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7378 results about "Traffic flow" patented technology

In mathematics and transportation engineering, traffic flow is the study of interactions between travellers (including pedestrians, cyclists, drivers, and their vehicles) and infrastructure (including highways, signage, and traffic control devices), with the aim of understanding and developing an optimal transport network with efficient movement of traffic and minimal traffic congestion problems.

System and method for optimizing network capacity in a cellular wireless network

A system and method is disclosed for increasing the efficiency of a cellular communication network, reduce ongoing operating costs and increase revenue. According to one aspect, a method is disclosed for increasing the efficiency of a cellular communication network whereby network capacity in the radio access network (RAN) and baseband processing for wireless connections are dynamically adjusted to automatically provision sufficient bandwidth and baseband processing capacity in response to changes in the network. The method is further extended by implementing policy management which allows wireless carriers to develop and implement network based policies to automatically increase or decrease the amount of processing resources and network bandwidth required from any cell site, hub or mobile switching office. According to another aspect, network efficiency is enhanced by utilizing a novel cellular network infrastructure. RF signals from cell site antennas of various technology types are demodulated, digital bit information is extracted from the RF signals, processed, and groomed into Gigabit Ethernet/Resilient Packet Ring (GigE/RPR) or Ethernet over copper traffic flows using specific Quality of Service (QoS) priorities. The GigE/RPR traffic flows are routed to hub sites or mobile switching offices, at which point the packetized information is extracted and converted to RF signals that are equivalent to the signals that were received at the antenna. The RF signals are sent over coaxial cable to a network hub including a pool of Base Transceiver Stations (BTSs) (or Node Bs). The hub is coupled to one or more mobile switching offices via a second fiber optic ring.
Owner:CHAMBERS MAHDI +1

Cross stack rapid transition protocol

A cross stack rapid transition protocol is provided for permitting multiple network devices organized as a stack to rapidly transition their ports in response to network changes so as to minimize traffic flow disruptions while avoiding loops. Each switch in the stack has a stack port that connects the switch to another switch in the stack, and a plurality of ports for connecting the switch to other entities of the computer network. Each switch includes a Spanning Tree Protocol (STP) entity that transitions the ports of the switch among a plurality of states including a forwarding state and a blocking state. Each switch also tracks which other switches are members of the switch stack. The stack port of each switch is transitioned to the forwarding state, and a single switch having connectivity to a root is elected to be a Stack Root. One or more other switches may have Alternate Stack Root Ports, that provide alternate paths to the root. If the current Stack Root loses connectivity to the root, the switch whose Alternate Stack Root Port represents the next best path to the root issues one or more proposal messages to the other members of the switch stack. These other members respond with an Acknowledgement, and the former Stack Root transitions its port to the blocking state. Once the proposing switch receives an Acknowledgment from all other active members of the switch stack, it transitions its Alternate Stack Root Port to the forwarding state so that network messages can be forwarded to and from switch stack.
Owner:CISCO TECH INC

Traffic prediction method based on attention temporal graph convolutional network

The invention belongs to the field of intelligent transportation, and discloses a traffic prediction method based on an attention temporal graph convolutional network. The method includes the following steps that: firstly, an urban road network is modeled as a graph structure, nodes of the graph represent road sections, edges are connection relationships between the road sections, and the time series of each road section is described as attribute characteristics of the nodes; secondly, the temporal and spatial characteristics of the traffic flow are captured by using an attention temporal graph convolutional network model, the temporal variation trend of the traffic flow on urban roads is learned by using gated cycle units to capture the time dependence, and the global temporal variation trend of the traffic flow is learned by using an attention mechanism; and then, the traffic flow state at different times on each road section is obtained by using a fully connected layer; and finally,different evaluation indexes are used to estimate the difference between the real value and the predicted value of the traffic flow on the urban roads and further estimate the prediction ability of the model. Experiments prove that the method provided by the invention can effectively realize tasks of predicting the traffic flow on the urban roads.
Owner:CENT SOUTH UNIV

An unmanned vehicle test and verification platform and a test method thereof

ActiveCN106153352AGood for road testingNo experimental riskVehicle testingDetection of traffic movementVirtual vehicleEngineering
The invention belongs to an unmanned vehicle test and verification platform and a test method thereof in the field of unmanned vehicles. The platform comprises a driving simulation system, an experimental field, a network system, an upper level management center and an unmanned vehicle. The driving simulation system constructs a driving environment of a virtual vehicle according to the information collected in a natural scene; the traffic scene of the actual site of the experimental field coincides with the scene modeled by the driving simulation system; and the upper level management center is used for establishing a simulator driving environment, controlling the driving simulation system and processing data; the unmanned vehicle is a test vehicle and is automatically driven in the experimental field; and the driving information of the unmanned vehicle is transmitted to the upper level management center through a network system and then transmitted to the driving simulator of the driving simulation system. According to the invention, function verification and performance evaluation of the unmanned vehicle can be studied, and meanwhile, influences by the unmanned vehicle on an actual traffic flow can be studied and evaluated through the platform.
Owner:上海泽尔汽车科技有限公司
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