96 results about "Traffic risk" patented technology

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

Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further select a travel route for a vehicle based upon the risk index.

The invention discloses a driving risk evaluation method and a driving risk evaluation system and relates to the field of traffic risk evaluation. The driving risk evaluation method comprises the following steps: acquiring driving information of a vehicle; processing driving information so as to obtain abnormal driving information of the vehicle; acquiring accident information, and establishing amachine learning model for evaluating driving risks according to the abnormal driving information and the accident information; evaluating the driving risks of the vehicle according to the machine learning model. By adopting the driving risk evaluation method and the driving risk evaluation system disclosed by the invention, driving risk evaluation results with very high precision can be acquired,risks of an evaluated vehicle can be accurately and objectively evaluated, fine requirements on risk evaluation are met, adverse driving behaviors of drivers can be corrected in time, and accident risks can be reduced.

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 relates to a method for assessing and forecasting marine traffic risk on the basis of the geographic information system; the method comprises the steps of: taking the present and future situations of navigation risk in a certain water area as a research object, analyzing the features of navigation environment in the water area according to the past and present traffic situation of the water area, establishing a model for assessing and forecasting the risk of collision and stranding accidents by combining the features of marine traffic accidents in the water area, and assessing the influence of the change of navigation conditions in the water area on the navigation environment in the water area, as well as the corresponding navigation risks, thereby visually manifesting the geographic distribution of the risks in the water area and carrying out the dynamic forecasting of the marine traffic risk in the water area in future. The method avoids the simplification in assessments only by using qualitative evaluation and has the features of gridding and dynamic development. The application of the method can not only visually reflect the geographic distribution of the marine traffic risks, but also forecast the situation of navigation environment risks in future.

The invention relates to a road tunnel traffic risk early warning system based on the vehicle operation monitoring, which belongs to the field of tunnel traffic early warning. The road tunnel trafficrisk early warning system comprises a data acquisition module, an algorithm supporting module, a data storage module, a data service module and a data application module; and the road tunnel traffic risk early warning system hardware consists of hardware including a high-definition network camera, a video processing industrial personal computer and a 4G router. By adopting the road tunnel trafficrisk early warning system, the real-time structuralization is performed on a front-end sensed video and picture, the structuralized high-value data can be analyzed and stored, a structuralized resultcomprising a structuralized tag and a picture can be consulted and checked at any time, the picture can be searched and an object can be found by a user according to conditions, a search result can bedisplayed in a picture or list manner according to the selection. The tunnel traffic risk can be evaluated in real time, and the road tunnel traffic risk early warning system has important significance for ensuring the road traffic security.

The invention discloses a suggested vehicle speed making method based on safety risks and distances. The method comprises the steps that: road traffic flow conditions, road feature conditions and weather conditions are acquired; the traffic flow data, the road characteristic data and the weather data are fused and matched, and traffic risks through a traffic risk assessment model are calculated; clustering is performed by using the traffic risk values obtained by the traffic risk assessment model, and traffic risk early warning grading is implemented; a safety vehicle speed based on traffic risk distribution is calculated, a traffic flow state of which the traffic risk value is less than or equal to 0.2 is selected as a safety vehicle speed determination range according to the traffic riskdistribution under different conditions, and the 85th vehicle speed of the vehicle running speed in the state is selected as a safety running speed; the safe driving speed based on the parking sightdistance (for example, the meeting sight distance needs to be calculated on a road without strict physical separation) is calculated; and the road safe driving speeds obtained by the two methods are compared, and the suggested speeds of the road under different conditions (including weather conditions, road conditions and the like) are given.

The invention relates to a traffic risk warning method and system of smart phones based on vehicle noise, which is characterized in that the system comprises a data acquisition module, a feature extraction module, a central processing unit, a background database, a control module and an early warning module based on the smart phones. A matching relationship and a model are established in the background database by utilizing the acquisition of the training samples. A vehicle noise data group is collected in real time and features of the vehicle noise data group are collected through the smart phones. A result is output by recalling the matching relationship and the model stored in the background database. Analyzing and judging the result to control smart phones to trigger the initial warning and the emergency warning which can promptly remind the commuters of the danger who have hearing loss or are addicted to watching smart phones or listening to music with headset while walking. The traffic risk warning method and system of smart phones based on vehicle noise can also improve the safety of road travelers and reduce the accident rate on the road effectively.

The invention relates to a smart navigation mark, and discloses a ship traffic management method and system for a smart navigation mark. The method comprises the following steps of: S10: collecting real-time images of the surrounding environment of the smart navigation mark; capturing the moving target in the real-time picture; judging whether the moving target enters the preset electronic fence area; if entering, issuing a warning message of ''crash warning''; S20: acquiring ship information sent by a passing ship in a surrounding environment of the smart warning, wherein the ship informationincluding the real-time position information of the ship; obtaining the trajectory of the ship based on the ship information and predict its future trajectory; calculating the probability of collision between the two ships according to the ship's future trajectory and the preset traffic conflict calculation model; issuing a "crash warning" warning sign if the probability exceeds a preset threshold. The Ship traffic management method and system for smart navigation mark can sense the water traffic behavior, the traffic risk assessment and alerting are well targeted, which can improve the traffic risk assessment and the alarm accuracy rate, and improve the warning communication effect.

The invention discloses a road risk assessment method based on an analytic hierarchy process, capable of solving the technical problem that the existing traffic pressure is high and difficult to control. The road risk assessment method comprises the following steps: analyzing road safety situation influence factors, and grading the safety situation factors; acquiring data of safety situation influence factors of the to-be-evaluated road; carrying out data preprocessing on the obtained data; calculating weight vectors of the road safety situation influence factors by utilizing an analytic hierarchy process; and calculating a road risk integral based on the weight vector of the road safety situation influence factor and the processed data, and evaluating the road risk according to the road risk integral. Through the application of hierarchical analysis in risk assessment, various risk factors and indexes appearing in the risk assessment process are analyzed, and the risk assessment integral model is established, so that a traffic department can analyze and control the current traffic situation, and the traffic control efficiency is improved, and the traffic risk coefficient is reduced.

The invention discloses a port water area ship traffic risk early warning method. The method comprises the following steps: S1, starting a system, and detecting a working state of port water area shiptraffic risk early warning in real time; S2, judging a port water area ship traffic risk early warning working state; S3, carrying out risk cause analysis information and risk early warning mechanisminformation; S4, performing information fusion processing on the acquired risk cause analysis information and risk early warning mechanism information; S5, according to a ship collision risk measurement model, combining the risk cause analysis information and the risk early warning mechanism information; S6, constructing an early warning index system; S7, generating a rough set reduction index according to different risk values; S8, constructing an SVM training model by using a modeling software SVM algorithm; S9, carrying out precision inspection; and S10, giving an early warning result.

The invention provides a traffic information acquisition method and a terminal device. The traffic information acquisition method is applied to a first terminal device. The method includes acquiring the traffic environment information of the current location when the predetermined acquisition time of the preset acquisition period is reached or the trigger information is received; and sending the traffic environment information to a second terminal device to enable the second terminal device to process the traffic environment information, wherein the second terminal device includes one or more of a vehicle terminal, a mobile terminal, a cloud server, and a processing device arranged on the road infrastructure. The traffic information acquisition method and the terminal device can exchange the traffic environment information of the current location acquired by the first terminal device to the second terminal device, so that abundant traffic information can be obtained, the traffic risk potentials can be reduced, and the traffic accidents can be prevented.

The invention discloses a scenic spot traffic early warning and dispersion system. According to the method, in order to realize the traffic early warning and dispersion development of key scenic spots, a scenic spot traffic dispersion optimization, safety situation supervision aid decision making and travel service information release platform is built so as to provide support for road traffic dispersion and road optimization for the scenic spots, provide aid decision making support for public security and traffic police command and management services and provide a technical guarantee for theeffective promotion of the road traffic management capabilities and service levels of the key scenic spots. The system of the present invention can not only be widely applied to the daily monitoringand risk early warning work of key scenic spots of various levels, but also realize traffic control in major activities and traffic risk evaluation in transportation hubs and key areas for urban traffic management, and has realistic application requirements and a bright application prospect.

Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further generate a notification of a travel route for a vehicle based on the risk index.

The invention belongs to the technical field of automatic driving, and discloses a view blind area early warning method, device and equipment and a storage medium. The method comprises the following steps: judging whether an intersection exists within a first preset distance of a current vehicle according to current road information; if the intersection exists within the first preset distance of the current vehicle, judging whether the intersection covers a system supporting V2X or not; if the intersection does not cover the system supporting V2X, generating an optical warning signal at a preset time distance from the intersection; and projecting the optical warning signal to the intersection. By means of the mode, vehicles or pedestrians can be reminded of the blind area of the intersection on the road section without covering the V2X system, the traffic risk of the vehicles passing through the intersection is effectively reduced, and the safety of vehicle driving is improved.

The invention discloses a forward vehicle attitude observing device and method thereof. Road information is obtained by a vision sensor mounted in a vehicle; the obtained road information is processedby a data processing unit, a lane line fitting curve and front vehicle front wheel touch point coordinate position pfc are obtained; the driving state of the front vehicle is judged by the shortest distance L from the pfc to the lane line fitting curve; and when the front vehicle is in the unsafe driving state, an early warning indicator installed in the vehicle is adopted to give early warning to a driver of the vehicle. The device is simple, the method is efficient and accurate, the driving attitude of the front vehicle can be quickly recognized, and the traffic rick is reduced.

The invention relates to a vehicle-mounted drunk-driving-prevention system. The system comprises a microprocessor, a pyroelectric human body infrared sensor module, a GPS positioning module, a driving module, an alarming module and an alcohol concentration detection module. The driving module is connected with a car engine supervisor. The pyroelectric human body infrared sensor module and the alcohol concentration detection module are both arranged on a car steering wheel. The GPS positioning module is arranged in an engine. The alcohol concentration detection module comprises a single chip microcomputer, an alcohol sensor and a digital analog converting module. The microprocessor comprises a data storage unit, an alcohol concentration determining unit, a control unit and an information interaction unit. The data storage unit is used for storing an alcohol concentration threshold value. The alcohol concentration determining unit is used for determining the concentration of alcohol in gas exhaled by a driver. The control unit is used for controlling the driving unit. The vehicle-mounted drunk-driving-prevention system is good in reliability, high in practicability and recognition capability and capable of effectively preventing drunk driving, lowering traffic risks and greatly improving the life safety of the driver and pedestrians.

The invention discloses a lane changing and overtaking early warning device and method for expressway tunnels, and relates to the technical field of expressway tunnel traffic management. The device comprises a tunnel entrance vehicle collection device, a tunnel exit vehicle collection device, a tunnel comprehensive analysis and early warning device, a tunnel exit safety warning device and a tunnelentrance safety warning device, wherein the tunnel entrance vehicle collection device and the tunnel exit vehicle collection device are both set according to the lanes; the tunnel entrance vehicle collecting device, the tunnel exit vehicle collecting device, the tunnel exit safety warning device and the tunnel entrance safety warning device are all connected to the tunnel comprehensive analysis and early warning device; and the tunnel comprehensive analysis and early warning device comprises a vehicle number plate and traffic flow data extraction module, a lane queue analysis module and an illegal early warning information output module. The lane changing and overtaking early warning device and method have the beneficial effects of carrying out early warning for the traffic risk and lanechanging in the tunnel and the overtaking illegal vehicles in real time at the tunnel exit and entrance, and reminding drivers to drive safely.

The embodiment of the invention provides a traffic early warning method based on 5G and a related device, and the method is applied to an electronic device. The method comprises the steps: obtaining afirst driving route of a target vehicle during the driving of the target vehicle; determining driving road condition information of the first driving route; determining traffic risk information of the target vehicle according to the driving road condition information; and pushing the traffic risk information to the target vehicle through a 5G communication system, so that the real-time performance during traffic early warning can be improved.

The invention provides a traffic risk prediction method based on a complex network theory. The traffic risk prediction method comprises the following steps: step A, dividing grids based on empirical data to construct a double-layer traffic network model; step B, carrying out feature extraction and screening based on a complex network theory; c, performing risk prediction based on an ensemble learning theory; d, evaluating and verifying the model; through the above steps, two dimensions of functions and structures of the traffic system are comprehensively considered, scientific and reliable technical support and theoretical support are provided for identification of traffic risks, and important support is provided for risk diagnosis of the traffic system, formulation of targeted managementcontrol measures and improvement of traffic operation reliability. The method is high in systematicness, high in portability and easy to operate, and the problem that risks in a complex traffic systemare difficult to identify and predict is solved.

The invention discloses a mountainous-area two-lane curve active early-warning anti-collision guard bar and a rear-end collision early-warning method. Through the anti-collision guard bar, on the condition that the linear change of a mountainous-area curve is dramatic and the visibility range is poor, vehicles in two two-way lanes can be monitored in real time, the dynamic position change of all the vehicles is monitored, and then dangerous conditions which possibly occur can be subjected to early warning. The method comprises the steps of prompting of the running conditions of the vehicles ofopposite-direction lanes, early warning of rear-end collision of the front and rear vehicles, and prompting early warning through an acousto-optic system. By means of the mountainous-area two-lane curve active early-warning anti-collision guard bar and the rear-end collision early-warning method, main traffic risks which possibly occur in the curve can be subjected to all-directional and systematic advance early warning, and thus the occurrence of accidents is reduced; meanwhile, active early warning and passive anti-collision facility integrated design is conducted, and double guarantees ofthe traffic safety are achieved.

The invention relates to a traffic risk early warning system and method based on a tweeter queue. The system comprises intelligent sensing equipment, an intelligent roadside terminal, a directional tweeter queue, a data center visualization platform. The intelligent sensing equipment which is used for acquiring the driving information of all vehicles. The intelligent roadside terminal is used forreceiving the vehicle driving information, screening vehicles with traffic risks and sending a control signal to a tweeter queue of a target vehicle driving position; the directional tweeter queue isused for receiving the control signal and controlling tweeters on the two sides of a cab of the target vehicle according to the control signal to realize regular whistling of long and short tone matching; and the data center visualization platform is used for receiving the vehicle driving information acquired by the intelligent roadside terminal and the data of vehicles with traffic risks, and carrying out road monitoring, data storage and offline analysis. The early warning effect is obvious, the pertinence is strong, the road traffic safety can be effectively improved, and the accident occurrence probability of the expressway is reduced.

The invention discloses an urban road risk grading system and method based on fuzzy comprehensive evaluation, wherein the system comprises a plurality of video collection modules, each video collection module is in one-way connection with a video transmission device, each video transmission device is in one-way connection with a video processing module, and the video processing module is in one-way connection with a risk grading module; and the risk grading module is in bidirectional connection with a data storage module and is in one-way connection with an information matching module, the information matching module is in one-way connection with a driving reminding module, and a data downloading module is in one-way connection with the data storage module. The system is simple in structure, multiple factors influencing traffic risks are obtained through the video acquisition module and the data downloading module, the multiple factors are comprehensively evaluated through the risk grading module by using a fuzzy comprehensive evaluation method, road risk grade information is obtained, and the problems that risk grading consideration factors are single, the risk degree is difficultto quantize, the information utilization effect is poor and post-processing is insufficient are solved; and the method is simple and high in accuracy.

The invention provides an alarming method based on a rotary camera, and a mobile terminal. The method comprises steps of when a camera module of the mobile terminal is not on the same plane with a machine body, determining a first angle value between a plane where the camera module is located and the plane where the machine body is located, and calculating the sum value of the first angle value and a second angle value, wherein the second angle value is the angle value between the plane where the machine body is located and the ground; when the sum value is within a preset angle range, controlling the camera module to automatically rotate and acquire images of surrounding environments where users are located during the rotation process; identifying where a preset obstacle exists in the acquired images of the surrounding environments; and if the preset obstacle exists, judging whether the preset obstacle meets a preset alarming condition, and when the preset obstacle meets the preset alarming condition, giving out an alarming signal. According to the invention, according to the images of surrounding the environments acquired by the camera, users are effectively warned to pay attentions to the safety; occurrence rate of all kinds of accidents and traffic risks are reduced; and personal and financial safety of people is ensured.

The invention discloses a urban road intersection risk assessment and early warning method based on driver physiological data. The method comprises the steps of firstly establishing an urban intersection vehicle risk assessment model; then calibrating a parameter wj in the vehicle risk probability model, and determining the vehicle risk probability model corresponding to the currently implementedintersection; constructing a vehicle risk grading matrix, and calculating the risk value of the target vehicle at the currently implemented intersection; determining a target vehicle risk level according to the vehicle risk level division matrix, and determining the risk level of the currently implemented intersection; and finally, determining early warning information according to the risk levelof the currently implemented intersection, and carrying out early warning on vehicles entering the currently implemented intersection. According to the urban road intersection risk assessment and early warning method based on the driver heart physiological data, the data is easy to obtain, the model calculation is relatively convenient, the traffic risk of the urban intersection can be effectivelyassessed, early warning is issued, and the method has relatively high operability.

The invention relates to a vehicle safe driving assistance method and system, computer equipment and a storage medium. The vehicle safe driving assistance method comprises the steps of obtaining current position information of a vehicle; determining a target traffic light based on the current position information; obtaining the green light balance time of the target traffic light, wherein the green light balance time is the remaining time of the green light when the target traffic light shows the green light; judging a driving safety state according to the green light balance time and the distance from the current position of the vehicle to the target traffic light; and outputting prompt information according to the driving safety state. The next passing target traffic light is determined, whether the vehicle can safely arrive at the target traffic light before the current / next green light is finished is judged, and the prompt information is output to the user based on the fact that the vehicle can safely arrive at the target traffic light, so that the user is prevented from being busy and accelerated to pass through the traffic light, and the traffic risk of driving is reduced.

The invention discloses an electric vehicle charging navigation system design based on voice recognition, which is used for solving the problem that an existing electric vehicle charging navigation path cannot provide a satisfactory charging path for a user through voice interaction. The system comprises a voice recognition module used for collecting and processing voice signals in a vehicle; a vehicle information acquisition module used for providing necessary vehicle information for a vehicle-mounted controller module; a vehicle-mounted controller module which is a core module for user datastorage and path planning; a man-machine interaction module used for providing a visual interface and a manual interaction entry for the user; a voice broadcasting module used for providing necessaryfeedback information for a voice command of the user; and a cloud server module used for acquiring traffic information and charging station state information. According to the embodiment of the invention, the electric vehicle charging navigation function is realized through voice interaction with the user, a satisfactory navigation scheme can be effectively provided for the user of an electric vehicle, and the traffic risk caused by manual interaction in the driving process is reduced.

The invention provides a traffic control system which is assembled on a transportation road and a vehicle traveling on the transportation road and comprises a first wireless transceiver, a second wireless transceiver and a processing module. The first wireless transceiver is arranged on the transportation road and stores at least one item of transportation road information. The second wireless transceiver is arranged on the vehicle. The processing module is arranged on the vehicle and electrically connected with the second wireless transceiver, and when the second wireless transceiver receives the transportation road information emitted by the first wireless transceiver, the processing module controls traveling of the vehicle according to the received transportation road information. The traffic control system is based on wireless communication, provides road condition information for drivers, actively controls traveling of the vehicle, and avoids traffic risks possibly caused by unclear indication, insufficient road condition information, careless of drivers and the like.

The invention discloses an urban intersection traffic risk index evaluation method based on composite weight. The method comprises the following steps: a data acquisition module acquires intersectiondata, traffic accident data and intersection video bayonet data; the data are transmitted to the detection module through the processor; urban intersection traffic safety index system data are storedin the database; a detection module acquires urban intersection traffic safety index system data from a database; the detection module is used for carrying out matrix enumeration operation on the intersection data, the traffic accident data, the intersection video bayonet data and the urban intersection traffic safety index system data; according to the invention, the collected related informationis analyzed and processed through the detection module, so that the discrimination matrix and the evaluation matrix are sorted out, the analysis module and the conversion module accurately analyze the index related weights represented by the discrimination matrix and the evaluation matrix, the accuracy of data analysis is improved, the analysis time is saved, and the working efficiency is improved.