoption of the road accident prompting method based on vehicle-road collaboration, the spreading range is wide, the efficiency is high, the practicability is good, and popularization is easy.

The invention discloses a highway intelligent monitoring and early warning robot. The highway intelligent monitoring and early warning robot monitors road condition information in real time with a highway guardrail as the track through a high-definition camera and a high-precision radar sensor, rapidly and accurately detects traffic incidents, makes reports for supervisors in real time, gives an early warning to rear vehicles and effectively conducts traffic dispersion to eliminate the influence of the traffic incidents as soon as possible, occurrence of secondary incidents is avoided, and theroad traffic safety is improved accordingly. The highway intelligent monitoring and early warning robot provided by the invention has the functions such as mobile monitoring, abnormal monitoring, audible and visible early warning, emergency disposal and the like, can regulate monitoring according to the road condition information, can conduct real-time accurate and comprehensive monitoring on theroad conditions and conducts signal and data transmission through the network. The robot can find potential road safety hazards in time, such as road accidents, vehicle congestion and scattered materials, make accurate judgment in time and give a prompt and early warning to the rear vehicles through voice broadcasting and lamplight flashing.

The embodiment of the present invention discloses a driving risk assessment method and device. The method comprises the steps of: obtaining first driving data of a vehicle to be assessed, second driving data of a moving target, traffic environmental data of a target region and historical road accident data of the target region; determining a dynamic risk factor according to the first driving dataof the vehicle to be assessed and the second driving data of the moving target; determining a semi-dynamic risk factor according to the traffic environmental data; determining a static state risk factor according to the historical traffic accident data and the traffic environmental data; fusing the dynamic risk factor, the semi-dynamic risk factor and the static state risk factor to obtain a comprehensive risk factor; and determining a traffic risk grade according to the comprehensive risk factor. The driving risk assessment method and device combines various factors influencing the crossing risks based on the complexity and the variability of the crossing condition to determine the final traffic risk grade, and therefore, the driving risk assessment method and device can accurately and effectively prompt the risks to drives to avoid the traffic accidents.

The invention discloses a weight-limit intelligent roadblock device based on the self weight of a vehicle. The weight-limit intelligent roadblock device comprises a body, wherein, a fixed crossbeam and a clamp plate are arranged on the top of the body, and a slit is arranged between the fixed crossbeam and the clamp plate; a trapezoid wedge block is arranged below the clamp plate; two oblique shoulders arranged in the body are respectively positioned at two sides of the trapezoid wedge block and are just matched with the inclination of the trapezoid wedge block; a first spring is arranged between the clamp plate and the oblique shoulders, and a second spring is arranged between the oblique shoulders and the body; the fixed crossbeam is equipped with a rotating shaft, and the rotating shaft is movably connected with a stop lever; and the oblique shoulders are equipped with limit blocks which are just contacted with the stop lever positioned below the rotating shaft. The weight-limit intelligent roadblock device is intelligent and simple, and has the functions of prolonging the service life of a road and avoiding road accidents.

The invention discloses a method for recognizing and classifying road barriers based on video. According to the method for recognizing and classifying the road barriers based on the video, according to the urban road monitoring video, a barrier feature extraction and recognition algorithm is studied, a hybrid Gaussian modeling method self-adaptive to background update is provided, and the road background is updated selectively according to static barrier targets obtained through detection; a moving target segmentation method based on concave-convex outline characteristics of the targets is provided, further accurate extraction and separation of the moving targets are achieved through the method, and a foundation is laid for outline-based segmentation of a blocked target; an algorithm for automatic detection of an ROI of a road is provided, and automatic extraction of the ROI of the road in a monitoring image is achieved. A road barrier classifying method involving self-adaptive clipping of the ROI is adopted, road barriers are recognized and classified to be illegally parked vehicles and scattered objects. By the adoption of the method for recognizing and classifying the road barriers based on the video, the barrier handling efficiency of the traffic department can be improved easily, and a foundation is laid for preventing road accidents.

The invention discloses a vehicle-mounted alarm method. Navigation location information and in-vehicle bus information are obtained according to impacting sensing information; the navigation location information and the in-vehicle bus information are transmitted to an emergency processing terminal through a wireless processing terminal. Therefore, the vehicle-mounted alarm method solves the problem that after a road accident, concerned persons cannot give out emergency rescue alarms under the condition that losses of lives and personal injuries are serious, and accordingly a serious accident is caused. Therefore, the rescue department can obtain help seeking information in time and know current situations of collision vehicles in time, rescue measures can be taken to the persons in distress, the losses of the lives and the personal injuries are reduced, and road accident hazards are reduced.

The invention belongs to the field of traffic safety and intelligent traffic management control, in particular to a real-time estimating method for high-grade road traffic flow running risks. The real-time estimating method for the high-grade road traffic flow running risks considers the problem that a high-grade road short of fixed-point traffic flow collecting facility is incapable of acquiring the road traffic flow rate, occupancy and the like traffic parameters. The real-time estimating method for high-grade road traffic flow running risks includes that using traffic flow speed data acquired through different traffic information collecting technologies to build a real-time accident forecasting model, using a dynamic Bayesian network model to consider the speed state data of several time periods, building relationships between the traffic flow state and accident risks, and estimating the accident in real time so as to early warn or regulate a vehicle to avoid an accident. The real-time estimating method for the high-grade road traffic flow running risks has good forecasting precision for the high-grade road accident risks through speed data, and the real-time estimating method for the high-grade road traffic flow running risks has broad practical application value.

The invention relates to a dangerous overtaking early warning device based on multi-sensor data fusion. The dangerous overtaking early warning device based on multi-sensor data fusion comprises a DSP, wherein the input end of the DSP is connected with a video signal acquisition module, the output end of the DSP is connected with a video signal display module, the input-and-output end of the DSP is connected with a laser radar communication module and an MCU microprocessor through a serial port communication module, the input-and-output end of the MCU microprocessor is connected with a workshop communication module, a steering wheel turning angle detecting module and a speed measurement module, and the output end of the MCU microprocessor is connected with an LED module and a sound prompting module. The invention further discloses a dangerous overtaking early warning method based on multi-sensor data fusion. According to the dangerous overtaking early warning device based on multi-sensor data fusion and the dangerous overtaking early warning method based on multi-sensor data fusion, rear-end collision caused by misjudgement of the speeds of vehicles of both sides and the distance between the two sides during overtaking of a driver can be effectively avoided, collision accidents occurring due to the fact that the driver neglects a vehicle behind during overtaking can be effectively avoided, other road accidents caused by overtaking can also be avoided, the initiative is high, and the safety performance is high.

The invention relates to a method and a system for automatically generating an urban road traffic guidance strategy. According to the method and the system, by applying the intelligent traffic theory, the spatial autocorrelation theory, the fuzzy mathematic theory, an statistical method and the computer technology, real-time traffic flow data and historical data are researched and processed, and therefore, under the condition that a traffic incident occurs in a road traffic network, the traffic guidance strategy which can be released in time through VMS (variable message signs) on a road is automatically generated. According to the method and the system, by taking historical artificial guidance information and the real-time traffic flow data as input data, on the basis that historical guidance empirical laws are analyzed and real-time traffic flow features are excavated, a final guidance release strategy is determined by applying a traffic state spatial inequality analysis method provided by the invention. A proposal and strategy scheme can be provided for the quick release of the guidance information of an urban traffic management department when certain traffic incidents occur, such as road accidents, congestion, severe weather, management and control, and the like.

The invention discloses a county-level road accident forecasting method based on geographic weighting Poisson regression. Firstly history road accident frequency data of each county in a research scope are collected through data survey; then a model relation between county-level accident frequencies and influencing factors and a geographic position matrix form of influence coefficients of each variable quantity are set, and a geographic weighting function in a parameter estimation process is carried out; and parameter estimation is carried out on a Poisson regression model according to geographic weighting. A problem that existing county-level road accident forecasting does not give consideration to spatial heterogeneity to cause not-high forecasting accuracy is solved, and scientific and reasonable guidance is provided for county-level road accident forecasting and safety prevention and control policy formulating.

The invention relates to a safety early warning system for eliminating hidden dangers of vehicle inner wheel differences, and belongs to the technical field of vehicle operation safety. The system consists of an early warning system inside the cab and an early warning system outside the cab. By using the head-up display (HUD) technology, the driver can intuitively see the situation in the dangerous area of ​​the inner wheel difference, and the driver does not have to look down at the display screen, reducing driving fatigue; the buzzer at the rear end of the car sounds And the way that the LED lights at night illuminate the dangerous area of ​​the inner wheel differential can effectively remind pedestrians and vehicles to pay attention to the dangerous area of ​​the inner wheel differential during the day and night. The early warning inside and outside the cab in the safety early warning system is accurate, so that the vehicle can turn safely and avoid traffic accidents. Therefore, the safety early warning system has played a huge role in eliminating hidden dangers of vehicle inner wheel differential.

The collision buffering safeguard for vehicle consists of a bumper, a buffer spring assembly, a vehicle distance detecting controller, a buffering cylinder and a high pressure air pump. The buffer spring assembly is set between the bumper and the buffering cylinder; the buffering cylinder has back part fixed to the vehicle chassis and is connected to the high pressure air pump through pipeline; and the vehicle distance detecting controller is also connected to a audible and visual alarm, a brake controlling cylinder and an accelerator controlling cylinder. Compared with available technology, the present invention has the advantages of reasonable structure and capacity of reducing road accidents effectively.

The invention belongs to the highway planning and design field and provides an anticipation technology that when a special passenger and cargo separating road is implemented and a comprehensive evaluation method after implementation. According to the technical scheme, an anticipation and evaluation method for the implementation of the passenger and cargo separating road comprises the following steps of performing a method of hierarchical classification of main influence factors in the anticipation technology; building a comparative judgment matrix between a standard layer and a criterion layer; performing a method for determining weight among indexes; and performing a method for determining weight of various influence factors in the anticipation technology and determining a threshold value of passenger and cargo separating implementation. The evaluation method for the implementation of the passenger and cargo separating road employs a road service level and a road accident rate as social benefit indexes and an investment recovery ratio B/C (Benefit/Cost) as an economic benefit index. The anticipation and the evaluation method for the implementation of the passenger and cargo separating road is mainly applied to the highway planning and design.

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.

The invention relates to a vehicle road accident rescue calling system and a vehicle road accident rescue calling method. The vehicle road accident rescue calling system comprises a vehicle-mounted navigation system, a wireless RF module and a communication module which can produce normal communication among one another, when a vehicle detects that a road accident signal is generated, the vehicle-mounted navigation system arranged inside the vehicle in accident collects the road accident signal and generates a rescue signal automatically, and then broadcasts the rescue signal circularly to the surrounding rescue vehicles through the wireless RF module till the rescue signal is sent successfully. According to the vehicle road accident rescue calling system and the vehicle road accident rescue calling method, the GPS position information and rescue information are sent to a nearby road rescue institution in a relay mode through a wireless digital RF communication method in the absence of mobile phone signals, the accident rescue time is greatly shortened, and the personal safety and property safety of the driver are more effectively guaranteed when a traffic accident occurs.

The present invention belongs to the field of automatic control technology for starting automobile. Alcohol sensor is set inside automobile and connected to the control circuit, so that before drunk driving, the automatic control circuit will send acoustic and optical alarm signal while the automatic starting winding being power broken to make the automobile unable to be started. The present invention can avoid the road accident caused by drunk driving.

An internet of things for prevention and control of road traffic accidents, consisting of a management center processing device, a vehicle entrance and exit processing device, and a vehicle-mounted wireless sensor device, the latter including 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 management center processing module, a vehicle entrance and exit processing module, and a vehicle-mounted wireless sensor processing module, the latter including a vehicle distance, vehicle speed, abnormal parking calculation and processing module, collision perception and processing module, voice and Display reminder module, exchange information module and so on. The present invention can effectively prevent and control malignant traffic accidents on modern highways, and can directly send accident information to follow-up vehicles within a very short time after accidents occur to prevent serial collisions, and continue to send information to various toll stations and management centers, and timely Rescue measures can be 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.

The invention discloses a road accident dark spot identification system based on a system safety index distribution method. The system comprises a history accident data recording unit, a system safety index recording unit, a dark spot identification unit and a dark spot identification result output unit. The system safety index method comprehensively takes consideration of history accident data correlative in space positions on a target road, calculation is simple, only system safety indexes on a road segment node need to be calculated, road segment units are needless to be divided, the occasion that in a traditional dark spot identification method, the road segment units must be divided first is eliminated, meanwhile the space correlation of the history accident data is taken into consideration, and results are precise.

The embodiment of the present application is applicable to the technical field of road traffic and discloses a traffic accident early warning method and device, a terminal device and a storage medium,wherein the method comprises the following steps: acquiring a road condition image of a to-be-monitored road section; calculating speed values in a preset number of each target vehicle in a selectedroad condition image within a preset time period; if the speed of the target vehicle is in a descending trend and finally reduces to zero and the operation stop time of the target vehicle is greater than a preset time threshold, an early warning operation is executed. The embodiment of the present application actively predicts whether a traffic accident occurs and performs early warning, and doesnot rely on human alarm, thereby improving the accident handling efficiency and handling the traffic accident timely and effectively.

The invention discloses a control system capable of ensuring that automobile passengers can safely open a door and get off an automobile. The control system comprises a detection device, an automobile door self-locking device, wheel speed sensors, an automobile door handle corner detection device, warning devices and an automobile body controller. The detection device is installed on a rear-view mirror of the automobile. The automobile door self-locking device is installed at the door of the automobile. The wheel speed sensors are installed on the inner sides of wheels. The automobile door handle corner detection device is installed at the automobile door handle. The warning devices are installed inside the outside the automobile. The detection device, the wheel speed sensors and the automobile door handle corner detection device are connected with the input end of the automobile body controller. The automobile door self-locking device and the warning devices are connected with the output end of the automobile body controller. The detection device is used for detecting the portion behind the side where the door of the automobile needs to be opened and transmitting the detection result to the automobile body controller, the automobile body controller determines whether the door of the automobile needs to be opened or not and how long does the door need to be opened, and the warning devices are used for reminding the passengers and vehicles and pedestrians, so that road accidents are avoided.

The invention discloses an automobile communication message processing method and system. The method comprises the steps that by receiving an overtaking start command, when a first overtaking condition is met, first overtaking request information is transmitted to a first preceding automobile; feedback information which is transmitted by the first preceding automobile according to the first overtaking request information is received, the feedback information is a visual field image of the first preceding automobile or a visual field image, received by the first preceding automobile, of a second preceding automobile, and the second preceding automobile is the automobile in front of the first preceding automobile; and when the feedback information transmitted by the first preceding automobile meets a second overtaking condition, an overtaking command is transmitted. According to the scheme, the visual field image of the preceding automobile is obtained through an automobile assisting system, so that whether the overtaking condition is met or not is judged; whether the overtaking condition is met or not can be judged through the automobile assisting system, the situation that misjudgement is prone to occur due to the fact that judgment is conducted only through the experience of a driver in the overtaking process is avoided, the potential safety hazards are reduced, and road accidents are effectively reduced.

The invention discloses a traffic route dynamic induction technology based on coupling of time recursion and neural network. The traffic route dynamic induction technology based on the coupling of the time recursion and the neural network is characterized in that based on the coupling relationship of 'man-machine-environment', the relationship between road conditions and time variation is studied. Difference of road conditions and human factor actions in different times and the randomness of unexpected road accidents are synthesized, neural network learning with a teacher is taken as an experience accumulating method, a time recursion predicting method is put forward, the shortest time of route passing is determined, and therefore dynamic induction of a traffic route can be achieved. Recursion prediction is conducted through comparison between accumulated experience of a knowledge database and information about real-time road condition, and therefore real-time and effective road condition information support is provided for a driver. According to the traffic route dynamic induction technology based on the coupling of the time recursion and the neural network, the overall logic structure comprises a knowledge base structure, path information learning with the teacher, human factor influence on route selection and logic core model establishment. The traffic route dynamic induction technology based on the coupling of the recursion and the neural network can assist the driver in making a correct judgment on the road condition in time, reduces time loss caused by insufficient experience and unexpected accidents, and can be widely used for traffic path dynamic induction of vehicles.