594results about "Traffic control supervision" patented technology

An electric street light controller apparatus and monitoring method allows automatic street light turn-on and turn-off characteristics to be field programmable using RFID technology, lamp current magnitude recording, auxiliary sensor input, diagnostic alarming and data storage for later retrieval in a remote electric street lighting monitoring system. The apparatus and method includes, from a remotely located exciter apparatus using an antenna to transmit a specific frequency and code key to the antenna of an electric street light control and monitoring apparatus associated with the electric street light allowing remote wireless field programming of turn-on fight levels, turn-off light levels, rate of change of light levels, specific turn-on, turn-off, and turn back on sequences during dark hours, and specific remote wireless sensors or internal sensor inputs useful for radiological, biological, chemical, or environmental sensing and alarming. Additionally the method and apparatus includes a method of providing automatic diagnostics for the street lamp bulb, starter and self diagnostics of the controller itself.

In a method and system of service management, a radiative sensor is positioned to observe an area of interest. At least one frame of data of the area of interest is electronically acquired from the radiative sensor. The acquired frame of data is electronically processing to determine the presence or absence of at least one object in the area of interest. Based on the presence or absence of the object in the area of interest, (1) an alert is electronically caused to be generated in response to also electronically detecting another object in another area of interest, and/or (2) a timer is electronically caused to initiate or terminate counting a period of time.

The invention discloses an automatic detection system for a highway traffic event. The system comprises a data acquisition unit which comprises a millimeter radar and a video acquisition device and isused for acquiring a vehicle movement track and vehicle information, a data analysis and event judgment unit used for judging whether a vehicle state belongs to an abnormal driving state or not according to the vehicle movement track and the vehicle information acquired by the data acquisition unit, an on-site alarm unit used for giving an alarm on event information of a highway site and giving an alarm to a driver when a judgment result obtained by the data analysis and event judgment unit is the abnormal driving state, and a background management unit used for coordinately controlling the data acquisition unit, the data analysis and event judgment unit and the on-site alarm unit and displaying acquired data information, judgment result and alarm information. According to the system, a millimeter-wave radar and video fusion mode is utilized, an event detection range is improved, the event detection types are more comprehensive, and the all-weather automatic detection and early warning reminding of the highway event are realized.

An emergency vehicle traffic signal preemption system using existing inductive traffic loops that is either “car-active” or “car-passive”. In the “car-active” system, a passive element having position information transmits an ID tag and the position information to a transceiver in the vehicle when an emergency vehicle is detected by the existing inductive traffic loop. In the “car-passive” system, a transceiver at the intersection is activated to send an excitation signal to a transponder on the emergency vehicle. The transponder responds with the emergency vehicle ID. The transceiver in the vehicle in the “car-active” system or the transceiver at the intersection in the “car-passive” system, transmit position information to the traffic controller to preempt operation of the traffic signals.

The invention relates to the field of intelligent traffics, and discloses a signal lamp state detection method and a signal lamp state detection system based on video processing. The detection method and the detection system are secure and effective, and are low in complexity, so that a signal lamp state can be detected reliably with relatively high precision in real time, and powerful enforcement evidences are supplied to public security traffic departments. The method comprises the following steps of: determining a signal lamp region position in a video frame image comprising a signal lamp by using a positioning algorithm; analyzing chroma information, brightness information and saturation information in the extracted signal lamp region position, and determining the state of the signal lamp according to an analysis result; and sounding an alarm for the signal lamp in an abnormal state. Aiming at the shortcoming of relatively complicated mounting process of the conventional traffic signal lamp detector for signal lamp state detection and the shortcoming that the hardware cost of a product is increased because an extra signal lamp power line is required to be connected, the signal lamp state detection method and the signal lamp state detection system have the advantages of mounting simplicity, high detection stability and high precision, and extra hardware cost is not required.

The invention discloses a video processing-based intelligent signal lamp state detection method and a detection system. For the video of a signal lamp, the regional position of the signal lamp is determined based on the positioning algorithm. At the same time, the imaging quality of the detection region of the signal lamp is analyzed. Therefore, whether the video quality of the signal lamp is abnormal or not is judged, and then the abnormal level of the video quality is given. If the abnormal level of the video quality is within the range of the abnormal level, the region of the signal lamp is segmented out in combination with a Gaussian model and an HSI color space. Meanwhile, the connected domains of the detection region of the signal lamp, that meet the chromacity requirement, the brightness requirement and the saturability requirement, are extracted based on the clustering analysis. After that, an optimal connected domain is extracted based on the geometric feature analysis on shape, color, position and the like. In this way, the state of the signal lamp can be determined. At the same time, the shape of the signal lamp is recognized by an SVM classifier. According to the invention, no hardware accessory and the installation thereof are required. The method and the system are stable, effective, strong in self-adaptability and small in complexity, which are capable of monitoring the state of the signal lamp in real time. Meanwhile, in harsh environments and poorly imaged conditions, the method and the system provide more accurate and more effective law enforcement evidences for police traffic management.

This invention provides a position monitor method and a system , in which, said method includes: A, designing a mobile admitted boundry of a monitor target and a mobile admitted region corresponding to said boundary, B, plotting out caution regions contained in the mobile admitted region including caution regions in the admitted region sphere and those passed by the boundary or pressing the edge, said caution region is a square and the transverse edge of said square is parallel to the woof, every caution is corresponding to a parameter including the longitudinal and latitude value of an any opposite angle of the square on an electronic map, C, following the position change of the monitor target to report the current position information including longitudinal and latitude value of the current position of the target, D, determining the caution region the target places based on the information of the target to issue beyong the mark alarm information when the target overstepping the mobile admitted region.

The invention relates to a monitoring system of the safety and the efficiency of a traffic signal of an intersection. The monitoring system is provided with a color video camera in each direction of the intersection and used for intelligently detecting and identifying traffic signal lights and driving conditions of vehicles to monitor the safety and the efficiency of the traffic signal of the intersection by locally operating an image processing algorithm on a video board, identifying the states of the traffic signal lights from video images to monitor whether traffic signal control or the traffic signal lights are abnormal or not, detecting the red light running of the vehicles from the video images to judge whether yellow light retaining time is set to be great short and an electronic police is necessarily arranged to reduce red light running incidents of the vehicles or not and detecting the vehicles which wait a green light on the intersection or drive to the intersection from the video images to evaluate whether the time distribution of red and green lights is reasonable and the traffic signal control is efficient or not. Information acquired by the monitoring system can not only be used for an intersection machine in the field of the intersection, for example, a signal light is started to flash in yellow when the traffic signal is monitored to be abnormal, but also be remotely uploaded to a traffic management center through a network.

The invention discloses a video-based method and device for detecting traffic lights. The method comprises the steps of converting an acquired image into an HSV (Hue, Saturation, Value) data format to obtain the chromaticity, saturation and luminance information of pixels of the image, binarizing the image on the basis of the luminance information, and determining the suspected light area in the image; according to the chromaticity value of pixels in the image, determining the corresponding color classification; then determining the color character values of the pixels; according to the color character values of the pixels, determining the area color character values of the traffic lights respectively; then, judging the primary states of the traffic lights, and establishing the respective on-and-off state sample library of the traffic lights and corresponding Gaussian models; finally, judging the states of the traffic lights. The invention further discloses a device for realizing the method. The method and device disclosed by the invention have low requirements for the quality of the image, and can well adapt to complicated scenes.

Disclosed is a system for detecting an attack, which includes a server and a plurality of vehicles capable of wirelessly communicating with each other. Each of the vehicles has a sensor, a sensor information acquisition unit, a traffic information reception unit, and a transmission unit that transmits the sensor information and the traffic information to the server. The server has a reception unit that receives the sensor information and the traffic information from the vehicles, a verification unit that verifies whether the sensor information and the traffic information are inconsistent with each other, and a notification unit that notifies, when the sensor information and the traffic information are inconsistent with each other, the vehicles of the inconsistency.

A system and method for processing traffic data and locally generated data. A traffic signal monitoring device may be associated with a vehicle and configured to receive traffic data from traffic infrastructure devices. The traffic signal monitoring device may additionally or alternatively utilize local data (e.g., speed of the vehicle) to generate alerts to notify a driver of hazardous conditions or to suppress operations (e.g., notifications, menus) of a device to reduce distractions.

The invention discloses a system and a method for fault diagnosis of a traffic signal controller. The method comprises the following steps: a fault detection board is connected with a plurality of voltage and current detection boards; the voltage and current detection boards are used for detecting the voltage and the current information of each path of alternating current output of the traffic signal controller, the fault detection board performs communication with each voltage and current detection board at regular time, searches the voltage and the current information and performs green conflict detection and other fault judgment for the traffic signal controller according to the defined rule in advance; under the unusual circumstance, a master control board of the traffic signal controller is warned, and the concrete fault type is displayed through an indicating lamp of the panel; if a serious fault occurs, the fault detection board provides an alternating current relay output signal to control the output of the traffic signal controller so as to switch the traffic signal controller to a flashing yellow state; and the invention provides the fault diagnosis system and the fault diagnosis method which are independent from the traffic signal controller, can perform real-time monitoring and fault analysis to the running state of the signal controller and fills the gap of the prior art.

The invention belongs to the technical field of digital image processing and pattern recognition and discloses a general Hough transformation-based method for detecting the position of a traffic signal lamp, which comprises the following steps: by taking an image sequence as input, calculating image gradient information by adopting a first-order differential operator on an image by using image gradation; establishing a traffic lamp shape describing function; defining mapping from an image point to the space of an accumulator; and searching the extreme value of the space of the accumulator to acquire the coordinates of the traffic lamp to provide positional information for traffic lamp state identification. The general Hough transformation-based method for detecting the position of the traffic signal lamp can cope with the significant change of illumination, is insensitive to the influence caused by image sampling color cast and can cope with the traffic lamp with various common shapes.

The invention discloses a fault detection device for LED traffic lights. The device is mainly composed of a working condition detection module (7), a signal switching detection module (6), a microcontroller (8) and a communication module (9), wherein the microcontroller (8) can carry out time synchronization with a signal controller of the LED traffic lights (1) through the signal switching detection module (6). The microcontroller extracts and stores correct working condition characteristics of the traffic lights under a learning mode, and carries out fault detection on the traffic lights through the working condition detection module (7) with 1 second as a cycle under a monitoring mode, capable of detecting faults of power-off, power-on, lattice deletion, messy code, color conflict, timing error of a full screen light, an arrow light, and a countdown light as well as state conflict of different traffic phases at a same intersection and the like. The device provided in the invention can send various real-time fault information of the LED traffic lights to a management centre, conductive to timely maintenance and prevention of faults of the whole traffic lights, thereby guaranteeing safe, orderly and smooth traffic.

The invention discloses a self diagnosis method and device for faults of a traffic signal control machine, belonging to the technical field of intelligent traffic control and management. The self diagnosis device comprises a semaphore control main board, a communication module, multiple traffic parameter detection boards, multiple lamp driving boards and an intelligent fault detection and diagnosis board. The intelligent fault detection and diagnosis board comprises a level switching module, a data analysis module, a communication interface and a display interface; and the data analysis module in the intelligent fault detection and diagnosis board can be used for detecting the working conditions of the traffic parameter detection boards, the semaphore control main board and the lamp driving boards in real time, and also can realize phase collision detection at intersections simultaneously. The traffic control semaphore with a self fault diagnosis function provided by the invention can effectively monitor the traffic control semaphore in real time, and is convenient for workers to understand and deal with traffic control conditions in real time.

The invention discloses a hybrid electric vehicle energy conservation predictive control method based on traffic signal lamp information. Real-time road grades and the traffic signal lamp information are acquired from the global positioning system and an intelligent transportation system to serve as system input, and a hybrid electric vehicle mathematic model is established to serve as a reference for predicting further vehicle states; a hybrid electric vehicle energy management optimal control problem is defined, and a functional equation for solving the optimum control quantity is provided; optimum control is fed back in real time to solve the optimum control quantity; under the condition of meeting hybrid electric vehicle storage battery electric quantity balance and rotation speed and torque physical limit restraints, energy flow of a hybrid electric vehicle is adjusted and optimized on line according to practical vehicle driving working conditions, the system optimal performance of the hybrid electric vehicle is obtained, a planetary gear mechanism is used to serve as an electric infinitely variable transmission, an engine is made to constantly work at the best operating point, road traffic information is used for predicting the charge state of a target storage battery, the energy flow of the hybrid electric vehicle is adjusted on line, and therefore the purposes of energy conservation and emission reduction are achieved.