1106 results about "Traffic crash" patented technology

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

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

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

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

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

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

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

The 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 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 invention discloses an automatic control system which is capable of preventing a driver from mistakenly stepping on an accelerator to cause a traffic accident. The automatic control system capable of effectively preventing mistaken stepping on an accelerator comprises a distance measurement module, a speed sensor, an acceleration sensor, a microprocessor and an audible and visual alarm, wherein the distance measurement module is used for measuring distance S between a self car and a front car or an obstacle, and the microprocessor calculates the current critical safe braking distance S0 according to information obtained by the speed sensor and a road sensor, assigns a safety factor a and marks a safe braking distance S1. When S is bigger than S0 and smaller than S1, the alarm sounds an alarm to remind the driver to take some measures. When S is smaller than S0, if the driver steps on the accelerator, an electronic control unit (ECU) comprehensively processes information acquired by the acceleration sensor and other system information, whether the driver mistakenly steps on the accelerator is judged, if the driver mistakenly steps on the accelerator, an instruction is output to adjust the opening degree of an air valve and cut off an oil supply system to enable the air valve to lose efficacy, and the fact that the car speeds up to move forward due to the fact the driver mistakenly steps on the accelerator in panic is avoided.

The invention discloses an integrated adaptive intelligent traffic warning sign comprising an intelligent controller, a weather collection unit, a visibility detection unit, an event detection unit and an LED screen display unit; the weather collection unit, the visibility detection unit, the event detection unit and the LED screen display unit are integrated. The weather collection unit comprises a weather information collection controller and a sensor. The visibility detection unit comprises a visibility viewer. The event detection unit comprises a people and vehicle information collection module. The intelligent controller receives data from the weather collection unit, the visibility detection unit and the event detection unit, analyzes the collected data through a special software algorithm, independently adjusts indexes such as information release contents, forms and brightness without dependence on communication and control of a background center, and outputs corresponding output signals to the LED screen display unit. The integrated adaptive intelligent traffic warning sign allows warning for traffic safety on roads, especially expressways, and thus, fatal traffic accidents on the roads and expressways are effectively prevented or decreased.

The invention discloses an automatic-driving delivery car remote control system belonging to the field of automobile control. The system comprises a server, at least one remote control terminal and a plurality of automatic driving delivery cars. The server is connected with the plurality of automatic driving delivery cars through a network. The remote control terminal is connected with and remotely controls the automatic-driving delivery cars through a network login server. Each automatic-driving delivery car includes a car body, a sensor module and a controller; the sensor module is used to acquire position information and environment information of the car body; the controller is used to control the automatic-driving delivery car body to drive autonomously; the remote control terminal has a full control mode and an auxiliary control mode; when the full control mode is on, the remote control terminal completely controls the driving of the car body; and when the auxiliary control mode is enabled, the remote control terminal and the controller cooperatively control the driving of the automatic-driving delivery car. The automatic-driving delivery car remote control system and method of the invention can avoid traffic accidents and guarantee traffic safety.

The invention discloses a highway traffic accident information issuing system. The system includes an information acquisition unit and an issuing control unit. The information acquisition unit is used for acquiring basic data information about a traffic accident. The issuing control unit is used for determining, based on the basic data information, whether information about the traffic accident needs to be issued, stopping output of the issued information about the traffic accident if it is unnecessary to issue the information, and controlling output of the issued information about the traffic accident if it is necessary to issue the information. Through the traffic accident information issuing system, people can select, based on the acquired basic data information, a corresponding information issuing unit for information issuing, determine the traffic accident information issuing scope, and early warn drivers on roads upstream the traffic accident. Therefore, the accuracy for early warning drivers on roads upstream the traffic accident is improved, and secondary accidents are effectively prevented.

The invention provides an IOV (Internet of Vehicles) early-warning robot, and an IOV early-warning system and early-warning method. The system comprises an IOV early-warning robot, and the robot is provided with a warning board. The warning board is disposed on a trolley, and the robot is also provided with a GPS module and a wireless communication module. The GPS module collects the position information of the trolley after the trolley is released on the ground. The system also comprises a cloud server which is used for receiving the information transmitted by the wireless communication module. The information transmitted by the wireless communication module comprises the released information of the trolley, and the position information collected by the GPS module. The cloud server also enables the position information to be broadcast. The method comprises the steps that the robot enables the current position information and the released information to be transmitted to the cloud server after the IOV early-warning robot is released; the cloud server enables the position information of the robot and the danger warning information to be broadcast. The method provided by the invention can notify a vehicle at the back in a short time after the robot is released, and effectively avoids traffic accidents.

The invention relates to an automotive vehicle traffic security early-warning prevention controlling system, which aims at improving the security coefficient of a driver, reducing the traffic accidents, recording the traveling data of the automotive vehicle and the driver, and notifying the vehicle owner of the current state, the position range and the positioning function in time. Through a real-time three dimensional video frequency image and a sonar system to identify the obstacles at the front and rear sides, the emergency lamp signals, the brake lamp signals, and the traffic light signals to identify the a highway street sign mark to limit a highest vehicle travel speed. If the driver takes no emergency measure during the early-warning process, the system automatically adopts the corresponding vehicle speed reduction, engine closing and emergency braking. The correlative traveling state date of the automotive vehicle is stored for 30 days uninterruptedly. Through the system software to process the sonar and video frequency image date, the overspeed fatigue driving of the driver, the alcohol content detection, jumping the red light, and the stealing prevention and the go astern anti-collision early warning of the automotive vehicle are checked all whether. The automotive vehicle speed, the driver state and the data of the live images at the front and rear sides of the automotive vehicle are recorded.

The invention discloses a traffic accident early warning method and device. The traffic accident early warning method comprises receiving traffic accident warning information which is sent from a first terminal, wherein the traffic accident warning information contains information of a road section to which a traffic accident occurs; confirming a base station to which the traffic accident happened road section belongs and confirming a second terminal device within the coverage area of the base station; sending the traffic accident warning information to a terminal device ordering a traffic early warning business in the second terminal device. According to the traffic accident early warning method, the traffic accident happened base station is confirmed due to the fact that the information of the traffic accident happened road section is carried along in the traffic accident warning information sent from the first terminal device, the traffic accident warning information is sent to the terminal device which orders the traffic warning business within the coverage range of the base station, a user can timely obtain the road section to which the traffic accident occurs and can select other driving routes to get through, and secondary traffic accidents are avoided.

The invention discloses a construction road pedestrian and vehicle collision avoidance early warning system based on vehicle-road collaboration and a construction road pedestrian and vehicle collisionavoidance early warning method based on vehicle-road collaboration. The system comprises a pedestrian information acquisition module which is used for acquiring the pedestrian position information and the pedestrian speed information, an occlusion position information acquisition module which is used for acquiring the occlusion position information, a collision avoidance information processing module which is used for judging transmitting of the early warning information according to the pedestrian position information, the pedestrian speed information, the collision avoidance information, the vehicle position information and the vehicle speed information, and a vehicle-mounted control module which is used for acquiring the vehicle information and receiving the early warning information.A driver blind area range model is constructed according to the pedestrian position information, the speed information, the occlusion position information and the vehicle position and speed information so as to determine whether the pedestrian is in the driver blind area range and judge transmitting of the early warning information. The pedestrian passing early warning information is provided forthe vehicle passing the road construction area so that the traffic accident caused by driver sight shielding can be avoided and the traffic safety can be enhanced.

A vehicle signaling display device to be mounted on an automotive vehicle, so that signaling lights of the device are visible for drivers of following vehicles, includes orange or amber, red and green lights and includes a system specifically designed to count speed sensor pulses for measuring speed of any vehicle of any make and model on which the device is installed, for controlling the signaling lights in accordance with the speed of the vehicle and regardless of operation and position of accelerator pedal of the vehicle, in order to perform a set of standardized operations of the signaling lights for dynamically preventing traffic crashes. The device (a) turns on a distinct arrangement of a number of lights of the signaling lights for indicating different ranges of the speed of the vehicle so that a red light of the signaling lights remains lit without flashing regardless of braking as advanced stop sign indicating very low speed or stationary state of the vehicle, orange lights of the signaling lights remain lit indicating low speed of the vehicle and green lights remain lit indicating forward motion with constant speed; (b) flashes orange lights whenever the speed of the vehicle is reduced by a standardized value without braking; (c) flashes red lights whenever the speed of the vehicle is reduced by the standardized value by braking; (d) flashes green lights to indicate acceleration by the standardized value; so that as the rate of deceleration increases, the red or orange lights flash faster.

The invention discloses a traffic accident prevention analysis system which is characterized by comprising a traffic accident data acquisition module, a traffic accident database, a GIS geographical information database and a data coupling module. The traffic accident data acquisition module is connected with the traffic accident database, and the traffic accident database and the geographical information database are connected with the data coupling module. According to the invention, geographical information and traffic information are combined, the traffic accident information can be directly displayed on an electrical map, and an accident black spot is obtained through analysis.

The invention discloses a traffic accident severity prediction CSP-CNN model and its modeling method. The CSP-CNN model includes a model input layer, the model input layer inputs traffic accident dataconverted gray image set, and carries on convolution calculation to its input convolution layer, obtains the feature vector extracted from the last convolution layer, and inputs the feature vector tothe whole connection layer; a CNN model includes model input layer, model input layer inputs traffic accident data converted gray image set, and carries on convolution calculation to its input convolution layer, obtains the feature vector extracted from the last convolution layer, and inputs the feature vector to the whole connection layer. The full connection layer performs flatten operation onthe input eigenvectors, converts them into one-dimensional vectors and performs linear processing. The full connection layer contains three hidden units, and outputs three linear processing results tothe model output layer. Three traffic accident severity levels are set in the output layer of the model, and the Softmax activation function is used to predict the traffic accident severity. The invention fully considers the space-time relationship, the combination relationship and the deeper internal relationship between the traffic accident characteristics, and predicts the traffic accident severity.

The invention relates to a road driving danger early warning method, device and equipment, and the method comprises the steps: obtaining the image data of the periphery of a target vehicle; determining obstacle information around the target vehicle according to the image data; judging whether the obstacle information meets a first preset condition or not; and under the condition that it is determined that the obstacle information meets a first preset condition, generating first early warning information according to the obstacle information, and the first early warning information being used for indicating a driver of the target vehicle to execute a first operation to avoid collision with an obstacle. By means of the early warning method, device and equipment, early warning can be conducted on dangers from all directions of the target vehicle, so that safe driving of the target vehicle can be guaranteed, and traffic accidents are reduced.

The invention discloses a parking event detecting method based on a double tracking system. By means of segmentation of a plurality of block areas and drawing of a dynamic background, the sum of absolute values of pixel value differences of each area of the background corresponding to a current frame is calculated, the steps are repeated, a suspicious area is marked and assigned a value 255, a connected domain analysis is conducted, and whether a car is parked on the suspicious area is confirmed. The parking event detecting method based on the double tracking system is free from environmental constraints, a real-time detection can be conducted, the impacts of shadows, lights, threw objects and surface gathered water can be eliminated preferably by means of the combination of the analysis of tracing lines, the algorithm can achieve real-time and accurate detection of road unusual parking events, rescue and handling of a traffic accident can be conducted timely and effectively, a secondary accident is prevented from happening, and the safety of road operation is further guaranteed.

The invention discloses a city safety island based on pedestrian and non-motor vehicle separation, which comprises an island body, wherein the island body is in a triangular shape, the middle part of the island body is provided with a pedestrian waiting area in the island, both sides of the pedestrian waiting area in the island are provided with non-motor vehicle waiting areas in the island, the pedestrian waiting area is connected with a pedestrian street through a street and island crosswalk, the pedestrian waiting area is connected with the adjacent island body through a crosswalk between islands, the non-motor vehicle waiting area in the island is connected with the pedestrian street through a street and island non-motor vehicle crossing, and the non-motor vehicle waiting area in the island is connected with the adjacent island body through a non-motor vehicle crossing between the islands. The city safety island disclosed by the invention can effectively improve the safety and the comfort of pedestrians crossing the street, improve the crossing efficiency of pedestrians and non-motor vehicles and reduce the incidence of traffic accidents in street crossing, and road environment and city appearance are beautified.

The embodiment of the invention provides a driving state detection method and device, a driver monitoring system and a vehicle. The driving state detection method comprises the steps of making head posture detection and eye state detection on a driver image to acquire head posture information and eye state information; and determining detection results of the fatigue state and the distraction state of the driver according to the head posture information and the eye state information. According to the embodiment of the invention, the joint detection of the fatigue state and the distraction state of the driver is realized in combination with the head posture and the eye state, so that corresponding measures can be taken in time when the driving state of the driver is poor, the driving safetyis improved, and the road traffic accident rate is reduced.

The invention, which relates to the insurance system field, provides a system and method for insurance claim settlement, wherein the system with a simple structure and the method are capable of rapidly dealing with a traffic accident settlement case, saving lots of human and material resources of an insurance company, simplifying a settlement process, and perfecting the claim settlement management links. The system comprises a front-end device and an insurance company server; and the front-end device includes a GPS module, a camera, a control panel and a wireless communication module. After a traffic accident happens, a car owner starts the front-end device inside the car to connect the insurance company server; and the camera of the front-end device is started to shoot a field accident situation and a car accident circumstance is determined; if the circumstance of the car accident is not serious, the insurance company server starts the GPS module inside the car and sends relates data of a nearby controlled company to the car owner according to positioning information; the car owner drives the car by himself to the controlled company according to the data to carry out claim settlement or to a designated place for maintenance; and if the circumstance of the car accident is serious, the GPS module inside the car is started and the positioning information is sent the nearby controlled company; and the controlled company sends someone to go to the scene so as to collect related data for claim settlement completion.

The invention relates to a failure detection, warning and operation and maintenance management system for traffic lights and an implementing method thereof. A PC (personal computer) client is used asa human-machine interaction tool; a diagnostic platform server, an operation and maintenance management platform server, a private network wireless apparatus and the PC client are connected with an electronic police platform through a traffic administration bureau equipment network, mutual communication and data transmission are guaranteed, and a plurality of handheld APP clients are in communication with the private network wireless apparatus. Secondary analysis is performed via photos taken by an electronic police system, states of traffic lights in the photos are detected and judged, and failures of the traffic lights can be discovered and warnings can be given. When failure occurs to an intersection traffic light, the diagnostic platform server pushes the failure of the light to the operation and maintenance management platform server with no delay, timely response is made to the failed light, maintainers provide quick repair, and traffic paralysis of a section with light failure or major traffic accidents due to the light failure are effectively avoided.

Vehicle, cloud server and method and device for reducing traffic accident

The invention provides a reversible lane changing device for intelligent transportation based on electromagnetic conversion, and relates to the technical field of intelligent transportation. The reversible lane changing device for intelligent transportation based on electromagnetic conversion comprises a metal frame, a sliding block is slidably connected to the interior of the metal frame, bases are fixedly installed at the top end of the sliding block, a connecting chain is fixedly connected between the bases, and a handrail is fixedly connected to the tops of the bases through springs. According to the reversible lane changing device for intelligent transportation based on electromagnetic conversion, the labor intensity of workers is reduced; the lane changing efficiency is improved; thebases and the handrail can be stably positioned on one side of the reversible lane; traffic accidents caused by deviation of the handrail and the phenomenon of blocking normal passing of vehicles areavoided, it is guaranteed that the bases and the handrail can move after being stressed and can return to the initial positions, and the anti-collision capacity of the base and the handrail is improved while normal flow guiding is guaranteed.

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 invention discloses a road condition detection method and device, electronic equipment and a storage medium, relates to the field of computers, and can be used for vehicle-road cooperation of intelligent driving. According to the scheme, the method comprises the following steps of receiving an image including road condition information sent by an image acquisition device arranged on a roadsidebelt, recognizing images, and obtaining identification results;, responding to the recognition result that the image comprises the warning marker and; generating abnormal road condition information,wherein the warning marker is used for giving a warning about a construction area and/or a traffic accident, and the abnormal road condition information carries a position corresponding to the warningmarker; sending the abnormal road condition information to a network connection vehicle for driving a networked vehicle. According to the technical scheme, the images sent by the image acquisition device on the roadside are recognized, and when the warning marker is recognized, the abnormal road condition information is generated, so that the defect that only short-distance road condition information can be obtained in the prior art is overcome, the road condition information is obtained in time, and the driving safety and reliability of the networked vehicle are ensured.