66 results about "Traffic intensity" patented technology

A method and system for traffic monitoring and prediction of traffic intensity. The method comprises the steps of: determining at least twice, within a specified time interval, geographical positions of a plurality of mobile devices in a mobile telecommunications network by means of measuring at least one property of signals transmitted between said mobile devices and base stations in said mobile telecommunications network; comparing at least a subset of said geographical positions with a route of a road provided in a route database in order to identify mobile device having routes corresponding to at least a part of said road route; calculating a velocity for said identified mobile devices based on said at least two positions; and comparing said calculated velocity of at least one identified mobile device with a reference velocity of said road in order to predict traffic intensity on said road. According to the invention a system for short range monitoring is also provided.

The present invention is directed to a system for controlling the quality of service and availability in a communications network. The system includes a processor which samples queue state information from selected intermediate nodes in the network and processes the queue state information to produce a traffic intensity map. The processor includes memory for storing said traffic intensity throughout the network as a traffic intensity surface and is configured to use the traffic intensity surface to control traffic in the network.

The invention simulates the behavior of a network including a set of network elements by introducing into the network a parametered flow intended to simulate a constraint on a network element. The flow can model the variation in time of the traffic intensity in the network in relation to the or each element to which a flow is addressed in the context of the simulation, and can feature a modulation on a macroscopic timescale and stochastic fluctuations on a microscopic scale. The invention further provides on-demand dimensioning of a network by uprating, during the simulation, the levels of performance of elements that have manifested a weakness in relation the flow at the time of the simulation. The field of application targets any type of network: circuit mode or packet mode data, electronic or optical networks, and even networks for transporting material or nonmaterial commodities.

The invention discloses a multi-strategy and multi-object self-adaptation traffic control method. The multi-strategy and multi-object self-adaptation traffic control method is characterized by comprising the following steps that (1), traffic state inspection equipment collects traffic flow data in real time, obtains the traffic state information and sends the traffic state information to an intersection signal machine, and the intersection signal machine uploads the traffic flow data to a signal center control system; (2), the intersection signal machine calculates the traffic intensity of an intersection, judges the traffic states of the intersection and adjusts the control plan of the current intersection in real time according to the different traffic states; (3), according to the intersection traffic flow data uploaded in real time, the signal center control system optimizes the intersection signal control scheme from the global angle of a road network. According to the control method, the road network grade global optimization self-adaptation signal control method is provided through judgment and analysis of the traffic states of the road network, and artery coordination control applicable to any traffic state is achieved.

The invention discloses a crossing traffic jam judging and control method and system based on sensing detectors. The method includes the steps that according detection signals sent by the sensing detectors, a signal light control device calculates the traffic intensity of a crossing every other set statistic cycle, calculates the time occupancy for each sensing detector in a set time period every other set sampling cycle and further determines whether lanes where the sensing detectors are located are in the jam state or not, and if the crossing traffic intensity calculated in the current statistic cycle is judged to exceed a set traffic intensity threshold value and the lanes are in the jam state, the traffic condition of the crossing is judged to be the jam condition of queue overflow and traffic signal lights at the crossing are controlled according to a traffic signal light control scheme corresponding to the jam condition of the queue overflow. According to the method, the crossing jam condition is detected through the small invested cost and the small road jam area, the traffic signal lights at the crossing are controlled, and therefore the traffic circulation of vehicles at the crossing is guaranteed.

A method and apparatus determines an inbound traffic intensity of a visitable site, wherein the inbound traffic intensity factor is representative of a measure of meaningful visits to a visitable site in a given time period. The inbound traffic intensity factor is determined by obtaining visitor information including the number of visits to the visitable site during the given time period as well as the duration of each visit and using both the number visits and the time spent during each visit to quantify the traffic to the site during the time period.

A dynamic road marking system for influencing a flow of traffic has a plurality of road marking units (3, 3′, 3″, . . . ) provided with a light source emitting light in the direction of a driver of a vehicle (6, 6′) traveling over a roadway (10). The road marking unit includes detection apparatus (2) for detecting the intensity of the flow of traffic, and conversion apparatus for converting the detected traffic intensity to a desired traffic intensity with a desired mutual distance between the vehicles (6, 6′) and/or a desired velocity of the vehicles (6, 6′). The road marking system generates a guidance light (1, 1′, . . . ) which seemingly moves along with the flow of traffic by suitably switching on and off the light source in the road marking units (3, 3′, 3″, . . . ). The flow of traffic moves along with the moving guidance light (1, 1′, . . . ). The speed of the guidance light (1, 1′, . . . ) is adapted to the desired mutual distance between the vehicles (6, 6′) and/or to the desired velocity of the vehicles (6, 6′). Preferably, guidance lights (1, 1′, . . . ) are disposed between each of the vehicles. The dynamic road marking system enables higher traffic intensities on roadways and improved traffic safety. In addition, the road marking system including guidance lights (1, 1′, . . . ) facilitates interweaving of vehicles.

The invention provides a channel allocation method in wireless mesh network, which uses the radio frequency protection ratio and district traffic intensity as the channel allocation indicator to realize the co-channel multiplexing in a virtual layered Mesh network structure. The channel allocation scheme performs the channel allocating using the district as unit and an extended set T-coloring coloring module is used. The radio frequency protection ratio is used as the indicator of the channel allocation and the channel is multiplexed when the carrier interference is larger than the radio frequency protection ratio. The district diameter is controlled in district separation way when the district traffic intensity is not uniform. The invention provides a wireless channel allocation method for the virtual layered Mesh network structure, therefore the utilization ratio of the wireless frequency spectrum resource is increased and the wireless interference between the districts is reduced.

A method controls the elevators in an elevator group when destination floor call input is used and the traffic within the elevator group is to be optimized. According to the concept of the method, based on traffic intensity, a cost function is optimized by changing the number of cost criteria from one to several and back and weighting the criteria in different ways in the aforesaid cost function.

Systems and methods for controlling traffic on a communications network include dynamic and flexible control plans that enable service providers to control or influence customer access to communications facilities. Communications facilities are monitored to identify network elements, such as cell sites, that are overloaded. When the traffic intensity on a particular facility exceeds a predetermined level, either active or passive control is imposed on subscribers that are in the geographic area of the facility. Active control involves blocking, delaying or disrupting subscriber calls during the critical time period. Passive control involves providing cost incentives or disincentives during low or peak periods of traffic intensity. Customers are notified of the commencement and/or termination of active or passive control preferably via SMS. When implemented with stationary cellular service, the systems and methods aid in traffic engineering and provide opportunities for customers to reduce the cost and increase the accessibility of telephone service.

A sensor network has a plurality of wireless sensors which transmit to an intermediate receiving device which relays data to a central server. A method is provided for receiving data packets at the intermediate receiving device from a plurality of the transmitting devices. Data packets are sensed on a communication medium at the receiving device and the total traffic intensity of data packets from the transmitting devices is estimated. A detection threshold for data packets is provided and adapted as a function of the total intensity. The receiving device receives data packets with a signal strength above the current detection threshold.

A satisfactory reception environment is secured efficiently regardless of a degree of the traffic intensity. A pilot power control unit is provided to a base station radio unit. The pilot power control unit controls a desired wave power-to-interference wave power ratio of a pilot signal to stay at a preset value. More specifically, upon receipt of a multiplex wave from a multiplexing unit, the pilot power control unit computes a desired wave power-to-interference wave power ratio of a pilot signal. Then, the pilot power control unit transmits a command signal to a coder to change a transmission power value of the pilot signal in an amount corresponding to a difference between the computed desired wave power-to-interference wave power ratio and a set desired wave power-to-interference wave power ratio.

The present invention discloses a Discontinuous Reception (DRX) parameter configuration method for facilitating Automatic Neighbor Relation (ANR) measurement. The method comprises determining a traffic intensity of a User Equipment (UE) by which a DRX-based ANR measurement is to be performed. The method further comprises setting a value for a DRX parameter to be used by the UE to perform the DRX-based ANR measurement, in accordance with the determined traffic intensity of the UE. The method further comprises transmitting the value set for the DRX parameter to the UE. The present invention further provides an associated BS adapted to perform DRX parameter configuration to facilitate ANR measurement.

A methodology for configuring the connection of adapters to bus controllers or other possibly failing components (PFCs) in a logically partitioned environment. The present invention comprises an Adapter Placement Program (APP), two Adapter Threshold Programs (ATPs), three Sequential Ranking Programs (SRPs), and three Weighting Factor Programs (WFPs). The APP determines the criteria the administrator desires to use to place the adapters on the bus controllers or other PFCs and selects the appropriate program to execute the adapter placement. The ATPs classify the adapters as either “hot” or “not hot” based on a traffic intensity threshold and place the adapters to the bus controllers or other PFCs. The SRPs rank the adapters and place the adapters to the bus controllers or other PFCs based on their rank. The WFPs assign weighting factors to the adapters and place the adapters to bus controllers or other PFCs based on the adapters' weighting factors.

The invention discloses an airport plane taxi scheduling and commanding system and method. The system comprises a control commanding module, an information supporting system, an information assessing system and a scheduling decision system. The information supporting system acquires and transmits the data of current airport plane operation to the scheduling decision system; the scheduling decision system makes the plane taxi scheduling plans according to the data and feeds back the plans to the control commanding module; the control commanding module determines and publishes the plane taxi scheduling plans. According to the system and method, the manner of human-computer interaction is adopted, the manner that plane taxi scheduling and commanding are performed through the control commanding module, man-made decisions or airport operation rules in a single manner is replaced with the automatic decision manner combined with the supervision of the control commanding module, the workload of control commanding is reduced, the plane taxi scheduling and commanding can be benefited on the condition of high traffic intensity, and the congestion and flight delays can be relieved.

A method of controlling an elevator installation with several elevators, in which destination call inputs of passengers are input by destination call input apparatus and in which at least one traffic criterion, which characterizes a traffic intensity, of the elevator installation is measured by an elevator control, wherein the elevator control allocates cost-optimizing elevators to the destination call inputs. In order to obtain an energy saving without prejudicing the transport capacity of the elevator installation, the elevator control additionally allocates energy-optimizing elevators to the destination call inputs in dependence on the traffic criterion.

A method etc. for calculating traffic distribution at base stations and accurately and simply calculating the performance in the base stations in a mobile communication system is provided. A method etc. for simply and accurately calculating the blocking probability in a communication system is also provided. A subdivision data holding unit holds data of transmission power Pi and traffic intensity Ai of each subdivision. A propagation associated data holding unit holds data used for calculating received power, such as the height above the ground of antennas of the base stations and mobile stations. A received power calculating unit reads necessary data from the subdivision data holding unit and propagation associated data holding unit, and calculates the received power. A traffic calculating unit calculates the means Sm and variances Sv of the traffic at the base stations from the data calculated by the received power calculating unit. A performance calculating unit calculates the performance such as the blocking probability from the means Sm and variances Sv calculated by the traffic calculating unit and from the threshold value T provided by the threshold value generator, and outputs the results.