165 results about "Road traffic management" 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.

A method for detecting and tracking vehicle based on video camera and computer system includes obtaining preliminary edge object region by carrying out global domain value division on obtained difference image of background edge and front ground edge then carrying out interclass variance domain value division on intensified difference image to obtain preliminary object region, forming object region based on integration, carrying out expansion calculation and corrosion calculation on object region to pick up object character, carrying out object identification then locking and tracking object in real time to form object trace.

The invention discloses a multi-time scale forecasting method for a road traffic running situation. Highway traffic parameters in different time scales are analyzed according to the running time-space characteristics of highway traffic flow; the highway road traffic running situations in different time scales are forecast by an exponential smoothing algorithm, a weighted average algorithm and a Kalman filtering method respectively; a highway road traffic running situation evaluation index system and a multi-time scale highway traffic flow running situation forecasting technology are constructed to implement the conversion from experience guide to science guide for the highway running management and the preliminary conversion from passive management to active management. Therefore, the running efficiency of a road traffic running situation forecasting system can be increased effectively, the running cost of the system is reduced, the coordination degree between road traffic guidance and management can be improved obviously, and an optimal policy is provided for improving a traffic management and control measure and planning a travel plan for a road traffic manager and a user to a large extent.

The invention relates to the field of road traffic management, and provides an automatic retractable equipment for traffic cones, which mainly comprises a suspension device and a retractable device, wherein the suspension device comprises a first fixed rod and a second fixed rod, wherein a supporting rod is fixed on the second fixed rod, and the retractable device comprises a base, a first rotating shaft, a second rotating shaft, a sprocket, a drive sprocket, a chain, a motor, a sprocket cover, a sliding board, shaft seats, rolling pull rods, a retaining arm structure and a positioning device; one end of the base is obliquely hung on the first fixed rod, and the bottom of the first fixed rod is fixedly connected with the supporting rod; the first rotating shaft and the second rotating shaft are erected at the two ends of the base through the shaft seats, and the two ends of the first rotating shaft and the second rotating shaft are respectively provided with sprockets; the sprockets arranged at the same end are connected by a chain, and the plurality of rolling pull rods are arranged between the two chains in parallel; and the sliding board is connected with the sprocket cover through hinges. The equipment has the function of automatically retracting the traffic cones, simple structure, convenient operation and high performance-price ratio.

The invention belongs to the technical field of road traffic safety, and in particular relates to a road traffic safety pre-warning method for an expressway. The method comprises the following steps: performing safety pre-warning to vehicles which operate on a section subjected to unfavorable factors or vehicles which are about to drive into the affected section and providing a reasonable safe driving vehicle speed or vehicle distance according to real-time traffic data acquired by multi-source traffic data detectors such as an expressway traffic weather detector and a traffic flow parameter inductor; meanwhile, judging whether jam exists or not according to the detected traffic flow and density; and coordinating density among the sections and the flow of passageway ramps in multiple constraint conditions to ensure uniform density of the sections. Therefore, the operating safety of road traffic is effectively enhanced, the road traffic guidance and management coordination degree can be remarkably enhanced, and a scientific and reasonable pre-warning management decision for a road traffic manager and the optimal safety guarantee for a user are provided to the maximum extent.

The invention discloses an on-line recognition method of the road traffic congestion state, relating to a traffic information processing method which comprises the following steps of: acquiring interval traffic parameter data and location traffic parameter data; transmitting the data back to an information processor; analyzing the traffic parameter data through the information processor by adopting the on-line recognition method; and determining the congestion conditions, the congestion time and the spatial diffusion range of each road section by using the acquired interval traffic parameter and the location traffic parameter for serving other subsystems of a traffic management and control system. The invention provides real-time and reliable traffic state information for the traffic management and control system of the road as well as an important information base for the science of the traffic management decision and the traffic travel decision.

The invention relates to an unmanned plane detection system for road segment congestion alarming. The detection system comprises a wireless communication interface, an aerial camera, an image processing device and a digital signal processor. The wireless communication interface is used for receiving Big Dipper locating data of a target road segment and receiving road segment congestion alarm signals. The Big Dipper locating data of the target road segment are used for driving an unmanned plane to fly to the position over the target road segment. The aerial camera is used for shooting road segment images of the target road segment. The image processing device is connected with the aerial camera so as to process the road segment images. The digital signal processor is connected with the image processing device so as to determine whether to send out a congestion alarm signal according to an image processing result of the image processing device. The unmanned plane detection system can provide traffic congestion conditions of the target road segment in time and send out appropriate alarm information to a road traffic management department at congestion time.

The invention provides an urban traffic intelligent control system networked and joint control framework. The framework is divided into a system access level, a resource sharing level, an application service level and other levels as well as a data transmission module, a system management module and other modules. The invention also provides an implementation method of the urban traffic intelligent control system networked and joint control framework. With the urban traffic intelligent control system networked and joint control framework and the implementation method thereof adopted, the realization of the networked and joint control of intelligent control systems can be assisted for each city; the associated sharing of traffic information resources can be promoted; the coordinated control of various systems can be realized; the effects of an intelligent transportation system can be exerted to the greatest extent; and the efficiency and service level of road traffic management can be improved.

The invention provides an intelligent traffic management system and method based on cloud computing. The system comprises a plurality of image acquisition units, a cloud computing server and traffic lights, each image acquisition unit comprises a camera, an image analysis module and a data storage module, the camera is used for shooting an image at a crossing, the image analysis module is used for recognizing vehicles in the image and counting the vehicles to obtain traffic flow data, the data storage module stores image data and the traffic flow data and uploads the traffic flow data to the cloud computing server, and the cloud computing server sets the traffic lights according to the traffic flow data. The method includes following steps: obtaining the traffic flow data of each crossing and uploading the data to the cloud computing server; setting a reference passing time T; and adjusting and setting the passing time of each crossing. According to the system and the method, real-time onsite images are acquired and statistics of the traffic flow data is performed so that the time of the traffic lights and information notification of vehicle GPSs are set, the road traffic management efficiency is improved, and the problem of road congestion is solved.

The invention relates to a high speed variable speed limit control method based on adverse weather conditions. According to real-time change of weather conditions, speed limit values under various weather conditions are automatically adjusted, and speed limit information is issued to a driver by virtue of a variable message sign, thus traffic accident probability is reduced and road traffic safety is improved. In the high speed variable speed-limit control method provided by the invention, real-time weather characteristic parameters are acquired by utilizing meteorological environment testing equipment, speed limit value of a road is automatically adjusted according to various weather conditions, and the defect that the traditional speed limit value of the road is constant can be overcome. The high speed variable speed limit control method has practical engineering application value in the aspects of high speed road traffic management and control according to the adverse weather conditions.

The invention relates to a road segment traffic index estimation system based on unmanned aerial vehicle measurement. The estimation system is arranged on an unmanned aerial vehicle and comprises an aerial camera, an image processor, a pressure altitude sensor and a main controller, the aerial camera is connected with the image processor, shot road segment images are sent to the image processor to be processed, the main controller is respectively connected with the image processor and the pressure altitude sensor, and a road segment traffic index is estimated according to the image processing result of the image processor and the altitude, detected by the pressure altitude sensor, of the unmanned aerial vehicle. By means of the road segment traffic index estimation system, traffic crowdedness information of key road segments can be provided for road traffic management departments, data are more visual and more accurate, and the road traffic management departments can conveniently develop accurate and effective traffic processing measures.

A traffic management system (31) is described that combines wireless tracking of motorists (32) with scheduling of time slots for travel on roadways (33) during peak hours. Rewards are given to motorists (32) who travel during allotted time slots thus improving the effectiveness of the system over time. Motorists are tracked using their cellular device to check if a reward can be given or not, based on travel undertaken in the allotted time slot.

The invention discloses a method and system for realizing human-vehicle information correlation. The method comprises the following steps: obtaining vehicle driving information data, obtaining mobile information data of an electronic device corresponding to personnel, and establishing a correlation relation between the vehicle driving information data and the mobile information data of the electronic device; finding out a vehicle and the electronic device having the same track at the same moment according to the vehicle driving information data, the mobile information data of the electronic device and the correlation relation between the vehicle driving information data and the mobile information data of the electronic device; and establishing the correlation relation between the found vehicle and the personnel corresponding to the electronic device. According to the technical scheme, the track of the vehicle and the track of the electronic device are analyzed to associate the vehicle with the personnel in the vehicle, the match of the human-vehicle relation is realized from two dimensions of time and space, so that reliable and effective human-vehicle correlation information is provided for road traffic management, and meanwhile important technical support is provided for combating crimes and finding personnel, etc.

The invention discloses a road traffic management decision support device. The device comprises a plurality of acquisition units, an analysis and decision unit and a road control unit, wherein, the acquisition units are arranged on different roads and are used for acquiring vehicle running information of the roads; the analysis and decision unit calculates and makes the road decisions according to the vehicle running information of the roads acquired by the acquisition units; the road control unit controls the vehicle running condition of the roads according to the road decisions made by the analysis and decision unit; and the acquisition units, the analysis and decision unit and the road control unit are sequentially and electrically connected together. The road traffic management decision support device provided by the invention has the beneficial effects of analyzing traffic stream status on the basis of monitoring the road running state in real time so as to find out a potential traffic incident and start an emergency plan immediately, and reasonably inducing the traffic stream on a highway to keep away from each other through ramps and other routes, thus minimizing accidents, reducing vehicle delay and improving running efficiency.

This invention belongs to car digital monitor management technique field and relates to one real time monitor network management system, which comprises car drive automatic recorder; wireless radio frequency label fixed on road, city road speed limit label; digital information reader to receive car super speed, weary driving by the road side; portable mobile information terminal to receive car information by police person; monitor computer system to realize information interacting transmission and process together with digital information reader and portable mobile information terminal.

The invention discloses a method for rapidly and accurately forecasting the travel time of vehicles for passing through road sections, and belongs to the field of intelligent transportation. The method includes the steps of (1) obtaining information of all pass stations and history vehicle information in a time period, (2) obtaining vehicle caching of the starting point pass station A, (3) judging whether forecasting of the travel time of the vehicles for traveling from the pass station A to the pass station Bi adjacent to the pass station A is completed or not, (4) conducting finding on a vehicle record with the pass station A as a starting point and the pass station Bi as a terminal point in a license number matching mode, (5) calculating the travel time of the vehicles for traveling from the starting point pass station A to the terminal point pass station Bi in the current time period and the prior time period, (6) forecasting the travel time of the vehicles in the next time period with a Kalman algorithm, (7) calculating a jamming coefficient, and (8) completing the method for detecting and forecasting the travel time. By means of the method, the travel time of the vehicles for passing through the adjacent pass station road sections can be rapidly and accurately forecasted, and the method is suitable for intelligent transportation systems, traffic pass systems, road traffic management systems, traveler information systems and traffic flow information detection systems.

The invention is related to vehicle monitoring and management technology, involving a specific digital intelligent real-time monitoring network management system for vehicle passenger overloading. The system's components are automatic records device installed in cars to record the number of passengers; digital information reader / writer installed in the side of the road to receive or transfer the passenger information data; portable mobile information terminals carried by police to receive or transfer the passenger information data; the control computer system that communicates with digital information reader / writer and portable mobile information terminals of interactive to transmit and process information. The system can improve the efficiency and ability of traffic management apartment to avoid oversights and errors in the management to prevent serious overloading of vehicles on the road, improving the level of road traffic management and urban image.

The invention discloses a method and a device for warning dangerous driving behaviors, and belongs to the technical field of vehicle networking. The method comprises the following steps of: receiving current driving data of a vehicle transmitted by a vehicular terminal of the vehicle, including driving behavior of the driver and vehicle state data of the vehicle; determining whether the driver of the vehicle has a dangerous driving behavior or not according to the current driving data; searching the historical driving behavior of the driver from a database according to the vehicle mark of the vehicle if the driver has a dangerous driving behavior; determining whether a reporting message is transmitted to third-part equipment corresponding to the road traffic management department or not according to the current driving data and the historical driving behavior if the historical driving behavior of the driver is searched; and transmitting the reporting message to the third-party equipment if the reporting message is determined to be transmitted to the third-party equipment corresponding to the road traffic management department. The method and device can be used for improving the warning reliability.

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.

The invention provides a non-contact sensor for judging the pavement weather condition by measuring the energy of the pavement diffuse reflection light. The sensor can effectively distinguish the dryness, ponding and icing of the pavement. The non-contact pavement weather condition sensor mainly comprises a laser, a data acquisition and analysis system and an arc guide rail positioned on the pavement to be measured, wherein a beam expander and a photoelectric detector are mounted on the arc guide rail; the light emitted by the laser irradiates the pavement to be measured through the beam expander; the photoelectric detector receives the energy of the pavement diffusion reflection light, converts the light signal into an electric signal and delivers into the data acquisition and analysis system; and the beam expander can move along the arc guide rail, or the beam expander and the photoelectric detector are relatively fixed and can move together along the arc guide rail. The non-contact pavement weather condition sensor provided by the invention is simple in structure, low in cost, comprehensive in function and reliable in performance and can be applied to the measurement of various highway pavement weather conditions to provide basis for the decision of the road traffic management department.

The invention discloses a method for testing safety performance of an unsignalized intersection by utilizing equivalent traffic conflict, belonging to the field of managing road traffic. The method comprises the following steps of: firstly determining a generation type of traffic conflict of unsignalized intersection, namely intersection conflict, merging conflict and diverging conflict; and guiding different types of traffic conflict probability distribution and expected traffic conflict severity degree, obtaining practical hour conflict amount of an intersection by utilizing a VEVID (Vehicle Video Capture Data Collector) video processing software, constructing an equivalent traffic conflict amount of the intersection based on the obtained practical hour conflict amount as an index for testing the safety of the unsignalized intersection, and finally obtaining the tested grade of the safety of the unsignalized intersection through statistic analysis. According to the method for testing the safety performance of the unsignalized intersection by utilizing the equivalent traffic conflict, disclosed by the invention, time period of test can be favorably shortened, the efficiency and the precision of the test are improved, the degree of automation is high, no influence of personal factors exists, the reliability of the test is high, a large amount of data samples can be objectively and quickly obtained, and reliable data base is provided for probability statistic analysis.

The invention relates to the technical fields of road traffic management and vehicle road cooperation, and discloses a roadside intelligent networking information interaction edge device. The roadsideintelligent networking information interaction edge device comprises a data convergence interface unit and a data processing unit, wherein the data convergence interface unit is used for acquiring feature data sent by a plurality of roadside intelligent networking systems accessed to the multi-element information interaction edge device; the data processing unit is used for processing the featuredata through an edge calculation model, and transmitting the processing result back to the corresponding roadside intelligent networking systems and / or a cloud side; and the multiple roadside intelligent networking systems interact through the edge calculation model. The road side intelligent networking information interaction edge device can timely process and respond to data generated by the intersection data interaction process, so that the traffic transportation can be safely and reliably operated.

The invention belongs to the technical fields of RFIDs (radio frequency identification devices), road traffic management and physical distribution management, and specifically relates to a technical method for the safety guarantee of a digital certificate based on an RFID technology. The method comprehensively uses RFID-curable IDs (identities), EPCs (electronic product codes) and other serial numbers as well as data encryption and digital signature algorithms, thereby guaranteeing the used RFID to be unique. The method can be used for various types of RFIDs which support read-write operation and can store user data, including active or passive RFIDs, HF (high frequency) or UHF (ultra high frequency) RFIDs and the like. The invention can enable the RFIDs used in the fields of road traffic management, physical distribution management and the like to have the capabilities of counterfeit prevention, reduplication prevention, falsification prevention, disavowal prevention and the like.

The method discloses a safety warning method for road traffic, relating to the road traffic safety warning method in the road traffic control field, in particular to a method for sending safe warnings to drivers running on road sections with special risks. The invention content is as follows: when a driver runs on the road section where the driver must be concentrated and drive carefully, the car-mounted warning equipment continuous sends out warnings, and the driver needs to slow down to clear the warnings. By the proper slow-down action done by the driver, the safety consciousness, the mind and the speed can be adjusted by the driver, so that the aim of reducing car accidents is achieved, and the present situation that the safety warning signs on roads produce little effect is improved. The method is easy in application, and also in integration into vehicle-mounted terminals or theft protectors such as GIS, GPS and GPRS, etc.

The invention relates to a short-term traffic flow prediction method based on space-time characteristic analysis. The method is applied to road traffic control, is a core part of an intelligent transportation system and mainly relates to three core technology parts, that is, traffic flow collection and pretreatment, data sample optimization and traffic flow prediction. The traffic flow collectionand pretreatment technology provides historical experimental data, stores prediction data and exports real-time comparison data; the data sample optimization technology obtains high-quality training set samples by carrying out processing through an OPTICS clustering method and based on traffic flow space-time correlation properties; and the traffic flow prediction technology constructs a short-term traffic flow prediction mode with a SVM being a carrier based on the training samples, optimizes key parameters therein through a BFOA algorithm to improve model performance, and realizes real-timeand accurate traffic flow prediction, thereby facilitating a road traffic management system to allocate and utilize road resources effectively, relieving traffic jam, improving operating efficiency and facilitating trip of residents.

The invention belongs to the electronic technology and computer software technology fields, and can realize whole course real-time management of running vehicles and drivers on road, non-stopping management for non-illegal vehicles and drivers, traffic management and low transportation energy consumption. A 'vehicle and driver management recorder' continuously transmits 'relative information on vehicles and drivers' to a server for data processing, thereby realizing information interaction between a manager and the managed. Policemen visually identify illegal vehicles and dynamically tracking and positioning the illegal vehicles to eliminate illegal states. Servers are connected with each other according to county or city, so as to realize management for countrywide vehicles and drivers, such as supervision and control over breaking into forbidden zone, overspeed, fatigue driving, overload, relative information on vehicles and drivers, etc., and to realize inquiring and statistic functions, contributing to punishment on the spot and alarming, changing contact way, grasping road condition and being aware of self legal status, etc.

The invention discloses a passive ultra-high frequency radio frequency identification (RFID) electronic tag chip special for a vehicle and a control method. The tag chip mainly comprises a radio frequency front end, an analogue front end, a protocol processing module, a security module, a control module and a storage unit. By the control method for the tag chip, standard control, common security control and senior security control performed by the electronic tag chip is realized according to the working mode of the security mode. In the tag chip and the method, the security module integrated on the chip is utilized to ensure the communication security between the chip and a reader-writer and the security of the data stored in a chip memory; and through large-capacity memory and memory management mechanism, the capacity of providing field direct service orientating a plurality of users is realized. The chip can serve as a unique identity identification of the vehicle, and can be applied in the field of roadway traffic management.

The invention discloses an expressway variable speed limit control method based on vehicle and road cooperation. According to the method, the limit value of an expressway is adjusted in real time through cooperative control of a vehicle and road side information board and a control center so that the road traffic accident rate can be reduced and road traffic safety can be enhanced. The method comprises the following steps that vehicle speed and position information is detected, variable speed limit control is started, variable speed limit information is released and vehicle speed is controlled. The method is easy to design and easy to calculate. The defects of existing variable speed limit control can be overcome through vehicle and road cooperative control so that the road traffic accidents can be reduced, and traffic safety of the expressway can be effectively enhanced. The variable speed limit control method based on vehicle and road cooperation has quite practical engineering application value in the aspect of expressway traffic management and control.

The invention is applicable to the technical field of computer applications, and provides a method for predicting the road traffic, a server and a computer readable storage medium. The method comprises the following steps: obtaining road traffic data of a to-be-measured road section sent by a road monitoring device and travel data sent by a terminal in the vehicle on the to-be-measured road section; calculating the congestion coefficient of the to-be-measured road section according to the road traffic data, the travel data and a preset road information of the to-be-measured road section; and determining whether the to-be-measured road section is a congested road section or not according to the congestion coefficient and a preset congestion threshold value. According to the method for predicting the road traffic, the server and the computer readable storage medium, the road traffic data of the to-be-measured road section sent by the road monitoring device and the travel data sent by theterminal in the vehicle are simultaneously obtained, and calculation is performed to obtain a congestion coefficient according to the road traffic data and the travel data, so as to judge whether thecurrent road section is congested or not according to the congestion coefficient, thereby improving the accuracy and the completeness of a road congestion judgment, and providing a good data foundation for the following road traffic management and control.

The invention relates to a system for recognizing a vehicle crossing a full line and changing lanes at a traffic intersection. The system comprises a mobile hard disk, an AT89C51 single chip microcomputer, image recognition equipment and high-definition camera equipment, wherein full line image features of the traffic intersection are prestored in the mobile hard disk; the high-definition camera equipment collects images of the traffic intersection to acquire two intersection images at an interval of preset time; the image recognition equipment is connected with the high-definition camera equipment and the mobile hard disk respectively; the two intersection images are processed based on the full line image features respectively; the AT89C51 single chip microcomputer is connected with the image recognition equipment; whether the vehicle crossing the full line and changing the lanes exists at the traffic intersection is determined based on an image processing result. The violation behavior of full line crossing and lane changing of the vehicle at the traffic intersection can be effectively detected, and important reference data are provided for law enforcement of a road traffic control department.