746 results about "Traffic intersection" patented technology

An apparatus of the invention includes a device for triggering a camera to photograph a vehicle within a traffic intersection, where the triggering of the camera is dependent on the speed of the vehicle before entering the intersection and may also be dependent on presence information. The device includes a sensor system (or "sensor array") to transmit signals corresponding to a moving vehicle and a control system for processing the signals and triggering the camera. The signals preferably include "position signals" from which a transit time can be calculated, and "presence signals," from which presence information can be obtained, particularly the location of the rear of the vehicle or the location of the rear wheels of the vehicle. A trigger time for taking a picture of the vehicle may be calculated from the transit time. A method of the invention includes the step of transmitting signals to a control system in response to the vehicle passing over a first traffic sensor and corresponding to the speed of the vehicle. The method may also include the steps of transmitting presence signals to the control system, preferably corresponding to the presence of the vehicle in a known presence zone outside the intersection, and photographing the vehicle in response to those signals. The system preferably uses a first set of signals (reflecting vehicle speed or transit time) and a second set of signals (reflecting the presence of the vehicle) to determine when to trigger the photograph of the vehicle in the intersection zone.

A distributed individual vehicle information capture method for capturing individual vehicle data at traffic intersections and transmitting the data to a central station for storage and processing is provided. The method includes capturing individual vehicle information at a plurality of intersections (122) and transmitting the individual vehicle information from the intersections to a central station (124). Consequently, the individual vehicle information is available to be stored and processed by a device at the central station (126). Traffic intersection equipment for capturing individual vehicle data at traffic intersections and transmitting the data to a central station for storage and processing is also disclosed. The equipment includes a traffic detection device (159) for capturing individual vehicle data at an intersection (158) and a network connection to a central station (174). The traffic detection device (159) is operably configured to transmit to the central station (174) the individual vehicle information.

A traffic control system is provided including an arrangement of traffic lights at a traffic intersection, and a radar sensor installed at the intersection such that its field and range of detection covers at least one approach to the intersection. The radar sensor is adapted to sense the presence of vehicles within a predetermined field of view and range. A controller for switching the traffic lights is operated by an electronic processor utilizing information developed from data inputted from the radar sensor. The radar sensor is a multi-object radar sensor capable of developing data from which the location, speed, acceleration or deceleration, and direction of travel of each vehicle within its field and range of detection can be derived.

Avoiding vehicle collisions using an in-vehicle device is provided. The method comprises receiving a connection request from an in-vehicle device within a moving vehicle when the moving vehicle is within a selected distance from a traffic intersection, establishing connection with the in-vehicle device within a moving vehicle via a serving base station, receiving position information from the in-vehicle device within a moving vehicle corresponding to a position of the moving vehicle, receiving control information for a traffic light at the traffic intersection from a traffic management center and relaying the control information for the traffic light to the in-vehicle device within a moving vehicle. A warning is issued based upon a vehicle speed, a location and a position relative to a traffic intersection. A warning is also issued based upon multiple vehicles speed, relative locations to each other and each position relative to a traffic intersection.

The invention provides a convolutional neural network based vehicle logo identification method. The method is specifically implemented by the following steps of: (1) inputting a to-be-detected picture shot by a high-resolution camera device in a traffic intersection; (2) positioning a vehicle logo; (3) constructing and training a convolutional neural network; and (4) identifying the vehicle logo. With the adoption of the convolutional neural network (CNN) based vehicle logo identification method, the shortcomings of complicated extraction feature operator, poor timeliness and complicated model in the prior art can be effectively overcome, and the calculation amount is effectively reduced; and features of CNN self-learning have higher robustness on environmental change, so that the identification rate of the vehicle logo is increased.

An apparatus of the invention includes a device for triggering a camera to photograph a vehicle within a traffic intersection, where the triggering of the camera is dependent on the speed of the vehicle before entering the intersection and may also be dependent on presence information. The device includes a sensor system (or "sensor array") to transmit signals corresponding to a moving vehicle and a control system for processing the signals and triggering the camera. The signals preferably include "position signals" from which a transit time can be calculated, and "presence signals," from which presence information can be obtained, particularly the location of the rear of the vehicle or the location of the rear wheels of the vehicle. A trigger time for taking a picture of the vehicle may be calculated from the transit time. A method of the invention includes the step of transmitting signals to a control system in response to the vehicle passing over a first traffic sensor and corresponding to the speed of the vehicle. The method may also include the steps of transmitting presence signals to the control system, preferably corresponding to the presence of the vehicle in a known presence zone outside the intersection, and photographing the vehicle in response to those signals. The system preferably uses a first set of signals (reflecting vehicle speed or transit time) and a second set of signals (reflecting the presence of the vehicle) to determine when to trigger the photograph of the vehicle in the intersection zone.

The invention discloses a traffic intersection intelligent monitoring method. The traffic intersection intelligent monitoring method comprises the steps of: firstly, acquiring images of a traffic intersection region through multiple camera devices and performing three-dimensional calibration on the multiple camera devices; setting virtual borders for images of a main monitoring region acquired by the well-calibrated camera devices and dividing the main monitoring region into multiple regions by utilizing the virtual borders; obtaining an indicating state of a signal lamp in the traffic intersection region; judging whether a pedestrian and / or a vehicle appear or appears in the images of the traffic intersection region, if so, calculating a real three-dimensional coordinate of the pedestrian and / or the vehicle in the traffic intersection region through a central processing unit and determining the attributive region of the pedestrian and / or the vehicle in the whole traffic intersection region based on the three-dimensional coordinate; judging by the central processing unit based on the indicating state of the signal lamp and the attributive region of the pedestrian and / or the vehicle. The traffic intersection intelligent monitoring method not only reduces facility cost for traffic violation supervisory control, but also optimizes configuration of the signal lamp through information exchange with a signal lamp control system.

The invention proposes a selective search and convolutional neural network based vehicle logo recognition method, and mainly solves the problems of complicated calculation and poor timeliness in the prior art. According to the implementation scheme, the method comprises the steps of 1) inputting a to-be-detected picture shot by a high-definition shooting device in a traffic intersection; 2) carrying out selective search for the to-be-detected picture to obtain candidate regions; 3) screening the candidate regions to obtain vehicle logo candidate regions; and 4) constructing and training a convolutional neural network (CNN) and inputting the logo candidate regions into the trained CNN for testing to obtain a vehicle logo recognition result. According to the method, the calculation amount is effectively reduced, the vehicle logo candidate regions can be quickly obtained, a self-learning characteristic of the CNN has higher robustness for environmental change, and the vehicle logo recognition rate is increased; and the method can be used for quick detection of freeway entrances and parking spaces to vehicles.

The present invention relates to an intersection signal control method based on multiple intelligent agents, and belongs to the intelligent traffic intersection control technology field. The method realizes the traffic information real-time dynamic sharing by respectively establishing the intelligent agent models of the traffic entities, such as the vehicles, the road sections, the intersections, the signal lamps, etc., and by utilizing the interactivity and the coordinated cooperation among the multiple intelligent agents, and concretely comprises the three links of the signal cycle optimal regulation and control, the phase conflict green light signal control and the vehicle speed guide auxiliary control. The method can obtain the individual operation state of each vehicle intelligent agent real-timely, and can realize the dynamic interaction between the vehicle intelligent agents and a traffic control system via the speed guide. Meanwhile in allusion to a multi-intelligent agent traffic environment, the caused green light time waste is considered when no vehicle passes at the current phase while a whole phase cycle is optimized, the collision is avoided, and the total number of the vehicles passing the whole intersection is increased by switching to the conflicting phases, the queuing waiting time of the vehicles in phase conflict is reduced, and the average delay of the intersection and the parking times can be reduced effectively.

The invention discloses a traffic intersection monitoring technology and system based on video image analysis. The system comprises a network camera, a network switch, a computer processor, an output control interface, a signal lamp machine and information distribution terminal equipment. The method is characterized in that firstly, each path of camera and client side analysis software detect vehicles and traffic flows in each direction within a designated area in real time by a video image analysis technology; then, the comprehensive analysis and calculation of a server side gives an optimal signal lamp control parameter for automatically switching a signal lamp; and images of road in a abnormal situation are distributed to respective destinations. The system has the advantages that the camera used for detecting a road surface is erected in the air and the installation cost and maintenance cost are low; when a road is changed, equipment does not need to be installed again but can be flexibly and conveniently changed by software; the video image analysis technology is used for detecting the road surface, thus the observation range is large and the accuracy rate is high. The invention is suitable to control the signal lamp on the intersection and distribute images of intersections in an abnormal state.

The invention relates to an urban intersection traffic signal control method, relates to a multi-phase-jump and vehicle full-dynamic induction traffic control method, and aims to flexibly control traffic signals at intersections by using a traffic signal instrument so as to improve the traffic pass property of vehicles at the intersections and reduce the total delay time of vehicles. The method comprises the following steps: 1) setting an upstream vehicle detector and a parking line vehicle detector at each lane of a traffic intersection, and detecting dissipating vehicle and information of vehicles entering the intersection in real time; 2) according to the numbers of vehicles waiting in different lanes and vehicles running into the intersections, automatically transmitting passing signals to busy lanes by using a busy lane priority pass method through a traffic signal instrument control system so as to induce the vehicles in the lanes to pass prior; 3) by using a method that compatible lanes adopt one same phase and non-compatible lanes are subjected to phase-jump induction control, providing the priority pass right for lanes with a plenty of waiting vehicles or a lane into which a plenty of vehicles run. Due to the adoption of the method, a relatively good induction effect can be achieved at intersections with unsaturated traffic vehicles.

The invention relates to a traffic light adjustment method and device, and the method comprises the steps: obtaining the flow information of a traffic intersection, wherein the flow information comprises at least one of the number of pedestrians waiting to pass at a zebra crossing, the waiting time of the pedestrians, the number of vehicles waiting to pass on lanes, and the waiting time of the vehicles; and adjusting the display of the red and green lights of the traffic intersection according to the flow information. Through the technical scheme of the invention, the method and device adjust the red and green lights according to the number of pedestrians and the number of vehicles, can reduce the waiting time of the pedestrians and vehicles, improve the passing rate of the pedestrians and vehicles, and improve the user experience.

A method, system and processor-readable medium for automatically detecting anomalies at a traffic intersection. A set of clusters of nominal vehicle paths and a set of clusters of nominal trajectories within the nominal vehicle paths can be derived in an offline process. A set of features within each nominal trajectory among the set of clusters of nominal trajectories can be selected. A probability distribution for features indicative of nominal vehicle behavior within the nominal trajectories can be derived. An input video sequence can be received and presence of the anomaly in the vehicle path, trajectories and features within the input video sequence can be detected utilizing the derived path clusters, trajectory clusters, and feature distributions.

A trace prediction control method for an autonomously driven vehicle based on a traffic signal lamp belongs to the technical field of an automobile. The invention aims to provide the trace prediction control method for the autonomously driven vehicle based on the traffic signal lamp, wherein trace prediction control is performed on the autonomously driven vehicle in real time based on information of the traffic signal lamp, thereby maximally reducing the number of stoppage times and realizing energy saving and emission reduction effects. The trace prediction control method comprises the steps of acquiring information, performing dynamic modeling on an automobile, and performing online optimization on a trace planning control problem of the autonomously driven vehicle. The autonomously driven vehicle according to the invention can optimize a speed trace in a prediction distance according to the information of the traffic signal lamp, so that the vehicle smoothly passes through an intersection and furthermore the number of stoppage times of the vehicle is reduced.

An encrypted traffic signal device controller (TSDC) and an Electronic Variable Message Sign (EVMS) at intersection roadways and related traffic intersections where the invention system is installed at traffic light intersections which will be triggered at the red light sequence where vehicles / pedestrian / cyclists are stopped. After the traffic light turns red, the time delay of the red light will trigger an audio and visual public announcement which will be of assistance to the driver and enable the driver to pay attention to the announcement without being concerned about diverting the driver's attention from driving the vehicle since the vehicle is stopped at a red light and the driver can devote his attention to reading the information provided.

A system and method for determining whether a driver of a host vehicle intends to make a left or right turn with a certain level of confidence. The method obtains a plurality of turning cues that identify external parameters around the host vehicle and / or define operating conditions of the host vehicle, and determines a confidence level that the host vehicle will make a left or right turn based on the turning cues, where determining the confidence level includes weighting each of the cues based on current vehicle operating conditions.

The invention relates to field programmable gate array (FPGA)-based intersection queue length image detection and traffic signal control implementation, and belongs to signal processing technology, communication technology and traffic signal control technology. A digital image interested region is detected by using an FPGA chip on the basis of the conventional signal machine, and the queue length at a traffic intersection is extracted and a signal machine mainboard is communicated with an ARM7 processor so as to control a traffic signal lamp. The invention is characterized in that: an image processing algorithm circuit constructed by FPGA hardware logic analyzes and processes the acquired image signal, calculates the split green ratio according to the result and makes an image processing algorithm become hardware without a computer or a digital signal processor (DSP) and other core processors.

The invention requests to protect a multi-branch target detection method based on a traffic scene, and the method comprises the steps: S1, obtaining a high-definition picture taken by a traffic intersection to construct a related data set, carrying out the classification and marking of traffic scene images, generating a corresponding category label, and dividing a training set and a test set; s2,building a network model with 32 layers based on deep learning, obtaining nine anchor frame priori through a k-means clustering algorithm; averagely distributing the nine anchor frames into three detection branches; enabling the network to convert the detection task into a regression task; simultaneously completing the classification of the targets and the regression of the bounding boxes on one network; unifying four steps of candidate box generation, feature extraction, classification and position finishing of a target detection algorithm into a deep network framework, carrying out end-to-end training on a network model by adopting a back propagation and random gradient descent method, reducing a loss function to a small range through iterative training, and then stopping training.

The invention relates to a road traffic vehicle speed induction method. The method is mainly and technically characterized in that an intersection information releasing module releases intersection information in real time; an intersection information obtaining module receives the intersection information in real time and transmits the intersection information to a core processing module; a vehicle positioning module obtains the speed and the position of a vehicle in real time and transmits the speed and the position to the core processing module; according to the intersection information and the vehicle position and the vehicle speed of the vehicle, the core processing module calculates the speed of the vehicle passing an intersection in a green light period, and the speed of the vehicle is induced. The method is reasonable in design, it is guaranteed that the vehicle reaches the intersection in the traffic signal green light period and quickly passes the intersection, it is avoided that the vehicle parks at the intersection during a red light period, average speed of the vehicle passing the intersection is greatly increased, more vehicles can pass in the limited green light time, and the go-through efficiency of the whole traffic intersection is effectively improved.

A system includes a plurality of sensors that provide information regarding instantaneous traffic conditions incident to an intersection. An inference engine of the system receives the sensor information and processes user-defined traffic control algorithms and weighted management parameters. Control signals are derived in accordance with the processing. Multi-state signaling devices are driven in accordance with the control signals so as to manage vehicular and pedestrian traffic flow at the intersection. Playback of historic traffic information permits analysis and verification of the traffic management strategies implemented by the system.

Methods and systems for automatically detecting multi-object anomalies at a traffic intersection utilizing a joint sparse reconstruction model. A first input video sequence at a first traffic location can be received and at least one normal event involving P moving objects (where P is greater than or equal to 1) can be identified in an offline training phase. The normal event in the first input video sequence can be assigned to at least one normal event class and a training dictionary suitable for joint sparse reconstruction can be built in the offline training phase. A second input video sequence captured at a second traffic location similar to the first traffic location can be received and at least one event involving P moving objects can be identified in an online detection phase.

The invention provides a smartphone based mobile guidance system for a blind person. The mobile guidance system comprises a basic navigation system, a comprehensive image processing system and a voice auxiliary system. The basic navigation system acquires real-time GPS (global positioning system) signals and processes the signals through built-in navigation software of a smartphone to obtain positioning data, and the system makes a plan of an advancing route after the blind person inputs destination information by voice input. The comprehensive image processing system comprises a blind sidewalk recognition module and a traffic intersection identification module, the blind sidewalk recognition module acquires blind sidewalk information in real time by the aid of a camera of the smartphone and processes the information to realize positioning of a blind sidewalk area, and the traffic intersection identification module acquires traffic intersection information by the aid of the smartphone and realizes intersection information identification by positioning of a zebra crossing when the blind person approaches an intersection. The voice auxiliary system converts processing results of each system into corresponding prompt voices which are fed back to the blind person to guide the blind person to move forward.

The invention provides a crossroad traffic control method capable of enhancing the vehicle traffic capacity, and belongs to the technical field of urban traffic control. In order to solve the problem of low vehicle traffic capacity of the conventional traffic intersection control method, the crossroad traffic control method capable of enhancing the vehicle traffic capacity adopts a technical scheme that: a waiting area is added at each intersection of the crossroad, and the waiting areas are positioned at the positions of a left turn lane and a forward lane, wherein each waiting area corresponds a group of waiting area signal lamps; the waiting area signal lamps respectively instruct left turn vehicles or forward vehicles to enter the waiting areas; the motor vehicles entering the waiting areas are the left turn vehicles or forward vehicles; and the motor vehicles orderly enter the waiting areas according to the waiting area signal lamps and run according to the instructions of the corresponding centre signal lamps. The crossroad traffic control method is applicable for traffic management and control of flat crossroads of middle and large cities.

The invention discloses a traffic intersection signal light state identification method based on video image processing. The method comprises the following steps of: acquiring a video image in real time via a video device, manually drawing the position of a signal light group on the video image, segmenting the region of the signal lights, and making the region into a mask; after acquiring each frame of image, smoothing the image in the mask region, removing noise influence, and analyzing the signal light image in the mask. A color transformation method is designed for graying color images, namely, three components in the color image are extracted, the min(r-g, r-b) operation is executed on a red or yellow signal light region, and for a green signal light region, the min(g-r, g-b) operation is used. The pixels of the traffic signal lights are separated from the image through a threshold method, the number of pixels separated from 25 frames of image in one second of three signal light regions is respectively accumulated, and the maximum one of the three accumulated values is taken as the basis for judging that the light is on.

Pedestrian detection and counting for traffic intersection control analyzes characteristics of a field of view of a traffic detection zone to determine a location and size of a pedestrian area, and applies protocols for evaluating pixel content in the field of view to identify individual pedestrians. The location and size of a pedestrian area is determined based either on locations of vehicle and bicycle detection areas or on movement of various objects within the field of view. Automatic pedestrian speed calibration with a region of interest for pedestrian detection is accomplished using lane and other intersection markings in the field of view. Detection and counting further includes identifying a presence, volume, velocity and trajectory of pedestrians in the pedestrian area of the traffic detection zone.

A method and apparatus for displaying a representation of a traffic intersection on a display of a computer is disclosed. The method involves receiving operator input defining a relative orientation between a first roadway and a second roadway, the first and second roadways forming an intersection area therebetween. The method also involves receiving an operator selection of a design vehicle that is expected to use the traffic intersection, the design vehicle being defined by a plurality of design vehicle parameters. The method further involves generating at least one turning path of the design vehicle through the intersection between the first roadway and the second roadway, and generating first vehicle extent locations associated with passage of the design vehicle along the at least one turning path. The method also involves generating an outer edge of the intersection area, the outer edge being generally aligned with selected ones of the first vehicle extent locations, and generating display signals for causing the computer display to display an image representing the traffic intersection.

The invention provides a method and a system for detecting illegal left-and-right steering of a vehicle at traffic intersection. The method comprises the following steps of: decoding monitoring video streaming in real time from the traffic intersection so as to obtain a video image; distinguishing vehicles passing through the traffic intersection and detecting the moving trails of the vehicles; and presetting at least one virtual position on a steering lane of the video image so as to judge that the vehicle has illegal steering when the steering is not allowed by a signal lamp at the traffic intersection and the moving trail of the vehicle passes through the virtual position. According to the invention, by adopting the method for intelligently analyzing the video, the virtual loop is drawn on the monitoring video, the moving trail of the vehicle is tracked and analyzed through characteristics, and whether the vehicle has illegal steering is judged through the preset virtual loop so as to reduce the workload of manual check and control; and simultaneously, as the touch capture is achieved through the video virtual loop, the way that an induction loop is embedded in a pavement in the traditional technology is avoided, and the pavement does not need to be dig.

The invention discloses an optimal control method and device for traffic artery signal lamps. The method includes the step of subsystem dividing, the step of subsystem processing and the step of green wave control. According to the step of subsystem dividing, on the basis of flows, collected in advance, of vehicles driving in and driving away an arterial road from all three-level roads between adjacent intersections of the arterial road, vehicle passage speed and the flows of the vehicles of the adjacent intersections of the arterial road are corrected, association degrees between the adjacent intersections are calculated, and the intersections of the arterial road are divided into subsystems according to the association degrees; according to the step of subsystem processing, periods of the subsystems and split green ratios of all the intersections are calculated to obtain green wave control parameters; according to the step of the green wave control, the green wave control is performed on the subsystems with the association degrees larger than or equal to a set value I2 by using the obtained green wave control parameters. According to the mutual association degrees, all the intersections of the arterial road of urban traffic are divided into the subsystems to be processed to achieve the green wave control effect, so that the split green ratios of the traffic intersections are improved, and most vehicles can pass through green wave bands.

The invention discloses a bidirectional broadcast type inter-vehicle communication system and method. The system mainly comprises a wireless transceiver and an information processing device, the wireless transceiver comprises an antenna, a duplexer, a transmitter, a code modulator and a receiver, and the information processing device comprises a system controller, a information parsing processor, a broadcast information preprocessor, a ranging processor, a vehicular system interface, a sensor interface, a display and position interface and an information processing center. The method includes the technical processes of broadcasting vehicular information outwards, receiving broadcast information of adjacent vehicles in real time, measuring relative distance of front and back vehicles within communication distance, warning the surrounding vehicles within a certain distance range, transmitting warning information to subsequent vehicles and receiving passed vehicle broadcast information in real time. By the system and method, functions of collision-avoidance warning, traffic information rebroadcasting, traffic intersection information statistics and the like are realized effectively, and traffic accident occurrence rate is lowered.