Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

579 results about "Traffic characteristic" patented technology

4. Traffic characteristics. Accidents occur when traffic moves, thus it is natural to investigate traffic characteristics to understand their impact on accidents. Traffic characteristics can often be classified as speed, density, flow, and congestion.

Traffic control method and system based on intersection group

The invention relates to a traffic control method and system based on an intersection group.The method comprises the steps that 1, 360-degree panoramic video of intersections is dynamically collected in real time through an intelligent robot, an intersection operation model is established according to video data, and traffic characteristics of the intersection group are analyzed according to the intersection operation model; 2, intersection index evaluation and online simulation analysis are conducted according to the traffic characteristics, and the traffic operation state of the intersection group is identified; 3, supersaturation state intersection signal timing control scheme optimization is conducted on critical paths of a supersaturation state intersection group, and a supersaturation state intersection group traffic signal control strategy is adjusted; 4, the adjusted intersection group traffic signal control strategy is operated, and steady-state operation of an intersection control signal timing optimization scheme and linkage command of the intelligent robot are achieved.By means of the traffic control method and system based on the intersection group, traffic efficiency and service level of intersection single point control can be improved, and therefore the operation efficiency of an urban traffic system is greatly improved, and urban traffic jams are relieved.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Method of detecting anomalies suspected of attack, based on time series statistics

Disclosed is a method of detecting anomalies suspected of an attack based on time series statistics according to the present invention. The method of detecting anomalies suspected of an attack according to the present invention includes the steps of: collecting log data and traffic data in real-time and extracting at least one piece of preset traffic feature information from the collected log data and traffic data; and training through a time series analysis-based normal traffic training model using the extracted traffic feature information, and detecting abnormal network traffic according to a result of the training.
Owner:KOREA INTERNET & SECURITY AGENCY

Controlling traffic congestion

ActiveUS20050157723A1Prevent excessive traffic transferMaintaining stable and smooth traffic processingData switching by path configurationTraffic characteristicTraffic capacity
An apparatus for controlling traffic congestion includes: a transmitting processor including a packet classifying unit adapted to classify packets to be processed in a receiving processor and packets to be forwarded via the transmitting processor, the transmitting processor and the receiving processor having different traffic processing speeds; a buffer adapted to store the packets to be forwarded from the packet classifying unit to the receiving processor; and the receiving processor including a token driver adapted to output the packets stored in the buffer in accordance with a token bucket algorithm in response to an interrupt signal of the transmitting processor and to transmit the packets to a corresponding application, and a monitoring unit adapted to analyze and monitor a resource occupancy rate and a traffic characteristic used by the token driver to set an amount of tokens.
Owner:HUAWEI TECH CO LTD

Network management for replication of data stored in a data storage environment

This invention is a system and method for network management for data transfer which may include replication in a data storage environment. It is useful for managing network allocation of resources (e.g., bandwidth) needed for such replication of data in a data storage environment. The invention is particularly useful with a network using an internet protocol environment and allows for management of bandwidth needed for a replication process. The method includes the steps of requesting from a server for services on an internet network, a bandwidth for data transfer over the internet. The data is transferred in response to a bandwidth allocation from the server based on the request. The network traffic characteristics (e.g. packet loss or latency, and session time outs) are monitored during the data transfer. If the process lags behind more bandwidth is allocated.
Owner:EMC IP HLDG CO LLC

Access network device for managing queue corresponding to real time multimedia traffic characteristics and method thereof

A queue management method of an access network device includes receiving a packet, determining feasibility of a packet transmission within a delivery deadline allowed from a destination if the received packet is for real-time transmission, storing the packet in the transmission queue and transmitting the packet in sequential order of the storage when the packet transmission within the delivery deadline is feasible, and dropping the packet instead of storing the packet in the transmission queue when the packet transmission is determined infeasible. Accordingly, resources required for the packet transmission are saved.
Owner:SAMSUNG ELECTRONICS CO LTD

Intersection traffic flow characteristic analysis and vehicle moving prediction method based on trajectory data

The invention discloses an intersection traffic flow characteristic analysis and vehicle moving prediction method based on trajectory data, and belongs to the technical field of intelligent traffic system and traffic flow parameter acquisition. The method starts with space transient analysis of a vehicle original trajectory, and describes and analyzes trajectory local geometrical characteristics at different angles, forms a multilevel spectral clustering processing framework based on a vehicle original rough movement track, and automatically extracts and analyzes a plurality of traffic direction modes of an intersection included in the trajectory data. With the basis, the method can acquire intersection sub-phase (signal control intersection) traffic flow and travel time of vehicles in all directions passing through the intersection, and other detailed traffic characteristic parameters, as important complement of conventional traffic data. Through tracking travelling tracks of all moving vehicles at present moment, a traffic direction trajectory mode matching method is used to predict the next behavior of the vehicles, thereby being beneficial for warning safety risks which may exist on an intersection in real time.
Owner:中天思创信息技术(广东)有限公司

Express way traffic state prediction method taking spatial-temporal correlation into account at different times

ActiveCN105702029AOvercome single predictor variableOvercoming less consideration of the spatio-temporal correlation of traffic flowDetection of traffic movementTraffic characteristicState prediction
The present invention discloses an express way traffic state prediction method taking spatial-temporal correlation into account at different times. The method comprises: firstly, performing analysis period dynamic division of flow, speed and time sequences through adoption of a sequential cluster, and dividing the whole day into analysis periods with different traffic characteristics without disturbing traffic parameter time sequences; and selecting multivariable vector autoregression models aiming at different periods, comprehensively considering the spatial-temporal correlation of the upstream and downstream traffic flows, and predicting the flow or the speed of target places. The dynamic period division of the express way traffic state prediction method taking spatial-temporal correlation into account at different times provides a cheap, easy and substantially improved efficiency basic method for express way traffic state short-time prediction; and compared with a traditional method without considering the upstream and downstream traffic flow influence, the express way traffic state prediction method taking spatial-temporal correlation into account at different times considers the vector autoregression model of the spatial-temporal correlation after the periods are divided, so that the prediction results are obviously improved in precision.
Owner:BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products