98 results about "Traffic dynamics" patented technology

A dynamic upstream bandwidth allocation scheme is disclosed, i.e., limited sharing with traffic prediction (LSTP), to improve the bandwidth efficiency of upstream transmission over PONs. LSTP adopts the PON MAC control messages, and dynamically allocates bandwidth according to the on-line traffic load. The ONU bandwidth requirement includes the already buffered data and a prediction of the incoming data, thus reducing the frame delay and alleviating the data loss. ONUs are served by the OLT in a fixed order in LSTP to facilitate the traffic prediction. Each optical network unit (ONU) classifies its local traffic into three classes with descending priorities: expedited forwarding (EF), assured forwarding (AF), and best effort (BE). Data with higher priority replace data with lower priority when the buffer is full. In order to alleviate uncontrolled delay and unfair drop of the lower priority data, the priority-based scheduling is employed to deliver the buffered data in a particular transmission timeslot. The bandwidth allocation incorporates the service level agreements (SLAs) and the on-line traffic dynamics. The basic limited sharing with traffic prediction (LSTP) scheme is extended to serve the classified network traffic.

The invention discloses a city-level intelligent traffic simulation system. With multi-source heterogeneous data as input, the vehicle queue length of each lane at an intersection can be predicted, the evolution of the vehicle queue length is further dynamically simulated, and the simulation system comprises a data collection module, a multidimensional database, an algorithm module, a traffic state prediction module, a traffic simulation derivation module and an interaction visualization module. In the data collection module, the collected data comprise traffic dynamic data and static data. The multidimensional database is used for receiving various traffic dynamic information in real time and storing road infrastructure configuration information. In the algorithm module, a generated confrontation network is used for data generation and state prediction on the vehicle queue length, and the processing process comprises data feature extraction, data dimension processing, confrontation network generation, and hyperparameter optimization. The vehicle queue length of each lane at the intersection can be predicted, and the evolution of the vehicle queue length is further dynamically simulated.

The invention relates to a city real-time traffic and road condition information issuing method based on a traffic video. The method comprises the following steps of: detecting floating cars in various road sections of a road network, uploading speed information to a background server in real time, and using a traffic video monitoring device to upload traffic dynamic information around all monitoring points to the background server in real time; using the background server to determine a real-time traffic state extraction result according to the sample distribution of the floating cars and the information acquisition state of the traffic video monitoring device, and further dividing traffic and road condition information issuing levels by combining with traffic information; and simultaneously extracting FCD (floating car data) and video road condition information at each issuing level, and issuing to the public based on a video way. According to the method disclosed by the invention, the characteristics of the floating cars and the traffic video monitoring device are fully utilized for complementing each other, thus the accuracy in road traffic state extraction and the information practicality are improved, the video-based city traffic and road condition information issuing is realized, and the maximization of receiving of the traffic information by travelers can be ensured.

The disclosed embodiments relate to prediction of traffic dynamics. A descriptive model is provided that uses historical probe data to create “tidal-like” patterns for the usual dynamics on the road network and creates a framework for taking a future time, e.g. in terms of month, day, time, and suggesting a typical speed for the specified road network link at that specific time. With this model, better predictions for estimated time of arrival will be derived. As opposed to blindly extrapolating from a static model, the disclosed embodiments dynamically adapt to current conditions using real time data to adapt, based on current conditions, the model from which a predicted speed may be determined.

The invention discloses an urban traffic reliability index based on seepage analysis, and an implementation method for the urban traffic reliability index, and the method comprises the following steps: 1, carrying out the preprocessing of urban traffic data information; 2, building a traffic dynamic network based on the urban traffic data information, taking the traffic flow data of each segment in an actual urban traffic system as the basis, and carrying out the empowerment operation of a network; 3, analyzing the seepage attributes of the traffic dynamic network, finding the seepage threshold value of an urban traffic network, and obtaining the urban traffic reliability index based on the above; 4, determining a bottleneck road affecting the reliability of an urban traffic system. The method dynamically gives consideration to the operation efficiency of macroscopic traffic from the network layer of urban traffic, can solve an actual problem of the accurate and complete measurement of the congestion of a traffic network system, achieves the quantification and evaluation of the reliability of the urban traffic network system, and provides a powerful method support for the smooth project and the construction of a smart city.

The invention provides a method for controlling signals in a high-density road network during traffic peak. According to the total of traffic flows in the high-density road network, the method collects basic data about the high-density road network, which includes traffic static data, traffic dynamic data, and decision-making data from a decision maker, wherein, both the traffic static data and the decision-making data from the decision maker are classified as static data which is acquired from a static database of the high-density road network; the traffic dynamic data is classified as dynamic data which is gathered through traffic flow detection equipment; and a signal control scheme characterized by relatively long green light time length and red light time length is generated and applied to all signal intersections within the high-density road network. By controlling the total of the traffic flows within the high-density road network and realizing coordination among the intersections, the invention achieves the effects of improving the circulation efficiency of the traffic flows at all the intersections within the high-density road network during the traffic peak and reducing delays at the intersections for vehicles, thereby realizing efficient operation of the high-density road network.

The invention provides an urban traffic network reliability prediction method based on seepage analysis. The method comprises the following steps that step one: the dynamic network of traffic flow ofhistorical periods is constructed; step two: the seepage threshold of an urban traffic dynamic network is calculated; step three: the anomaly value of the seepage threshold mean of each period is calculated and acts as the basis of distinguishing the level of the urban traffic network reliability of the historical periods; and step four, the evolution law of the congestion subgroups in the high-reliability urban traffic operation state and the low-reliability traffic operation state of the historical periods is compared and the real-time urban traffic network reliability is accordingly predicted. With application of the steps, the evolution characteristics and the evolution mechanism of the traffic network reliability of the historical periods are effectively analyzed, and the high-reliability operation state and the low-reliability operation state of the evolution direction of the real-time urban traffic network reliability can be accordingly predicted so as to provide guidance or early warning for the urban traffic manager; and the method has critical support effect for solving the urban traffic congestion and building the smart city.

A highway network traffic investigation data acquisition and analysis application system is composed of a traffic dynamic information auto-acquisition unit and a monitoring unit, wherein the traffic dynamic information acquisition unit is connected with the monitoring unit in virtue of a data transmission network; the working method is divided into a highway network OD data generation unit, a highway network traffic demand analysis and prediction unit, a highway network traffic distribution and network evaluation unit, a highway network planning unit, a highway project feasibility research and post-evaluation unit and a highway network operation management unit. The highway network traffic investigation data acquisition and analysis application system has the advantages of: (1) real-time, accurate and objective acquisition of highway information; (2) displaying the acquired and analyzed traffic information in image form on GIS; (3) providing maintenance management decision and planning construction decision of highways with basic database and theory support; (4) proving the public with main data basis of travel and induction service; (5) comprehensively acquiring data, and effectively and rationally selecting the data information, thereby providing a scientific and standard traffic investigation report.

The present invention discloses a system and method for evaluating urban road traffic zone servings levels based on actual measurements, belonging to urban road traffic management and control technique field. The technical project is that the system includes a microcomputer type microscopic traffic stream parametric synthesis measuring device, a remote management system, a background analysis software system, a zone traffic status modeling system, a traffic data information platform, and a zone traffic dynamic evaluation system. The method includes mounting the microcomputer type microscopic traffic stream parametric synthesis measuring device at site to collect the field data of coil, microwave and the like, transmitting the data to a data center through a network or communication, then implementing a series of analysis processes to the data to obtain intermediate and macroscopic models and parameters of the zone traffic status, and finally implementing the dynamic evaluation and emulation verification of the zone traffic status to provide safeguards for the harmonization operation of the urban traffic management.

The invention discloses a method for predicting big event traffic dynamic simulation jamming based on vehicle license plate recognition data, and particularly relates to the technical field of intelligent traffic. The method comprises the following steps of adopting simulation software to construct an urban road network model; using the vehicle license plate recognition data to calibrate road section simulation parameters; counting the vehicle license plate recognition data to obtain driving track data of each vehicle; using the vehicle license plate recognition data to count the road sectionflow of every 15 minutes within an assigned time duration; adopting a probabilistic principle component analysis model to complete the interpolation of missing data of all clamping openings and predicting the completed data to obtain the future traffic state; judging whether the standardized root-mean-square error between the history traffic simulation state and the future traffic state is 10% ofa preset threshold value or not. By means of the method for predicting big event traffic dynamic simulation jamming based on the vehicle license plate recognition data, the simulation software is utilized to dynamically allocate the vehicles to obtain the future big event traffic state and output the corresponding big event predicting result. The method has the advantages of having a high automated degree and an accurate predicting result.

Apparatus (110) for configuring network equipment or devices (101a-101n) during runtime is particularly applicable to network equipment based on QorIQ (trade mark) communication platforms for DPAA (Data Path Acceleration Architecture) optimization purposes and provides a way maintaining an optimal configuration which can change over time acccording to real traffic conditions. The invention may be implemented with any kind of adaptation algorithm for targeting different DPAA features. A flow characteristic function is determined from collected traffic statistics for a multiplicity of traffic flows classified by a common property such as protocol or destination or source. Flow properties are characterised over time, past present and future prediction and in relation to other existing flows based on assigned priorities. A computed flow characteristic function represents the basis for all adaptation algorithms which may be implemented in order to optimise the various DPAA features. In contrast with conventional methods which adapt traffic to system constraints, the apparatus of the present invention itself continuously adapts to traffic dynamics in order to maintain an optimal configuration over an extended period of time.

The invention provides vehicle-mounting T-Box based on DSRC and low-altitude satellite communication. The vehicle-mounting T-Box based on DSRC and low-altitude satellite communication comprises a dataacquisition unit and a wireless communication unit which are connected mutually; the data acquisition unit comprises a slave processor as well as a data memory and a CAN communication module which are connected with the slave processor; and the wireless communication unit comprises a master processor as well as a DSRC communication module, a 4G communication module, a low-altitude satellite communication module, a WiFi / BT module, a GPS / Big Dipper positioning module, an RTC real-time clock module, a battery management unit, a memory module, a voice module, a coding and decoding module, a man-machine interaction module and a security chip. Dynamic information real-time interaction and sharing between the vehicle and the vehicle, the vehicle and people as well as the vehicle and a roadside base station are realized by applying a DSRC communication technology. By the whole time-space based traffic dynamic information acquisition and fusion technology, vehicle safety active risk avoiding control and intelligent coordinated management on the road can be realized and development of smart transportation can be promoted well.

A dynamic and static management as well as intelligent monitoring ¿C alarm and control system of traffic is composed of vehicle detection alarm or vehicle detector, front end controller or concentration controller, central computer system and on ¿C site bus transmission media. The system can be used on highway and railway for avoiding overtaking collision accident or can be used as monitoring and control device in city traffic management or can be used in parking area to guide car ¿C parking.

Dynamic rate limiting of background traffic to alleviate congestion in the access network is enabled. ICMP echo round-trip times and ICMP losses to a nearby node outside the local area and just beyond the divergence in end-to-end paths are measured, allowing unambiguous discrimination of nearby from distant congestion points. Using round-trip time samples, either short-run delay or short-run variance in delay can be measured to estimate congestion. When combined with an appropriate control law, background traffic can be rapidly reduced to allow interactive traffic to traverse unhindered through the access network. The described system and methods can be implemented in the application-layer and without any additional support from the network.

An intelligent bus dispatching and management system, including an enterprise management platform server, a communication module, a geographic information monitoring system, a basic data management system, a scheduling management module, a GPS device management module, a communication module, a geographic information monitoring system, and basic data management The system is respectively connected to the server of the enterprise management platform. The dispatch management module generates a departure schedule through the dispatch algorithm and historical experience, plans and dispatches according to the available personnel and vehicles, and then according to the real-time positioning and vehicle speed sent back by the GPS equipment management module and the communication module. , Passenger flow dynamic information and basic static information changes of personnel, vehicles, and lines are dispatched on-site to realize the hierarchical management of dispatch, and use wireless communication methods to realize the transmission of real-time operational information such as vehicle positioning, station entry and exit, etc. to the supervision center, and realize the dispatch of the supervision center The order is passed down, which improves the service level and management level of the public transportation system.

The invention provides a communication traffic prediction method for the distribution line information monitoring service. Aiming at that the existing traffic prediction method gives no consideration to the dynamic arrival characteristic of service communication data flows and causes a problem of great deviation of a traffic prediction value, the method provided by the invention gives full consideration to a dynamic arrival factor of the service data flows, and the method comprises steps: firstly, on the basis of performing traffic parameter estimation of a distribution line information monitoring service through a poisson traffic model, effectively predicting traffic of the distribution line information monitoring service according to a queuing theory model; secondly, training model parameters with original data and performing parameter optimization; and finally, performing communication traffic prediction through a poisson queuing theory traffic model. The method provided by the invention overcomes a problem that the conventional method cannot describe influence of a poisson traffic dynamic influence factor of the service on a prediction result, improves prediction accuracy, and facilitates implementation of reasonable planning and allocation of bandwidth resource of an intelligent distribution and utilization communication network.

The invention relates to a barrier-free parking management dynamic guidance system. The system comprises a parking lot management system, a traffic data management center and parking guidance display terminals, the parking lot management system is located in a parking lot, the traffic data management center is located in a traffic administration department, the parking guidance display terminals are located on various road sections, and the system is a diversified and integral comprehensive management system which is designed for achieving traffic dynamic parking guidance in different areas. According to the system, a network synthesis access technology and transmission control protocol / internet protocol (TCP / IP) are applied, the parking lot management system is integrated in the traffic data management center, real-time interaction of parking resource supply and demand information of different areas is accelerated, according to road network traffic condition at present moment, information integration and analysis application technology and ant colony algorithm are applied so as to obtain the best driving path to arrive at an unfilled parking lot, and parking guidance information is issued to the display terminals by a traffic information issuing platform one time per second. By means of a plate number identification system, limits of picking up ticket, picking up card, swiping card and the like by parking in the past are overcome, when vehicles pass through a passageway identification system, the system recognizes plate numbers of passed vehicles automatically, and 'barrier-free' parking is completely achieved. By means of the system, equivalently 10%-15% of police strength are increased for traffic management, the space-time control capacity of traffic management and handling capacity of road surface traffic accident are effectively enhanced, the traffic management overall level is substantially improved, and the intelligent traffic management capacity, efficiency and level are greatly improved.

The invention discloses a dynamic self-updating network traffic classification method based on a topic model which comprises the following steps of: at an initial moment, initializing a classificationmodel by using a data packet set marked with a protocol category in advance as an initialization data set so as to obtain a classification model at a moment 1; classifying the data packets: classifying the to-be-classified data packets received at the moment t by utilizing a classification model, and outputting protocol types and protocol distribution information of the to-be-classified data packets at the moment t; training and updating the classification model: forming a training set by using the data packet of the known protocol types output at the moment t, and by using the historical protocol distribution information outputted by L, t-1, ..., t-(L-1) as the subject prior distribution, training the classification model at the moment t+1; t=1, 2, 3,. . . , L=1, 2,. . . ,Delta. The method solves the problems of low efficiency, influence on the accuracy of the classification model due to no consideration of unknown type of traffic, reduction of the classification accuracy due to insufficient consideration of network traffic dynamics and the like.

The invention relates to the technical field of image processing and traffic engineering, in particular to a method and device for dynamically acquiring traffic operation state parameters of road vehicles. The method for dynamically acquiring the traffic operation state parameters of the road vehicles comprises the following steps that video data of the vehicles running on roads are dynamically acquired, vehicle outlines in each frame of video images of the video data are extracted, vehicle motion tracks corresponding to the vehicle outlines are determined, first traffic operation state parameters of the vehicles are further determined according to the vehicle motion tracks, and coordinates of the vehicle motion tracks are converted into plane coordinates of the vehicles running on the roads to determine second traffic operation state parameters of the vehicles according to the plane coordinates; and therefore, according to the scheme provided by the method and device for dynamically acquiring the traffic operation state parameters of the road vehicles, the vehicle motion tracks are analyzed through a road traffic image, and various traffic parameters in the vehicle operation stateare obtained through more real-time and accurate means, so that a traffic dynamic simulation model can predict the traffic situation more accurately and in real time according to the parameters, andthe practicability is improved.

The invention discloses an on-site roadbed dynamic response testing method and a system thereof. The method comprises the following steps: a)selecting a road structure with flat physical features and straight route as test road; b)layering and burying a sensor according to inverted L shape arrangement on the cross section at center of test road, horizontally leading a transmission cable connected to the sensor out; c)after construction of the roadbed is completed, selecting a phase in a roadbed end face, a base end face and a surface layer end face; d)connecting a transmission cable interface to a dynamic / static strain acquisition analysis system, connecting a laptop and data acquisition processing software; and e)driving a road roller or a heavy type lorry according to different running states, collecting the roadbed dynamic response and environment change data at different road construction and operation periods. The system is composed of a road structure, a traffic dynamic load system, an information sensing system and a data acquisition system. The system has the advantages of simpleness, convenient enforcement, high efficiency method, and the system and the method can be widely used in roadbed dynamic response test research of stage 1 during road construction and operation periods.

The invention discloses a method which realizes dynamic traffic management through vehicle information identification; a vehicle identification device is arranged at a key point of the road traffic network; the traffic information is transmitted to an urban traffic master control center through a communication network; the information is processed through a computer with a database system. The method is characterized in that the vehicle identification device is a radio-frequency card reader; association rules of detection codes are set; a pair of radio-frequency cards are provided for a licensed vehicle; a pair of associated detection codes are respectively arranged in each radio-frequency card; one of the radio-frequency cards is fixed on the vehicle, while the other radio-frequency card is carried by the driver; the vehicle identification device realizes vehicle information identification by detecting the two radio-frequency cards based on the association rules of the detection codes. The invention ensures the accuracy of vehicle information identification and provides a basis for traffic violation punishment; the invention can easily discover stolen vehicles, various pseudo-license plates and false-registered vehicles to facilitate the management of vehicles.

The invention discloses a road water immersion event emergency dredging flow distribution generation method. The method includes utilizing road net data and water logging data as known quantities, first conducting map matching on the water logging data to acquire water logging points and corresponding depths in road sections, calculating the maximum water logging depth of each road section based on the cask principle, generating basic information for triggering emergency scheme event according to the corresponding water logging depth, then utilizing a road section damage function to calculate the actual traffic capacity of each road section, meanwhile utilizing daily traffic flow data obtained through traffic investigation and clearing as the basic load flow of the current road sections, generating a water immersion road section dredging scheme by conducting flow redistribution on the road sections with the basic flow larger than the actual traffic capacity in the reasonable dredging area and finally outputting the emergency dredging scheme. The method is based on the ideas of traffic dynamic distribution and depth-first search, combines the onsite road net data and generates emergency dredging schemes in different areas under different water immersion depth scenes.

The invention belongs to the technical field of geotechnical and underground engineering, and particularly discloses a traffic dynamic load simulation device and a test method for a geotechnical and underground engineering model test. The method comprises the following steps: firstly, preparing a geotechnical model in a model box, and respectively arranging a loading system, a data acquisition system and a control system so as to complete the construction of a simulation device; secondly, starting the simulation device, and applying load to the geotechnical model in the model box; and collecting load data borne by the geotechnical model through the data acquisition system and the influence of applied load on the geotechnical model. According to the invention, a foundation load loading unitand a dynamic load loading unit are adopted to apply load to the geotechnical model, so that the stress of the geotechnical model can reflect the prototype condition. The loading system disclosed bythe invention realizes the loading of the dynamic load by adopting the PLC to control a reversing valve, has the advantages of wide application range, low cost and strong loading capacity, can be usedfor loading multiple groups simultaneously, and has important significance for the experimental study of geotechnical and underground engineering models under the action of traffic dynamic load.

The invention discloses a traffic monitoring VR camera system and a monitoring method using virtual reality. The system comprises: a plurality of traffic monitoring VR cameras located at different locations of road monitoring for respectively collecting VR videos of the different locations of the road and uploading the VR videos to a server; and the server used for selecting transmitting the dataof a path of VR videos to a VR playing terminal for display according to the path of VR videos selected by the VR playing terminal, wherein the server can check the traffic dynamics within the VR video shooting range and automatically capture license plate information of passing vehicles. The traffic monitoring VR camera system disclosed by the invention can present road images to users (for example, the traffic management department) through the VR technology, and the users can obtain the real experience of the road traffic, which helps the users to analyze road traffic accidents and determine the responsibility.

The invention discloses a non-linear system distortion correction apparatus and method. The apparatus comprises a robustness signal source generator which is used for generating a robustness signal provided to an adaptive device, the adaptive device which is used for collecting a main link signal output by a signal generator and a feedback signal returned by the main link signal via a feedback link and for generating a correction parameter according to the main link signal, a feedback signal and the robustness signal, and a precorrection device which is used for precorrecting the main link signal output by the signal generator according to the correction parameter. By providing the robustness signal, a fact is ensured that under various dynamic configuration conditions, a system cannot cause a problem of unknowable power sudden change or abnormal frequency spectrum output after a practical link signal passes through a predistortion module as the signal feature difference between a former configuration and a later configuration is over large, so that the robustness of the system under dynamic operation conditions is improved, and configuration requirements for various frequency ranges of operators and telephone traffic dynamic change requirements in different areas can be met.