526results about How to "Ensure traffic safety" patented technology

An area mixed traffic self-adapting signal coordinated control method relates to the technical field of the automatic control, wherein the vehicle information for entering the control junction is detected through a detector, and the vehicle information is transmitted to the traffic signal controller; the traffic signal controller performs the preheating on the traffic flow data, while the area coordinated control computer analyzes the traffic flow operation state of each inlet section of the junction, to perform the realtime analysis forecast, provides the optimized traffic signal project timing parameters to the traffic signal controller. The method of the invention divided the city road net into a plurality of subareas, adopts the layer net working to coordinated control the duration time of the traffic light at each junction, advances the traffic capacity, prevents the traffic congestion, reduces the off gas, ensures the traffic safety.

The invention discloses an on-vehicle traffic light assisting device in the technical field of intelligent transportation, which comprises a traffic light map module, a global positioning system (GPS) module, an image sensor, a traffic light detection and identification module, a lane identification module and a traffic light state display and prompting early warning module. The on-vehicle traffic light assisting device solves the problems of safe driving of groups with visual disturbance such as color weakness, color blindness and the like, can reduce the probability of traffic accidents caused by the running of the red light of a driver under exceptional conditions, and improves transportation efficiency at crossings.

The invention requests to protect a multifunctional V2X intelligent roadside base station system. The system comprises roadside sensing equipment, an MEC server, a high-precision positioning service module, a multi-source intelligent roadside sensing information fusion module and a 5G / LTE-V communication module. An intelligent roadside device integrating C-V2X communication, environmental perception and target recognition, high-precision positioning and the like is designed, and the problem that multi-device information fusion and integration are inconvenient in intelligent transportation is solved. In the system, a C-V2X intelligent road side system architecture and a target layer multi-source information fusion method are designed. Road side multi-source environment cooperative sensing is combined, real-time traffic scheduling of the intersection is realized by using a traffic scheduling module in the MEC server, and communication and high-precision positioning services are providedfor vehicle driving, and finally the target information after fusion processing is broadcasted to other vehicles or pedestrians through a C-V2X RSU (LTE-V2X / 5G V2X and the like) according to an application layer standard data format, so the driving and traffic safety is improved.

The invention discloses an NRIET fog forecasting method based on machine learning. The method comprises steps that historical and forecast data for model training and operational forecasting in and around the forecast area is collected; the collected data is analyzed and processed to be a sample set for training a machine learning model; for problems, an xgboost model algorithm based on a decisiontree is selected, key influence factors generated by the airport fog are screened, and a relationship model between the fog and the influence factors is established; a training set and a verificationset are trained; according to the parameter adjusting sequence, model parameters are repeatedly adjusted till a forecasting model with optimal performance is acquired; an integrated learning method is utilized, and intersect verification and iteration training are carried out for the model to further improve model forecasting performance; observed real-time data is inputted to the forecasting model to acquire the fog forecasting result.

The invention discloses a lane level navigation reality augmenting device for assisting a driver. The lane level navigation reality augmenting device is operated through the following steps of comparing vehicle travelling information with a perfect driver model under the same working condition; evaluating the current driving behavior and giving directive opinions on the real-time driving behavior under the current working condition; based on the information of lanes on two sides of a vehicle, obtained by an information acquisition device, analyzing the position of the current vehicle; and based on information of a front barrier, acquired by the information acquisition device, according to the specific travelling working condition of the vehicle, performing screening treatment on the information, transmitting concrete display contents to a head-up display device in a real-time manner, and performing dynamic real-time display. According to the lane level navigation reality augmenting device disclosed by the invention, more accurate lane level navigation and more accurate early warning information are provided for the driver, directive opinions are provided for the driving behavior of the driver, and accurate assisting prompt is provided for the due practical operation of the driver under each working condition.

The invention discloses a control system and method of a dedicated lane for an autonomous vehicle. The system comprises a vehicle-mounted system, a roadside system, a cloud lane management center, anda road information prompting system. The vehicle-mounted system includes a vehicle-mounted information processing center, an information acquisition device, a vehicle-mounted communication module, and a human-computer interaction terminal arranged on a manually driving vehicle, and an automatic driving terminal arranged on the autonomous vehicle. The roadside system includes a roadside information processing center, a video monitoring module, a roadside unit and a second 5G communication module. The road information prompt system includes an information issuing center, a variable informationprompt board, a broadcast and a third 5G communication module. The cloud lane management center includes a data processing center, a traffic information database and a fourth 5G communication module.Different traffic congestion impact factors are assigned for a manually driving vehicle and an autonomous vehicle; and whether to start an autonomous vehicle dedicated lane is decided based on a traffic congestion index and an autonomous vehicle penetration index, so that the traffic efficiency is improved.

The invention discloses an environmental-data-based lighting system and method for fuzzy control of street lamps in different periods. The system comprises three components: single lamp controllers, a concentrated controller and a remote monitoring center. Combined with ZigBee short-range wireless network technology and GPRS remote wireless network technology, the system and method can achieve remote control on and information exchange among the street lights. In view of the fact that the control strategy for the street light control technology is too simple to meet the requirement of on-demand lighting under complicated and changing environmental factors, the invention provides an environmental-data-based lighting system and method for fuzzy control of street lamps in different periods. In the system and the method, the influencing factors regarding the environmental luminance at dawn and the dusk as well as the vehicles and pedestrians on street in the middle of the night are considered respectively, and through the fuzzy control methods adopted in different periods, it is possible to improve the control precision of the system so as to meet the dual requirement of both lighting quality and power conserving. According to the invention, it is not only possible to realize fuzzy control to the lighting of street lamps in different periods based on environmental data, but also possible to detect the power consumption of each street lamp, the tilting of a lamp post, and the road water in real time.

A vehicle headlamp apparatus 10 comprising a headlamp 3 for illuminating ahead of a subject vehicle 1, an image capture means 2 for capturing an image 21 ahead of the subject vehicle, a road terminal end determining means 19 for determining a terminal end of a road ahead of the subject vehicle from the image captured by the image capture means, and a light distribution control means 12 for varying a light distribution of the head lamp so as to illuminate a location which is determined to be the terminal end of the road by the road terminal end determining means.

The invention discloses a pedestrian crossing passage traffic light intelligent control system. The pedestrian crossing passage traffic light intelligent control system comprises a pedestrian crossing passage traffic light control module used for controlling the switching of a pedestrian crossing passage traffic light and an automobile traffic light control module used for controlling the switching of the pedestrian crossing passage traffic light, and is characterized by further comprising an image acquisition module used for acquiring pedestrian waiting area images, and a time-waiting equivalent calculation module used for calculating and obtaining a pedestrian time-waiting equivalent according to the acquired pedestrian waiting area images, wherein the pedestrian crossing passage traffic light control module controls the switching of the pedestrian crossing passage traffic light according to the pedestrian time-waiting equivalent calculated by the time-waiting equivalent calculation module, or the automobile traffic light control module controls the switching of the pedestrian crossing passage traffic light according to the pedestrian time-waiting equivalent calculated by the time-waiting equivalent calculation module. The pedestrian crossing passage traffic light intelligent control system is capable of guaranteeing traffic safety, comforting the mood of the waiting people and avoids risky crossing behaviors by reasonably arranging and displaying the waiting time, and improving the crossing efficiency.

The embodiment of the invention discloses a bend passing control method and device for an automatic driving vehicle, equipment and a medium, and relates to the technical field of automatic driving. Atleast one implementation mode of the bend passing control method comprises the steps that the bend boundary in a perception area located in the current driving direction of the automatic driving vehicle is determined on the basis of the current position of the automatic driving vehicle in a bend; the current safe stopping distance of the automatic driving vehicle in the bend is determined throughcurrent driving parameters of the automatic driving vehicle and the bend boundary; a speed threshold value of the automatic driving vehicle is determined according to the current safe stopping distance, braking parameters of the automatic driving vehicle and the bend curvature corresponding to the current position; and the speed of the automatic driving vehicle is controlled to not exceed the speed threshold value. According to the embodiment of the bend passing control method and device for the automatic driving vehicle, the equipment and the medium, the passing success rate of the automaticdriving vehicle in the narrow bend can be increased, and the driving safety is guaranteed.

The invention provides a foggy day detecting method based on an image color spatial feature. The method comprises the following steps of first step, obtaining a background picture through a video image or a single image; step 2, performing color space conversion for the background picture, and extracting the color space feature: firstly performing color space conversion for the background picture, converting from an RGB (red-green-blue) color space into an HSV (hue, saturation, value) color space, and extracting the features of various components of the HSV according to the information included image; and step 3, dividing the weather information included image into a non-foggy day, a little foggy day and a dense foggy day according to the identification conditions: at first, if the identification condition 1 is met, the weather is the dense foggy day, otherwise the identification is continued; secondly, if the identification condition 2 is met, the weather is the non-foggy day, otherwise, the identification is continued; and finally, if the identification condition 3 is met, the weather is the little foggy day, otherwise, the weather is the dense foggy day. The method provided by the invention is suitable for being used for monitoring the foggy day in expressways, particularly pre-warning the emergency of agglomerate fog in partial road segments, thus, the safe road driving can be ensured.

The invention discloses an intelligent expressway traffic monitoring system based on the GPS and GPRS. The intelligent expressway traffic monitoring system is characterized by comprising a background monitoring center, intelligent traffic equipment and data processing centers arranged on an inlet and an outlet of an expressway. The intelligent traffic equipment is allocated to vehicle users when vehicles enter the expressway, recycled when the vehicles exit the expressway and used for recording driving states of the vehicles and sends recorded vehicle information to the background monitoring center in real time; the data processing centers are used for recognizing vehicles when the vehicles enter the expressway and writing the recognized vehicle information in intelligent traffic equipment to be allocated; vehicle historical driving states are read according to recycled intelligent traffic equipment when the vehicles exit the expressway, and billing is carried out according to vehicle historical driving tracks or mileages; the background monitoring center judges states of the vehicles according to the vehicle information which is obtained in real time and sends warning messages or prompts according to the states of the vehicles. The system can precisely bill, relieve traffic jam, improve traveling efficiency, and meanwhile guarantee orderliness and smoothness of the expressway.

The invention discloses an urban traffic guidance method and a guidance system thereof. The guidance system comprises a traffic information acquisition and detection module, a road monitoring center and a guidance terminal. The traffic condition of each road segment can be accurately acquired through the road monitoring center with combination of the detection data of the road monitoring center in the city to perform real-time navigation for the vehicle, the guidance terminal periodically receives road condition information transmitted by the road monitoring center and the guidance route can be continuously adjusted so that the congested road segment and the water gathered road segment can be timely avoided, the pressure of the urban traffic can be effectively alleviated, the passage efficiency and the passage safety of the vehicle owner can also be guaranteed and urban traffic construction can be promoted.

The invention discloses a visibility detecting method based on a high definition video (2592*1936) to realize all-weather visibility detection. The detection method comprises the followings steps: step 1, collecting a high definition image; step 2, calibrating the image, and calculating the distance D (x) of a tested object; step 3, calculating the radiance value A of the global atmosphere of the image; step 4, calculating the transmission coefficient of light t (x); step 5, calculating atmospheric extinction coefficient and visibility; and step 6, performing visibility alarming. Through the method provided by the invention, the visibility situation of a road can be reported for the traffic administrative department timely and effectively, alarm is issued, the driving dangers in severe weather such as heavy fog, rain and snow can be reduced, and the traffic safety can be ensured.

The invention relates to an intersection signal-vehicle trajectory cooperative control method in a vehicle-road cooperative environment. The method comprises the following steps: constructing an intersection signal optimization model; constructing a vehicle trajectory optimization model; solving the intersection signal optimization model and the vehicle trajectory optimization model respectively to obtain a signal timing scheme and a vehicle traveling trajectory, wherein the vehicle traveling trajectory comprises the positions and speeds of vehicles in an entrance lane and an intersection, theintersection annunciator correspondingly executes the signal timing scheme, and the vehicle moves according to the vehicle running track. Compared with the prior art, the method has the advantages that reasonable green light intervals can be dynamically designed according to the size characteristics of different intersections, and vehicle conflicts caused by breaking of the green light intervalsand effective green light time waste caused by overlong green light intervals are avoided; and meanwhile, the driving tracks of the vehicles in the entrance lanes and the intersections are optimized,so that the safety in the signal switching period is guaranteed, and the passing efficiency and safety of the intersections are effectively improved.

The invention provides a vehicle cooperative adaptive cruise control method based on a variable time gap and interval strategy. A radar, a vehicle-mounted sensor and V2V (Vehicle-to-Vehicle) communication are used for determining a number of successive CACC (Cooperative Adaptive Cruise Control) vehicles which are in front of a current vehicle and are within a communication range of the current vehicle, and according to the number of the vehicles, different variable time gap strategies are adopted to determine an expected safe vehicle following interval, expected acceleration is then determined, and therefore, vehicle control is realized. The variable time gap of the invention flexibly changes along with the change of the speed of the current vehicle, a speed difference and the accelerationof a front vehicle, safety, vehicle following properties and a road traffic capacity in a driving process can be effectively balanced, in addition, vehicle cooperative driving can be controlled, a road traffic flow is improved, and journey time is shortened. Meanwhile, a vehicle speed change in the driving process is stable, and driving comfort can be improved.

The invention discloses a traffic jam degree multi-dimensional analysis method based on deep learning. The method comprises the following steps: 1) setting a camera preset position and calibrating a camera; 2) initializing a convolutional neural network model; 3) acquiring a real-time video stream; 4) checking the working state of the camera; 5) performing vehicle target detection on the region ofinterest by using a convolutional neural network model; 6) tracking a vehicle target; ;7) collecting traffic jam;8) initially detecting traffic jam and making jam prediction; 9) analyzing traffic jamdegrees; 10) reporting and traffic jam event and setting sleep state. According to the invention, multi-dimensional traffic parameters such as the road accommodation rate and the average speed are adopted to carry out accurate and rapid traffic congestion degree analysis, the robustness is good, and the detection accuracy is high.

The invention provides a mobile terminal device for safe use of communications and social applications during driving as well as a system and method thereof. The mobile terminal device comprises a communication module, a location module, an interface module, a TTS, hands free, voice control and voice module, personal communications and social applications, and a tool for safe use of the personal communications and social applications during driving. The system of the mobile terminal device further comprises a server located at a cloud terminal and a vehicular network and audio-video communication connector. The tool for safe use of the personal communications and social applications during driving enables the personal communications and social applications to start a drive mode at the terminal device during driving, enables an outside contact contacting with a user to know that the user is driving and to report information, such as driving time, vehicle type, vehicle speed and / or geographic position, and performs distinguishable processing and replay on calls or messages from the outside contacts, so that important callings or messages can be reported to the user in a proper mode, and the user replies in a safe and privacy-protection mode.

The invention provides a crossing traffic signal control optimization method in complex weather conditions. The method includes following steps: traffic flow detectors are arranged at a road crossing so that the traffic flow data of various lanes of the road crossing is detected in a dynamic manner and obtained; a weather state detector is arranged at the road crossing so that the weather condition of the road crossing is detected in a dynamic manner and obtained; dynamic optimization of traffic signals is realized via a traffic signal controller according to the detected weather state and the traffic flow data, and when the optimal signal timing aiming to the on-site complex weather condition and the traffic flow is obtained, signal lamps at each entrance of the road crossing are turned on in an alternate manner, and the optimal distribution control of time of the crossing traffic flow is realized. According to the method, based on the comprehensive detection and measurement of different weather conditions such as snow, rain, and fog etc. of the crossing and the traffic flow, dynamic optimal control of the traffic signals of the crossing are realized, traffic jam is reduced, and the traffic safety is guaranteed.

The invention discloses a guide type highway anti-fogging system, which comprises a visibility detector, an anti-fogging early warning display screen and an information integration controller, wherein the visibility detector is arranged in a distance meeting lowest safety testing requirements on the way of the highway, and the anti-fogging early warning display screen is arranged in front of the visibility detector according to the running direction of a vehicle; the visibility detector sends real-time visibility data of the road to the information integration controller when detecting suddenreal-time visibility change, the real-time visibility data is compared with built-in data in a database and a control threshold value, and the anti-fogging early warning display screen is started immediately when the visibility is lower than the stipulated threshold value. The anti-fogging system is scientific, rational and practical, takes the real-time visibility data as a basis for starting the early warning display and guide devices on foggy days, can discover and early warn mass of fog and the like which cause sudden visibility reduction in time, effectively reduces the incidence rate oftraffic accidents when the visibility is low on foggy days, and ensures road traffic safety.

The invention discloses a dynamic traffic abnormal data detection and recovery method including abnormal data detection and abnormal data recovery. A density-based local abnormal isolated point discovery method is adopted for abnormal data detection, and a grey system theory based recovery method is adopted for abnormal data recovery. By the method, abnormal data in vehicle operating data in dynamic traffic are detected and recovered effectively in real time, data quality is improved, and traffic safety is guaranteed finally accordingly.

The invention discloses a dynamic track spike lamp under linkage control with an intersection annunciator and a control method of the dynamic track spike lamp. The dynamic track spike lamp comprises a column of double-face light-emitting track spike lamp bodies spaced at set intervals. Each light-emitting side face comprises red LED lamps and green LED lamps which are arranged alternately. The red LED lamps and the green LED lamps are connected with a single-chip microcomputer through control lines respectively. The track spike lamp bodies controlled by the single-chip microcomputer and the annunciator are connected with a traffic signal output port of an adjacent road. The double-face light-emitting track spike lamp bodies are laid on the two sides of a lane boundary line or zebra stripes. The dynamic track spike lamp has the beneficial effects that information of the annunciator can be displayed through the track spike lamp bodies, passing vehicles or pedestrians can judge whether to pass or not by observing track spikes on a road surface, and the situation that drivers and the pedestrians ignore observation of the lower road condition due to observation of the upper signal lamps when reaching an intersection is reduced.

The invention discloses a high and low sensor alternate tracking energy-saving street lamp system and a control method thereof. The high and low sensor alternate tracking energy-saving street lamp system comprises a plurality of street lamps, a street lamp control module, a wireless communication module, a wireless sensor network, a sensor control module and a central control unit; the plurality of street lamps are arranged on the bilateral sides of the road surface; the wireless sensor network comprises high sensors and low sensors which are arranged below the high sensors. According to the high and low sensor alternate tracking energy-saving street lamp system and the control method thereof, the number of front or rear lighted lamps and the lighting duration are calculated according to the movement speed and the movement direction of a moving target, a lighting data instruction is transferred between the adjacent street lamps, and accordingly the communication distance is reduced, the energy consumption is saved, and the service life of the street lamp system is fully extended due to the fact that the working mode that the high sensors and the low sensors are separated from each other is adopted to form the advantage complementation.

The invention relates to a special lane left-turn intersection pre-stop line and pre-signal setting method, which adopts a special lane left-turn signal to control an intersection, and carries out integrated optimization on special pre-stop line and pre-signal setting, so that traffic capacity is improved on the basis of ensuring pass safety. The optimization setting method takes maximum traffic capacity as an optimization target, and establishes a linear programming model for optimizing with constraint conditions of queuing length, vehicle clearing and optimization parameter value range and the like being taken into consideration. The method can enable special lane left-turn intersection special pre-stop line and pre-signal setting key parameters to be integrated into a unified optimization model for synchronous optimization, thereby giving full play to the pass efficiency of the special lane left-turn intersection and relieving traffic jam.

The invention provides a lamp group based mixed traffic flow signal timing optimization method, which comprises the steps of numbering each lamp group; setting a target function to be solved, wherein the target function takes the shortest period as a solving target, or takes the shortest period as a solution or takes the maximum traffic capacity as a solution; setting constraint conditions of the target function; writing a non-linear optimization solving program according to the target function and the constraint conditions; and finally acquiring an optimization timing result. The method provided by the invention has the advantages and beneficial effects that a signal timing scheme can be flexibly adjusted in allusion to flow requirements of different lamp groups, a concept of phase position is not used, turn-on of the lamp groups is not affected by other traffic flows at the same phase position any more, and the green lamp turn-on time of different traffic flows can be connected flexibly so as to achieve maximization of the traffic efficiency of a road crossing; and the traffic safety of non-motorized vehicles and pedestrians can be effectively ensured, and solving is conducted simply and conveniently.

The embodiment of the invention relates to an intelligent driving vehicle yielding method and device and vehicle-mounted equipment, in the embodiment of the invention, an intelligent driving vehicle travels on a special road, the special road is configured with a plurality of road monitoring units, and the method comprises the following steps: determining a corresponding road monitoring unit basedon state information of the intelligent driving vehicle; receiving monitoring information of the corresponding road monitoring unit; determining whether a passing vehicle needing to be avoided existsbased on the monitoring information; and if the passing vehicle needing to be avoided exists, the intelligent driving vehicle is controlled to avoid. In the embodiment of the invention, according tothe monitoring information provided by the road monitoring unit, the yielding action is adopted for the vehicle needing to be avoided in advance, and the traffic efficiency is improved and the trafficsafety is ensured through the effective cooperation between the vehicles and the road.

The invention relates to a highway and city expressway connection part traffic coordination control system which comprises a traffic flow detector, a traffic signal control machine, a traffic information display screen, and a traffic coordination control machine which are arranged at a highway and city expressway connection part. The traffic signal control machine carries out alternative controlling on the traffic lights of each entrance according to traffic flow detection data and a traffic coordination control machine instruction, the distributed control of the traffic flow in time is realized. The traffic information display screen carries out corresponding prompt displaying according to the traffic coordination control machine instruction, and the traffic diversion control of the traffic flow in space is realized. The traffic coordination control machine receives a highway monitoring center instruction through a wireless network, dynamically optimizes and gives a traffic signal control instruction and a traffic information display instruction and issues the instructions to the traffic signal control machine and the traffic information display screen through a wired network to carry out traffic coordination control.

The invention discloses an expressway intelligent OBU device based on real-time data interactions, and the device comprises a data processing module as well as a radio frequency billing module, a GPS module, a GPRS module, a Bluetooth and WIFI module, an acceleration module, a voice communication module, a display module and a user operation module which are separately connected to the data processing module and also comprises a solar cell module which is used for charging of a power source in the radio frequency billing module. The expressway intelligent OBU device based on the real-time data interactions disclosed by the invention has the advantages that accurate billing can be realized; behaviors violating laws and regulations can be managed; the information and data interactions between a driver and an expressway management center can be established; finally expressway communication conditions can be managed effectively; travelling efficiency can be increased; and orders and smooth traffic of an expressway are ensured.

The invention discloses a system for traffic violation automatic recording. The system is characterized by comprising a video and image acquisition module, a pedestrian signal lamp acquisition module, a motor vehicle detection module, a pedestrian detection module, a traffic violation determination module, and a traffic violation automatic recording module. Beneficial effects of the system and the method are that the system automatically and continuously acquires and records motor vehicles which do not avoid pedestrian in a pedestrian crossing region for 24 hours all weather, the system obviously improve efficiency of road traffic control, strictly restrains driving behaviors of vehicle drivers, effectively ensuring traffic safety of pedestrian, and improves traffic efficiency of urban road intersections.