164 results about "Traffic allocation" patented technology

A communications apparatus is provided. A first radio module provides a first wireless communications service and communicates with a first communications device in compliance with a first protocol. A second radio module provides a second wireless communications service and communicates with a second communications device in compliance with a second protocol. A Co-Located Coexistence radio manager detects activities of the first radio modules, obtains a first traffic pattern describing downlink and/or uplink traffic allocations of the first radio module from the first radio module, and generates a second traffic pattern of the second radio module according to the first traffic pattern to coordinate operations of the first and second radio modules. The second traffic pattern describes recommended downlink and/or uplink traffic allocations to a plurality of sub-frames for the second radio module, and each sub-frame defined by the second protocol includes Orthogonal Frequency Division Multiplexing symbols.

Disclosed are a mobile terminal and mobile communication system capable of changing downlink traffic and a method for transmitting data in a mobile communication network using the same. When at least one predetermined requirement for an additional downlink traffic allocation request is met, the additional downlink traffic allocation request is sent from a mobile terminal (MT) to a base station (BS). The BS, receiving the additional downlink traffic allocation request, determines whether or not additional downlink traffic allocation is possible. If the additional downlink traffic allocation is determined to be possible, the BS allocates the additional downlink traffic to the MT and transmits a downlink signal using downlink traffic including the additionally allocated downlink traffic.

A method and apparatus (system) for providing forward-link channel-frequency allocation for multiple-satellite cellular communications networks is disclosed. The system has a centralized ground-operations control center that provides bi-weekly minute-by-minute allocation plans for geographically-defined service areas. This enables each service area to set its diversity policy in accordance with the requirements of the government regulators and customer preferences within the service area. The system has a user model having a frequency re-use pattern, a channel allocation model for modelling the power allocated to each channel, and a gateway channel model for allocating channels in accordance with the user model and the channel allocation model. The allocation is made for each satellite of the plurality of satellites. The traffic allocation induces an operating frequency for each of the one or more links in each satellite of the plurality of satellites. The satellite communication system computed frequency allocation is optimized to minimize total radiation from all forward links for one or more of the plurality of satellites.

Methods and apparatus are described for assigning data units to a plurality of groups. A key is generated for each of the data units such that the keys corresponding to associated ones of the data units are identical. An initial hash value is generated for each of the keys. A number of techniques are described for then deterministically scrambling the initial hash values such that small bit changes in the keys will typically produce stochastically large changes in the final hash values. The data units are mapped to specific ones of the groups with reference to the scrambled hash values.

The invention discloses a model method of a traffic prediction. The method comprises the following steps of: (1) establishing a road traffic basic facility geographical information database, storing and updating traffic planning schemes, and establishing intersection delay determination; (2) establishing an urban planning construction geographical information database, storing regulatory detailed plans of each area, and utilizing an original unit method to construct traffic generation cases; (3) calling data of the road traffic basic facility geographical information database and the urban planning construction geographical information database, and utilizing a gravity model method to predict parallel distributed matrixes; (4) constructing a multi-element logit model, and determining the probability distribution for a single person selecting a travelling mode in specific travelling information; and (5) utilizing a capacity-limited multi-path distribution method to carry out traffic distribution. The modeling purpose, method to realization are overall planed, modeling parameter selection, basic data sources and calculation program design are coordinated, and the convenient application and operation of a traffic prediction model system are ensured.

A mobile communications device is provided. A first radio module communicates with a communications device in compliance with a first protocol. A second radio module communicates with a base station in compliance with a second protocol. A CLC radio manager receives a traffic pattern from the first radio module indicating a first traffic allocation for the first radio module, obtains timing information of the base station, obtains a native reference clock from a clock source, converts values of the traffic pattern into the native reference clock counts, aligns the converted traffic pattern with the timing information of the base station, generates one or more CLC bitmaps for the first radio module by converting the aligned traffic pattern into a plurality of WiMAX frames or sub-frames of the timing information, and transmits the generated CLC bitmaps to the base station to recommend a second traffic allocation of the frames or sub-frames.

The invention relates to a method and an apparatus for flow distribution in a flow experiment, a computer device and a readable storage medium. The method comprises the following steps: user identifiers and user attributes corresponding to user flows are obtained; according to the hashing algorithm of each traffic layer in the traffic experiment, the hashing operation is carried out on the user identification, and the corresponding hashing value of the user traffic is obtained, the hash algorithm of any two traffic layers conforming to the orthogonal principle; according to the hash value andthe user attribute, the experiment content that the user traffic matches in each traffic layer is determined; and assigning user traffic to matched lab content. By considering user attributes in traffic allocation and using user attributes to allocate user traffic, more dimensional and more refined experiments can be supported. The user traffic matches the corresponding experimental content according to their own user attributes, and the personalized demand experiment for different users can be realized.

The invention relates to a layout optimization method for urban public bicycle rental stations. The method comprises the following steps of: firstly, establishing basic databases for regional lands, residential structures, trip modes and the like; then dividing traffic zones, and performing trip generation prediction and trip distribution prediction; and finally establishing a two-layer model which consists of an adaptive genetic algorithm and a mode sharing and traffic distribution combined feedback model for different layout schemes, solving, evaluating scheme results, and obtaining an optimal layout scheme after the final convergence of evaluated values to make regional trip cost and the construction cost of public bicycle system facilities the lowest. Compared with the prior art, in the method provided by the invention, the trip needs of residents and the supply of traffic facilities are coordinated, and the method has a wide application range and a high quantification extent, and can provide a scientific technical support for related decision making.

The invention discloses an urban road network generalized road right calculating method considering comprehensive traffic management measures. The method comprises road section time impedance calculation with traffic management measures being taken into consideration and intersection delay calculation under a traffic control strategy, and specifically comprises road section basic traffic capacity analysis, influence correction of the traffic management measures on road section traffic capacity, road section time impedance analysis and correction of the traffic management measures on road section time impedance; and intersection entrance road lane group division based on turning relation, lane group motor basic traffic capacity analysis, influence correction of the traffic management measures on lane group traffic capacity and intersection delay analysis for traffic assignment. The method can reflect independent road rights of different types of vehicles in an urban road network, can enable simulation and prediction results to be more accurate, quantifies difference of different traffic management strategy combination schemes and provides powerful support for planning of current urban traffic management and control and formulation of traffic policies.

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 user heterogeneous time value and traffic jam expense budget-based traffic distribution method. According to the present invention, by adding the two traveler economic parameters of the time value and the traffic jam expense budget in a traffic distribution model, the more objective and reasonable road network flow is outputted. According to the present invention, an actual road network is simplified into an abstract traffic network, and a path selection and traffic distribution combined model considering the heterogeneous time value and the traffic jam expense budget is constructed. The time value is a parameter describing the boundary expense, namely, is the fund cost that the users are willing to save and pay for each unit time, and the traffic jam expense budget is the cash quantity that the travelers can dominate the traffic jam expense. Based on considering the traveler heterogeneity, the user travel target can change from the conventional shortest driving time to the minimum comprehensive cost after considering the traffic jam expense budget, namely, the minimum summation of the driving time and the traffic jam expense, so that, obviously, the travel behaviors of the users and the road network flow can be described more reasonably and objectively, and the reference is provided for the path planning and the traffic jam charging.

The invention discloses a charging station location method considering the traffic running state of an urban road network, comprising the following steps of S1 obtaining the OD travel data of the region, the vehicle holding quantity and the electric vehicle proportion, the distribution law of the initial electric quantity and the charging electric quantity, establishing the regional road network diagram, considering the traffic running state of the road network, and carrying out VISSIM dynamic traffic assignment simulation to obtain the vehicle traveling track, speed and distance data; 2 assigning an initial electric quantity and a charging electric quantity to each vehicle, and combining that data of the vehicle travel track, the speed and the distance, screening and obtaining the distribution of the demand point in the area; 3 aiming at minimizing that construction and operation cost of the regional builder and the detour cost of the user, and taking the charging demand of the user as a constraint condition, and obtaining the optimal quantity of the char station construction; S4 determining the final location of the regional charging station according to the distribution of the regional demand points and the optimal number of charging stations. This method provides a reference for the determination of the number and location of charging stations, and has practical significance.

The present invention provides a traffic allocation method based on the traveler's budget limit, including steps: S1: Obtain network structure data and related parameter information of a target traffic network, and establish an abstract traffic network; S2: Use the abstract traffic network to determine Traffic demand of the target traffic network; S3: Establish a budget constraint model of the target traffic network according to the traffic demand; S4: Establish a traffic allocation model according to the budget constraint model; S5: For the traffic The allocation model is solved and calculated to obtain the allocation result of the target traffic network. A traffic allocation method based on the traveler's budget limit in the present invention provides more accurate quantified performance evaluation results for the reconstruction of the transportation network, not only can provide a sufficient basis for congestion charging, but also the path travel time index output by the model Other travel services such as travel planning may also be provided to the user.

The invention relates to a load balanced multipath data transmission mechanism and belongs to the field of a wireless sensor network. The mechanism comprises the steps of (1), selecting the optimum multi-father node set of each node according to data transmission cost and finishing initial establishment of a network topology; (2), designing a multipath data traffic allocation metric standard, wherein various metrics such as wireless link quality, node residual energy, node cache occupation rates and the subnode number of relay nodes are effectively combined, under the condition of taking various metrics into consideration, influences of the various metrics on weight can be effectively reflected, and specific performance condition of various paths can be effectively evaluated; and (3), designing a traffic allocation strategy capable of maximally balancing network loads based on the traffic allocation metric standard, thereby obtaining the optimum data transmission scheme. According to the mechanism, the load balance can be maximally realized, the node energy consumption is effectively balanced, the network lifetime is prolonged, and the routing reliability is improved.

The invention discloses an emergency rescue facility collocating method based on the reliability of a city road network. The method comprises the following steps of: firstly, carrying out traffic distribution by utilizing the basic information of the city road network and adopting a determinacy user balanced method, and obtaining the traffic flow information of the city road by utilizing a traffic simulation method and constructing the reliability of a road section; secondly, introducing a Dijkstra algorithm applying the reliability of the road section to obtain an amended distance matrix among nodes of the city road network; finally establishing a multi-target decision model of emergency rescue facility site selection, and determining the layout of the emergency rescue facilities in the city according to different targets. In the invention, the randomness of the city road network and the multi-target requirement in rescue facility sit selection are considered so that the layout of the emergency rescue facilities meets the requirement of the actual condition.

The present invention discloses a method and an apparatus for controlling traffic of a multi-mode base station to overcome the unfair or unreasonable traffic allocation between different systems of a multi-mode base station in the prior art. The technical solutions provided by embodiments of the present invention include: obtaining target traffic of any system in the multi-mode base station according to a preset traffic allocation ratio; decreasing an increment step size of the system if current traffic of the system is greater than the target traffic and bandwidth of the multi-mode base station is idle; or increasing a decrement step size of the system if current traffic of the system is greater than the target traffic and bandwidth of the multi-mode base station is congested; and controlling traffic of the system in the multi-mode base station according to the adjusted increment step size or decrement step size.

The invention is applicable to the technical field of traffic simulation, and provides a dynamic OD estimation method based on real path flow backtracking adjustment. The method comprises: acquiring traffic real-time detection data of a target traffic network; obtaining traffic travel data in a simulation area of the target traffic network to obtain an initial OD matrix; performing dynamic trafficdistribution on the initial OD matrix on the target traffic road network to obtain a traffic simulation result of the target traffic road network; comparing the traffic simulation result with the traffic real-time detection data, and calculating the simulation precision of the traffic simulation result; if the simulation precision does not meet the preset precision requirement, adjusting the flowon each OD path of the target traffic network, then carrying out dynamic traffic distribution again to obtain a new traffic simulation result, and returning to execute the step of comparing the traffic simulation result with the traffic real-time detection data to calculate the simulation precision of the traffic simulation result; and if the simulation precision meets the preset precision requirement, outputting a traffic simulation result.

The invention discloses a city streetcar, BRT and conventional bus transit network traffic allocation method and transfer junction determining method. The city streetcar, BRT and conventional bus transit network traffic allocation method and transfer junction determining method is characterized in that on the basis of fixed public transportation passenger flow OD and a known city streetcar, BRT and conventional bus transit network, the traffic among all traffic zones are allocated one by one according to the bidirectional traffic magnitude, from large to small, of the traffic zones, the traffic is allocated to the bus transit network with a shortest route algorithm, the transfer amount of each node is calculated, and transfer junction positions and levels are determined according to the transfer amount. The city streetcar, BRT and conventional bus transit network traffic allocation method and transfer junction determining method is mainly used for macroscopic public transportation transfer junction arrangement, the requirement that most travelers travel according to the shortest routes is satisfied, the attraction of large-capacity public transportation manners to the travelers is increased, and public transportation travelling efficiency is increased.

An electric automobile and diesel locomotive mixed traffic flow-based jammed traffic network equilibrium method disclosed by the present invention comprises the steps of firstly converting an actual mixed road network into the abstract nodes and road section networks, constructing a traffic distribution model considering a conventional internal combustion automobile and electric automobile mixed travel mode, and solving the model by a gradient projection algorithm to obtain a conventional internal combustion automobile and electric automobile mixed travel network equilibrium mode and the roadsection traffic flow, thereby accurately analyzing the influence of the electric automobiles on the road network and analyzing how to adjust the road section traffic flow.

The invention provides a control sub-area dividing method considering traffic flow correlation of road sections. According to the method, first, abstracting processing is performed on a road network and a road adjacency matrix is built, then traffic allocation is performed on the road network by using a user balance model so as to obtain traffic flow of each road section, the traffic flow of the road section is divided by an actual length of a road section so as to obtain quasi-traffic flow density of each road section, a similarity model associated with quasi-traffic flow density of the roadsection is built, a traditional Newman community fast partitioning algorithm is improved through introduction of an edge weight parameter with a road section as a node and similarity as an edge weightof nodes, so as to be used in a weighted traffic road network, and a finally divided traffic control sub-area further meets traffic control requirements. The dividing method is easy to use, optimizesdivision of control sub-areas of the road network in a macro-level, ensures that traffic flows in the same control sub-area have high homogeneity, facilitates coordinated control in the sub-area andbetween sub-areas, and increases maximum capacity of the road network theoretically.

The invention discloses a traffic flow distribution method of an urban road network. The method comprises: step one, carrying out road selection behavior investigation of citizen travelling safety consideration and acquiring a traveler safety consideration road selection behavior investigation result; step two, carrying out urban road network safety performance investigation and acquiring safety performance data of all sections of the urban road network; step three, calculating safety road selection model parameters and acquiring parameter values in the model; and step four, with the safety road selection model, allocating a road network flow and acquiring traffic flows of all sections in a balancing state. According to the invention, a traffic allocation model is constructed by starting with the safety road selection behavior of the traveler, so that the road network traffic flow can be allocated accurately while the traveler considers the road safety factor and the efficiency factorsimultaneously and thus defects of considering the traveler safety consideration road selection behavior of the traditional traffic allocation method are overcome.