15 results about "VisSim" patented technology

The invention provides a traffic simulation analysis method for an expressway construction area based on VISSIM. The method comprises the following steps: S1, collecting point cloud data, vehicle data and traffic video data of the landform of the construction area in real time; s2, preprocessing the collected multi-source data; s3, constructing a dynamic simulation model of the construction area; s4, simulating the traffic condition of the construction area; s5, dynamically planning an optimal driving path of the vehicle according to the simulated traffic condition and construction information; and analyzing the vehicle overlapping probability of the intersection in real time, and performing early warning according to an analysis result. Through the technical means of multi-source data fusion, high-precision dynamic modeling, real-time analogue simulation, intelligent path planning and the like, accurate simulation and optimal management of the traffic influence during the blasting demolition construction of the expressway overline overbridge group are realized, and remarkable technical advantages and application values are achieved; and a scientific and efficient solution is provided for urban traffic management.

The invention relates to a BIM + GIS scene and Vissim fused traffic flow three-dimensional live-action simulation method, and belongs to the technical field of traffic simulation, and the method comprises the following steps: S1, constructing a live-action scene three-dimensional model through employing an unmanned plane oblique photography technology; s2, on the basis of the real scene three-dimensional model, carrying out model repairing processing on the real scene, and establishing a BIM model; s3, performing die assembly processing on the real scene three-dimensional model and the BIM model through coordinate positioning to obtain a real scene fusion model; s4, carrying out traffic data modeling and quantitative analysis on the traffic organization scheme by utilizing Vissim software; and S5, carrying out interconnection fusion on the live-action fusion model data in the step S3 and the Vissim traffic simulation data in the step S4, and realizing three-dimensional visual display and evaluation of traffic passage analysis based on traffic flow data.

The invention belongs to the technical field of traffic transportation, and particularly discloses a complex traffic scene travel time reliability measurement method, which comprises the steps of determining factors influencing travel time reliability and scenes corresponding to the factors; calculating a speed adjustment coefficient of the complex traffic scene; collecting basic information and traffic operation data of a road section; according to the speed adjustment coefficient of the complex traffic scene, the basic information of the road section and the traffic operation data, simulating travel time data of the road section under different traffic scenes and traffic flows by using VISSIM software; fitting a probability distribution function for the travel time data, estimating parameters of the fitting probability distribution function, and checking goodness of fit; and calculating a travel time reliability index according to the probability distribution function to realize measurement of the travel time reliability of the road section. The problems that in the prior art, due to the fact that the multi-factor dynamic coupling effect is not fully considered, scene coverage is incomplete, and travel time data of complex traffic scenes are difficult to obtain are solved.

The present invention discloses a two-stage prediction method for eliminating queue overflow at short-distance intersections based on Bi-LSTM, which relates to the technical field of traffic management. Discriminant conditions for identifying queue overflow and eliminating queue overflow are established. A simulation road network of two short-distance intersections is constructed in vissim traffic simulation software, and data is obtained by using the simulation software. Based on the data, factor analysis is carried out, and a two-stage prediction model for eliminating queue overflow based on Bi-LSTM is constructed. The model is trained, and the model is used to predict the queue overflow elimination state at the intersection. The vissim traffic simulation software is used to collect data for analyzing the influence of various factors on the queue overflow elimination state of the road section. On the one hand, it provides a basis for constructing a two-stage prediction model based on the Bi-LSTM algorithm and improves the prediction ability of the model. On the other hand, it provides a data set for training the model, thereby improving the interpretability of the model.

The application discloses a kind of microcosmic traffic simulation parameter calibration value data processing method of group difference minimum, it is related to traffic safety and traffic simulation technical field.The method is realized by accurate measurement and fine operation to simulation model parameter, and the optimization of microcosmic traffic simulation parameter.Firstly, by setting traffic volume, speed, vehicle type composition, running time and other parameters, using VISSIM simulation model and MATLAB realizes simulation calibration program.Then, the program is run, and the parameter calibration result is obtained, and the average value and standard deviation of each parameter are calculated.Subsequently, the difference between the parameter and the average value is calculated, and the size of the difference and the standard deviation is compared, and the data that does not meet the condition is eliminated.Finally, the group data that the error of each parameter is within the standard deviation range is retained, the difference value of each parameter is obtained, then the data is arranged, and the data difference minimum is taken out as the final parameter value result.The method can greatly improve the accuracy and reliability of simulation model.

The application provides a vehicle detector data repair performance analysis method considering multi-factor influence, and belongs to the technical field of intelligent traffic information. The application specifically comprises the following steps: building an expressway road network model based on VISSIM traffic simulation software, and generating expressway multi-source data by using the expressway road network model; obtaining the repair value of the expressway traffic flow parameter by repairing the real value of the expressway traffic flow parameter; constructing a vehicle detector data repair performance analysis model based on a BP neural network structure, training the vehicle detector data repair performance analysis model by using the expressway multi-source data and the repair value of the expressway traffic flow parameter; and quantitatively analyzing the vehicle detector data repair performance by using the trained vehicle detector data repair performance analysis model. The application can make the vehicle detector data repair performance reach an ideal level, has guiding significance for traffic managers to arrange expressway multi-source detection equipment, and further improves the reliability of traffic data.

The invention discloses a driver behavior identification method and system for automatic driving virtual test and verification. Traffic video data are collected through a multi-source sensor, dynamic target object classification and trajectory extraction are performed by using a deep neural network, and a trajectory is converted into global coordinates and stored; and based on the trajectory data, using a deep learning algorithm to analyze driving behavior characteristics in a complex traffic scene, calibrating driver model parameters by considering regional differences, and generating a driver model. And constructing a virtual test framework based on GiA software and PTV Vissim joint simulation, and carrying out virtual test and verification. The driver behavior can be accurately identified, the authenticity and simulation accuracy of a test scene are improved, the model is more practical by considering regional difference, the test efficiency and range are improved by cloud parallel test, and the method has important significance on development and commercialization of an automatic driving system and can also be applied to other fields of intelligent traffic.

The invention relates to a traffic organization mode selection method oriented to an underground road system, which constructs a traffic organization strategy set of the underground road system from the perspective of hierarchical organization based on the layout characteristics of the existing underground road system. And building a basic road network model based on the traffic organization strategy set, loading road network requirements, inputting road network data into the user balance model, solving to obtain a traffic simulation result, and obtaining an OD traffic volume. And inputting a traffic flow path into a road network in the microscopic model VISSIM, carrying out simulation analysis, and outputting a microscopic traffic simulation index. And collecting macro and micro simulation results, constructing a traffic organization mode selection model driven by a random forest, and recommending a traffic organization mode. According to the method, analysis is carried out at the macroscopic level and the microcosmic level at the same time, the influence of multiple factors is comprehensively considered, the prediction result is more accurate, model verification and calibration are more reliable, and scientific basis is provided for traffic organization mode formulation.

The application provides a VISSIM microcosmic traffic flow simulation method and system, which firstly introduces the road use characteristics (flatness, skid resistance) of solid waste pavement into the VISSIM simulation parameter system; the length optimization is realized by hierarchical constraint + dynamic iteration instead of static single simulation; the quantitative correlation of'material characteristics-traffic parameters-operation zone length' is established by using the traffic capacity attenuation coefficient, so that the decision is changed from 'empirical type' to 'quantitative type', and specifically, through the process, the most economical operation zone length can be found under the premise that the service level of the operation zone is greater than or equal to three, which not only avoids the problems of 'cost waste caused by too long' or 'traffic congestion caused by too short' in the traditional method, but also adapts to the special pavement conditions of the solid waste utilization reconstruction and expansion project.

The invention provides a VISSIM-based microscopic traffic flow simulation method and system. The road characteristics (flatness and skid resistance) of a solid waste road surface are brought into a VISSIM simulation parameter system for the first time; length optimization instead of static single simulation is realized through hierarchical constraint and dynamic iteration; the traffic capacity attenuation coefficient is used for establishing quantitative correlation of material characteristics-traffic parameters-operation area length, decision making is changed from an empirical type to a quantitative type, specifically, through the process, the most economical operation area length can be found finally on the premise that it is guaranteed that the service level of the operation area is larger than or equal to the third level, and the service level of the operation area is improved. The problem of cost waste caused by too long or traffic jam caused by too short in the prior art is avoided, and the special road surface conditions of solid waste utilization reconstruction and extension projects are adapted.

The application belongs to the technical field of traffic planning of expressway network, and discloses an evaluation method of an expressway intercommunication overpass interval setting scheme, which is used to select the best setting scheme of the expressway intercommunication overpass interval. First, based on the operation characteristics of the expressway, an evaluation index system composed of traffic efficiency, traffic risk, accessibility and construction cost is constructed. Then, combined with the VISSIM simulation model, the entropy weight method and the TOPSIS comprehensive evaluation method, the evaluation method of the expressway intercommunication overpass interval setting scheme based on the aforementioned evaluation index system is constructed. The evaluation method designed by the application can provide support for the relevant departments to set the expressway intercommunication overpass interval for strengthening the connection of the highway traffic network of the urban agglomeration under the background of the continuous expansion of the urbanization scale.

The application provides a construction area traffic guide improvement optimization control method, and belongs to the technical field of guide improvement optimization control, which is based on a BIM and GIS platform to construct a three-dimensional digital basic model of a construction area and a surrounding road system; three-dimensional model parameters are introduced into VISSIM software, a traffic simulation model is built and parameters are configured, and a data intercommunication interface is established; traffic operation states under different guide improvement schemes are simulated, simulation data is output; potential congestion nodes and risk points are identified, schemes are dynamically optimized, and targeted relief and safety management measures are formulated; after the schemes are implemented, the BIM and GIS platforms are used to monitor and fine-tune in real time. The application realizes deep integration of VISSIM, BIM and GIS, avoids traffic risks in advance through quantitative evaluation and dynamic optimization, effectively reduces traffic interference on schools and residential areas, improves the scientificity and adaptability of guide improvement schemes, reduces construction costs and safety risks, and is suitable for various construction traffic guide improvement projects involving sensitive areas.

The application discloses a kind of open-pit mining efficiency simulation optimization method, belong to the technical field related to digital management of mine exploitation.The method includes: using unmanned aerial vehicle to collect open-pit surface data, generates mining status plan;Import 3D mining software to construct geological model and design mining boundary;Based on VISSIM microcosmic traffic simulation software, construct transport simulation model, set traffic rules and establish vehicle dynamic numerical model;Calculate the speed and acceleration of mine truck under different climate conditions, embed simulation model operation, obtain the output quantity of vehicle per unit time;Predict the maximum excavation volume of period, optimize mining location and update mining boundary;Through multi-period iterative simulation, aggregate annual total mining volume, compare with design target, dynamically optimize vehicle and equipment resource allocation.The application realizes the dynamic simulation of mining and transport system and the quantitative analysis of climate influence, overcomes the limitations of traditional static model and experience management, significantly improves the accuracy of mining efficiency evaluation and the scientificity of resource allocation.

The invention discloses a surface mine mining efficiency simulation optimization method, and belongs to the technical field related to mine mining digital management. The method comprises the following steps: acquiring surface data of a strip mine pit by using an unmanned aerial vehicle to generate a mining status plan; importing three-dimensional mining software to construct a geologic model and design a mining boundary; constructing a transportation simulation model based on VISSIM microscopic traffic simulation software, setting traffic rules and establishing a vehicle dynamic numerical model; calculating the running speeds and accelerations of the mine truck under different weather conditions, embedding the simulation model to run, and obtaining the vehicle output quantity per unit time; predicting the maximum excavation volume of the period, optimizing the mining position and updating the mining boundary; and through multi-cycle iterative simulation, summarizing the annual total mining amount, comparing with a design target, and dynamically optimizing vehicle and equipment resource allocation. According to the method, the dynamic simulation of the mining transportation system and the quantitative analysis of the climate influence are realized, the limitation of a traditional static model and experience management is overcome, and the accuracy of mining efficiency evaluation and the scientificity of resource allocation are remarkably improved.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent network connection vehicle multi-mode traffic control method, which comprises the following steps of: constructing a combined working condition, aligning a vehicle speed curve of the combined working condition with a signal lamp SPAT information phase period, and establishing an urban road scene simulation model; constructing a traffic density-vehicle speed coupling model based on a cellular transmission model, screening typical traffic density working conditions in combination with a VISSIM model, and generating a dynamic vehicle speed interval map; a two-stage distance threshold is preset to divide a control interval, a multi-mode control model containing PID, MPC and CRUISE is constructed, and an algorithm is dynamically switched according to the distance between a vehicle and a signal lamp and the real-time state. The method realizes three-dimensional coupling of traffic density, signal lamp phase and multi-mode control, adapts to urban and rural mixed road scenes, reduces vehicle start-stop and traffic delay, improves traffic efficiency and driving smoothness, reduces energy consumption and emission, adapts to existing vehicle-mounted hardware, and is easy to popularize and apply.