486 results about "Traffic simulation" patented technology

The invention discloses a track traffic simulation system. The track traffic simulation system comprises an ATC (Automatic Train Control) simulation system 11, a train driving simulation system 12 and a dispatching simulation system 13, wherein the ATC simulation system 11 is connected with the train driving simulation system 12 and is used for reappearing the control and the running rule of a real train according to a first mathematic model and carrying out driving training on a driver by combining the dynamic demonstration of a three-dimensional scene; the ATC simulation system 11 is connected with the dispatching simulation system 13 through a gateway computer and is used for reappearing the control and the running rule of a real ATS (Automatic Train Supervision) system according to a second mathematic model and carrying out dispatching training on a dispatcher by combining interactive operation of behavior simulation of the driver. According to the track traffic simulation system disclosed by the embodiment of the invention, the ATC simulation system, the train driving simulation system and the dispatching simulation system are integrated, the combination of the train driving training and the dispatching training is realized, the simulation degree is increased, and thus the training effect is enhanced.

The invention discloses a city-level intelligent traffic simulation system. With multi-source heterogeneous data as input, the vehicle queue length of each lane at an intersection can be predicted, the evolution of the vehicle queue length is further dynamically simulated, and the simulation system comprises a data collection module, a multidimensional database, an algorithm module, a traffic state prediction module, a traffic simulation derivation module and an interaction visualization module. In the data collection module, the collected data comprise traffic dynamic data and static data. The multidimensional database is used for receiving various traffic dynamic information in real time and storing road infrastructure configuration information. In the algorithm module, a generated confrontation network is used for data generation and state prediction on the vehicle queue length, and the processing process comprises data feature extraction, data dimension processing, confrontation network generation, and hyperparameter optimization. The vehicle queue length of each lane at the intersection can be predicted, and the evolution of the vehicle queue length is further dynamically simulated.

A technique for simulating natural behaviors of moving objects is provided. A road traffic simulation apparatus includes a simulation unit for performing a traffic simulation, a display unit for displaying a progress status of the traffic simulation and a control unit for controlling the simulation unit. The simulation unit has a traffic environment database and a moving object model. The moving object model has a driver model in which a driving operation of a driver is modeled and a vehicle dynamics model in which a vehicle behavior is modeled. The driver model performs different processes in parallel in respective different cycles. The results of each cycle process are integrated and output to the vehicle dynamics model.

The invention belongs to the technical field of traffic simulation, and provides a real-time online traffic simulation system comprising a detection data acquisition module, an initial matrix acquisition module, a dynamic path decision module, a mesoscopic traffic flow simulation module, a precision calculation module, a dynamic OD estimation module, a short-time traffic state prediction module, amesoscopic and microscopic fusion traffic simulation module and a real-time online module. According to the simulation system, the value of multi-source data can be fully utilized and mined, OD pathset more conforming to actual traffic conditions is generated, the timeliness of the simulation data is fully considered, and the accuracy of dynamic OD estimation is improved.

An embodiment of the invention provides an interactive type visual simulation system under the vehicle road collaborative environments.The system comprises a real traffic simulation three-dimensional model, a virtual driving vehicle, a driver-vehicle interactive simulation unit and a traffic flow model, and the traffic flow model considers driver factors and combines a vehicle starting and stop module.The system is based on the three-dimensional simulation environments, an interactive type dynamic mapping model corresponding to the virtual vehicle, different typical scene simulation and the like, the traffic flow model considering the driver behavior is designed, the behavior and the effect of a cooperative vehicle infrastructure system can be displayed to a user from multiple angles, at the same time, the acceptance degree of the driver on vehicle road collaboration certain functions and the design rationality of certain functions are analyzed, and a virtual driving environment with sense of reality and sense of immersion can be provided for the driver.

The invention provides a cellular automaton model based urban road network traffic flow simulation design method. The cellular automaton model based urban road network traffic flow simulation design method comprises the following steps of 1 establishing an urban road network consisting of a plurality of bidirectional two-lane roads; 2 establishing an on-lane vehicle update rule; 3 establishing a vehicle update rule at intersection positions and establishing a deadlock avoiding rube, wherein vehicles on the cells in the intersections and cells on the peripheries of the intersections follow different update rules; 4 distributing N vehicles in the urban road network to perform a simulation experiment, wherein the vehicles rung by following the rule in the step 2 and the rule in the step 3; 5 acquiring outgoing data of the vehicles in the step 4 and performing calculation and analysis so as to evaluate the characteristic of traffic flows of the urban road network. By means of the cellular automaton model based urban road network traffic flow simulation design method, the running states of complicated traffic flows of the bidirectional two-lane roads and the intersections can be really reflected, and the truthfulness of traffic simulation can be improved.

The present invention is directed to a traffic simulation algorithm for an asynchronous transfer mode communications (ATM) network. The algorithm recognizes that packets in ATM networks can have interarrival times that are lognormally distributed or lognormally and normally distributed. Lognormal and, in some cases, normal random number generators are used to generate packet interarrival times of a synthetic traffic stream.

The invention relates to a dynamic traffic simulation platform which comprises a perception layer, a fusion layer, an application layer and a presentation layer. The perception layer is connected with a dynamic traffic data collecting device, multivariate heterogeneous traffic flow data are obtained and transmitted to the fusion layer in real time, and the fusion layer is connected with the application layer. The multivariate heterogeneous traffic flow data and GIS data are received for processing, the application layer obtains road network dynamic traffic flow data, and a traffic simulation model is formed. Through the traffic simulation model and a traffic OD matrix, dynamic traffic simulation is performed, and the presentation layer receives the traffic simulation result of the dynamic traffic simulation in the application layer, and provides service application and presentation to a terminal client. The problem that in the prior art, a large number of real-time dynamic traffic data can not be rapidly matched with a road section well is solved. Therefore, the multifunctional dynamic traffic simulation platform is capable of performing OD back stepping and real-time dynamic traffic early warning on dynamic traffic flows on the basis of a GIS grid rapid matching technology.

The invention discloses a traffic conflict simulation two-stage parameter calibrating method, which comprises the following steps of: calibrating parameters in traffic simulation software (VISSIM) influencing traffic running at a first stage; and calibrating a simulation conflict decision threshold value in conflict analysis software (SSAM) at a second stage. On the basis of the conventional traffic simulation model parameter calibrating method, the two-stage parameter calibrating method oriented to traffic conflict simulation is provided, so that the defect of low conflict simulation accuracy existing in the conventional parameter calibrating method is overcome; and the method has practical engineering use value on the aspect of safety research of a traffic design scheme by using microscopic simulation software.

The invention discloses a road network model construction method used for the traffic navigation system and the traffic simulation system. The road network model construction method is used for storing the electronic map in the traffic navigation system and defining the virtual road network in the traffic simulation system. The construction method adopts the as the basic unit and adopts the directed graph as the abstract data structure; the model construction method includes the network entity description method, the lane connectivity description method, the intersection traffic rule description method and the method which adopts the XML format to store the road network data files. The road network model construction method has the advantages that the constructed road network model can realize the description of the contents, including the shape and position features of roads, the inter-road connective relation, the inter-lane connective relation, adjacent relation, steering limitations and the attribute information, and the traffic rules of the road intersections; the constructed road network model also can organize and manage great quantities of attribute and connectivity information.

The invention, which belongs to the virtual simulation technology field, more particularly relates to an integrated traffic simulation system based on interaction usages of macroscopic, mid-scopic and microscopic traffic simulation platforms. The system comprises a macroscopic traffic simulation module, a mid-scopic traffic simulation module, a microscopic traffic simulation module and a data collection and fusion module. The mid-scopic traffic simulation module is connected with the macroscopic traffic simulation module; the microscopic traffic simulation module is connected with the mid-scopic traffic simulation module; and the data collection and fusion module is respectively connected with the macroscopic traffic simulation module, the mid-scopic traffic simulation module and the microscopic traffic simulation module. According to the invention, on the basis of independent simulation of macroscopic, mid-scopic and microscopic traffic simulation platforms, interaction utilization of all layers of simulation systems and various simulation platform data is realized; traffic operation states of traffic flows and pedestrian flows large-scale activities can be comprehensively simulated; therefore, a technological basis can be provided for formulation of various traffic decision schemes of large-scale activities.

The invention discloses a multi-terminal in-loop virtual-real combined traffic comprehensive scene simulation test system and method. A virtual three-dimensional scene is constructed and comprises a vehicle, a road, a building, a tree, a lateral clearance, a wading road section and a portal frame, and people, animals, a weather environment, an illumination condition, signal lamps and traffic flowdata generated by microscopic traffic simulation software in the scene are used as virtual objects; driving data transmitted by a manually-controlled simulation driving vehicle, a vehicle-mounted unitof an intelligent network connection vehicle in a real environment, a road side unit and an unmanned vehicle rack are used as real objects; the three parts jointly form a traffic simulation test system with a closed-loop form, and the functions of the test system mainly comprise performance evaluation of a main body object, driving behavior analysis and the like.

The invention discloses an interactive method of an automobile driving simulator and a virtual traffic environment simulation system. The interactive method adopts a high-efficiency algorithm and a data structure to realize real-time interaction of the automobile driving simulator and virtual traffic environment simulation software: the traffic environment simulation software conducts interactive traffic microscopic simulation calculation according to a self-state, a received state of the automobile driving simulator, and a traffic simulation model. The automobile driving simulator receives state information about traffic participating objects near the traffic environment simulation software in a traffic flow from the traffic environment simulation software and uses the information to accomplish collision detection calculation in a three-dimensional space and realize the interaction with the traffic flow simulated by the virtual traffic environment simulation software. According to the interactive method of the automobile driving simulator and the virtual traffic environment simulation system, with the adoption of a directed graph structure, quick traversal of road environmental data is realized; the efficiency of the simulation calculation is improved; simulation calculation results are vivid; and the interactive relation of the automobile driving simulator with the virtual traffic environment simulation system can be simulated well.

Method, apparatus, and computer products are provided for creating a network design and simulating communication traffic over the network design on a computer. Input of network elements is received, and the network elements are operatively connected by links to form a network design. Each network element and each link include parameters representative of software and hardware. Input is received of a test condition for a simulation of communication traffic over the network design. The test includes the type of communication traffic, the amount of communication traffic, and the times at which the communication traffic occurs. The computer executes the simulation of the test condition for the network design to determine a survivability for the network elements and the links connecting the network elements. The computer executes an impact analysis on the output of the simulation to determine if there are excessive loads on the network elements and links.

The invention relates to a traffic signal instrument control strategy comprehensive performance validity test system and a method, which relates to the test and evaluation of comprehensive operation performance and control strategies of a traffic signal instrument and validity evaluation on the control strategy of the signal instrument, and belongs to the control field of the traffic information signal. A virtual crossing traffic environment is established through a microscopic traffic simulation software VISSIM and interacted with a real traffic signal instrument, so that the signal instrument outputs a signal to control the traffic circulation in the virtual crossing traffic environment; and meanwhile, the traffic vehicle detection information in the virtual crossing traffic environment is returned to the traffic signal instrument. Through the synchronous running of the traffic signal instrument and the virtual crossing traffic environment, based on the traffic circulation evaluation function of the microscopic traffic simulation software VISSIM, the evaluation on the traffic circulation situation of a virtual crossing is realized, the traffic circulation situation is a control result of the traffic signal instrument, i.e. the test and evaluation on the comprehensive performance validity of the control strategy of the traffic signal instrument can be realized.

The invention discloses a dual-mode switch based self-adaptive cruise control method for an electric car. The method comprises steps as follows: establishing a stable car following mode; establishing a fast approaching mode; establishing a dual-mode switch rule for control moment distribution on the basis of fuzzy reasoning. According to the method, driving demands of a driver are summarized through analysis of actually measured microscopic driving NGSIM data collected by Federal Highway Administration combined with microscopic traffic simulation research scholars; the control rule of the fast approaching mode and the stable car following mode is constructed under a model prediction control frame, and a switch rule between the modes is made according to the fuzzy reasoning. A control mode of a self-adaptive cruise control system is closer to driving characteristics of a real driver and is more adaptive to complicated road conditions. The dual-mode switch based self-adaptive cruise control method for the electric car can really reflect demands for the stable car following mode, the fast approaching mode and the like of the driver in a normal driving process, and can guarantee safety, car following performance, comfort and economic efficiency of the car in a traveling process.

The invention relates to a simulation test platform system for researching driving behaviors, which can provide a vehicle environment and driving functions which are completely consistent with the actual driving for drivers, ensures the driving operation and the authenticity of vehicle data acquisition, and ensures the basic simulation of the indoor use of a test vehicle and the feedback of road conditions to the driving so as to provide a traffic visual simulation environment with high immersion for the drivers. The simulation test platform system comprises a driving test vehicle, a driver information acquisition system, a vehicle information acquisition and processing system, a traffic simulation visual driving module, a visual projection system, a visual simulation and a road traffic scene modeling system, a road driving resistance simulation system and a system integration module, wherein the driving test vehicle is connected with the vehicle information acquisition and processing system, and the real-time communication exchange and data feedback between the vehicle information acquisition and processing system and the traffic simulation visual driving module are carried out through the system integration module. The simulation test platform system is characterized in that the driving test vehicle is of a real mini bus, and the steering mechanism of the mini bus is disconnected.

The invention discloses a traffic signal timing optimization method based on deep reinforcement learning. A signal lamp outputs a proper phase according to the traffic flow states in all directions of an intersection, and dynamically adjustes the phase length; Specifically, firstly, a PPO algorithm is adopted to improve the convergence rate of the model; then, the vehicle state is defined using a DTSE method, and the design of the state, action, and award is elaborated; and finally, the actual traffic data is experimented through a traffic simulation platform SUMO. Results show that compared with traditional timing control, the scheme can effectively reduce waiting time and queuing length of vehicles in various traffic flow modes.

The invention discloses a construction method for an integrated dynamic traffic simulation platform of a city. The construction method for the integrated dynamic traffic simulation platform of the city has following beneficial effects: by integrating a macro-model, a mesoscopic model and a micro-model into an integrated simulation platform, the construction method helps to realize sharing of a road network and data and decrease waste of repeated modeling work and data resource so that higher efficiency and a broader application scope are obtained; compared with parameter calibration method based on the micro-model, the introduced parameter calibration method based on the mesoscopic simulation model has less modeling workload, quicker operating speed and a greater path analysis function; by additionally arranging a special interface tool, flow data can be directly imported or control data of a traffic signal control system can be directly read in; imported or read-in external static and dynamic traffic data can be automatically converted to data of the simulation platform, thereby cutting down the number of participants, updating traffic data in a real-time manner and further increasing efficiency; and the construction method is extensively applied to the field of virtual simulation.

The invention provides a path recognition method based on a four-dimensional live-action traffic simulation road condition awareness management system. The path recognition method comprises the stepsthat a radar sensor arranged on the road side acquires tracking and positioning information of each passing vehicle and synchronously triggers a vehicle license plate snapping camera, and the vehiclelicense plate snapping camera acquires vehicle photos and sends the tracking and positioning information and the vehicle photos of the vehicles to a center server; vehicle feature information in the vehicle photos is extracted and compared with a local preset three-dimensional vehicle model library, fuzzy matching is conducted to extract corresponding three-dimensional vehicle models, and the vehicle tracking and positioning information is fused with the three-dimensional vehicle models; and the three-dimensional vehicle models obtained after fusion are superimposed with a three-dimensional GIS maps to achieve four-dimensional live-action road condition simulation, position information of the vehicles at different time nodes is acquired by setting a time interval, precise vehicle path information that a user wants to know can be acquired by adopting a point-line connection technology, and then the purpose of precise vehicle path recognition is achieved.

The embodiment of the invention relates to the field of driving testing systems, and discloses a testing method and a testing system. The testing system comprises a traffic simulating module, an interface interaction simulating module and a measured object, wherein the traffic simulating module is used for simulating a traffic environment in the running process of a tested vehicle and simulating the tested vehicle; the interface interaction simulating module extracts a sensor signal of the tested vehicle from traffic information and scrambles the sensor signal with environmental information; the measured object is used for determining a next control instruction of the tested vehicle according to the scrambled sensor signal of the tested vehicle and transmitting the next control instructionto the traffic simulating module. Through the testing method and the testing system, when an automatic driving function of the vehicle is tested, influence of the environment on a vehicle sensor is considered, and weather conditions and disturbing vehicle behaviors which are closer to the reality are set, so that a tested driving scene is more real, and the automatic driving function of the vehicle is conveniently verified.

The invention provides a four-dimensional real scene traffic simulation vehicle overspeed whole-process tracking detection and alarm system and method. A vehicle capture camera is utilized to capturetravelling vehicles in real time to obtain characteristic information of the vehicles; real-time tracking positioning data of the vehicles are obtained through an omni-directional tracking and detection radar; a data acquisition and analysis processor extracts preset overspeed rules in a cloud processing server to judge whether the vehicles overspeed or not, conducts target lock and tracking on the overspeed vehicles, judges whether the vehicles illegally occupy a lane and overtake or not by combining with vehicle images of the vehicles, and generates alarm information to be reported to the cloud processing server so as to remind the vehicles to decelerate and remind the front vehicles on the same lane to avoid the overspeed vehicles, and thus vehicle accidents are avoided; and the cloud processing server records the starting time, the overspeed time and overspeed road sections of vehicle overspeed in time according to the alarm information, stored alarm videos, and vehicle travellingpaths collected and formed by the omni-directional tracking and detection radar distributed in a full path mode, the alarm information is formed in time, and thus vehicle accidents are avoided.

The invention aims to provide an interactive traffic simulation system with a distributed system structure, which is a novel traffic-driving hybrid simulation system. The core is that: a returning vehicle driving simulator for a person serves as a traffic participation entity and is introduced into the traffic simulation system. The vehicle driving simulator serving as the traffic participation entity controlled by a user driving behavior and a virtual traffic participation entity generated in the traffic simulation system interact and participate traffic simulation calculation together so as to realize cooperative simulation of a plurality of vehicle driving simulators and a plurality of traffic environment simulation servers in the same virtual traffic environment. The invention has the characteristics that: the traffic simulation system has a flexible structure, is convenient to expand, supports man-machine interaction and is high in simulation confidence, and the like; and the system can be used in the fields of traffic simulation and driving simulation and can provide a novel platform for research and application in the fields of driving behaviors, driving psychology, traffic safety, intelligent transportation, road and bridge design and the like.

The invention discloses a method and a device for simulating a time-varying traffic state of an urban express road network, and relates to the technical field of traffic, and the main purpose thereofis to reproduce the process of forming and dissipating traffic congestion of a road network, and at the same time, evaluate the implementation effect of traffic control measures. The method comprises:collecting road network information of an urban express road and coil inspection data of each section in the road network, and obtaining an all-day travel distribution table and a time-varying splitratio; determining a road section capacity of the road network according to the coil inspection data, and constructing a road network model of the an urban express road according to the road network information and the preset road network model building software; importing the road network model, the all-day travel distribution table, the time-varying split ratio, and the preset vehicle attributesinto the simulation software of the preset dynamics traffic simulation model, and inputting the traffic capacity to the road network attribute information of the road network model to construct a dynamic traffic simulation model of the urban express road. The invention is applicable to the simulation of the time-varying traffic state of the urban express road network.

The invention relates to a quick virtual testing method of an intelligent automobile. The method includes that a virtual testing environment is provided by integrating an intelligent automobile environment sensing planning decision-making module and a traffic simulation module, the environment sensing planning decision-making module of the intelligent automobile can quickly generate sensor information of the intelligent automobile and environment information of trees and weather, and the traffic simulation module can quickly generate control measure information of common vehicles and roads around the intelligent automobile. Information interconnection between the intelligent automobile environment sensing planning decision-making module and the traffic simulation module can be realized by virtue of a Simulink module tool in Matlab so as to quickly generate a complete testing environment including information of the intelligent automobile, information of the common vehicles around the intelligent automobile, road control measure information and the environment information like the trees and the weather in the virtual testing environment. In the virtual environment, influence of running state features of the intelligent automobile in a traffic system and planning decision-making behaviors of the intelligent automobile on surrounding vehicles under different environment sensing equipment and different planning decision-making modules can be quickly tested.