CN113378413B - Simulation road network platform building system, method, equipment and storage medium based on Vissim - Google Patents
Simulation road network platform building system, method, equipment and storage medium based on Vissim Download PDFInfo
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Abstract
The invention relates to a simulation road network platform of an urban central area, in particular to a simulation road network platform system, a simulation road network platform method, a simulation road network platform device and a storage medium which are constructed based on Vissim, belonging to the field of vehicle-road collaborative simulation; the method aims to solve the problem that the simulation requirement for acquiring data of vehicles, signals and the like in simulation in real time and interacting in the simulation application field of urban central area facing to Internet of vehicles and the like cannot be met at present, a simulation road network platform is constructed based on Vissim and comprises road networks, signals, traffic requirements and the like, the development is carried out in a Vissim Com interface mode by adopting Python language, the data of the road networks, the vehicles, the signals and the like of a simulation system are packaged according to a road side unit RSU and a vehicle mounted unit OBU data model, and the data are provided for algorithm and vehicle road cooperative application test verification in an RPC communication architecture mode; the traffic model parameters are corrected through the section flow and the road section speed, the accuracy, the timeliness and the interactivity of the application simulation scene are improved, and the universality of the platform is improved through algorithm test verification.
Description
Technical Field
The invention relates to a virtual reality-based urban center simulation road network platform, in particular to a system, a method, equipment and a storage medium for constructing a simulation road network platform based on the virtual reality, and belongs to the field of vehicle and road collaborative simulation.
Background
With the development of the car networking technology, the requirement for city center simulation is urgent due to the limitation of conditions for testing the real car in the city center. The method is mainly used for decision making, business support and the like of traffic planning design, is oriented to traffic planning and decision making directions, and cannot meet the simulation requirement of real-time acquisition and interaction of data of vehicles, signals and the like in simulation in the urban central area simulation application field oriented to vehicle networking and the like.
The method for constructing the car networking simulation platform integrating the Vissim and the Python for the Yao flood control, wherein the Python is a main control program and is used for acquiring various traffic information in the Vissim through communicating with a Vissim COM interface; then, various traffic control algorithms and optimization models are realized based on the information; and finally, the optimization result is fed back to the Vissim through a Vissim COM interface, so that the control of the object in the Vissim is realized, a practical method for constructing a road network in a central area of a city is lacked, and the openness and the universality of the application facing the Internet of vehicles are insufficient.
Disclosure of Invention
In order to solve the problems that the prior art cannot meet the simulation requirement for obtaining vehicles and signal data in simulation in real time and interaction, and the problems of lack of a practical method for building a road network of an urban central area and insufficient openness and universality of the application of the road network, the invention provides a simulation road network platform system, method, equipment and storage medium based on Vissim.
The first scheme is as follows: constructing a simulation road network platform system based on Vissim, wherein the simulation road network platform system is constructed by using a Vissim tool and comprises a data collection preparation module, a simulation platform construction module and a parameter correction module;
the data collection preparation module is responsible for collecting traffic data and initializing information, and transmitting the information to the simulation platform building module in a service layer RPC communication architecture mode;
the simulation platform building module is responsible for building a data model to convert data into messages and is connected to the parameter correction module in a service layer RPC communication architecture mode;
and the parameter correction module is used for checking the message and completing the construction of the simulation road network platform based on Vissim.
Further, the traffic data comprises traffic network data, traffic demand data and traffic control data; the parameter correction module is used for checking information, including section flow checking and road section speed checking.
Further, the data model comprises a Road Side Unit (RSU) and a vehicle-mounted unit (OBU), and the messages comprise basic safety messages, road side information, road side safety messages, traffic light phase and timing sequence messages and map messages by adopting a V2X application layer standard.
Scheme II: the method is realized based on the system, and firstly, road network, signal and traffic demand information are collected; secondly, developing by adopting Python language through a Vissim Com interface mode; packaging the road network, the vehicle and the signal data of the simulation system according to the road side unit RSU and the vehicle-mounted unit OBU data model; finally, outputting the data to subsequent vehicle road cooperative application and algorithm test verification in a service layer RPC communication architecture mode;
the method comprises the following specific steps:
step one, constructing a road network by a Vissim tool;
step two, implementing a communication framework by adopting a service layer RPC framework mode;
establishing a data model of a road side unit RSU and a vehicle-mounted unit OBU, and completing platform foundation module definition;
step four, constructing a main service program of the simulation road network platform of the urban central area;
and fifthly, aiming at the intersection where the simulation scene is applied in the urban center, applying a vehicle speed guiding algorithm and a signal priority algorithm to complete the process of constructing the simulation road network platform.
Further, in step one, the core is a process of calculating the Vissim saturation flow rate, and the steps are detailed as follows:
the method comprises the steps of preparing data, acquiring CAD drawings of a simulation road network of a central area of a city,
step two, acquiring traffic demands;
inputting traffic control data into the position of a traffic control facility and a signal timing scheme;
and step four, selecting a parameter correction index, and correcting the core parameter of the following model to obtain the Vissim saturation flow rate.
Further, in step four, the main service program flow is subdivided into the following steps:
initializing, selecting a scene and configuring relevant parameters including current traffic volume and signal data;
acquiring data in the simulation scene, including intersection data, vehicles and signals, and converting the data into data formats of a Road Side Unit (RSU) and a vehicle-mounted unit (OBU);
step four, controlling the vehicle and the signal in the simulation scene according to the algorithm test application;
and fourthly, outputting an evaluation result.
Further, in the fifth step, the vehicle speed guidance algorithm firstly sets an intersection Node1004 timing scheme in a simulation scene; and secondly, controlling the speed of the vehicle entering the intersection range and controlled by the vehicle speed guiding algorithm according to different permeabilities, and finally testing the vehicle speed guiding algorithm and judging the influence of the vehicle speed guiding algorithm on the intersection in the application simulation scene of the urban central area.
Further, in step five, the signal priority algorithm is specifically subdivided into:
fifthly, configuring a simulation scene;
step two, obtaining vehicle information and bus stop information of a specific bus route in a road network;
and step three, updating the timing scheme, and controlling each signal lamp group at the intersection according to the timing scheme and time.
The third scheme is as follows: the simulation road network platform building device based on Vissim comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the step of the simulation road network platform building method based on Vissim when executing the computer program.
And the scheme is as follows: a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the Vissim-based construction of a simulated road network platform system and method.
The invention has the beneficial effects that:
(1) the urban center simulation road network platform built by Vissim can provide a building scheme and a test platform of simulation test for the Internet of vehicles and automatic driving test; through data and interface packaging design, a new idea is provided for testing uniformity.
(2) The urban central area simulation road network is built through the construction drawing based on Vissim, and the traffic model parameters are corrected by taking the section flow and the road speed as correction indexes, so that the accuracy, the timeliness and the real-time feedback interactivity of the application simulation scene are improved.
(3) The information encapsulation modeling based on the road side unit RSU and the on-board unit OBU of the road facility encapsulates data of the simulation system in the form of the RSU and the on-board OBU through the Vissim COM interface, the interface is expanded, algorithm testing and verification are facilitated, and the universality of the platform is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a flow chart of a simulation road network system platform;
FIG. 2 is a general diagram of a simulated road network of a city central area built by Vissim;
FIG. 3 is a CAD background map imported into Vissim;
FIG. 4 is a schematic view of a window of a newly-built road section;
FIG. 5 is a schematic view of a newly constructed connector window;
FIG. 6 is an exemplary illustration of a pathway intersection;
FIG. 7 is a graph of saturated flow rate simulation analysis trend;
FIG. 8 is a block diagram of a simulated road network platform communication architecture;
FIG. 9 is a schematic flow chart of a main service routine;
FIG. 10 is a schematic diagram of a generated node1004 signal light group;
fig. 11 shows the intention of the generated node1004 signal timing.
Detailed Description
Exemplary embodiments of the present disclosure are described in more detail by referring to the accompanying drawings. While exemplary embodiments are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these examples are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the technology to those skilled in the art.
The first embodiment is as follows: the simulation road network platform system is constructed based on Vissim, the general research idea is shown in figure 1, and the simulation road network platform system is constructed by using a Vissim tool and comprises a data collection preparation module, a construction simulation module and a parameter correction module; the collected traffic data comprises traffic network data, traffic demand data and traffic control data; the parameter correction module is used for checking information, including section flow checking and road section speed checking; the established data model comprises an RSU and an OBU, a V2X application layer standard is adopted, and the traffic message comprises a basic safety message, road side information, road side safety message, traffic light phase and time sequence message and a map message;
the data collection preparation module is responsible for collecting traffic data and initializing information; transmitting information to the simulation building module in an RPC communication architecture mode; and the construction simulation module is responsible for constructing a data model to convert data into messages, and the message is checked by the parameter correction module connected and arranged in an RPC communication architecture mode, so that the construction of the simulation road network platform system based on Vissim is completed.
The second embodiment is as follows: the simulation road network platform is constructed based on Vissim and comprises a road network, signals, traffic demands (early peak, flat peak, late peak) and the like, secondary development is carried out by adopting Python language through a Vissim Comm interface mode, road network, vehicles, signals and other data of a simulation system are packaged according to road side unit (RBU) and vehicle mounted unit (OSU) data models, and algorithm and vehicle and road cooperative application test verification is provided through an RPC communication architecture mode.
1. Road network construction:
the simulation road network construction is as shown in fig. 2, and is divided into data preparation, including CAD drawings of the simulation road network such as fig. 3 (a road network base map of a central area of a certain city is a construction design drawing), initial requirements of traffic requirements OD (OD refers to investigation, namely traffic start and stop point investigation, also called OD traffic volume investigation), traffic control data (positions of traffic control facilities and signal timing schemes), parameter correction index selection, and model parameter correction.
In Vissim, the basic elements of a road network are road segments, which may have one or more lanes in one direction, connected by connectors and form a road network of segments, through which traffic may pass from one road segment to another, newly created road segments as shown in fig. 4, newly created connectors as shown in fig. 5, and created intersections as shown in fig. 6.
The Vissim saturation flow rate is determined based on the two core parameters bx _ add and bx _ mult in the follow model, where the value of bx _ mult is typically equal to bx _ add plus 1, and the characteristic traffic environment. The two parameters reflect the following expected safe following distance bx between the vehicles in the following state:
bx _ add (additive Part of Desired Safety distance) is the sum of the expected safe distance of the vehicle; bx _ mult (Multiplic. Part of Desired Safety Distance) is a multiplier term for the Desired safe Distance of the vehicle; z is a coefficient that obeys a positive-Taiwan distribution; v is the vehicle running speed.
The greater the bx _ add value, the greater the expected safe distance the vehicle will maintain in a following condition, resulting in a corresponding decrease in saturation flow rate, which is analyzed in VISSIM official manual by simulation analysis of the saturation flow rate parameter as shown in fig. 7:
wherein the default setting of Vissim is that the bx _ add parameter is 3.00, the bx _ mult parameter is 2.00, the bx _ add value is comprehensively determined to be 3.75, and the bx _ mult value is 2.75.
2. Communication architecture:
a gRPC frame is adopted, a simulation system is used as a server end, an algorithm test is used as a Client end for access, and a simulation network platform communication framework is shown in figure 8.
3. A platform foundation module:
3.1 data model definition about RSU and OBU;
the V2X application layer standard, namely the application layer and the application layer data interaction standard of the vehicle communication system of the cooperative intelligent transportation system, forms a group standard with double labels (T/CSAE 53-2017 and T/ITS 0058 plus 2017) by relying on the Chinese intelligent networking automobile industry innovation alliance and the Chinese intelligent transportation industry alliance, and the data model defines five messages BSM (basic safety message), RSI (roadside information), RSM (roadside safety message), SPAT (traffic light phase and time sequence message) and MAP (MAP message) by adopting the V2X application layer standard.
The RSU and OBU data models are mainly based on VISSIM to acquire data and convert into five messages.
4. Main service program flow:
the main service program flow of the simulated road network platform in the urban center area is shown in fig. 9.
And 2, acquiring data in the simulation scene, such as intersection data, vehicles and signals, and converting the data into RSU data and OBU data.
And 3, controlling the vehicle and the signal in the simulation scene according to the algorithm test application.
And 4, outputting an evaluation result.
4. Typical scenario applications:
4.1 vehicle speed guidance:
1) the intersection Node1004 timing scheme in the simulation scene is shown in fig. 10 and fig. 11.
2) According to different permeabilities, the speed of the vehicle entering the intersection range and controlled by the vehicle speed guiding algorithm is controlled, so that the relevant indexes of the intersection are influenced, input data are provided for the vehicle speed guiding algorithm, the vehicle speed guiding algorithm is tested, and the influence of the algorithm on the intersection is judged.
TABLE 1 Single intersection vehicle speed guidance
| Permeability (%) | Queue length (m) | Delay time (service level)(s) for vehicle | Average number of |
| 20 | 22.87 | 45.57 | 1.22 |
| 40 | 22.63 | 45.05 | 1.12 |
| 60 | 26.15 | 46.65 | 1.16 |
| 80 | 21.16 | 44.24 | 1.15 |
| 100 | 24.55 | 46.31 | 1.34 |
4.2 Signal priority:
through different simulation scenes, data such as vehicles, road networks, signals and the like required by the algorithm are obtained, the signals in the simulation platform are controlled, and an evaluation result is obtained, so that the improved algorithm is tested.
1) only one bus route M390 is arranged in the road network, and the traffic flow is default
2) M390 bidirectional bus lines in a road network and traffic flow is default.
obtaining the information of the specific bus route (route Id, the first bus departure sequence, distance from the starting point of the route)
Acquiring bus stop information (link _ lane _ id, arrival bus time)
and acquiring a new timing scheme calculated by the algorithm, and controlling each signal lamp group of the intersection according to the timing scheme and time.
The embodiment builds the urban center simulation road network through Vissim, provides a practical method for quickly building the urban center simulation road network facing the Internet of vehicles application, uses the Vissim COM interface for secondary development, builds the data models of the road side unit RSU and the vehicle-mounted unit OBU, and encapsulates the data facing the intersection and the vehicle, thereby expanding and simplifying the application, and facilitating the application of related algorithms such as the Internet of vehicles and the like to the urban center simulation test verification.
The third concrete implementation mode: the present embodiments may be provided as a method, system, or computer program product by those skilled in the art using the systems and methods mentioned in the foregoing embodiments. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects, or a combination of both. Furthermore, the present embodiments may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
A flowchart or block diagram of a method, apparatus (system), and computer program product according to the present embodiments is depicted. It will be understood that each flow or block of the flowchart illustrations or block diagrams, and combinations of flows or blocks in the flowchart illustrations or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows, or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (7)
1. The method for constructing the simulation road network platform based on the Vissim comprises the steps of constructing a simulation road network platform system based on the Vissim, wherein the system is constructed by using a Vissim tool and comprises a data collection preparation module, a simulation platform construction module and a parameter correction module;
the data collection preparation module is responsible for collecting traffic data and initializing information, and transmitting the information to the simulation platform building module in a service layer RPC communication architecture mode;
the simulation platform building module is responsible for building a data model to convert data into messages and is connected to the parameter correction module in a service layer RPC communication architecture mode;
the parameter correction module is used for checking the message and completing the construction of a simulation road network platform based on Vissim;
the method is characterized in that: the method is realized based on the system, and firstly, road network, signal and traffic demand information are collected; secondly, developing by adopting Python language through a Vissim Com interface mode; packaging the road network, the vehicle and the signal data of the simulation system according to the road side unit RSU and the vehicle-mounted unit OBU data model; finally, outputting the data to subsequent vehicle road cooperative application and algorithm test verification in a service layer RPC communication architecture mode;
the method comprises the following specific steps:
step one, constructing a road network by a Vissim tool;
step two, implementing a communication framework by adopting a service layer RPC framework mode;
establishing a data model of a road side unit RSU and a vehicle-mounted unit OBU, and completing platform foundation module definition;
step four, constructing a main service program of the simulation road network platform of the urban central area;
and fifthly, aiming at the intersection where the simulation scene is applied in the urban center, applying a vehicle speed guiding algorithm and a signal priority algorithm to complete the process of constructing the simulation road network platform.
2. The method for constructing a simulation road network platform based on Vissim according to claim 1, wherein: in the first step, the core is the process of calculating the Vissim saturation flow rate, and the steps are detailed as follows:
the method comprises the steps of preparing data, acquiring CAD drawings of a simulation road network of a central area of a city,
step two, acquiring traffic demands;
inputting traffic control data into the position of a traffic control facility and a signal timing scheme;
and step four, selecting a parameter correction index, and correcting the core parameter of the following model to obtain the Vissim saturation flow rate.
3. The method for constructing a simulation road network platform based on Vissim according to claim 2, wherein: in the fourth step, the step of constructing the main service program of the simulation road network platform of the urban central area is detailed as follows:
initializing, selecting a scene and configuring relevant parameters including current traffic volume and signal data;
acquiring data in the simulation scene, including intersection data, vehicles and signals, and converting the data into data formats of a Road Side Unit (RSU) and a vehicle-mounted unit (OBU);
step four, controlling the vehicle and the signal in the simulation scene according to the algorithm test application;
and fourthly, outputting an evaluation result.
4. The method for constructing a simulation road network platform based on Vissim according to claim 3, wherein: in the fifth step, the vehicle speed guiding algorithm firstly sets an intersection Node1004 timing scheme in a simulation scene; and secondly, controlling the speed of the vehicle entering the intersection range and controlled by the vehicle speed guiding algorithm according to different permeabilities, and finally testing the vehicle speed guiding algorithm and judging the influence of the vehicle speed guiding algorithm on the intersection in the application simulation scene of the urban central area.
5. The method for constructing a simulation road network platform based on Vissim according to claim 3, wherein: in the fifth step, the signal priority algorithm is detailed as follows:
fifthly, configuring a simulation scene;
step two, obtaining vehicle information and bus stop information of a specific bus route in a road network;
and step three, updating the timing scheme, and controlling each signal lamp group at the intersection according to the timing scheme and time.
6. Simulation road network platform equipment is established based on Vissim, its characterized in that: the method comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method for constructing the simulation road network platform based on the Vissim according to any one of the claims 1 to 5 when executing the computer program.
7. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the method for constructing a simulation road network platform based on Vissim according to any one of claims 1 to 5.
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| CN115116231B (en) * | 2022-08-26 | 2023-02-03 | 深圳市城市交通规划设计研究中心股份有限公司 | Vehicle-road cooperative microscopic simulation system and method, electronic device and storage medium |
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| CN115544599B (en) * | 2022-11-22 | 2023-05-16 | 深圳市城市交通规划设计研究中心股份有限公司 | Parameter checking and calibrating method based on traffic simulation model |
| CN115685787B (en) * | 2023-01-04 | 2023-02-28 | 北京云庐科技有限公司 | Modeling simulation method, modeling simulation system and medium for urban gas pipe network |
| CN116187101B (en) * | 2023-04-26 | 2023-07-04 | 深圳佑驾创新科技有限公司 | Verification method for constructing EHP (Ethernet Passive optical network) based on Prescan |
| CN116306037B (en) * | 2023-05-19 | 2023-10-20 | 深圳市城市交通规划设计研究中心股份有限公司 | Method for calculating pedestrian crossing time at intersection, electronic equipment and storage medium |
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