WO2020207308A1 - 交通仿真方法、装置、电子设备及计算机可读存储介质 - Google Patents

交通仿真方法、装置、电子设备及计算机可读存储介质 Download PDF

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Publication number
WO2020207308A1
WO2020207308A1 PCT/CN2020/082682 CN2020082682W WO2020207308A1 WO 2020207308 A1 WO2020207308 A1 WO 2020207308A1 CN 2020082682 W CN2020082682 W CN 2020082682W WO 2020207308 A1 WO2020207308 A1 WO 2020207308A1
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Prior art keywords
traffic
traffic simulation
simulation
road
data
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French (fr)
Inventor
代卓贤
崔衡
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Priority to SG11202111069XA priority Critical patent/SG11202111069XA/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled

Definitions

  • the embodiments of the present invention relate to the field of data simulation technology, and in particular to a traffic simulation method, device, electronic equipment, and computer-readable storage medium.
  • the dynamic traffic data of an individual or several individuals in the agent is related to multiple simulation computing nodes, that is, When the traffic behavior of an individual or several individuals in the agent spans multiple simulation computing nodes, it is difficult for the system to accurately calculate and simulate the agent’s dynamic traffic data in real time due to the huge amount of communication data between the simulation computing nodes Therefore, whenever a startup time is triggered, the simulation system based on agent mode will traverse all agents to update their status, resulting in a decrease in simulation performance. Moreover, since the agent mode focuses on vehicles, it cannot solve road network maintenance. The problem of dynamic road network data update, so it is only applicable to static road network, can not solve the problem of road network information upgrade, and cannot meet the needs of large-scale traffic simulation.
  • the embodiments of the present invention provide a traffic simulation method, device, electronic equipment, and computer-readable storage medium.
  • an embodiment of the present invention provides a traffic simulation method.
  • the traffic simulation method includes:
  • traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • the performing road-based traffic simulation according to the traffic simulation initialization data includes:
  • the performing road-based traffic simulation according to the traffic simulation initialization data further includes:
  • the traffic simulation data related to the mobile object moving to the next connecting traffic area is sent to the connecting traffic simulation calculation node.
  • the output traffic simulation result is implemented as:
  • the traffic simulation result is output according to the preset simulation time interval.
  • the The simulation time interval outputs traffic simulation results, including:
  • the present disclosure In the fifth implementation of the aspect, it also includes:
  • the traffic area road attribute information and the related traffic area road data in the traffic simulation calculation node are updated based on the traffic area road update information.
  • the present disclosure also includes:
  • Time alignment management is performed on the traffic simulation calculation node.
  • the present disclosure further includes: executing at least one of the following according to the traffic simulation result:
  • Traffic facilities control dynamic variable lane setting, traffic guidance, traffic flow restriction, or adjustment of navigation data.
  • an embodiment of the present invention provides a traffic simulation device.
  • the traffic simulation device includes:
  • the acquiring module is configured to acquire traffic simulation initialization data, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • a simulation module configured to perform road-based traffic simulation according to the traffic simulation initialization data
  • the output module is configured to output traffic simulation results.
  • the simulation module includes:
  • the determining sub-module is configured to determine the traffic simulation calculation node
  • the first obtaining submodule is configured to obtain road attribute information, moving object attribute information, and moving object travel information of the traffic area corresponding to the traffic simulation calculation node;
  • the simulation sub-module is configured to determine a traffic simulation model, and use the traffic simulation model to perform node parallel traffic simulation based on the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object.
  • the simulation module further includes:
  • the second acquiring submodule is configured to, in response to detecting that the moving object leaves the traffic area corresponding to the preset traffic simulation computing node, acquire the attributes of the connecting traffic simulation computing node corresponding to the next connecting traffic area in the moving direction of the moving object information;
  • the establishment sub-module is configured to establish communication between the preset traffic simulation calculation node and the connection traffic simulation calculation node according to the attribute information of the connection traffic simulation calculation node;
  • the sending submodule is configured to send traffic simulation data related to the mobile object moving to the next connecting traffic area to the connecting traffic simulation calculation node.
  • the output module is configured as:
  • the traffic simulation result is output according to the preset simulation time interval.
  • the output modules include:
  • the collecting sub-module is configured to collect traffic simulation data generated by the traffic simulation calculation node in response to the end of the preset simulation time interval to obtain a traffic simulation data packet;
  • the processing sub-module is configured to perform preset aggregation processing on the traffic simulation data packet to obtain a traffic simulation result.
  • the update module is configured to, in response to receiving the traffic area road update information, update the traffic area road attribute information and the relevant traffic area road data in the traffic simulation calculation node based on the traffic area road update information.
  • the present disclosure further includes:
  • the management module is configured to perform time alignment management on the traffic simulation calculation node.
  • the present disclosure further includes:
  • the execution module is configured to execute at least one of the following according to the traffic simulation result:
  • Traffic facilities control dynamic variable lane setting, traffic guidance, traffic flow restriction, or adjustment of navigation data.
  • an embodiment of the present invention provides a traffic simulation system.
  • the traffic simulation system includes:
  • the memory is configured to store and update the traffic simulation initialization data and provide corresponding requested data in response to the data acquisition request, wherein the traffic simulation initialization data includes one or more of the following information: road attribute information, moving objects Attribute information, travel information of moving objects;
  • a traffic simulation calculation cluster connected to the memory, is configured to perform road-based traffic simulation according to the traffic simulation initialization data, wherein the traffic simulation calculation cluster includes two or more traffic simulation calculation nodes;
  • the aggregation server is connected to the traffic simulation calculation cluster and is configured to aggregate the traffic simulation data of the traffic simulation calculation cluster and output a traffic simulation result.
  • the two or more traffic simulation calculation nodes perform partitioned parallel simulation for corresponding traffic areas.
  • the traffic simulation calculation node is further configured as:
  • the traffic simulation data related to the mobile object moving to the next connecting traffic area is sent to the connecting traffic simulation calculation node.
  • the memory includes:
  • the name server is configured to store the road attribute information
  • the simulation memory is configured to store the attribute information of the moving object and the travel information of the moving object.
  • the name server is the master and slave backup server.
  • the memory is further configured to: in response to receiving road update information, update the road attribute information based on the road update information;
  • the traffic simulation calculation node is further configured to: in response to receiving the road update information, update the road data of the relevant traffic area based on the road update information.
  • the aggregation server is further configured to output traffic simulation results according to a preset simulation time interval.
  • the aggregation server is configured as:
  • the present disclosure further includes:
  • the clock synchronization server is connected to the traffic simulation calculation cluster and/or the aggregation server, and is configured to perform time alignment management on the data in the traffic simulation calculation node and/or the aggregation server.
  • an embodiment of the present invention provides an electronic device, including a memory and a processor, the memory is used to store one or more computer instructions that support the traffic simulation device to execute the traffic simulation method in the first aspect, the The processor is configured to execute computer instructions stored in the memory.
  • the traffic simulation device may also include a communication interface for the traffic simulation device to communicate with other equipment or a communication network.
  • an embodiment of the present invention provides a computer-readable storage medium for storing computer instructions used by a traffic simulation device, which includes a computer used to execute the traffic simulation method in the first aspect as the traffic simulation device. instruction.
  • the above technical solution uses roads as simulation objects of traffic simulation and outputs traffic simulation results.
  • This technical solution does not depend on individuals, only pays attention to road conditions, and realizes the simulation of traffic flow changes by means of message transfer between roads.
  • the changes in road attributes can also be updated at the lowest cost, which can well solve the problem of road network maintenance.
  • Dynamic road network data update and road network information upgrade problems can meet the needs of large-scale traffic simulation, and provide timely and reliable data support for effectively alleviating traffic pressure and controlling traffic conditions.
  • Fig. 1 shows a flowchart of a traffic simulation method according to an embodiment of the present invention
  • FIG. 2 shows a flowchart of step S102 of the traffic simulation method according to the embodiment shown in FIG. 1;
  • FIG. 3 shows a flowchart of step S102 of the traffic simulation method according to another embodiment shown in FIG. 1;
  • FIG. 4 shows a flowchart of step S103 of the traffic simulation method according to the embodiment shown in FIG. 1;
  • FIG. 5 shows a flowchart of a traffic simulation method according to another embodiment of the present invention.
  • Fig. 6 shows a flowchart of a traffic simulation method according to another embodiment of the present invention.
  • FIG. 7 shows a flowchart of a traffic simulation method according to still another embodiment of the present invention.
  • Fig. 8 shows a structural block diagram of a traffic simulation device according to an embodiment of the present invention.
  • FIG. 9 shows a structural block diagram of the simulation module 802 of the traffic simulation device according to the embodiment shown in FIG. 8;
  • FIG. 10 shows a structural block diagram of a simulation module 802 of a traffic simulation device according to another embodiment shown in FIG. 8;
  • FIG. 11 shows a structural block diagram of the output module 803 of the traffic simulation device according to the embodiment shown in FIG. 8;
  • FIG. 12 shows a structural block diagram of a traffic simulation device according to another embodiment of the present invention.
  • FIG. 13 shows a structural block diagram of a traffic simulation device according to another embodiment of the present invention.
  • FIG. 14 shows a structural block diagram of a traffic simulation device according to still another embodiment of the present invention.
  • FIG. 15 shows a structural block diagram of a traffic simulation system according to an embodiment of the present invention.
  • FIG. 16 shows a structural block diagram of the memory 1501 of the traffic simulation system according to the embodiment shown in FIG. 15;
  • FIG. 17 shows a structural block diagram of an electronic device according to an embodiment of the present invention.
  • FIG. 18 is a schematic structural diagram of a computer system suitable for implementing a traffic simulation method according to an embodiment of the present invention.
  • the technical solution provided by the embodiment of the present invention uses a road as a simulation object of a traffic simulation, and outputs a traffic simulation result.
  • This technical solution does not depend on individuals, only pays attention to road conditions, and realizes the simulation of traffic flow changes by means of message transfer between roads.
  • the changes in road attributes can also be updated at the lowest cost, which can well solve the problem of road network maintenance. Dynamic road network data update and road network information upgrade problems can meet the needs of large-scale traffic simulation, and provide timely and reliable data support for effectively alleviating traffic pressure and controlling traffic conditions.
  • Fig. 1 shows a flowchart of a traffic simulation method according to an embodiment of the present invention. As shown in Fig. 1, the traffic simulation method includes the following steps S101-S103:
  • step S101 traffic simulation initialization data is obtained, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • step S102 a road-based traffic simulation is performed according to the traffic simulation initialization data
  • step S103 the traffic simulation result is output.
  • the dynamic traffic data of an individual or several individuals in the agent is related to multiple simulation computing nodes, that is, When the traffic behavior of an individual or several individuals in the agent spans multiple simulation computing nodes, it is difficult for the system to accurately calculate and simulate the agent’s dynamic traffic data in real time due to the huge amount of communication data between the simulation computing nodes Therefore, whenever a startup time is triggered, the simulation system based on agent mode will traverse all agents to update their status, resulting in a decrease in simulation performance. Moreover, since the agent mode focuses on vehicles, it cannot solve road network maintenance. The problem of dynamic road network data update, so it is only applicable to static road network, can not solve the problem of road network information upgrade, and cannot meet the needs of large-scale traffic simulation.
  • a traffic simulation method uses roads as the simulation object of traffic simulation and outputs the traffic simulation results.
  • This technical solution does not depend on individuals, only pays attention to road conditions, and realizes the simulation of traffic flow changes by means of message transfer between roads.
  • the changes in road attributes can also be updated at the lowest cost, which can well solve the problem of road network maintenance. Dynamic road network data update and road network information upgrade issues can meet the needs of large-scale traffic simulation.
  • the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information, where the road attribute information Including one or more of the following information: the traffic area to which the road belongs, the connectivity between the roads, the length of the road, the starting and ending positions of the road, the road shape, the number of feasible lanes on the road, the maximum number of vehicles that can be carried on the road, Average speed of roads, etc., where each road belongs to a specific traffic area, and roads in different traffic areas do not cross; the moving object attribute information includes one or more of the following information: moving object category, moving object Average speed, maximum speed of moving objects, etc., where the categories of moving objects may include heavy motor vehicles, medium motor vehicles, small motor vehicles, three-wheel electric vehicles, two-wheel electric vehicles, three-wheel rickshaws, bicycles, pedestrians, etc.
  • the travel information of the mobile object includes one or more of the following information: the departure place of the mobile object, the destination of the mobile object, the average speed of the
  • the traffic area may be a virtual geographic area determined by administrative divisions or according to regional traffic monitoring needs, such as an area formed by a few blocks, etc. Wait.
  • the traffic area can be determined according to the actual demand of traffic simulation, which is not specifically limited in the present invention.
  • the traffic simulation initialization data can be stored in the same device or in different devices.
  • the traffic simulation initialization data can be stored in the same server or memory.
  • the road attribute information can also be stored in the name server, and the moving object attribute information
  • the travel information of the mobile object and the mobile object are stored in the simulation database or simulation memory, so that when the attribute information of the mobile object and the travel information of the mobile object remain unchanged, and only the road information is updated or only the road information is requested, the name server can be directly accessed, requested or modified. can.
  • the number of the name server and the simulation database can be set according to actual application requirements, which is not specifically limited in the present invention.
  • the name server adopts a master-slave backup server to ensure fault tolerance and robustness. It is assumed that the single-point failure probability of a single name server is 10%, and two single-point The probability of simultaneous failure of the name server is reduced to 1%, and the system availability can be as high as 99%.
  • the simulation system can be initialized and configured according to the traffic simulation initialization data, and then road-based traffic simulation can be performed.
  • the road-based traffic simulation refers to simulation with a preset traffic area, that is, a certain traffic area road as a simulation object for traffic simulation, that is, the simulation object is converted from an agent in the prior art to a road, specifically, When conducting traffic simulation, focus on road data, and realize the simulation of traffic flow changes by counting the data generated on the road in a certain traffic area and the communication between road data in different traffic areas.
  • the step S102 that is, the step of performing road-based traffic simulation according to the traffic simulation initialization data, includes the following steps S201-S203:
  • step S201 determine a traffic simulation calculation node
  • step S202 obtain traffic area road attribute information, moving object attribute information, and moving object travel information corresponding to the traffic simulation calculation node;
  • step S203 a traffic simulation model is determined, and the traffic simulation model is used to perform node parallel traffic simulation based on the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object.
  • the data is used for road-based traffic simulation, specifically:
  • each traffic simulation computing node can be responsible for the traffic simulation of a traffic area.
  • two or more traffic simulation computing nodes can also be configured for a larger traffic area.
  • a traffic simulation computing node with strong computing capability can also be responsible for two or more traffic areas.
  • the traffic simulation computing node may be a computing device such as a computer and a single-chip computer.
  • the traffic simulation initialization data can be stored in the same device or in different devices. When the traffic simulation initialization data is obtained, the corresponding data can be requested from the destination storage source according to different storage sources.
  • the node parallel traffic simulation refers to multiple The traffic simulation calculation node performs simulation at the same time to improve simulation efficiency.
  • the traffic simulation model is established for the purpose of simulating relatively independent entities or behaviors in the road traffic system, and is used to describe the behaviors and interactions of various entities and obtain corresponding simulation data.
  • the traffic simulation model can be set according to the needs of actual applications, the purpose of traffic simulation, and the characteristics of traffic simulation data. The present invention does not deal with the specific manifestation of the traffic simulation model. Specially limited.
  • the step S102 may further include the step of transmitting simulation data across traffic areas, as shown in FIG. 3, the step S102 is to initialize the data according to the traffic simulation
  • the steps of road-based traffic simulation include the following steps S301-S306:
  • step S301 determine a traffic simulation calculation node
  • step S302 obtain traffic area road attribute information, mobile object attribute information, and mobile object travel information corresponding to the traffic simulation calculation node;
  • step S303 determine a traffic simulation model, and use the traffic simulation model to perform node parallel traffic simulation according to the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object;
  • step S304 in response to detecting that the moving object leaves the traffic area corresponding to the preset traffic simulation computing node, acquire attribute information of the connecting traffic simulation computing node corresponding to the next connecting traffic area in the moving direction of the moving object;
  • step S305 establish communication between the preset traffic simulation calculation node and the connection traffic simulation calculation node according to the attribute information of the connection traffic simulation calculation node;
  • step S306 the traffic simulation data related to the mobile object moving to the next connection traffic area is sent to the connection traffic simulation calculation node.
  • different traffic simulation computing nodes are responsible for the traffic simulation of different traffic areas. That is to say, when pedestrians, motor vehicles and other moving objects move inside the traffic area, all the generated data and messages can be
  • the internal processing of the traffic simulation calculation node does not involve communication between different traffic simulation calculation nodes, but if pedestrians, motor vehicles and other moving objects move across regions, in order to integrate the traffic simulation data to ensure the integrity of the traffic simulation data.
  • the attribute information of the traffic simulation computing node establishes communication between two nodes to send traffic simulation data related to the moving object to the connecting traffic simulation computing node to ensure the integrity of the traffic simulation data.
  • identification information can be added to the sent traffic simulation data to explain the source of the traffic simulation data, related moving object information, and so on.
  • step S103 that is, the step of outputting traffic simulation results, is implemented as:
  • the traffic simulation result is output according to the preset simulation time interval.
  • the preset simulation time interval refers to a preset time interval for outputting traffic simulation results, which is used to characterize the output frequency of the traffic simulation results, and can also reflect all traffic simulation results.
  • the granularity of the traffic simulation can be 40ms, 1s, etc., for example.
  • the preset simulation time interval can be set according to actual application needs, granularity requirements of traffic simulation results, and characteristics of traffic simulation data.
  • the specific value of the preset simulation time interval is not specifically limited by the present invention. .
  • the step S103 that is, the step of outputting traffic simulation results according to a preset simulation time interval, includes the following steps S401-S402:
  • step S401 in response to the end of the preset simulation time interval, collect traffic simulation data generated by the traffic simulation calculation node to obtain a traffic simulation data packet;
  • step S402 preset aggregation processing is performed on the traffic simulation data packet to obtain a traffic simulation result.
  • the traffic simulation calculation node In order to integrate and unify the traffic simulation data generated by multiple traffic simulation calculation nodes, and present complete traffic simulation data, in this implementation, when the preset simulation time interval expires, the traffic simulation calculation node is generated The traffic simulation data is collected to form a traffic simulation data packet; then, according to actual application needs, the traffic simulation data packet is preset and aggregated, and finally the traffic simulation result is obtained.
  • the preset aggregation processing may include processing such as data compression, data alignment, and data denoising.
  • data compression processing is performed on it first, which can avoid data transmission delay caused by frequent network communication.
  • the method may further include the step of updating road data, that is, as shown in Fig. 5, the method includes the following steps S501-S504:
  • step S501 traffic simulation initialization data is obtained, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • step S502 a road-based traffic simulation is performed according to the traffic simulation initialization data
  • step S503 output the traffic simulation result
  • step S504 in response to receiving the road update information, the road attribute information and the relevant traffic area road data in the traffic simulation calculation node are updated based on the road update information.
  • the road attribute information is stored in the name server, and the moving object attribute information and the moving object travel information are stored in the simulation database. After the information is updated, it is possible to update only the relevant information stored in the name server without increasing the signaling overhead of the simulation database, thereby achieving the purpose of saving operating costs and reducing computational complexity.
  • the method may further include the step of performing time alignment management on the traffic simulation computing node, that is, as shown in FIG. 6, the method includes the following steps S601-S604:
  • step S601 the traffic simulation initialization data is acquired, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • step S602 a road-based traffic simulation is performed according to the traffic simulation initialization data
  • step S603 output the traffic simulation result
  • step S604 time alignment management is performed on the traffic simulation calculation node.
  • time alignment management for the traffic simulation calculation node, where the time alignment management can be implemented when the traffic simulation calculation node is performing simulation, or when data aggregation is performed, or two implementation methods are used.
  • the combination method is to make the time stamps of the simulation data of multiple traffic simulation calculation nodes consistent when the traffic simulation calculation node is simulated, and then perform time alignment verification on the simulation data of different traffic simulation calculation nodes during subsequent data aggregation. Simulation data with inconsistent time stamps are time aligned and corrected.
  • the method further includes the step of executing traffic management according to the traffic simulation result, that is, as shown in FIG. 7, the method includes the following steps S701-S704:
  • step S701 traffic simulation initialization data is obtained, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • step S702 a road-based traffic simulation is performed according to the traffic simulation initialization data
  • step S703 output traffic simulation results
  • step S704 execute at least one of the following according to the traffic simulation result:
  • Traffic facilities control dynamic variable lane setting, traffic guidance, traffic flow restriction, or adjustment of navigation data.
  • traffic facilities such as traffic lights can be controlled according to the traffic simulation results, including controlling the start time and continuous start time of the traffic facilities, etc.; and can also be based on the traffic simulation results Carry out dynamic variable lane setting, traffic guidance, traffic flow restriction, traffic flow restriction, etc., adjust user navigation data, etc., to reduce the overall traffic pressure while shortening the user’s travel time, for traffic management and related
  • the formulation of the strategy provides reliable data support.
  • Fig. 8 shows a structural block diagram of a traffic simulation device according to an embodiment of the present invention.
  • the device can be implemented as part or all of an electronic device through software, hardware or a combination of both.
  • the traffic simulation device includes:
  • the obtaining module 801 is configured to obtain traffic simulation initialization data, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • the simulation module 802 is configured to perform road-based traffic simulation according to the traffic simulation initialization data
  • the output module 803 is configured to output traffic simulation results.
  • the dynamic traffic data of an individual or several individuals in the agent is related to multiple simulation computing nodes, that is, When the traffic behavior of an individual or several individuals in the agent spans multiple simulation computing nodes, it is difficult for the system to accurately calculate and simulate the agent’s dynamic traffic data in real time due to the huge amount of communication data between the simulation computing nodes Therefore, whenever a startup time is triggered, the simulation system based on agent mode will traverse all agents to update their status, resulting in a decrease in simulation performance. Moreover, since the agent mode focuses on vehicles, it cannot solve road network maintenance. The problem of dynamic road network data update, so it is only applicable to static road network, can not solve the problem of road network information upgrade, and cannot meet the needs of large-scale traffic simulation.
  • a traffic simulation device which uses roads as a simulation unit of traffic simulation and outputs traffic simulation results.
  • This technical solution does not depend on individuals, only pays attention to road conditions, and realizes the simulation of traffic flow changes by means of message transfer between roads.
  • the changes in road attributes can also be updated at the lowest cost, which can well solve the problem of road network maintenance. Dynamic road network data update and road network information upgrade issues can meet the needs of large-scale traffic simulation.
  • the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information, where the road attribute information Including one or more of the following information: the traffic area to which the road belongs, the connectivity between the roads, the length of the road, the starting and ending positions of the road, the road shape, the number of feasible lanes on the road, the maximum number of vehicles that can be carried on the road, Average speed of roads, etc., where each road belongs to a specific traffic area, and roads in different traffic areas do not cross; the moving object attribute information includes one or more of the following information: moving object category, moving object Average speed, maximum speed of moving objects, etc., where the categories of moving objects may include heavy motor vehicles, medium motor vehicles, small motor vehicles, three-wheel electric vehicles, two-wheel electric vehicles, three-wheel rickshaws, bicycles, pedestrians, etc.
  • the travel information of the mobile object includes one or more of the following information: the departure place of the mobile object, the destination of the mobile object, the average speed of the
  • the traffic area may be a virtual geographic area determined by administrative divisions or according to regional traffic monitoring needs, such as an area formed by a few blocks, etc. Wait.
  • the traffic area can be determined according to the actual demand of traffic simulation, which is not specifically limited in the present invention.
  • the traffic simulation initialization data can be stored in the same device or in different devices.
  • the traffic simulation initialization data can be stored in the same server or memory.
  • the road attribute information can also be stored in the name server, and the moving object attribute information
  • the travel information of the mobile object and the mobile object are stored in the simulation database or simulation memory, so that when the attribute information of the mobile object and the travel information of the mobile object remain unchanged, and only the road information is updated or only the road information is requested, the name server can be directly accessed, requested or modified. can.
  • the number of the name server and the simulation database can be set according to actual application requirements, which is not specifically limited in the present invention.
  • the name server adopts a master-slave backup server to ensure fault tolerance and robustness. It is assumed that the single-point failure probability of a single name server is 10%, and two single-point The probability of simultaneous failure of the name server is reduced to 1%, and the system availability can be as high as 99%.
  • the simulation module 802 can initialize the simulation system according to the traffic simulation initialization data, and then perform road-based traffic simulation.
  • the road-based traffic simulation refers to the simulation by using the preset traffic area, that is, a certain traffic area road as the simulation object of the traffic simulation, that is, the simulation object is converted from the agent in the prior art to the road, specifically, the simulation
  • the module 802 conducts traffic simulation, it focuses on road data, and realizes the simulation of traffic flow changes by counting the data generated on the road in a certain traffic area and the communication between road data in different traffic areas.
  • the simulation module 802 includes:
  • the determining sub-module 901 is configured to determine a traffic simulation calculation node
  • the first obtaining submodule 902 is configured to obtain the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object corresponding to the traffic simulation calculation node;
  • the simulation sub-module 903 is configured to determine a traffic simulation model, and use the traffic simulation model to perform node parallel traffic simulation according to the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object.
  • the simulation module 802 is based on The traffic simulation initialization data performs road-based traffic simulation, specifically:
  • the determining sub-module 901 determines the traffic simulation calculation node.
  • the traffic simulation involves simulation calculation of multiple traffic areas
  • in this implementation mode use Corresponding multiple traffic simulation computing nodes for parallel simulation.
  • each traffic simulation computing node can be responsible for the traffic simulation of a traffic area.
  • two or more traffic simulation calculations can also be configured for a larger traffic area.
  • a traffic simulation computing node with strong computing power can also be responsible for two or more traffic areas.
  • Those skilled in the art can configure the work of the traffic simulation computing node according to actual application needs. It is not specifically limited.
  • the traffic simulation computing node may be a computing device such as a computer and a single-chip computer.
  • the first obtaining submodule 902 obtains the traffic area road attribute information, the moving object attribute information, and the moving object travel information corresponding to the traffic simulation calculation node.
  • the traffic area road attribute information, moving object attribute information, and The traffic simulation initialization data such as the travel information of moving objects can be stored in the same device or in different devices.
  • the simulation sub-module 903 determines a traffic simulation model, and uses the traffic simulation model to perform node-parallel traffic simulation based on the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object.
  • the node-parallel traffic simulation refers to , Simultaneous simulation of multiple traffic simulation computing nodes to improve simulation efficiency.
  • the traffic simulation model is established for the purpose of simulating relatively independent entities or behaviors in the road traffic system, and is used to describe the behaviors and interactions of various entities and obtain corresponding simulation data.
  • the traffic simulation model can be set according to the needs of actual applications, the purpose of traffic simulation, and the characteristics of traffic simulation data. The present invention does not deal with the specific manifestation of the traffic simulation model. Specially limited.
  • the simulation module 802 may further include a part for transmitting simulation data across traffic areas, that is, as shown in FIG. 10, the simulation module 802 includes:
  • the determining sub-module 1001 is configured to determine a traffic simulation calculation node
  • the first obtaining sub-module 1002 is configured to obtain road attribute information, moving object attribute information, and moving object travel information of the traffic area corresponding to the traffic simulation calculation node;
  • the simulation sub-module 1003 is configured to determine a traffic simulation model, and use the traffic simulation model to perform node parallel traffic simulation based on the road attribute information of the traffic area, the attribute information of the moving object, and the travel information of the moving object;
  • the second acquisition sub-module 1004 is configured to, in response to detecting that the moving object leaves the traffic area corresponding to the preset traffic simulation computing node, acquire the data of the connecting traffic simulation computing node corresponding to the next connecting traffic area in the moving direction of the moving object. Attribute information
  • the establishment sub-module 1005 is configured to establish communication between the preset traffic simulation calculation node and the connection traffic simulation calculation node according to the attribute information of the connection traffic simulation calculation node;
  • the sending submodule 1006 is configured to send traffic simulation data related to the mobile object moving to the next connecting traffic area to the connecting traffic simulation calculation node.
  • different traffic simulation computing nodes are responsible for the traffic simulation of different traffic areas. That is to say, when pedestrians, motor vehicles and other moving objects move inside the traffic area, all the generated data and messages can be
  • the internal processing of the traffic simulation calculation node does not involve communication between different traffic simulation calculation nodes, but if pedestrians, motor vehicles and other moving objects move across regions, in order to integrate the traffic simulation data to ensure the integrity of the traffic simulation data.
  • the second acquisition submodule 1004 needs to acquire the attribute information of the connecting traffic simulation computing node corresponding to the next traffic area
  • the establishment sub-module 1005 establishes communication between the two nodes according to the attribute information of the connecting traffic simulation calculation node, so that the sending sub-module 1006 sends traffic simulation data related to the moving object to the connecting traffic simulation Computing nodes to ensure the integrity of traffic simulation data.
  • the sending sub-module 1006 sends traffic simulation data related to the moving object to the connection traffic
  • identification information can also be added to the traffic simulation data to be sent to illustrate the source of the traffic simulation data, related moving object information, and so on.
  • the output module 803 is configured to:
  • the traffic simulation result is output according to the preset simulation time interval.
  • the preset simulation time interval refers to a preset time interval for outputting traffic simulation results, which is used to characterize the output frequency of the traffic simulation results, and can also reflect all traffic simulation results.
  • the granularity of the traffic simulation can be 40ms, 1s, etc., for example.
  • the preset simulation time interval can be set according to actual application needs, granularity requirements of traffic simulation results, and characteristics of traffic simulation data.
  • the specific value of the preset simulation time interval is not specifically limited by the present invention. .
  • the output module 803 includes:
  • the collection sub-module 1101 is configured to collect traffic simulation data generated by the traffic simulation calculation node in response to the end of the preset simulation time interval to obtain a traffic simulation data packet;
  • the processing sub-module 1102 is configured to perform preset aggregation processing on the traffic simulation data packet to obtain a traffic simulation result.
  • the collection sub-module 1101 will The traffic simulation data generated by the simulation computing node is collected to form a traffic simulation data packet; then the processing sub-module 1102 performs preset aggregation processing on the traffic simulation data packet according to actual application requirements, and finally obtains a traffic simulation result.
  • the preset aggregation processing may include processing such as data compression, data alignment, and data denoising.
  • data compression processing is performed on it first, which can avoid data transmission delay caused by frequent network communication.
  • the device may further include a part for updating road data, that is, as shown in FIG. 12, the device includes:
  • the obtaining module 1201 is configured to obtain traffic simulation initialization data, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • the simulation module 1202 is configured to perform road-based traffic simulation according to the traffic simulation initialization data
  • the output module 1203 is configured to output traffic simulation results
  • the update module 1204 is configured to, in response to receiving road update information, update the road attribute information and related traffic area road data in the traffic simulation calculation node based on the road update information.
  • the update module 1204 updates the road attribute information stored in the memory or the server and the relevant traffic area road data in the traffic simulation calculation node based on the road update information.
  • the road attribute information is stored in the name server
  • the moving object attribute information and the moving object travel information are stored in the simulation database.
  • the update module 1204 can update only the relevant information stored in the name server without increasing the signaling overhead of the simulation database, thereby achieving the purpose of saving operation costs and reducing computational complexity.
  • the device may further include a part for time alignment management of the traffic simulation computing node, that is, as shown in FIG. 13, the device includes:
  • the acquiring module 1301 is configured to acquire traffic simulation initialization data, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • the simulation module 1302 is configured to perform road-based traffic simulation according to the traffic simulation initialization data
  • the output module 1303 is configured to output traffic simulation results
  • the management module 1304 is configured to perform time alignment management on the traffic simulation calculation node.
  • the management module 1304 it is also necessary to set the management module 1304 to perform time alignment management on the traffic simulation computing node, where the time alignment management can be performed during simulation of the traffic simulation computing node, or during data aggregation, or two A combination of execution methods, that is, make the time stamps of the simulation data of multiple traffic simulation calculation nodes consistent when the traffic simulation calculation node is simulating, and then perform the time for the simulation data of different traffic simulation calculation nodes in the subsequent data aggregation Alignment inspection, time alignment correction for simulation data with inconsistent time stamps.
  • the device further includes a part that performs traffic management according to the traffic simulation result, that is, as shown in FIG. 14, the device includes:
  • the acquiring module 1401 is configured to acquire traffic simulation initialization data, where the traffic simulation initialization data includes one or more of the following information: road attribute information, moving object attribute information, and moving object travel information;
  • the simulation module 1402 is configured to perform road-based traffic simulation according to the traffic simulation initialization data
  • the output module 1403 is configured to output traffic simulation results
  • the execution module 1404 is configured to execute at least one of the following according to the traffic simulation result:
  • Traffic facilities control dynamic variable lane setting, traffic guidance, traffic flow restriction, or adjustment of navigation data.
  • the execution module 1404 can control traffic facilities such as traffic lights according to the traffic simulation results, including controlling the start time and continuous start time of the traffic facilities; Traffic simulation results are dynamically variable lane settings, traffic guidance, traffic flow restriction, traffic flow restrictions such as traffic flow restrictions, and adjustments to user navigation data, etc., to reduce the overall traffic pressure while shortening the user’s travel time. Provide reliable data support for management and related strategy formulation.
  • Fig. 15 shows a structural block diagram of a traffic simulation system according to an embodiment of the present invention.
  • the traffic simulation system includes:
  • the memory 1501 is configured to store and update the traffic simulation initialization data and provide corresponding requested data in response to the data acquisition request.
  • the traffic simulation initialization data includes one or more of the following information: road attribute information, mobile Object attribute information, travel information of moving objects;
  • a traffic simulation calculation cluster 1502 connected to the memory, is configured to perform road-based traffic simulation according to the traffic simulation initialization data, wherein the traffic simulation calculation cluster includes two or more traffic simulation calculation nodes 15021;
  • the aggregation server 1503 connected to the traffic simulation calculation cluster, is configured to aggregate the traffic simulation data of the traffic simulation calculation cluster and output the traffic simulation result.
  • the device uses roads as the simulation object of traffic simulation and outputs traffic simulation results. It does not depend on individuals, but only pays attention to road conditions, and realizes the simulation of traffic flow changes by means of message transmission between roads. Changes can also be updated at the lowest cost, which can well solve the problems of dynamic road network data update and road network information upgrade for road network maintenance, and can meet the needs of large-scale traffic simulation.
  • the two or more traffic simulation calculation nodes Partition parallel simulation is performed for the corresponding traffic area, that is, two or more traffic simulation calculation nodes in the traffic simulation calculation cluster perform simulation at the same time, and are responsible for different traffic areas. For example, it can be set for each traffic simulation
  • the computing node is responsible for a traffic area. For larger traffic areas, two or more traffic simulation computing nodes can also be configured. Similarly, a traffic simulation computing node with strong computing power can also be responsible for two or more traffic. Area, those skilled in the art can configure the work of the traffic simulation calculation node according to actual application needs, and the present invention does not specifically limit it.
  • the traffic simulation results can be used to perform at least one of the following: control traffic facilities such as traffic lights, including controlling the start time and continuous start time of the traffic facilities; Set up variable lanes; conduct traffic guidance; implement traffic flow restrictions such as traffic flow restriction and prohibition; or adjust user navigation data, etc., so as to reduce the overall traffic pressure and shorten the travel time of users for traffic management And the formulation of related strategies provides reliable data support.
  • control traffic facilities such as traffic lights, including controlling the start time and continuous start time of the traffic facilities
  • Set up variable lanes conduct traffic guidance
  • implement traffic flow restrictions such as traffic flow restriction and prohibition
  • adjust user navigation data etc.
  • the traffic simulation calculation nodes in the traffic simulation calculation cluster are connected to each other, or at least the traffic simulation calculation nodes responsible for the simulation of adjacent traffic areas are connected to each other, and the traffic simulation calculation The nodes are all connected to the memory.
  • the traffic simulation computing node in the traffic simulation computing cluster first obtains the traffic simulation initialization data of the corresponding traffic area from the memory by means of a data request, and then initializes it based on the traffic simulation The data is used for traffic simulation of different traffic areas.
  • the traffic simulation calculation node may be implemented as a computing device such as a computer or a single-chip computer.
  • the traffic simulation calculation node may also be configured as:
  • the traffic simulation data related to the mobile object moving to the next connecting traffic area is sent to the connecting traffic simulation calculation node.
  • different traffic simulation computing nodes are responsible for the traffic simulation of different traffic areas. That is to say, when pedestrians, motor vehicles and other moving objects move inside the traffic area, all the generated data and messages can be
  • the internal processing of the traffic simulation calculation node does not involve communication between different traffic simulation calculation nodes, but if pedestrians, motor vehicles and other moving objects move across regions, in order to integrate the traffic simulation data to ensure the integrity of the traffic simulation data.
  • the previous traffic simulation computing node needs to obtain the attribute information of the connecting traffic simulation computing node corresponding to the next traffic area , And establish communication between the two nodes according to the attribute information of the connecting traffic simulation computing node, so as to send traffic simulation data related to the moving object to the connecting traffic simulation computing node to ensure the traffic simulation data Integrity.
  • the previous traffic simulation computing node in order to ensure the correctness of the processing of the traffic simulation data by the connecting traffic simulation computing node, the previous traffic simulation computing node is sending traffic simulation data related to the moving object to When the traffic simulation computing node is connected, identification information can also be added to the sent traffic simulation data to indicate the source of the traffic simulation data, related moving object information, and so on.
  • the memory 1501 includes:
  • the name server 1601 is configured to store the road attribute information
  • the simulation memory 1602 is configured to store the attribute information of the moving object and the travel information of the moving object.
  • the traffic simulation initialization data can be stored in the same memory device or in different memory devices.
  • the road attribute information can be stored in the name server 1601, while the moving object attribute information and the moving object travel information are additionally stored in the simulation memory 1602, so that when the moving object attribute information and moving The travel information of the object remains unchanged.
  • the name server 1601 can be directly accessed, requested or modified.
  • the number of the name server and the emulation memory can be set according to actual application requirements, which is not specifically limited in the present invention.
  • the name server is a master-slave backup server to ensure fault tolerance and robustness. It is assumed that the single point of failure probability of a single name server is 10%, and two single point names The probability of simultaneous server failures is reduced to 1%, and system availability can be as high as 99%.
  • the memory 1501 is further configured to: in response to receiving road update information, update the road attribute information based on the road update information; and, the traffic simulation The computing node 15021 is further configured to: in response to receiving the road update information, update the relevant traffic area road data based on the road update information.
  • the memory 1501 updates its stored road attribute information of the traffic area based on the road update information
  • the traffic simulation calculation node 15021 updates the relevant road data of the traffic area based on the road update information.
  • the road attribute information is stored in the name server 1601, and the moving object attribute information and the moving object travel information are stored in the simulation memory 1602, then the After the road update information, the update of the relevant information can be started only in the name server 1601 without increasing the signaling overhead of the emulation memory 1602, thereby achieving the purpose of saving operation costs and reducing computational complexity.
  • the aggregation server 1503 is further configured to output traffic simulation results according to a preset simulation time interval.
  • the preset simulation time interval refers to a preset time interval for outputting traffic simulation results, which is used to characterize the output frequency of the traffic simulation results, and can also reflect all traffic simulation results.
  • the granularity of the traffic simulation can be 40ms, 1s, etc., for example.
  • the preset simulation time interval can be set according to actual application needs, granularity requirements of traffic simulation results, and characteristics of traffic simulation data.
  • the specific value of the preset simulation time interval is not specifically limited by the present invention. .
  • the aggregation server 1503 is configured to:
  • the aggregation server 1503 will perform the traffic simulation The traffic simulation data generated by the computing node is collected to form a traffic simulation data packet; then, the traffic simulation data packet is preset and aggregated according to actual application needs, and finally the traffic simulation result is obtained.
  • the preset aggregation processing may include processing such as data compression, data alignment, and data denoising.
  • data compression processing is performed on it first, which can avoid data transmission delay caused by frequent network communication.
  • system further includes:
  • the clock synchronization server 1504 is connected to the traffic simulation calculation cluster and/or the aggregation server, and is configured to perform time alignment management on the data in the traffic simulation calculation node and/or the aggregation server.
  • clock synchronization server 1504 can be connected to a traffic simulation computing node to perform time alignment at the traffic simulation computing node, or can be connected to an aggregation server to perform time alignment management.
  • the server performs data aggregation, the execution time is aligned, or it is connected to both, and the two execution methods are combined.
  • the time stamp of the simulation data of multiple traffic simulation calculation nodes is consistent.
  • the time alignment check is performed on the simulation data of different traffic simulation computing nodes, so as to perform time alignment correction on the simulation data with inconsistent time stamps.
  • FIG. 17 shows a structural block diagram of an electronic device according to an embodiment of the present invention.
  • the electronic device 1700 includes a memory 1701 and a processor 1702; among them,
  • the memory 1701 is configured to store one or more computer instructions, where the one or more computer instructions are executed by the processor 1702 to implement any of the above method steps.
  • FIG. 18 is a schematic structural diagram of a computer system suitable for implementing the traffic simulation method according to the embodiment of the present invention.
  • the computer system 1800 includes a central processing unit (CPU) 1801, which can follow a program stored in a read-only memory (ROM) 1802 or a program loaded from a storage portion 1808 to a random access memory (RAM) 1803
  • CPU central processing unit
  • RAM random access memory
  • the various processes in the above-mentioned embodiments are executed.
  • RAM 1803 various programs and data required for the operation of the system 1800 are also stored.
  • the CPU 1801, ROM 1802, and RAM 1803 are connected to each other through a bus 1804.
  • An input/output (I/O) interface 1805 is also connected to the bus 1804.
  • the following components are connected to the I/O interface 1805: an input part 1806 including a keyboard, a mouse, etc.; an output part 1807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and speakers, etc.; a storage part 1808 including a hard disk, etc. ; And a communication section 1809 including a network interface card such as a LAN card, a modem, etc. The communication section 1809 performs communication processing via a network such as the Internet.
  • the driver 1810 is also connected to the I/O interface 1805 as needed.
  • a removable medium 1811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1810 as needed, so that the computer program read from it is installed into the storage portion 1808 as needed.
  • the method described above may be implemented as a computer software program.
  • the embodiment of the present invention includes a computer program product, which includes a computer program tangibly contained on a readable medium thereof, and the computer program includes program code for executing the traffic simulation method.
  • the computer program may be downloaded and installed from the network through the communication part 1809, and/or installed from the removable medium 1811.
  • each block in the route diagram or block diagram may represent a module, program segment, or part of the code, and the module, program segment, or part of the code contains one or more functions for realizing the specified logical function.
  • Executable instructions may also occur in a different order from the order marked in the drawings. For example, two blocks shown in succession can actually be executed substantially in parallel, or they can sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart can be implemented by a dedicated hardware-based system that performs the specified functions or operations Or it can be realized by a combination of dedicated hardware and computer instructions.
  • the units or modules involved in the embodiments described in the present invention can be implemented in software or hardware.
  • the described units or modules may also be provided in the processor, and the names of these units or modules do not constitute a limitation on the unit or module itself under certain circumstances.
  • the embodiments of the present invention also provide a computer-readable storage medium.
  • the computer-readable storage medium may be the computer-readable storage medium included in the device described in the above-mentioned embodiment; or it may exist alone.
  • the computer-readable storage medium stores one or more programs, and the programs are used by one or more processors to execute the methods described in the embodiments of the present invention.

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Abstract

本发明实施例公开了一种交通仿真方法、装置、电子设备及计算机可读存储介质,所述方法包括:获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;根据所述交通仿真初始化数据进行基于道路的交通仿真;输出交通仿真结果。该技术方案借助道路之间的消息传递实现交通流变化的仿真,对于道路属性的变化也能够以最低成本实现更新,从而能够很好地解决路网维护的动态路网数据更新以及路网信息升级问题,能够应对大规模交通仿真的需求。

Description

交通仿真方法、装置、电子设备及计算机可读存储介质
本申请要求2019年04月09日递交的申请号为201910281788.0、发明名称为“交通仿真方法、装置、电子设备及计算机可读存储介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本发明实施例涉及数据仿真技术领域,具体涉及一种交通仿真方法、装置、电子设备及计算机可读存储介质。
背景技术
随着社会的发展,机动车的持有量持续增长,交通区域的车流量压力也越来越大,如何有效缓解交通压力、如何对于交通状况进行可控性地调整是目前亟待解决的问题。使用计算机技术对于交通数据进行模拟仿真和分析,既能够为交通管理策略的制定提供数据支持,又能够减少交通检测设备的配置数量,大大降低检测成本。但现有技术中的交通仿真技术大多是基于agent(代理)模式,其中,agent既可以表示一个单独的个体,如行人、车辆等,也可以由多个个体组成,如由司机、乘客及车辆本身组成,在实际应用中,发明人发现该技术受限于agent之间的协作机制,比如,当agent中某个个体或者某几个个体的动态交通数据与多个仿真计算节点均相关,即agent中某个个体或者某几个个体的交通行为跨越多个仿真计算节点时,由于仿真计算节点之间的通信数据量巨大,系统很难对于该agent的动态交通数据进行实时准确地计算和仿真,因此每当触发一个启动时间,基于agent模式的仿真系统就会对全部agent进行遍历以更新其状态,从而导致仿真性能下降,而且由于agent模式关注的个体是车辆,并不能解决路网维护的动态路网数据更新问题,因此只适用于静态路网,不能很好的解决路网信息升级问题,无法应对大规模交通仿真的需求。
发明内容
本发明实施例提供一种交通仿真方法、装置、电子设备及计算机可读存储介质。
第一方面,本发明实施例中提供了一种交通仿真方法。
具体的,所述交通仿真方法,包括:
获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种 或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
根据所述交通仿真初始化数据进行基于道路的交通仿真;
输出交通仿真结果。
结合第一方面,本发明实施例在第一方面的第一种实现方式中,所述根据所述交通仿真初始化数据进行基于道路的交通仿真,包括:
确定交通仿真计算节点;
获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真。
结合第一方面和第一方面的第一种实现方式,本发明实施例在第一方面的第二种实现方式中,所述根据所述交通仿真初始化数据进行基于道路的交通仿真,还包括:
响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
结合第一方面、第一方面的第一种实现方式和第一方面的第二种实现方式,本公开在第一方面的第三种实现方式中,所述输出交通仿真结果,被实施为:
按照预设仿真时间间隔输出交通仿真结果。
结合第一方面的第一种实现方式、第一方面的第二种实现方式和第一方面的第三种实现方式,本公开在第一方面的第四种实现方式中,所述按照预设仿真时间间隔输出交通仿真结果,包括:
响应于预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果。
结合第一方面、第一方面的第一种实现方式、第一方面的第二种实现方式、第一方面的第三种实现方式和第一方面的第四种实现方式,本公开在第一方面的第五种实现方式中,还包括:
响应于接收到交通区域道路更新信息,基于所述交通区域道路更新信息对于所述交通区域道路属性信息以及所述交通仿真计算节点中的相关交通区域道路数据进行更新。
结合第一方面、第一方面的第一种实现方式、第一方面的第二种实现方式、第一方面的第三种实现方式、第一方面的第四种实现方式和第一方面的第五种实现方式,本公开在第一方面的第六种实现方式中,还包括:
对于所述交通仿真计算节点进行时间对齐管理。
结合第一方面、第一方面的第一种实现方式、第一方面的第二种实现方式、第一方面的第三种实现方式、第一方面的第四种实现方式、第一方面的第五种实现方式和第一方面的第六种实现方式,本公开在第一方面的第七种实现方式中,还包括:根据所述交通仿真结果执行以下至少一项:
交通设施控制,动态可变车道设置,交通诱导,交通流量限制,或者调整导航数据。
第二方面,本发明实施例中提供了一种交通仿真装置。
具体的,所述交通仿真装置,包括:
获取模块,被配置为获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
仿真模块,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真;
输出模块,被配置为输出交通仿真结果。
结合第二方面,本发明实施例在第二方面的第一种实现方式中,所述仿真模块包括:
确定子模块,被配置为确定交通仿真计算节点;
第一获取子模块,被配置为获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
仿真子模块,被配置为确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真。
结合第二方面和第二方面的第一种实现方式,本发明实施例在第二方面的第二种实现方式中,所述仿真模块还包括:
第二获取子模块,被配置为响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
建立子模块,被配置为根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
发送子模块,被配置为将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
结合第二方面、第二方面的第一种实现方式和第二方面的第二种实现方式,本公开在第二方面的第三种实现方式中,所述输出模块被配置为:
按照预设仿真时间间隔输出交通仿真结果。
结合第二方面、第二方面的第一种实现方式、第二方面的第二种实现方式和第二方面的第三种实现方式,本公开在第二方面的第四种实现方式中,所述输出模块包括:
收集子模块,被配置为响应于预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
处理子模块,被配置为对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果。
结合第二方面、第二方面的第一种实现方式、第二方面的第二种实现方式、第二方面的第三种实现方式和第二方面的第四种实现方式,本公开在第二方面的第五种实现方式中,还包括:
更新模块,被配置为响应于接收到交通区域道路更新信息,基于所述交通区域道路更新信息对于所述交通区域道路属性信息以及所述交通仿真计算节点中的相关交通区域道路数据进行更新。
结合第二方面、第二方面的第一种实现方式、第二方面的第二种实现方式、第二方面的第三种实现方式、第二方面的第四种实现方式和第二方面的第五种实现方式,本公开在第二方面的第六种实现方式中,还包括:
管理模块,被配置为对于所述交通仿真计算节点进行时间对齐管理。
结合第二方面、第二方面的第一种实现方式、第二方面的第二种实现方式、第二方面的第三种实现方式、第二方面的第四种实现方式、第二方面的第五种实现方式和第二方面的第六种实现方式,本公开在第二方面的第七种实现方式中,还包括:
执行模块,被配置为根据所述交通仿真结果执行以下至少一项:
交通设施控制,动态可变车道设置,交通诱导,交通流量限制,或者调整导航数据。
第三方面,本发明实施例中提供了一种交通仿真系统。
具体的,所述交通仿真系统,包括:
存储器,被配置为存储、更新交通仿真初始化数据并响应于数据获取请求提供相应的被请求数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属 性信息、移动对象属性信息、移动对象出行信息;
交通仿真计算集群,与所述存储器连接,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真,其中,所述交通仿真计算集群包括两个或多个交通仿真计算节点;
聚合服务器,与所述交通仿真计算集群连接,被配置为对于所述交通仿真计算集群的交通仿真数据进行聚合,并输出交通仿真结果。
结合第三方面,本发明实施例在第三方面的第一种实现方式中,所述两个或多个交通仿真计算节点对于相应交通区域进行分区并行仿真。
结合第三方面和第三方面的第一种实现方式,本发明实施例在第三方面的第二种实现方式中,所述交通仿真计算节点还被配置为:
响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
结合第三方面、第三方面的第一种实现方式和第三方面的第二种实现方式,本公开在第三方面的第三种实现方式中,所述存储器包括:
名字服务器,被配置为存储所述道路属性信息;
仿真存储器,被配置为存储所述移动对象属性信息和移动对象出行信息。
结合第三方面、第三方面的第一种实现方式、第三方面的第二种实现方式和第三方面的第三种实现方式,本公开在第三方面的第四种实现方式中,所述名字服务器为主从备份服务器。
结合第三方面、第三方面的第一种实现方式、第三方面的第二种实现方式、第三方面的第三种实现方式和第三方面的第四种实现方式,本公开在第三方面的第五种实现方式中,所述存储器还被配置为:响应于接收到道路更新信息,基于所述道路更新信息对于所述道路属性信息进行更新;以及
所述交通仿真计算节点还被配置为:响应于接收到道路更新信息,基于所述道路更新信息对于相关交通区域道路数据进行更新。
结合第三方面、第三方面的第一种实现方式、第三方面的第二种实现方式、第三方 面的第三种实现方式、第三方面的第四种实现方式和第三方面的第五种实现方式,本公开在第三方面的第六种实现方式中,所述聚合服务器还被配置为按照预设仿真时间间隔输出交通仿真结果。
结合第三方面、第三方面的第一种实现方式、第三方面的第二种实现方式、第三方面的第三种实现方式、第三方面的第四种实现方式、第三方面的第五种实现方式和第三方面的第六种实现方式,本公开在第三方面的第七种实现方式中,所述聚合服务器被配置为:
响应于预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果进行输出。
结合第三方面、第三方面的第一种实现方式、第三方面的第二种实现方式、第三方面的第三种实现方式、第三方面的第四种实现方式、第三方面的第五种实现方式、第三方面的第六种实现方式和第三方面的第七种实现方式,本公开在第三方面的第八种实现方式中,还包括:
时钟同步服务器,与所述交通仿真计算集群和/或聚合服务器连接,被配置为对于所述交通仿真计算节点和/或聚合服务器中的数据进行时间对齐管理。
第四方面,本发明实施例提供了一种电子设备,包括存储器和处理器,所述存储器用于存储一条或多条支持交通仿真装置执行上述第一方面中交通仿真方法的计算机指令,所述处理器被配置为用于执行所述存储器中存储的计算机指令。所述交通仿真装置还可以包括通信接口,用于交通仿真装置与其他设备或通信网络通信。
第五方面,本发明实施例提供了一种计算机可读存储介质,用于存储交通仿真装置所用的计算机指令,其包含用于执行上述第一方面中交通仿真方法为交通仿真装置所涉及的计算机指令。
本发明实施例提供的技术方案可包括以下有益效果:
上述技术方案以道路作为交通仿真的仿真对象,输出交通仿真结果。该技术方案不依赖于个体,只关注道路情况,借助道路之间的消息传递实现交通流变化的仿真,对于道路属性的变化也能够以最低成本实现更新,从而能够很好地解决路网维护的动态路网数据更新以及路网信息升级问题,能够应对大规模交通仿真的需求,为有效缓解交通压力、对于交通状况进行可控性地调整提供及时、可靠的数据支持。
应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能 限制本发明实施例。
附图说明
结合附图,通过以下非限制性实施方式的详细描述,本发明实施例的其它特征、目的和优点将变得更加明显。在附图中:
图1示出根据本发明一实施方式的交通仿真方法的流程图;
图2示出根据图1所示实施方式的交通仿真方法的步骤S102的流程图;
图3示出根据图1所示另一实施方式的交通仿真方法的步骤S102的流程图;
图4示出根据图1所示实施方式的交通仿真方法的步骤S103的流程图;
图5示出根据本发明另一实施方式的交通仿真方法的流程图;
图6示出根据本发明另一实施方式的交通仿真方法的流程图;
图7示出根据本发明再一实施方式的交通仿真方法的流程图;
图8示出根据本发明一实施方式的交通仿真装置的结构框图;
图9示出根据图8所示实施方式的交通仿真装置的仿真模块802的结构框图;
图10示出根据图8所示另一实施方式的交通仿真装置的仿真模块802的结构框图;
图11示出根据图8所示实施方式的交通仿真装置的输出模块803的结构框图;
图12示出根据本发明另一实施方式的交通仿真装置的结构框图;
图13示出根据本发明另一实施方式的交通仿真装置的结构框图;
图14示出根据本发明再一实施方式的交通仿真装置的结构框图;
图15示出根据本发明一实施方式的交通仿真系统的结构框图;
图16示出根据图15所示实施方式的交通仿真系统的存储器1501的结构框图;
图17示出根据本发明一实施方式的电子设备的结构框图;
图18是适于用来实现根据本发明一实施方式的交通仿真方法的计算机系统的结构示意图。
具体实施方式
下文中,将参考附图详细描述本发明实施例的示例性实施方式,以使本领域技术人员可容易地实现它们。此外,为了清楚起见,在附图中省略了与描述示例性实施方式无关的部分。
在本发明实施例中,应理解,诸如“包括”或“具有”等的术语旨在指示本说明书 中所公开的特征、数字、步骤、行为、部件、部分或其组合的存在,并且不欲排除一个或多个其他特征、数字、步骤、行为、部件、部分或其组合存在或被添加的可能性。
另外还需要说明的是,在不冲突的情况下,本发明中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本发明实施例。
本发明实施例提供的技术方案以道路作为交通仿真的仿真对象,输出交通仿真结果。该技术方案不依赖于个体,只关注道路情况,借助道路之间的消息传递实现交通流变化的仿真,对于道路属性的变化也能够以最低成本实现更新,从而能够很好地解决路网维护的动态路网数据更新以及路网信息升级问题,能够应对大规模交通仿真的需求,为有效缓解交通压力、对于交通状况进行可控性地调整提供及时、可靠的数据支持。
图1示出根据本发明一实施方式的交通仿真方法的流程图,如图1所示,所述交通仿真方法包括以下步骤S101-S103:
在步骤S101中,获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
在步骤S102中,根据所述交通仿真初始化数据进行基于道路的交通仿真;
在步骤S103中,输出交通仿真结果。
上文提及,随着社会的发展,机动车的持有量持续增长,交通区域的车流量压力也越来越大,如何有效缓解交通压力、如何对于交通状况进行可控性地调整是目前亟待解决的问题。使用计算机技术对于交通数据进行模拟仿真和分析,既能够为交通管理策略的制定提供数据支持,又能够减少交通检测设备的配置数量,大大降低检测成本。但现有技术中的交通仿真技术大多是基于agent(代理)模式,其中,agent既可以表示一个单独的个体,如行人、车辆等,也可以由多个个体组成,如由司机、乘客及车辆本身组成,在实际应用中,发明人发现该技术受限于agent之间的协作机制,比如,当agent中某个个体或者某几个个体的动态交通数据与多个仿真计算节点均相关,即agent中某个个体或者某几个个体的交通行为跨越多个仿真计算节点时,由于仿真计算节点之间的通信数据量巨大,系统很难对于该agent的动态交通数据进行实时准确地计算和仿真,因此每当触发一个启动时间,基于agent模式的仿真系统就会对全部agent进行遍历以更新其状态,从而导致仿真性能下降,而且由于agent模式关注的个体是车辆,并不能解决路网维护的动态路网数据更新问题,因此只适用于静态路网,不能很好的解决路网信息升级问题,无法应对大规模交通仿真的需求。
考虑到上述问题,在该实施方式中,提出一种交通仿真方法,该方法以道路作为交 通仿真的仿真对象,输出交通仿真结果。该技术方案不依赖于个体,只关注道路情况,借助道路之间的消息传递实现交通流变化的仿真,对于道路属性的变化也能够以最低成本实现更新,从而能够很好地解决路网维护的动态路网数据更新以及路网信息升级问题,能够应对大规模交通仿真的需求。
在本实施例的一个可选实现方式中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息,其中,所述道路属性信息包括以下信息中的一种或多种:道路所属交通区域、道路之间的连通性、道路长度、道路的起始位置和终止位置、道路形状、道路可行车道数量、道路最大可承载车辆数量、道路平均时速等等,其中,每条道路属于某个特定的交通区域,不同交通区域的道路不交叉;所述移动对象属性信息包括以下信息中的一种或多种:移动对象类别、移动对象平均时速、移动对象最大时速等等,其中,所述移动对象类别可包括重型机动车辆、中型机动车辆、小型机动车辆、三轮电动车、两轮电动车、三轮人力车、自行车、行人等类别;所述移动对象出行信息包括以下信息中的一种或多种:移动对象出发地、移动对象目的地、移动对象平均时速、移动对象出行路线规划、移动对象出行偏好等等。
在本实施例的一个可选实现方式中,所述交通区域既可以是根据行政划分区域也可以是根据区域交通监测需求人为确定的一个虚拟的地理区域,比如某几个街区所形成的区域等等。也就是说,所述交通区域可根据交通仿真的实际需求进行确定,本发明对其不作具体限定。
在本实施例的一个可选实现方式中,所述交通仿真初始化数据可以存放在同一设备中,也可以分别存放在不同的设备中,比如,所述交通仿真初始化数据可以存放在同一服务器或存储器中,当然,考虑到道路信息后续有可能进行更新,或者被请求以获取不同交通区域道路信息,为了简化请求流程,也可以将所述道路属性信息存放在名字服务器中,而将移动对象属性信息和移动对象出行信息存放在仿真数据库或仿真存储器中,这样当移动对象属性信息和移动对象出行信息不变,只更新道路信息或者只请求道路信息时,就可以直接访问、请求或修改名字服务器即可。
在本实施例的一个可选实现方式中,所述名字服务器和仿真数据库的数量可根据实际应用的需要进行设置,本发明对其不作具体限定。
在本实施例的一个可选实现方式中,所述名字服务器采用主从备份的服务器,以确保容错性和鲁棒性,假设单台名字服务器的单点故障概率为10%,2台单点名字服务器同时发生故障的概率就降为1%,那么系统可用性就可高达99%。
获取上述交通仿真初始化数据之后,就可以根据所述交通仿真初始化数据对仿真系统进行初始化配置,然后进行基于道路的交通仿真了。其中,所述基于道路的交通仿真指的是以预设交通区域即某一个交通区域道路作为交通仿真的仿真对象进行仿真,即仿真对象由现有技术中的agent转换为道路,具体地,在进行交通仿真时,重点关注道路数据,通过统计某一交通区域道路上产生的数据、以及不同交通区域道路数据之间的通信来实现交通流变化的仿真。
在本实施例的一个可选实现方式中,如图2所示,所述步骤S102,即根据所述交通仿真初始化数据进行基于道路的交通仿真的步骤,包括以下步骤S201-S203:
在步骤S201中,确定交通仿真计算节点;
在步骤S202中,获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
在步骤S203中,确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真。
为了能够对于道路属性的变化以最低成本实现更新,解决路网维护的动态路网数据更新以及路网信息升级所带来的计算量巨大的问题,在该实现方式中,根据所述交通仿真初始化数据进行基于道路的交通仿真,具体地:
首先确定交通仿真计算节点,考虑到所述交通仿真涉及多个交通区域的仿真计算,为了提高仿真数据的精确度,提升仿真效率,在该实现方式中,使用与所述交通区域相对应的多个交通仿真计算节点来进行并行仿真,具体地,每个交通仿真计算节点可负责一个交通区域的交通仿真,当然对于面积较大的交通区域也可以配置两个或多个交通仿真计算节点来负责,类似地,计算能力较强的交通仿真计算节点也可以负责两个或多个交通区域,本领域技术人员可根据实际应用的需要对于交通仿真计算节点的工作进行配置,本发明对其不作具体限定。在使用多个交通仿真计算节点进行并行仿真时,仿真之前,就需要确定完成此次仿真任务所需要的交通仿真计算节点,及其与所负责交通区域之间的对应关系,并将上述配置信息存储在预设存储器或者名字服务器中,以供交通仿真计算节点请求调用。
在本实施例的一个可选实现方式中,所述交通仿真计算节点可以为计算机、单片机等计算设备。
然后获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息,如上文所述,所述交通区域道路属性信息、移动对象属性信息 和移动对象出行信息等交通仿真初始化数据既可以存放在同一设备中,也可以分别存放在不同的设备中,在获取上述交通仿真初始化数据时,可根据存储源的不同,向目的存储源请求相应的数据。
最后确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真,其中,节点并行交通仿真指的是,多个交通仿真计算节点同时进行仿真,以提高仿真效率。
其中,所述交通仿真模型是以模拟道路交通系统中相对独立的实体或行为为目的而建立的,用于描述各实体的行为及其相互作用,并获取相应的模拟数据。在本实施例的一个可选实现方式中,所述交通仿真模型可根据实际应用的需要、交通仿真的目的以及交通仿真数据的特点进行设置,本发明对于所述交通仿真模型的具体表现形式不作特别限定。
在本实施例的一个可选实现方式中,所述步骤S102还可包括对于跨交通区域仿真数据进行传输的步骤,即如图3所示,所述步骤S102,即根据所述交通仿真初始化数据进行基于道路的交通仿真的步骤,包括以下步骤S301-S306:
在步骤S301中,确定交通仿真计算节点;
在步骤S302中,获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
在步骤S303中,确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真;
在步骤S304中,响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
在步骤S305中,根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
在步骤S306中,将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
上文提及,不同的交通仿真计算节点负责不同交通区域的交通仿真,也就是说,当行人、机动车等移动对象在所述交通区域内部移动时,所有产生的数据和消息均可在相应交通仿真计算节点内部处理,不涉及不同交通仿真计算节点之间的通信,但如果行人、机动车等移动对象出现了跨区域移动,为了对于交通仿真数据进行整合,保证交通仿真 数据的整体性,在该实现方式中,当检测到移动对象离开之前的交通区域,进入移动方向上的下一交通区域时,需要获取下一交通区域对应的接续交通仿真计算节点的属性信息,并根据所述接续交通仿真计算节点的属性信息,建立两个节点之间的通信,以将与所述移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点,保证交通仿真数据的整体性。
在本实施例的一个可选实现方式中,为了保证接续交通仿真计算节点对于所述交通仿真数据处理的正确性,在将与所述移动对象相关的交通仿真数据发送给接续交通仿真计算节点时,还可在被发送交通仿真数据中加入标识信息,以说明所述交通仿真数据的来源、相关的移动对象信息等等。
在本实施例的一个可选实现方式中,所述步骤S103,即输出交通仿真结果的步骤,被实施为:
按照预设仿真时间间隔输出交通仿真结果。
在本实施例的一个可选实现方式中,所述预设仿真时间间隔指的是预先设置的、输出交通仿真结果的时间间隔,用于表征所述交通仿真结果输出的频率,也能够体现所述交通仿真的颗粒度,比如可取为40ms、1s等等。其中,所述预设仿真时间间隔可根据实际应用的需要、交通仿真结果的颗粒度要求以及交通仿真数据的特点进行设置,对于所述预设仿真时间间隔的具体取值,本发明不作具体限定。
在本实施例的一个可选实现方式中,如图4所示,所述步骤S103,即按照预设仿真时间间隔输出交通仿真结果的步骤,包括以下步骤S401-S402:
在步骤S401中,响应于所述预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
在步骤S402中,对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果。
为了对于多个交通仿真计算节点生成的交通仿真数据进行整合和统一,呈现完整的交通仿真数据,在该实现方式中,当预设仿真时间间隔计时结束时,就将所述交通仿真计算节点生成的交通仿真数据收集起来,形成交通仿真数据包;然后再根据实际应用的需要对于所述交通仿真数据包进行预设聚合处理,最终得到交通仿真结果。
其中,所述预设聚合处理可包括数据压缩、数据对齐、数据去噪等处理。在本实施例的一个可选实现方式中,在对于所述交通仿真数据包进行发送前,先对其进行数据压缩处理,这样能够避免频繁的网络通信而造成的数据传输延迟。
在本实施例的一个可选实现方式中,所述方法还可包括对于道路数据进行更新的步 骤,即如图5所示,所述方法包括以下步骤S501-S504:
在步骤S501中,获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
在步骤S502中,根据所述交通仿真初始化数据进行基于道路的交通仿真;
在步骤S503中,输出交通仿真结果;
在步骤S504中,响应于接收到道路更新信息,基于所述道路更新信息对于所述道路属性信息以及所述交通仿真计算节点中的相关交通区域道路数据进行更新。
考虑到在实际应用中,经常存在路网维护、路网变更的情况,为了能够对于路网维护和路网变更及时进行反应,更正交通仿真数据,在该实现方式中,当接收到道路更新信息后,基于所述道路更新信息对于存储器或者服务器中存储的道路属性信息以及交通仿真计算节点中的相关交通区域道路数据进行更新。
上文提及,在本实施例的一个可选实现方式中,将所述道路属性信息存放在名字服务器中,将移动对象属性信息和移动对象出行信息存放在仿真数据库中,那么在接收到道路更新信息后,就可以只对名字服务器中存储的相关信息进行更新,而不增加仿真数据库的信令开销,从而达到节约操作成本,降低计算复杂度的目的。
在本实施例的一个可选实现方式中,所述方法还可包括对于所述交通仿真计算节点进行时间对齐管理的步骤,即如图6所示,所述方法包括以下步骤S601-S604:
在步骤S601中,获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
在步骤S602中,根据所述交通仿真初始化数据进行基于道路的交通仿真;
在步骤S603中,输出交通仿真结果;
在步骤S604中,对于所述交通仿真计算节点进行时间对齐管理。
由于多个交通仿真计算节点并行进行仿真,为了能够得到有效的交通仿真结果,避免出现时间错位无法整合的情况,需要保证所有交通仿真计算节点的仿真数据的时间一致性,因此在该实现方式中,还需要对于所述交通仿真计算节点进行时间对齐管理,其中,所述时间对齐管理既可以在交通仿真计算节点进行仿真时实现,也可在进行数据聚合时实现,或者采用两种实现方式相结合的方式,即在交通仿真计算节点进行仿真时使得多个交通仿真计算节点的仿真数据的时间戳一致,在后续进行数据聚合时再对于不同交通仿真计算节点的仿真数据进行时间对齐检验,对于时间戳不一致的仿真数据进行时间对齐纠正。
在本实施例的一个可选实现方式中,所述方法还包括根据所述交通仿真结果执行交通管理的步骤,即如图7所示,所述方法包括以下步骤S701-S704:
在步骤S701中,获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
在步骤S702中,根据所述交通仿真初始化数据进行基于道路的交通仿真;
在步骤S703中,输出交通仿真结果;
在步骤S704中,根据所述交通仿真结果执行以下至少一项:
交通设施控制,动态可变车道设置,交通诱导,交通流量限制,或者调整导航数据。
在本实施例的一个可选实现方式中,可根据所述交通仿真结果对于交通信号灯等交通设施进行控制,包括控制交通设施的启动时间、持续启动时间等等;还可根据所述交通仿真结果进行动态可变车道设置,交通诱导,交通流量限流、禁行等交通流量限制,对于用户导航数据进行调整等等,以在减缓整体交通压力的同时,缩短用户出行用时,为交通管理以及相关策略的制定提供可靠的数据支持。
下述为本发明装置实施例,可以用于执行本发明方法实施例。
图8示出根据本发明一实施方式的交通仿真装置的结构框图,该装置可以通过软件、硬件或者两者的结合实现成为电子设备的部分或者全部。如图8所示,所述交通仿真装置包括:
获取模块801,被配置为获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
仿真模块802,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真;
输出模块803,被配置为输出交通仿真结果。
上文提及,随着社会的发展,机动车的持有量持续增长,交通区域的车流量压力也越来越大,如何有效缓解交通压力、如何对于交通状况进行可控性地调整是目前亟待解决的问题。使用计算机技术对于交通数据进行模拟仿真和分析,既能够为交通管理策略的制定提供数据支持,又能够减少交通检测设备的配置数量,大大降低检测成本。但现有技术中的交通仿真技术大多是基于agent(代理)模式,其中,agent既可以表示一个单独的个体,如行人、车辆等,也可以由多个个体组成,如由司机、乘客及车辆本身组成,在实际应用中,发明人发现该技术受限于agent之间的协作机制,比如,当agent中某个个体或者某几个个体的动态交通数据与多个仿真计算节点均相关,即agent中某个 个体或者某几个个体的交通行为跨越多个仿真计算节点时,由于仿真计算节点之间的通信数据量巨大,系统很难对于该agent的动态交通数据进行实时准确地计算和仿真,因此每当触发一个启动时间,基于agent模式的仿真系统就会对全部agent进行遍历以更新其状态,从而导致仿真性能下降,而且由于agent模式关注的个体是车辆,并不能解决路网维护的动态路网数据更新问题,因此只适用于静态路网,不能很好的解决路网信息升级问题,无法应对大规模交通仿真的需求。
考虑到上述问题,在该实施方式中,提出一种交通仿真装置,该装置以道路作为交通仿真的仿真单元,输出交通仿真结果。该技术方案不依赖于个体,只关注道路情况,借助道路之间的消息传递实现交通流变化的仿真,对于道路属性的变化也能够以最低成本实现更新,从而能够很好地解决路网维护的动态路网数据更新以及路网信息升级问题,能够应对大规模交通仿真的需求。
在本实施例的一个可选实现方式中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息,其中,所述道路属性信息包括以下信息中的一种或多种:道路所属交通区域、道路之间的连通性、道路长度、道路的起始位置和终止位置、道路形状、道路可行车道数量、道路最大可承载车辆数量、道路平均时速等等,其中,每条道路属于某个特定的交通区域,不同交通区域的道路不交叉;所述移动对象属性信息包括以下信息中的一种或多种:移动对象类别、移动对象平均时速、移动对象最大时速等等,其中,所述移动对象类别可包括重型机动车辆、中型机动车辆、小型机动车辆、三轮电动车、两轮电动车、三轮人力车、自行车、行人等类别;所述移动对象出行信息包括以下信息中的一种或多种:移动对象出发地、移动对象目的地、移动对象平均时速、移动对象出行路线规划、移动对象出行偏好等等。
在本实施例的一个可选实现方式中,所述交通区域既可以是根据行政划分区域也可以是根据区域交通监测需求人为确定的一个虚拟的地理区域,比如某几个街区所形成的区域等等。也就是说,所述交通区域可根据交通仿真的实际需求进行确定,本发明对其不作具体限定。
在本实施例的一个可选实现方式中,所述交通仿真初始化数据可以存放在同一设备中,也可以分别存放在不同的设备中,比如,所述交通仿真初始化数据可以存放在同一服务器或存储器中,当然,考虑到道路信息后续有可能进行更新,或者被请求以获取不同交通区域道路信息,为了简化请求流程,也可以将所述道路属性信息存放在名字服务器中,而将移动对象属性信息和移动对象出行信息存放在仿真数据库或仿真存储器中, 这样当移动对象属性信息和移动对象出行信息不变,只更新道路信息或者只请求道路信息时,就可以直接访问、请求或修改名字服务器即可。
在本实施例的一个可选实现方式中,所述名字服务器和仿真数据库的数量可根据实际应用的需要进行设置,本发明对其不作具体限定。
在本实施例的一个可选实现方式中,所述名字服务器采用主从备份的服务器,以确保容错性和鲁棒性,假设单台名字服务器的单点故障概率为10%,2台单点名字服务器同时发生故障的概率就降为1%,那么系统可用性就可高达99%。
获取模块801获取上述交通仿真初始化数据之后,仿真模块802就可以根据所述交通仿真初始化数据对仿真系统进行初始化配置,然后进行基于道路的交通仿真了。其中,所述基于道路的交通仿真指的是以预设交通区域即某一个交通区域道路作为交通仿真的仿真对象进行仿真,即仿真对象由现有技术中的agent转换为道路,具体地,仿真模块802在进行交通仿真时,重点关注道路数据,通过统计某一交通区域道路上产生的数据、以及不同交通区域道路数据之间的通信来实现交通流变化的仿真。
在本实施例的一个可选实现方式中,如图9所示,所述仿真模块802包括:
确定子模块901,被配置为确定交通仿真计算节点;
第一获取子模块902,被配置为获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
仿真子模块903,被配置为确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真。
为了能够对于道路属性的变化以最低成本实现更新,解决路网维护的动态路网数据更新以及路网信息升级所带来的计算量巨大的问题,在该实现方式中,所述仿真模块802根据所述交通仿真初始化数据进行基于道路的交通仿真,具体地:
确定子模块901确定交通仿真计算节点,考虑到所述交通仿真涉及多个交通区域的仿真计算,为了提高仿真数据的精确度,提升仿真效率,在该实现方式中,使用与所述交通区域相对应的多个交通仿真计算节点来进行并行仿真,具体地,每个交通仿真计算节点可负责一个交通区域的交通仿真,当然对于面积较大的交通区域也可以配置两个或多个交通仿真计算节点来负责,类似地,计算能力较强的交通仿真计算节点也可以负责两个或多个交通区域,本领域技术人员可根据实际应用的需要对于交通仿真计算节点的工作进行配置,本发明对其不作具体限定。在使用多个交通仿真计算节点进行并行仿真时,仿真之前,就需要确定完成此次仿真任务所需要的交通仿真计算节点,及其与所负 责交通区域之间的对应关系,并将上述配置信息存储在预设存储器或者名字服务器中,以供交通仿真计算节点请求调用。
在本实施例的一个可选实现方式中,所述交通仿真计算节点可以为计算机、单片机等计算设备。
第一获取子模块902获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息,如上文所述,所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息等交通仿真初始化数据既可以存放在同一设备中,也可以分别存放在不同的设备中,在获取上述交通仿真初始化数据时,可根据存储源的不同,向目的存储源请求相应的数据。
仿真子模块903确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真,其中,节点并行交通仿真指的是,多个交通仿真计算节点同时进行仿真,以提高仿真效率。
其中,所述交通仿真模型是以模拟道路交通系统中相对独立的实体或行为为目的而建立的,用于描述各实体的行为及其相互作用,并获取相应的模拟数据。在本实施例的一个可选实现方式中,所述交通仿真模型可根据实际应用的需要、交通仿真的目的以及交通仿真数据的特点进行设置,本发明对于所述交通仿真模型的具体表现形式不作特别限定。
在本实施例的一个可选实现方式中,所述仿真模块802还可包括对于跨交通区域仿真数据进行传输的部分,即如图10所示,所述仿真模块802包括:
确定子模块1001,被配置为确定交通仿真计算节点;
第一获取子模块1002,被配置为获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
仿真子模块1003,被配置为确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真;
第二获取子模块1004,被配置为响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
建立子模块1005,被配置为根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
发送子模块1006,被配置为将与移动至所述下一接续交通区域的移动对象相关的交 通仿真数据发送给所述接续交通仿真计算节点。
上文提及,不同的交通仿真计算节点负责不同交通区域的交通仿真,也就是说,当行人、机动车等移动对象在所述交通区域内部移动时,所有产生的数据和消息均可在相应交通仿真计算节点内部处理,不涉及不同交通仿真计算节点之间的通信,但如果行人、机动车等移动对象出现了跨区域移动,为了对于交通仿真数据进行整合,保证交通仿真数据的整体性,在该实现方式中,当检测到移动对象离开之前的交通区域,进入移动方向上的下一交通区域时,第二获取子模块1004需要获取下一交通区域对应的接续交通仿真计算节点的属性信息,建立子模块1005根据所述接续交通仿真计算节点的属性信息,建立两个节点之间的通信,以使发送子模块1006将与所述移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点,保证交通仿真数据的整体性。
在本实施例的一个可选实现方式中,为了保证接续交通仿真计算节点对于所述交通仿真数据处理的正确性,发送子模块1006在将与所述移动对象相关的交通仿真数据发送给接续交通仿真计算节点时,还可在被发送交通仿真数据中加入标识信息,以说明所述交通仿真数据的来源、相关的移动对象信息等等。
在本实施例的一个可选实现方式中,所述输出模块803被配置为:
按照预设仿真时间间隔输出交通仿真结果。
在本实施例的一个可选实现方式中,所述预设仿真时间间隔指的是预先设置的、输出交通仿真结果的时间间隔,用于表征所述交通仿真结果输出的频率,也能够体现所述交通仿真的颗粒度,比如可取为40ms、1s等等。其中,所述预设仿真时间间隔可根据实际应用的需要、交通仿真结果的颗粒度要求以及交通仿真数据的特点进行设置,对于所述预设仿真时间间隔的具体取值,本发明不作具体限定。
在本实施例的一个可选实现方式中,如图11所示,所述输出模块803包括:
收集子模块1101,被配置为响应于预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
处理子模块1102,被配置为对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果。
为了对于多个交通仿真计算节点生成的交通仿真数据进行整合和统一,呈现完整的交通仿真数据,在该实现方式中,当预设仿真时间间隔计时结束时,收集子模块1101就将所述交通仿真计算节点生成的交通仿真数据收集起来,形成交通仿真数据包;然后处理子模块1102再根据实际应用的需要对于所述交通仿真数据包进行预设聚合处理,最终 得到交通仿真结果。
其中,所述预设聚合处理可包括数据压缩、数据对齐、数据去噪等处理。在本实施例的一个可选实现方式中,在对于所述交通仿真数据包进行发送前,先对其进行数据压缩处理,这样能够避免频繁的网络通信而造成的数据传输延迟。
在本实施例的一个可选实现方式中,所述装置还可包括对于道路数据进行更新的部分,即如图12所示,所述装置包括:
获取模块1201,被配置为获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
仿真模块1202,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真;
输出模块1203,被配置为输出交通仿真结果;
更新模块1204,被配置为响应于接收到道路更新信息,基于所述道路更新信息对于所述道路属性信息以及所述交通仿真计算节点中的相关交通区域道路数据进行更新。
考虑到在实际应用中,经常存在路网维护、路网变更的情况,为了能够对于路网维护和路网变更及时进行反应,更正交通仿真数据,在该实现方式中,当接收到道路更新信息后,更新模块1204基于所述道路更新信息对于存储器或者服务器中存储的道路属性信息以及交通仿真计算节点中的相关交通区域道路数据进行更新。
上文提及,在本实施例的一个可选实现方式中,将所述道路属性信息存放在名字服务器中,将移动对象属性信息和移动对象出行信息存放在仿真数据库中,那么在接收到道路更新信息后,更新模块1204就可以只对名字服务器中存储的相关信息进行更新,而不增加仿真数据库的信令开销,从而达到节约操作成本,降低计算复杂度的目的。
在本实施例的一个可选实现方式中,所述装置还可包括对于所述交通仿真计算节点进行时间对齐管理的部分,即如图13所示,所述装置包括:
获取模块1301,被配置为获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
仿真模块1302,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真;
输出模块1303,被配置为输出交通仿真结果;
管理模块1304,被配置为对于所述交通仿真计算节点进行时间对齐管理。
由于多个交通仿真计算节点并行进行仿真,为了能够得到有效的交通仿真结果,避 免出现时间错位无法整合的情况,需要保证所有交通仿真计算节点的仿真数据的时间一致性,因此在该实现方式中,还需要设置管理模块1304对于所述交通仿真计算节点进行时间对齐管理,其中,所述时间对齐管理既可以在交通仿真计算节点进行仿真时执行,也可在进行数据聚合时执行,或者采用两种执行方式相结合的方式,即在交通仿真计算节点进行仿真时使得多个交通仿真计算节点的仿真数据的时间戳一致,在后续进行数据聚合时再对于不同交通仿真计算节点的仿真数据进行时间对齐检验,对于时间戳不一致的仿真数据进行时间对齐纠正。
在本实施例的一个可选实现方式中,所述装置还包括根据所述交通仿真结果执行交通管理的部分,即如图14所示,所述装置包括:
获取模块1401,被配置为获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
仿真模块1402,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真;
输出模块1403,被配置为输出交通仿真结果;
执行模块1404,被配置为根据所述交通仿真结果执行以下至少一项:
交通设施控制,动态可变车道设置,交通诱导,交通流量限制,或者调整导航数据。
在本实施例的一个可选实现方式中,执行模块1404可根据所述交通仿真结果对于交通信号灯等交通设施进行控制,包括控制交通设施的启动时间、持续启动时间等等;还可根据所述交通仿真结果进行动态可变车道设置,交通诱导,交通流量限流、禁行等交通流量限制,对于用户导航数据进行调整等等,以在减缓整体交通压力的同时,缩短用户出行用时,为交通管理以及相关策略的制定提供可靠的数据支持。
图15示出根据本发明一实施方式的交通仿真系统的结构框图,如图15所示,所述交通仿真系统包括:
存储器1501,被配置为存储、更新交通仿真初始化数据并响应于数据获取请求提供相应的被请求数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
交通仿真计算集群1502,与所述存储器连接,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真,其中,所述交通仿真计算集群包括两个或多个交通仿真计算节点15021;
聚合服务器1503,与所述交通仿真计算集群连接,被配置为对于所述交通仿真计算 集群的交通仿真数据进行聚合,并输出交通仿真结果。
所述交通仿真系统该装置以道路作为交通仿真的仿真对象,输出交通仿真结果,其不依赖于个体,只关注道路情况,借助道路之间的消息传递实现交通流变化的仿真,对于道路属性的变化也能够以最低成本实现更新,从而能够很好地解决路网维护的动态路网数据更新以及路网信息升级问题,能够应对大规模交通仿真的需求。
考虑到所述交通仿真涉及多个交通区域的仿真计算,为了提高仿真数据的精确度,提升仿真效率,在本实施例的一个可选实现方式中,所述两个或多个交通仿真计算节点对于相应交通区域进行分区并行仿真,也就是说,所述交通仿真计算集群中的两个或多个交通仿真计算节点同时进行仿真,并且负责不同的交通区域,比如,可以设置为每个交通仿真计算节点负责一个交通区域,对于面积较大的交通区域也可以配置两个或多个交通仿真计算节点来负责,类似地,计算能力较强的交通仿真计算节点也可以负责两个或多个交通区域,本领域技术人员可根据实际应用的需要对于交通仿真计算节点的工作进行配置,本发明对其不作具体限定。
在本实施例的一个可选实现方式中,所述交通仿真结果可用于进行以下至少一项:对于交通信号灯等交通设施进行控制,包括控制交通设施的启动时间、持续启动时间等等;对于动态可变车道进行设置;进行交通诱导;进行交通流量限流、禁行等交通流量限制;或者对于用户导航数据进行调整等等,以在减缓整体交通压力的同时,缩短用户出行用时,为交通管理以及相关策略的制定提供可靠的数据支持。
在本实施例的一个可选实现方式中,所述交通仿真计算集群中的交通仿真计算节点互相连接,或者至少负责相邻交通区域仿真的交通仿真计算节点互相连接,并且,所述交通仿真计算节点均与所述存储器连接,在仿真时,所述交通仿真计算集群中的交通仿真计算节点首先借助数据请求从所述存储器中获取相应交通区域的交通仿真初始化数据,然后基于所述交通仿真初始化数据进行不同交通区域的交通仿真。
在本实施例的一个可选实现方式中,所述交通仿真计算节点可以实现为计算机、单片机等计算设备。
在本实施例的一个可选实现方式中,所述交通仿真计算节点还可被配置为:
响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
上文提及,不同的交通仿真计算节点负责不同交通区域的交通仿真,也就是说,当行人、机动车等移动对象在所述交通区域内部移动时,所有产生的数据和消息均可在相应交通仿真计算节点内部处理,不涉及不同交通仿真计算节点之间的通信,但如果行人、机动车等移动对象出现了跨区域移动,为了对于交通仿真数据进行整合,保证交通仿真数据的整体性,在该实现方式中,当检测到移动对象离开之前的交通区域,进入移动方向上的下一交通区域时,上一交通仿真计算节点需要获取下一交通区域对应的接续交通仿真计算节点的属性信息,并根据所述接续交通仿真计算节点的属性信息,建立两个节点之间的通信,以将与所述移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点,保证交通仿真数据的整体性。
在本实施例的一个可选实现方式中,为了保证接续交通仿真计算节点对于所述交通仿真数据处理的正确性,上一交通仿真计算节点在将与所述移动对象相关的交通仿真数据发送给接续交通仿真计算节点时,还可在被发送交通仿真数据中加入标识信息,以说明所述交通仿真数据的来源、相关的移动对象信息等等。
在本实施例的一个可选实现方式中,如图16所示,所述存储器1501包括:
名字服务器1601,被配置为存储所述道路属性信息;
仿真存储器1602,被配置为存储所述移动对象属性信息和移动对象出行信息。
根据实际应用的需要,所述交通仿真初始化数据可以存放在同一存储器设备中,也可以分别存放在不同的存储器设备中,比如,考虑到道路信息后续有可能进行更新,或者被请求以获取不同交通区域道路信息,为了简化请求流程,可以将所述道路属性信息存放在名字服务器1601中,而将移动对象属性信息和移动对象出行信息另外存放在仿真存储器1602中,这样当移动对象属性信息和移动对象出行信息不变,只更新道路信息或者只请求道路信息时,就可以直接访问、请求或修改名字服务器1601即可。
在本实施例的一个可选实现方式中,所述名字服务器和仿真存储器的数量可根据实际应用的需要进行设置,本发明对其不作具体限定。
在本实施例的一个可选实现方式中,所述名字服务器为主从备份服务器,以确保容错性和鲁棒性,假设单台名字服务器的单点故障概率为10%,2台单点名字服务器同时发生故障的概率就降为1%,那么系统可用性就可高达99%。
在本实施例的一个可选实现方式中,所述存储器1501还被配置为:响应于接收到道 路更新信息,基于所述道路更新信息对于所述道路属性信息进行更新;以及,所述交通仿真计算节点15021还被配置为:响应于接收到道路更新信息,基于所述道路更新信息对于相关交通区域道路数据进行更新。
考虑到在实际应用中,经常存在路网维护、路网变更的情况,为了能够对于路网维护和路网变更及时进行反应,更正交通仿真数据,在该实现方式中,当接收到道路更新信息后,所述存储器1501就基于道路更新信息对其存储的交通区域道路属性信息进行更新,而所述交通仿真计算节点15021就基于道路更新信息对于相关的交通区域道路数据进行更新。
上文提及,在本实施例的一个可选实现方式中,将所述道路属性信息存放在名字服务器1601中,将移动对象属性信息和移动对象出行信息存放在仿真存储器1602中,那么在接收到道路更新信息后,就可以只在名字服务器1601中启动相关信息的更新,而不增加仿真存储器1602的信令开销,从而达到节约操作成本,降低计算复杂度的目的。
在本实施例的一个可选实现方式中,所述聚合服务器1503还被配置为按照预设仿真时间间隔输出交通仿真结果。
在本实施例的一个可选实现方式中,所述预设仿真时间间隔指的是预先设置的、输出交通仿真结果的时间间隔,用于表征所述交通仿真结果输出的频率,也能够体现所述交通仿真的颗粒度,比如可取为40ms、1s等等。其中,所述预设仿真时间间隔可根据实际应用的需要、交通仿真结果的颗粒度要求以及交通仿真数据的特点进行设置,对于所述预设仿真时间间隔的具体取值,本发明不作具体限定。
在本实施例的一个可选实现方式中,所述聚合服务器1503被配置为:
响应于所述预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果进行输出。
为了对于多个交通仿真计算节点生成的交通仿真数据进行整合和统一,呈现完整的交通仿真数据,在该实现方式中,当预设仿真时间间隔计时结束时,聚合服务器1503就将所述交通仿真计算节点生成的交通仿真数据收集起来,形成交通仿真数据包;然后再根据实际应用的需要对于所述交通仿真数据包进行预设聚合处理,最终得到交通仿真结果。
其中,所述预设聚合处理可包括数据压缩、数据对齐、数据去噪等处理。在本实施例的一个可选实现方式中,在对于所述交通仿真数据包进行发送前,先对其进行数据压 缩处理,这样能够避免频繁的网络通信而造成的数据传输延迟。
在本实施例的一个可选实现方式中,所述系统还包括:
时钟同步服务器1504,与所述交通仿真计算集群和/或聚合服务器连接,被配置为对于所述交通仿真计算节点和/或聚合服务器中的数据进行时间对齐管理。
由于多个交通仿真计算节点并行进行仿真,为了能够得到有效的交通仿真结果,避免出现时间错位无法整合的情况,需要保证所有交通仿真计算节点的仿真数据的时间一致性,因此在该实现方式中,还需要设置时钟同步服务器1504进行时间对齐管理,其中,所述时钟同步服务器1504既可以与交通仿真计算节点连接,在交通仿真计算节点处执行时间对齐,也可以与聚合服务器连接,以在聚合服务器进行数据聚合时执行时间对齐,或者与两者均连接,采用两种执行方式相结合的方式,比如在交通仿真计算节点进行仿真时使得多个交通仿真计算节点的仿真数据的时间戳一致,在后续进行数据聚合时再对于不同交通仿真计算节点的仿真数据进行时间对齐检验,以对于时间戳不一致的仿真数据进行时间对齐纠正。
本发明实施例还公开了一种电子设备,图17示出根据本发明一实施方式的电子设备的结构框图,如图17所示,所述电子设备1700包括存储器1701和处理器1702;其中,
所述存储器1701用于存储一条或多条计算机指令,其中,所述一条或多条计算机指令被所述处理器1702执行以实现上述任一方法步骤。
图18适于用来实现根据本发明实施方式的交通仿真方法的计算机系统的结构示意图。
如图18所示,计算机系统1800包括中央处理单元(CPU)1801,其可以根据存储在只读存储器(ROM)1802中的程序或者从存储部分1808加载到随机访问存储器(RAM)1803中的程序而执行上述实施方式中的各种处理。在RAM1803中,还存储有系统1800操作所需的各种程序和数据。CPU1801、ROM1802以及RAM1803通过总线1804彼此相连。输入/输出(I/O)接口1805也连接至总线1804。
以下部件连接至I/O接口1805:包括键盘、鼠标等的输入部分1806;包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分1807;包括硬盘等的存储部分1808;以及包括诸如LAN卡、调制解调器等的网络接口卡的通信部分1809。通信部分1809经由诸如因特网的网络执行通信处理。驱动器1810也根据需要连接至I/O接口1805。可拆卸介质1811,诸如磁盘、光盘、磁光盘、半导体存储器等等,根据需要安装在驱动器1810上,以便于从其上读出的计算机程序根据需要被安装入存储部分 1808。
特别地,根据本发明的实施方式,上文描述的方法可以被实现为计算机软件程序。例如,本发明的实施方式包括一种计算机程序产品,其包括有形地包含在及其可读介质上的计算机程序,所述计算机程序包含用于执行所述交通仿真方法的程序代码。在这样的实施方式中,该计算机程序可以通过通信部分1809从网络上被下载和安装,和/或从可拆卸介质1811被安装。
附图中的流程图和框图,图示了按照本发明各种实施方式的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上,路程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分,所述模块、程序段或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意,在有些作为替换的实现中,方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如,两个接连地表示的方框实际上可以基本并行地执行,它们有时也可以按相反的顺序执行,这依所涉及的功能而定。也要注意的是,框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合,可以用执行规定的功能或操作的专用的基于硬件的系统来实现,或者可以用专用硬件与计算机指令的组合来实现。
描述于本发明实施方式中所涉及到的单元或模块可以通过软件的方式实现,也可以通过硬件的方式来实现。所描述的单元或模块也可以设置在处理器中,这些单元或模块的名称在某种情况下并不构成对该单元或模块本身的限定。
作为另一方面,本发明实施例还提供了一种计算机可读存储介质,该计算机可读存储介质可以是上述实施方式中所述装置中所包含的计算机可读存储介质;也可以是单独存在,未装配入设备中的计算机可读存储介质。计算机可读存储介质存储有一个或者一个以上程序,所述程序被一个或者一个以上的处理器用来执行描述于本发明实施例的方法。
以上描述仅为本发明的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解,本发明实施例中所涉及的发明范围,并不限于上述技术特征的特定组合而成的技术方案,同时也应涵盖在不脱离所述发明构思的情况下,由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本发明实施例中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。

Claims (27)

  1. 一种交通仿真方法,其特征在于,包括:
    获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
    根据所述交通仿真初始化数据进行基于道路的交通仿真;
    输出交通仿真结果。
  2. 根据权利要求1所述的方法,其特征在于,所述根据所述交通仿真初始化数据进行基于道路的交通仿真,包括:
    确定交通仿真计算节点;
    获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
    确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真。
  3. 根据权利要求2所述的方法,其特征在于,所述根据所述交通仿真初始化数据进行基于道路的交通仿真,还包括:
    响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
    根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
    将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
  4. 根据权利要求1-3任一所述的方法,其特征在于,所述输出交通仿真结果,被实施为:
    按照预设仿真时间间隔输出交通仿真结果。
  5. 根据权利要求4所述的方法,其特征在于,所述按照预设仿真时间间隔输出交通仿真结果,包括:
    响应于预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
    对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果。
  6. 根据权利要求2-5任一所述的方法,其特征在于,还包括:
    响应于接收到交通区域道路更新信息,基于所述交通区域道路更新信息对于所述交通区域道路属性信息以及所述交通仿真计算节点中的相关交通区域道路数据进行更新。
  7. 根据权利要求2-6任一所述的方法,其特征在于,还包括:
    对于所述交通仿真计算节点进行时间对齐管理。
  8. 根据权利要求1-7任一所述的方法,其特征在于,还包括:根据所述交通仿真结果执行以下至少一项:
    交通设施控制,动态可变车道设置,交通诱导,交通流量限制,或者调整导航数据。
  9. 一种交通仿真装置,其特征在于,包括:
    获取模块,被配置为获取交通仿真初始化数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
    仿真模块,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真;
    输出模块,被配置为输出交通仿真结果。
  10. 根据权利要求9所述的装置,其特征在于,所述仿真模块包括:
    确定子模块,被配置为确定交通仿真计算节点;
    第一获取子模块,被配置为获取与所述交通仿真计算节点对应的交通区域道路属性信息、移动对象属性信息和移动对象出行信息;
    仿真子模块,被配置为确定交通仿真模型,并根据所述交通区域道路属性信息、移动对象属性信息和移动对象出行信息,利用所述交通仿真模型进行节点并行交通仿真。
  11. 根据权利要求10所述的装置,其特征在于,所述仿真模块还包括:
    第二获取子模块,被配置为响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
    建立子模块,被配置为根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
    发送子模块,被配置为将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
  12. 根据权利要求9-11任一所述的装置,其特征在于,所述输出模块被配置为:
    按照预设仿真时间间隔输出交通仿真结果。
  13. 根据权利要求12所述的装置,其特征在于,所述输出模块包括:
    收集子模块,被配置为响应于预设仿真时间间隔计时结束,收集所述交通仿真计算 节点生成的交通仿真数据,得到交通仿真数据包;
    处理子模块,被配置为对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果。
  14. 根据权利要求10-13任一所述的装置,其特征在于,还包括:
    更新模块,被配置为响应于接收到交通区域道路更新信息,基于所述交通区域道路更新信息对于所述交通区域道路属性信息以及所述交通仿真计算节点中的相关交通区域道路数据进行更新。
  15. 根据权利要求10-14任一所述的装置,其特征在于,还包括:
    管理模块,被配置为对于所述交通仿真计算节点进行时间对齐管理。
  16. 根据权利要求9-15任一所述的装置,其特征在于,还包括:
    执行模块,被配置为根据所述交通仿真结果执行以下至少一项:
    交通设施控制,动态可变车道设置,交通诱导,交通流量限制,或者调整导航数据。
  17. 一种交通仿真系统,其特征在于,包括:
    存储器,被配置为存储、更新交通仿真初始化数据并响应于数据获取请求提供相应的被请求数据,其中,所述交通仿真初始化数据包括以下信息中的一种或几种:道路属性信息、移动对象属性信息、移动对象出行信息;
    交通仿真计算集群,与所述存储器连接,被配置为根据所述交通仿真初始化数据进行基于道路的交通仿真,其中,所述交通仿真计算集群包括两个或多个交通仿真计算节点;
    聚合服务器,与所述交通仿真计算集群连接,被配置为对于所述交通仿真计算集群的交通仿真数据进行聚合,并输出交通仿真结果。
  18. 根据权利要求17所述的系统,其特征在于,所述两个或多个交通仿真计算节点对于相应交通区域进行分区并行仿真。
  19. 根据权利要求18所述的系统,其特征在于,所述交通仿真计算节点还被配置为:
    响应于检测到所述移动对象离开预设交通仿真计算节点对应的交通区域,获取所述移动对象移动方向上下一接续交通区域对应的接续交通仿真计算节点的属性信息;
    根据所述接续交通仿真计算节点的属性信息,建立所述预设交通仿真计算节点与接续交通仿真计算节点之间的通信;
    将与移动至所述下一接续交通区域的移动对象相关的交通仿真数据发送给所述接续交通仿真计算节点。
  20. 根据权利要求17-19任一所述的系统,其特征在于,所述存储器包括:
    名字服务器,被配置为存储所述道路属性信息;
    仿真存储器,被配置为存储所述移动对象属性信息和移动对象出行信息。
  21. 根据权利要求20所述的系统,其特征在于,所述名字服务器为主从备份服务器。
  22. 根据权利要求17-21任一所述的系统,其特征在于,所述存储器还被配置为:响应于接收到道路更新信息,基于所述道路更新信息对于所述道路属性信息进行更新;以及
    所述交通仿真计算节点还被配置为:响应于接收到道路更新信息,基于所述道路更新信息对于相关交通区域道路数据进行更新。
  23. 根据权利要求17-21任一所述的系统,其特征在于,所述聚合服务器还被配置为按照预设仿真时间间隔输出交通仿真结果。
  24. 根据权利要求23所述的系统,其特征在于,所述聚合服务器被配置为:
    响应于预设仿真时间间隔计时结束,收集所述交通仿真计算节点生成的交通仿真数据,得到交通仿真数据包;
    对于所述交通仿真数据包进行预设聚合处理,得到交通仿真结果进行输出。
  25. 根据权利要求17-24任一所述的系统,其特征在于,还包括:
    时钟同步服务器,与所述交通仿真计算集群和/或聚合服务器连接,被配置为对于所述交通仿真计算节点和/或聚合服务器中的数据进行时间对齐管理。
  26. 一种电子设备,其特征在于,包括存储器和处理器;其中,
    所述存储器用于存储一条或多条计算机指令,其中,所述一条或多条计算机指令被所述处理器执行以实现权利要求1-8任一项所述的方法步骤。
  27. 一种计算机可读存储介质,其上存储有计算机指令,其特征在于,该计算机指令被处理器执行时实现权利要求1-8任一项所述的方法步骤。
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