37 results about "Transportation models" patented technology

The invention discloses a sensor-network-based novel intelligent transportation model design method. The method comprises: according to an indicator function, road traffic volume collection, intersection delay time, and vehicle congestion prediction value are calculated to realize intelligent transportation guidance scheduling. According to the invention, the method has the following advantages: the system model is guided and scheduled by using a transportation performance indicator function; with introduction of the indicator function, credibility and guidance of system implementation are improved; and thus the method has the certain study value in realizing sensor-network-based intelligent transportation.

Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

The invention discloses an intelligent terminal positioning based intelligent transportation system which comprises a global positioning system, terminal equipment, a wireless base station and a server. The global positioning system sends geographical location information data to the terminal equipment; the terminal equipment sends geographic position data and driving data information to the server through wifi and / or 3G; the server works out road information data according to a transportation model processing algorithm and feeds the information data back to the terminal equipment through a wireless router. By positioning of a traffic position on the basis of the intelligent terminal equipment, users can select traveling roads conveniently according to real-time traffic flow conditions of road traffic, so that traffic congestion can be relieved. The intelligent terminal positioning based intelligent transportation system has advantages that future traffic flow can be predicated according to regular traffic flow data, and other location based services, including gas stations and charging stations, on the intelligent terminal equipment can be adopted.

A transportation problem solving device for solving a transportation problem to optimize the end-to-end physical distribution consisting of a regional transportation and an inter-depot transportation, comprising a transformation section for adding a regional representative node representing a plurality of collection and delivery spots belonging to a depot to a model of inter-depot transportation, and incorporating the regional transportation between each of the plurality of collection and delivery spots belonging to the depot and the depot into a part of the model of inter-depot transportation as the inter-depot transportation between the depot and the regional representative node, an inter-depot transportation computing section for solving the transportation problem, based on a transformation model in which the regional transportation is incorporated into the inter-depot transportation, and computing a transportation plan for each delivery order in an inter-depot transportation portion, when a plurality of transport requests are input, and an output section for outputting the transportation plan computed by the inter-depot transportation computing section.

The invention discloses a coal mine underground personnel and material dispatching method based on digital twinning, and the method comprises the following steps: S1, constructing a digital twinning model of a coal mine underground personnel and material dispatching system; s2, updating the digital twinborn model of the underground coal mine personnel and material dispatching system to obtain a real-time synchronous digital twinborn model of the underground coal mine personnel and material dispatching system; and S3, based on the real-time synchronous digital twinborn model of the underground coal mine personnel and material dispatching system, carrying out dispatching prediction by constructing a logistics model and a transportation model, predicting the personnel and material dispatching process of the target transportation system in the next day, and carrying out diagnosis and reasoning on the dispatching situation according to a prediction result in combination with an expert fault diagnosis system. And making an adjustment plan of the current scheduling strategy of the target transportation system. The method has the advantages that the defects that an existing coal mine underground personnel and material dispatching method cannot reflect the personnel and material dispatching process in real time, and the material demand prediction precision is not high enough are overcome; and the obtained scheduling result is analyzed and deduced based on the fed-back real-time data, so that the existing scheduling strategy can be adjusted in time, and the scheduling efficiency is improved.

The invention discloses a pollution vehicle scheduling method and system based on simulated annealing and branch cutting optimization. The method comprises steps: a transportation model is establishedaccording to acquired distribution parameters, and according to load parameters and the transportation model, a carbon emission model is established; a simulated annealing algorithm and a branch cutting algorithm is used to carry out optimization calculation on the transportation model, the carbon emission model and a preset capacity model of each vehicle to obtain the information of each distribution route; and finally, according to the distribution route information, pollution vehicle scheduling optimization is completed. Each related model is firstly established, the simulated annealing algorithm is then used to acquire an integer solution more quickly, the operation time of the integer solution is greatly reduced, and the calculation efficiency is improved; and the simulated annealingalgorithm is established to be used for generation of the best integer solution and improvement of an optimum solution in the branch cutting algorithm, the global optimization ability of vehicle scheduling is improved, and the vehicle scheduling arrangement can maximally reduce the carbon dioxide emission from vehicles.

The invention discloses a cargo handling method for a Baosteel-Haier supply chain. The cargo handling method comprises the steps that (1), a weight and area conversion model of Baosteel products is built; (2), a cost performance selection model is built; (3), cargos of Haier are merged and a set material model is built according to the inventory requirements of the Baosteel-Haier supply chain; (4), an intelligent cargo ordering model is built according to the weight and area conversion model built in the step (1), the cost performance selection model built in the step (2) and the set material model built in the step (3) on the basis of demanded quantity of materials calculated through material unit consumption and a yield plan; (5), according to the cargo ordering type in the intelligent cargo ordering model built in the step (4), an intelligent regular bus type transportation model is built. According to the cargo handling method for the Baosteel-Haier supply chain, the client requirements are taken as the starting point, the purpose of meeting the customer requirement and the purpose of selling the Baosteel products are achieved at the same time, inventory and logistics transportation costs are saved, logistics transportation management is simplified, and sound development of the Baosteel-Haier supply chain is ensured.

The invention discloses a method and a device for analyzing water transportation of plants and soil of urban green lands. The method comprises the following steps of: acquiring a soil parameter, a plant parameter and driving data, wherein the soil parameters comprise all soil-layer thicknesses, and the plant parameter comprises rate between the crown breadth and the root breadth, and the driving data comprises rainfall precipitation; carrying out operation on the soil parameter, the plant parameter and the driving data by adopting a water transportation model of the plants and the soil of the urban green lands; and obtaining the quantities of states and the quantities of processes, and predicting water consumption and proper irrigation water requirement of the plants of the urban green lands, wherein the quantities of states comprise water content of all layers of soil and water-holding capacity of the canopy layer, and the quantities of processes comprise water-absorbing capacity of root systems of all the soil layers, evaporation capacity of the soil, evaporation capacity of the canopy layer and water flux of the soil. The device and the method are high in accuracy, are used for analyzing the water transportation process of the plants and the soil of the urban green lands and provide a solution for calculating the water requirement and the water irrigation capacity of an urban compound community system.

The invention discloses a gas-liquid two-phase flow phase interface density calculation method, device and equipment and a storage medium. The existing method for calculating the phase interface density by adopting an algebraic phase interface density model or a phase interface density transport equation has the problems of poor precision and poor applicability. According to the invention, a large number of drift velocity models developed for different channel structures and flow forms are introduced; on the premise of high completeness and high precision of the drift velocity model, the phase interface density model obtained by using the drift velocity model has relatively high precision; the applicability to different channel types and flow patterns is realized; the invention has good applicability to complex flow patterns such as elastic flow, stirring and mixing flow, annular flow and the like in horizontal or vertical round pipes and rod bundle channels. The defects of poor precision of transition simplification of an algebraic model and poor applicability of a phase interface transportation model are overcome.

The invention discloses a carbon nanotube field effect transistor (CNTFET) with a peak-symmetric linearity doped structure. A transportation model applicable to the CNTFET with the peak-symmetric linearity doped structure is constructed, and by means of the model, the influence of a HALO-Linear doping strategy on electrical properties of the CNTFET is analyzed and calculated. Through contrastive analysis of electrical properties of CNTFETs using other doping strategies, the CNTFET with the peak-symmetric linearity doped structure has a higher switched current ratio, lower leakage current, a smaller subthreshold amplitude, higher cut-off frequency and shorter delay time, that is, the CNTFET using the HALO-Linear doping strategy has better grid-control capacity and better switching characteristics and is capable of effectively inhibiting a short-channel effect and a hot carrier effect.

The invention discloses an energy consumption perceptive virtual network mapping transportation model and algorithm. The two main steps of setting a virtual network mapping efficient energy-saving transportation model and setting a virtual network mapping minimum energy consumption algorithm are included. According to the features of the bottom layer network energy consumption, request quantity features of CPU resources and virtual network CPU resources are utilized, the energy-saving transportation unit price parameter, the bottom layer node CPU resource production quantity and the virtual node CPU resource consumption quantity are set, node and chain mapping constraint is added, the virtual network mapping efficient energy-saving transportation model is set, the virtual network mapping minimum energy consumption algorithm is designed, and the system energy consumption is lowered.

The present disclosure provides a modeling method for traffic flow in a service area of ​​an expressway, which includes: collecting the number of vehicles entering a certain service area for several days, calculating the change curve of traffic flow in the service area for each day and clustering it , to obtain the change pattern of vehicle inflow in multiple service areas; use the Gaussian mixture model to fit the time distribution of vehicle inflow in different service areas, and obtain the inflow model of multiple service areas; according to the main line near the service area The cross-sectional traffic volume, service area scale, distance between the service area and the front and rear service areas or cities are used to construct the inflow volume model of the service area, and a service area inflow traffic flow model with the individual characteristics of each service area is obtained.

A network planning method for an underground logistics system based on 0-1 planning and prim algorithm, comprising the following steps: selection of primary and secondary nodes and affiliated area points, prim algorithm construction of primary nodes, secondary nodes and their affiliated point routes and Select the tunnel and track specifications to be built, and arrange the transportation models and train numbers to complete the output results of the logistics system network planning; the invention obtains nodes at all levels on the basis of satisfying service scope, ensuring ground freight volume sending and receiving, and alleviating traffic congestion. Based on the target planning expression, and combined with the principle of the level of the congestion index and the uniform distribution of regional points, it is adjusted under the requirement of ensuring the full coverage of the traffic congestion area. The Prim algorithm is used when establishing track connections to ensure the shortest total route and the lowest cost. It reduces traffic congestion, simplifies the solution process, provides a set of methods for the construction of underground logistics system network, and can be promoted according to the characteristics of freight distribution in each target area.