34 results about "Traffic simulator" patented technology

A traffic simulator for a cellular radio telecommunications network. The traffic simulator includes a function handler which generates a plurality of basic call functions performed by mobile stations (MSs) over an air interface link with the network. A sequence handler utilizes the basic functions to generate a plurality of call sequences, and a traffic mix handler utilizes the plurality of call sequences to generate an overall traffic mix. A MS handler includes a plurality of MS state machines for different types of MSs and a database of MS properties. The MS handler interfaces with the basic functions to generate realistic inputs to the sequence handler. A cells handler includes a database of cells in the network and parameters relating to radio conditions. The cells handler also interfaces with the basic functions to generate realistic inputs to the sequence handler. A traffic repository may inject recorded real mobile station traffic into the traffic mix. A connection manager sends the traffic mix to external network components, and a graphical user interface (GUI) enables an operator to interface with the traffic simulator and generate specified traffic scenarios.

According to one embodiment, a system is disclosed, which uses road parameters defining the road network and model parameters used as initial-value parameters, thereby performing traffic simulation by the microsimulation method. The system includes a traffic simulator and a display controller. The traffic simulator performs traffic simulation to predict a traffic condition on an object road of a road network. The display controller controls a display unit, displaying the result of the simulation. More precisely, the display controller displays a dynamic image showing the traffic condition of vehicles running on the road network, on the screen of the display unit, and changes the image in terms of pattern, in accordance with a display instruction.

The invention discloses an intersection signal timing control optimization method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of acquiring a state-action-reward sample set, wherein the state-action-reward sample set comprises state-action-reward sub-sample sets of at least one intersection; based on a neural network and the state-action-reward sample set, performing training to obtain a traffic state simulator; and on the basis of enhanced learning, the state-action-reward sample set and the traffic state simulator, performing training to obtain a signal timing control model. According to the method and the device, the traffic state simulator can be obtained by training based on a neural network model and the state-action-reward sample set, and the signal timing control model is obtained by training based on the traffic simulator and the enhanced learning. The problem that simulated data does not conform to actualtraffic conditions and is inaccurate due to collection or assumption of multiple traffic parameters in the prior art is solved, and the universality and flexibility are improved.

According to one aspect, an autonomous vehicle policy generation system may include a state input generator generating a set of attributes associated with an autonomous vehicle undergoing training, a traffic simulator simulating a simulation environment including the autonomous vehicle, a roadway associated with a number of lanes, and another vehicle within the simulation environment, a Q-masker determining a mask to be applied to a subset of a set of possible actions for the autonomous vehicle for a time interval, and an action generator exploring a remaining set of actions from the set of possible actions and determining an autonomous vehicle policy for the time interval based on the remaining set of actions and the set of attributes associated with the autonomous vehicle.

The invention provides a method for realizing a traffic simulator of a signal system, which can be applied under a testing environment. The method comprises the following steps: establishing a table; providing a train position report for an ATS system every period; providing train state information for the ATS system every period; providing a train incident for the ATS system when an incident happens; simulating the function of side track ATP in an actual system; and simulating an interlocking sub-system. In the invention, in order to solve the problem that a train automatic monitoring system is difficult to detect operating function and performance of the system under current laboratory conditions, the method for realizing the simulator which can simulate operation of ATP / ATO and the interlocking system is designed and is used for detect the train automatic monitoring system.

The invention relates to a method for achieving an interactive integration experimental platform of a microscopic traffic simulator and a driving simulator. Data of the driving simulator are imported into the microscopic traffic simulator to control an automobile in the microscopic traffic simulator, and the integration of the microscopic traffic simulator and the driving simulator is achieved. The method comprises the following steps: (1) building a traffic environment required by an experiment in the microscopic traffic simulator; (2) extracting driver operation data in the driving simulator; (3) enabling the driver operation data to be read and stored by the microscopic traffic simulator, changing operating parameters of a test automobile, enabling the test automobile to travel according to the operation of a driver, and enabling the other automobiles in the simulation environment to travel according to an inherent simulation strategy in the microscopic traffic simulator; and (4) extracting relevant data, and carrying out experimental evaluation. According to the method for achieving the interactive integration experimental platform of the microscopic traffic simulator and the driving simulator, good simulation can be carried out on real road traffic circulation states, a virtual experiment scene which is more real is provided for the drivers, applied range of the driving simulator is outstandingly improved, and reliability and accuracy of the driving simulation experiments are improved.

A dynamic RF matrix emulator uses digital switching to emulate the switching behavior of hundreds of wireless terminals. The emulator includes a switching matrix with channels formed between terminal pairs, digital front ends for coupling terminals digitally to the switching matrix, and a channel database having entries representing attenuation values which can be changed in time, the attenuation values correlated with movement of vehicles provided by a traffic simulator. Channel behavior is defined by temporal attenuation values obtained from the database. The digital switching is controlled through a digital communication protocol.

The invention relates to a BIM information and traffic simulation information integration system and an integration method thereof. According to the method, a BIM (building information model) on a building information platform is imported into a microscopic traffic simulator, a traffic simulation model is further constructed on the basis of the BIM, then traffic simulation information of the microscopic traffic simulator is exported to the BIM platform, and integration of BIM information and the traffic simulation information is realized. Through the system and the method, the BIM informationand the traffic information can be integrated, rapid model conversion between different software is realized, collaborative working of the software is brought into full play, complementation of advantages is realized, and design efficiency is improved.

Provided is a user interface for implementing a traffic communication-integrated simulation based on a vehicle communication system. The traffic communication-integrated system comprises a traffic simulator which performs a traffic simulation and calculates a link passage time of a vehicle; a communication simulator which performs a communication simulation and simulates a communication between a communication between vehicles and a communication between a vehicle and an infrastructure; and a user interface, wherein the user interface includes an interface server which provides a simulation platform interfacing in real time in a synchronous way the traffic simulator and the communication simulator; and a graphic user interface unit which outputs a result of the simulations.

The invention discloses a traffic signal lamp control method based on time distribution and reinforcement learning. The traffic signal lamp control method comprises the following steps: (1) configuring a simulated intersection environment and traffic flow data to a traffic simulator, and building an intelligent agent network; (2) an intelligent agent network generating the action of the next signal period according to the road condition state and transmitting the action to a traffic simulator to simulate one signal period; (3) storing the experience of the last signal period into a replay buffer; (4) sampling an experience from the replay buffer to train an intelligent agent network, judging whether the number of simulated steps reaches a preset value, and if not, returning to the step (2), otherwise, executing the next step; and (5) resetting the traffic simulator, testing the intelligent agent network, and performing traffic signal lamp control application after the test is finished.By adopting the traffic signal lamp control method of the invention, the traffic efficiency can be obviously improved, and the method can be more easily applied to actual roads.

A method for creating a traffic scenario in a virtual driving environment is provided. The method includes steps of: a traffic scenario-generating device, (a) on condition that driving data have been acquired which are created using previous traffic data corresponding to discrete traffic data extracted by a vision-based ADAS from a past driving video and detailed traffic data corresponding to sequential traffic data from sensors of data-collecting vehicles in a real driving environment, inputting the driving data into a scene analyzer to extract driving environment information and into a vehicle information extractor to extract vehicle status information on an ego vehicle, and generating sequential traffic logs according to a driving sequence; and (b) inputting the sequential traffic logs into a scenario augmentation network to augment the sequential traffic logs using critical events, and generate the traffic scenario, verifying the traffic scenario, and mapping the traffic scenario onto a traffic simulator.

The invention relates to a device for testing a packet-switched radio network. The device comprises a network traffic simulator for traffic in a radio access network; and a serving general packet radio service GPRS support node simulator connectable to a gateway GPRS support node for coupling the device to a service network. The device is connectable to a control computer for giving commands to the device. For testing packet-switched services, the device is connectable to a test computer, in which a user interface of a service is run on a given platform. A name server is connectable to the device, and a content server via the service network. The device is able to generate billing data records from traffic caused by the packet-switched service.

The invention relates to an integrated network experiment platform for achieving functional integration of a microcosmic traffic simulator and multiple driving simulators. According to the integrated network experiment platform for integrating the microcosmic traffic simulator with the multiple driving simulators, each driving simulator which serves as a branch control console detects and records driving behavior parameters of a corresponding driver and the state of a test car in real time and then sends the information to the microcosmic traffic simulator which serves as a main control console through the network communication protocol; after the information input each time is processed by the microcosmic traffic simulator, current traffic flow parameters are analyzed and calculated and then are fed back to each driving simulator; after the road network traffic flow parameters received by the driving simulators are visualized, the drivers can see vehicles near the test cars on the display screens of the driving simulators, and then the drivers can make driving decisions according to the provided information. The integrated network experiment platform for integrating the microcosmic traffic simulator with the multiple driving simulators has the advantages that limitation that a traditional driving simulator can only be used for studying driving behaviors of a single driver is broken through, and the study of the influence of the driving behaviors of multiple drivers or a specific group of drivers on the state of the whole traffic flow is available; due to the fact that the microcosmic traffic simulator is integrated with the multiple driving simulators, simulation of the traffic flow near each test car is more vivid, and the experimental capacity of the driving simulators to the traffic flow operation behaviors is obviously improved.

This traffic simulator is provided with a simulator engine unit for performing computation on the basis of a formula representing a movement model for a vehicle, a traffic volume calculation unit for calculating a generated traffic volume and a removed traffic volume on the basis of a given OD traffic volume, an estimated congestion length calculation unit for calculating (estimating) an estimated congestion length for each link on the basis of the calculated traffic volume thereof, an origin and destination generation unit for generating an origin traffic volume and an destination traffic volume to adjust the estimated congestion length on the basis of the difference between the estimated congestion length and the measured congestion length, a storage unit for storing predetermined information, and an evaluation condition setting unit for setting evaluation conditions for evaluating the traffic various quantities metrics.

The invention discloses a power assembly of a traffic simulator bearing platform for an unmanned test. The power assembly comprises a bearing platform power assembly and an executing mechanism installed on the bearing platform power assembly. The bearing platform power assembly is controlled to operate through a power control system; the bearing platform power assembly is composed of an assembly shell, two groups of driving motors, a speed reducing device and a braking device. The power output ends of the two groups of driving motors are connected with driving gears; the two sets of driving gears are symmetrically arranged in the assembly shell, the speed reducing device comprises an output gear movably installed between the two sets of driving gears and a coupler perpendicularly installedin the middle of the output gear, and the output gear is movably installed in the middle of the assembly shell and connected with the driving gears on the two sides in a meshed mode. The bearing platform power assembly designed by the invention can be matched with other mechanisms and can be mounted, so that various traffic participants such as simulated automobiles, simulated motorcycles, simulated bicycles, simulated pedestrians and the like are realized.

The invention provides a service traffic simulation method and device and a service traffic simulator. The scheme comprises the following steps: selecting at least one traffic packet needing to be sent as a target traffic packet; obtaining at least one physical network port to be subjected to packet sending; based on the obtained user instruction, obtaining the packet sending duration, the packet sending rate, the client starting IP address, the client ending IP address, the server starting IP address and the server ending IP address of the target traffic packet; and sending the target traffic packet based on the physical network port, the packet sending duration, the packet sending rate, the client starting IP address, the client ending IP address, the server starting IP address and the server ending IP address. In the scheme, after the target traffic packet is determined, the target traffic packet is bound to the physical network port for packet sending, the packet sending rule is acquired, and the packet is sent to the test object based on the packet sending rule, so that packet sending operation can be performed by adopting a plurality of physical network ports at the same time, and simultaneous execution of multiple tasks is realized.

The invention provides a traffic simulator bearing platform for an unmanned driving test and relates to the technical field of vehicle testing. The technical problem to be solved is traffic simulation. The traffic simulator bearing platform for unmanned driving test comprises a frame, a front wheel carrier, a rear wheel carrier and a bearing housing, wherein the front wheel carrier, the rear wheelcarrier and the bearing housing are mounted on the frame; a crossed roller bearing is arranged on the front wheel carrier; a steering cover is fixed on the inner ring of the crossed roller bearing; asteering motor used for driving the steering cover to rotate is arranged on the front wheel carrier; a front wheel axle is arranged on the inner ring of the crossed roller bearing; a front wheel is arranged on the front wheel axle; a front wheel driving motor is arranged on the steering cover; a rear wheel axle is arranged on the rear wheel carrier; a rear wheel is arranged on the rear wheel axle; a brake is arranged on the rear wheel carrier; a main controller used for controlling the steering motor, the front wheel driving motor and the brake to run is arranged on the frame; and a traffic simulator is arranged on the bearing housing. The traffic simulator bearing platform for unmanned driving test is suitable for traffic simulation participants in the unmanned driving test.

A traffic simulator for simulating a traffic state with high accuracy. An attention object searching section (60) searches for an attention object to which a driver should pay attention when driving a car. A recognition attention object selecting section (64) and a driver recognition object selecting section (68) both select an attention object recognized by the driver from the attention objects searched for according to driver's ability information preset by a data creating section (13). A movement determining section (42) determines the movement of a vehicle model according to the selected attention object.

The invention relates to a method for achieving an interactive integration experimental platform of a microscopic traffic simulator and a driving simulator. Data of the driving simulator are imported into the microscopic traffic simulator to control an automobile in the microscopic traffic simulator, and the integration of the microscopic traffic simulator and the driving simulator is achieved. The method comprises the following steps: (1) building a traffic environment required by an experiment in the microscopic traffic simulator; (2) extracting driver operation data in the driving simulator; (3) enabling the driver operation data to be read and stored by the microscopic traffic simulator, changing operating parameters of a test automobile, enabling the test automobile to travel according to the operation of a driver, and enabling the other automobiles in the simulation environment to travel according to an inherent simulation strategy in the microscopic traffic simulator; and (4) extracting relevant data, and carrying out experimental evaluation. According to the method for achieving the interactive integration experimental platform of the microscopic traffic simulator and the driving simulator, good simulation can be carried out on real road traffic circulation states, a virtual experiment scene which is more real is provided for the drivers, applied range of the driving simulator is outstandingly improved, and reliability and accuracy of the driving simulation experiments are improved.

The invention relates to an intelligent vehicle control strategy test platform for a mixed traffic flow working condition, which comprises a main control platform, and a switch, a main simulator and a plurality of traffic simulators which are respectively connected with the main control platform, and the main simulator and the plurality of traffic simulators are respectively connected with the main control platform through the switch, the level of the intelligent driving algorithm carried by the main simulator is one of L1, L2, L3, L4 and L5 level automatic driving algorithms, and the level of the intelligent driving algorithm carried by each traffic simulator is one of L0, L1, L2, L3, L4 and L5 level automatic driving algorithms. Compared with the prior art, the test platform provided by the invention utilizes the main simulator and the plurality of independently controlled traffic simulators, can perform effective analogue simulation and test on the condition that vehicles with various intelligent degrees run in the same traffic scene, and obtains rich test data.

The invention discloses an intersection signal timing control optimization method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of acquiring a state-action-reward sample set, wherein the state-action-reward sample set comprises state-action-reward sub-sample sets of at least one intersection; based on a neural network and the state-action-reward sample set, performing training to obtain a traffic state simulator; and on the basis of enhanced learning, the state-action-reward sample set and the traffic state simulator, performing training to obtain a signal timing control model. According to the method and the device, the traffic state simulator can be obtained by training based on a neural network model and the state-action-reward sample set, and the signal timing control model is obtained by training based on the traffic simulator and the enhanced learning. The problem that simulated data does not conform to actualtraffic conditions and is inaccurate due to collection or assumption of multiple traffic parameters in the prior art is solved, and the universality and flexibility are improved.

The invention discloses a traffic signal lamp control method based on time distribution and reinforcement learning. The traffic signal lamp control method comprises the following steps: (1) configuring a simulated intersection environment and traffic flow data to a traffic simulator, and building an intelligent agent network; (2) an intelligent agent network generating the action of the next signal period according to the road condition state and transmitting the action to a traffic simulator to simulate one signal period; (3) storing the experience of the last signal period into a replay buffer; (4) sampling an experience from the replay buffer to train an intelligent agent network, judging whether the number of simulated steps reaches a preset value, and if not, returning to the step (2), otherwise, executing the next step; and (5) resetting the traffic simulator, testing the intelligent agent network, and performing traffic signal lamp control application after the test is finished.By adopting the traffic signal lamp control method of the invention, the traffic efficiency can be obviously improved, and the method can be more easily applied to actual roads.

Embodiments of the present invention provide a vehicle monitoring method, device, and storage medium, the method including: acquiring the origin, destination, departure time, and arrival time of the target vehicle; Input the target traffic simulator and arrival time into the target traffic simulator to obtain the driving trajectory of the target vehicle. The target traffic simulator is obtained by intensive training based on the traffic flow information collected by the road monitoring system. The driving trajectory includes the road monitoring system monitoring section and the non-monitoring section driving track. By implementing the embodiment of the present invention, the specific driving track of the vehicle can be determined.

The invention relates to an integrated network experiment platform for realizing the functional integration of a microscopic traffic simulator and multiple driving simulators. Each driving simulator acts as a sub-console to detect and record the driver's driving behavior parameters and the state of the experimental vehicle in real time, and regularly sends the above information to the main console micro-traffic simulator through the network communication protocol; After the information is processed, the current traffic flow parameters are analyzed and calculated and returned to each driving simulator; after the driving simulator processes the received road network traffic flow parameter information into images, the driver can see it on the display screen of the driving simulator. To the vehicles near the experimental vehicle for the driver to make driving decisions. This platform breaks through the constraints that traditional driving simulators can only study individual driving behaviors, and makes it possible to study the influence of multiple people or a certain group of driving behaviors on the overall traffic flow state; The traffic flow simulation is more realistic, which significantly improves the driving simulator's ability to experiment with traffic flow behavior.

The embodiment of the invention provides a vehicle monitoring method and device and a storage medium. The method comprises the steps of obtaining a starting place, a destination, starting time and arrival time of a target vehicle; inputting the starting place, the destination, the starting time and the arrival time of the target vehicle into a target traffic simulator to obtain target vehicle driving track; wherein a target traffic simulator is obtained by adopting reward strategy intensive training according to the traffic flow information collected by the road monitoring system, and the driving track comprises the driving track of a road section monitored by the road monitoring system and the driving track of a road section not monitored by the road monitoring system. By implementing theembodiment of the invention, the specific driving track of the vehicle can be determined.