WO2021208327A1 - Road optimization method, system and terminal, and computer-readable storage medium - Google Patents

Road optimization method, system and terminal, and computer-readable storage medium Download PDF

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WO2021208327A1
WO2021208327A1 PCT/CN2020/112466 CN2020112466W WO2021208327A1 WO 2021208327 A1 WO2021208327 A1 WO 2021208327A1 CN 2020112466 W CN2020112466 W CN 2020112466W WO 2021208327 A1 WO2021208327 A1 WO 2021208327A1
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road
optimized
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田鹏
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平安科技（深圳）有限公司
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
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    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

Abstract

A road optimization method, system and terminal, and a computer-readable storage medium. Said method comprises: acquiring current space data, a current road level, and historical traffic of people and/or vehicles of a road to be optimized, and space data corresponding to an influence factor of said road (S10); obtaining a demand level of said road according to the current space data of said road and the space data corresponding to the influence factor (S20); determining whether the current road level of said road satisfies the demand level of said road (S30); if it is determined that the current road level of said road does not satisfy the demand level of said road, generating a current three-dimensional model of said road according to the current space data of said road (S40); and optimizing the current space data of said road according to the current three-dimensional model and the historical traffic of people and/or vehicles of said road, so as to obtain optimized space data of said road (S50).

Description

道路优化方法、系统、终端及计算机可读存储介质Road optimization method, system, terminal and computer readable storage medium
优先权申明Priority declaration
本申请要求于2020年4月17日提交中国专利局、申请号为202010309235.4，发明名称为“道路优化方法、系统、终端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。This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on April 17, 2020 with the application number 202010309235.4 and the invention title "Road optimization method, system, terminal and computer readable storage medium". The entire content of the application is approved The reference is incorporated in this application.
技术领域Technical field
本申请涉及数据处理技术领域，尤其涉及一种道路优化方法、系统、终端及计算机可读存储介质。This application relates to the field of data processing technology, and in particular to a road optimization method, system, terminal, and computer-readable storage medium.
背景技术Background technique
城市道路是重要的交通基础设施之一，城市道路的发展在很大程度上改变了民众出行方式，缩短了时空距离。伴随着经济的高速发展和城市化进程速度加快，现有的道路已经不能匹配急剧增长的城市人口和车辆对交通道路的需求，导致城市交通拥堵问题日益突出。为了解决城市交通拥堵问题，需要对现有道路进行重新规划和改造。然而，发明人发现，当前道路规划方法都是基于单纯的数值，对当前道路的拥堵原因进行纯数值分析，生成改造方案，但采用纯数值分析并不能直观的反映拥堵原因，从而生成的改造方案对解决道路拥堵的效果不佳。Urban roads are one of the important transportation infrastructures. The development of urban roads has changed the way people travel to a large extent and shortened the distance between time and space. With the rapid development of the economy and the acceleration of the urbanization process, the existing roads can no longer match the rapid growth of urban population and the demand for traffic roads by vehicles, resulting in the increasingly prominent problem of urban traffic congestion. In order to solve the problem of urban traffic congestion, existing roads need to be re-planned and transformed. However, the inventor found that the current road planning methods are all based on pure numerical values and perform purely numerical analysis of the current road congestion causes to generate a reconstruction plan, but the pure numerical analysis cannot intuitively reflect the cause of the congestion, and the resulting reconstruction plan is generated. The effect of solving road congestion is not good.
申请内容Application content
本申请的主要目的在于提出一种道路优化方法、道路优化系统、道路优化终端及计算机可读存储介质，旨在解决现有技术中对道路采用纯数值分析方法生成的改造方案对解决拥堵效果不佳的技术问题。The main purpose of this application is to propose a road optimization method, a road optimization system, a road optimization terminal and a computer-readable storage medium. The best technical question.
为实现上述目的，本申请提供一种道路优化方法，所述道路优化方法包括步骤：In order to achieve the above objective, the present application provides a road optimization method, the road optimization method includes the steps:
获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, obtain the demand level of the road to be optimized;
判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；If it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, the current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。According to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain the optimized spatial data of the road to be optimized.
此外，为实现上述目的，本申请提供一种道路优化系统，所述道路优化系统包括：In addition, in order to achieve the above objective, the present application provides a road optimization system, the road optimization system includes:
获取模块，配置为获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；The acquisition module is configured to acquire the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
获得模块，配置为根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；The obtaining module is configured to obtain the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors;
判断模块，配置为判断待优化道路的当前道路等级是否满足待优化道路的需求等级；The judgment module is configured to judge whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
生成模型，配置为若否，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；Generate a model, and if configured to not, generate the current three-dimensional model of the road to be optimized according to the current spatial data of the road to be optimized;
优化模块，配置为根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。The optimization module is configured to optimize the current spatial data of the road to be optimized according to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles to obtain the optimized spatial data of the road to be optimized.
此外，为实现上述目的，本申请还提供一种道路优化终端，所述道路优化终端包括存储器、处理器和存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现道路优化方法的步骤：In addition, in order to achieve the above object, the present application also provides a road optimization terminal, the road optimization terminal includes a memory, a processor, and a computer program stored in the memory and running on the processor, the computer The steps of the road optimization method when the program is executed by the processor:
获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, obtain the demand level of the road to be optimized;
判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；If it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, the current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。According to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain the optimized spatial data of the road to be optimized.
此外，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现道路优化方法的步骤：In addition, in order to achieve the above object, the present application also provides a computer-readable storage medium having a computer program stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the road optimization method are implemented:
获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, obtain the demand level of the road to be optimized;
判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；If it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, the current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。According to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain the optimized spatial data of the road to be optimized.
本申请提出的一种道路优化方法、道路优化系统、道路优化终端及计算机可读存储介质，通过获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化 道路的影响因素对应的空间数据；根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；判断待优化道路的当前道路等级是否满足待优化道路的需求等级；若否，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。从而根据评分模型筛选出确定需要优化的道路，然后基于道路的空间数据对道路进行三维建模，并基于历史人流量和历史车流量在三维建模上对道路的拥堵情况进行分析，提供了更多的细节，使得道路设计人员可以从宏观到微观可整体的预览整个交通道路的拥堵情况，进而使得道路设计人员设计出针对性解决拥堵的优化方案，提高了对拥堵问题的解决效果。The road optimization method, road optimization system, road optimization terminal, and computer-readable storage medium proposed in this application can obtain the current spatial data, current road level, historical flow of people and/or vehicles, and the road to be optimized by acquiring the current spatial data of the road to be optimized Spatial data corresponding to the influencing factors; obtain the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors; determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized; if not , According to the current spatial data of the road to be optimized, the current 3D model of the road to be optimized is generated; according to the current 3D model of the road to be optimized, the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain Optimized spatial data of roads. Therefore, according to the scoring model, the roads that need to be optimized are screened out, and then the roads are modeled in three dimensions based on the spatial data of the roads, and the congestion of the roads is analyzed on the three-dimensional modeling based on the historical pedestrian flow and historical vehicle flow, which provides more information. The many details allow road designers to preview the congestion situation of the entire traffic road from the macro to the micro, so that the road designers can design a targeted solution to the congestion optimization plan, and improve the solution to the congestion problem.
附图说明Description of the drawings
图1是本申请实施例方案涉及的硬件运行环境的结构示意图；FIG. 1 is a schematic structural diagram of a hardware operating environment involved in a solution of an embodiment of the present application;
图2为本申请道路优化方法第一实施例的流程示意图；2 is a schematic flowchart of a first embodiment of a road optimization method according to this application;
图3为本申请道路优化方法第一实施例中步骤S20的细化流程示意图；3 is a schematic diagram of the detailed flow of step S20 in the first embodiment of the road optimization method of this application;
图4为本申请道路优化方法第一实施例中步骤S20的细化流程示意图；4 is a schematic diagram of the detailed flow of step S20 in the first embodiment of the road optimization method of this application;
图5为本申请道路优化方法第二实施例中步骤S50的细化流程示意图；5 is a schematic diagram of the detailed flow of step S50 in the second embodiment of the road optimization method of this application;
图6为本申请道路优化方法第三实施例的流程示意图；6 is a schematic flowchart of a third embodiment of a road optimization method according to this application;
图7为本申请道路优化系统的功能模块示意图。Figure 7 is a schematic diagram of the functional modules of the road optimization system of this application.
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。The realization, functional characteristics, and advantages of the purpose of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.
具体实施方式Detailed ways
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。It should be understood that the specific embodiments described here are only used to explain the present application, and are not used to limit the present application.
请参照图1，图1为本申请各个实施例中所提供的道路优化终端的硬件结构示意图。所述道路优化终端包括通信模块100、存储器200及处理器300等部件。本领域技术人员可以理解，图1中所示出的道路优化终端还可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。其中，所述处理器300分别与所述存储器200和所述通信模块100连接，所述存储器200上存储有计算机程序，所述计算机程序同时被处理器300执行。Please refer to FIG. 1, which is a schematic diagram of the hardware structure of a road optimization terminal provided in various embodiments of this application. The road optimization terminal includes components such as a communication module 100, a memory 200, and a processor 300. Those skilled in the art can understand that the road optimization terminal shown in FIG. 1 may also include more or fewer components than those shown in the figure, or combine certain components, or different component arrangements. The processor 300 is respectively connected to the memory 200 and the communication module 100, and a computer program is stored on the memory 200, and the computer program is executed by the processor 300 at the same time.
通信模块100，可通过网络与外部设备连接。通信模块100可以接收外部设备发出的数据，还可发送数据、指令及信息至所述外部设备，所述外部设备可以是手机、平板电脑、笔记本电脑和台式电脑等电子设备。The communication module 100 can be connected to external devices via a network. The communication module 100 can receive data sent by an external device, and can also send data, instructions, and information to the external device. The external device may be an electronic device such as a mobile phone, a tablet computer, a notebook computer, and a desktop computer.
存储器200，可用于存储软件程序以及各种数据。存储器200可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(获取待优化道路的当前空间数据)等；存储数据区可存储根据道路优化终端的使用所创建的数据或信息等。此外，存储器200可以包括高速随机存取存储器，还可以包括非易失性存储 器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。The memory 200 can be used to store software programs and various data. The memory 200 may mainly include a storage program area and a storage data area. The storage program area may store an operating system, an application program required by at least one function (to obtain the current spatial data of the road to be optimized), etc.; the storage data area may store data according to the road Optimize the data or information created by the use of the terminal. In addition, the memory 200 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.
处理器300，是道路优化终端的控制中心，利用各种接口和线路连接整个道路优化终端的各个部分，通过运行或执行存储在存储器200内的软件程序和/或模块，以及调用存储在存储器200内的数据，执行道路优化终端的各种功能和处理数据，从而对道路优化终端进行整体监控。处理器300可包括一个或多个处理单元；优选的，处理器300可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器300中。The processor 300 is the control center of the road optimization terminal, which uses various interfaces and lines to connect the various parts of the entire road optimization terminal, runs or executes software programs and/or modules stored in the memory 200, and calls the storage 200 The internal data performs various functions and processing data of the road optimization terminal, so as to monitor the road optimization terminal as a whole. The processor 300 may include one or more processing units; preferably, the processor 300 may integrate an application processor and a modem processor, where the application processor mainly processes the operating system, user interface, application programs, etc., and the modem The processor mainly deals with wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 300.
尽管图1未示出，但上述道路优化终端还可以包括电路控制模块，电路控制模块配置为与市电连接，实现电源控制，保证其他部件的正常工作。Although not shown in FIG. 1, the above-mentioned road optimization terminal may also include a circuit control module, which is configured to be connected to the mains to realize power control and ensure the normal operation of other components.
本领域技术人员可以理解，图1中示出的道路优化终端结构并不构成对道路优化终端的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。Those skilled in the art can understand that the road optimization terminal structure shown in FIG. 1 does not constitute a limitation on the road optimization terminal, and may include more or less components than shown in the figure, or a combination of certain components, or different components Layout.
根据上述硬件结构，提出本申请方法各个实施例。Based on the above hardware structure, various embodiments of the method of the present application are proposed.
参照图2，在本申请道路优化方法的第一实施例中，所述道路优化方法包括步骤：2, in the first embodiment of the road optimization method of the present application, the road optimization method includes the steps:
步骤S10，获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；Step S10: Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
在本实施例中，终端可以采用预设的GIS软件基于点、线、面的维度导出待优化道路的当前空间数据和待优化道路的影响因素的空间数据时，可以以GIS软件中当前地图坐标系统为基准，或者也可以重新指定新的空间参考系统。待优化道路的当前空间数据包括待优化道路的总长数据和总宽数据，各分段的长、宽、曲线半径、坡度、走向，车道数量和每条车道宽，人行道数量和人行道宽，待优化道路的入口位置和宽度，与其他道路的交汇口位置和宽度，待优化道路上的天桥位置、宽度和数量，待优化道路中的地下通道位置、宽度和数量等。待优化道路的影响因素包括学校、医院、市场、商场和居民小区等，影响因素的空间数据主要为位置数据，该位置数据可以为经纬度，也可以为以待优化道路为参考系的相对位置。In this embodiment, when the terminal can use the preset GIS software to export the current spatial data of the road to be optimized and the spatial data of the influencing factors of the road to be optimized based on the dimensions of points, lines, and surfaces, the current map coordinates in the GIS software can be used. The system is used as the reference, or a new spatial reference system can be re-designated. The current spatial data of the road to be optimized includes the total length and width of the road to be optimized, the length, width, curve radius, slope, direction of each segment, the number of lanes and the width of each lane, the number of sidewalks and sidewalk width, to be optimized The position and width of the entrance of the road, the position and width of the intersection with other roads, the position, width and number of overpasses on the road to be optimized, and the position, width and number of underpasses in the road to be optimized. The influencing factors of the road to be optimized include schools, hospitals, markets, shopping malls, and residential communities. The spatial data of the influencing factors are mainly location data. The location data can be latitude and longitude, or the relative position with the road to be optimized as a reference frame.
待优化道路的历史人流量包括待优化道路的历史总人流量、待优化道路两边各自的历史人流量，该历史人流量可以为在预设时间(例如近一年或近半年)内统计的人流量峰值或人流量均值，也可以是在预设时间(例如近一年或近半年)内统计的不同时间段的人流量峰值或人流量均值。The historical pedestrian flow of the road to be optimized includes the total historical pedestrian flow of the road to be optimized, and the historical pedestrian flow of each side of the road to be optimized. The historical pedestrian flow can be the number of people counted within a preset time (for example, the past year or half a year) The peak flow rate or the average flow rate of people may also be the peak flow rate or the average flow rate of people in different time periods calculated in a preset time (for example, the past year or the past six months).
待优化道路的历史车流量包括待优化道路的历史总车流量、待优化道路两个不同走向的历史车流量，该历史车流量可以为在预设时间(例如近一年或近半年)内统计的车流量峰值或车流量均值，也可以是预设时间(例如近一年或近半年)内统计的不同时间段的车流量峰值或车流量均值。The historical traffic flow of the road to be optimized includes the historical total traffic flow of the road to be optimized and the historical traffic flow of two different directions on the road to be optimized. The historical traffic flow can be counted within a preset time (for example, the past year or the past six months) The peak or mean value of the traffic volume can also be the peak value or the mean value of the traffic volume in different time periods calculated within a preset time (for example, the past year or the past half a year).
步骤S20，根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；Step S20: Obtain the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors;
道路的等级和道路的设计可容纳最大人流量和车流量有关，不同等级的道路，其可容纳的最大人流量和车流量是不同的。由于距离待优化道路一定预设范围内的影响因素包括学校、医院、市场、商场和居民小区等，这些因素的多少、占地面积、规模和距离道路的远近都会影响待优化道路上的人流量和车流量。在道路初始设计阶段，其道路的设计等级是根据设计时预设范围内的影响因素确定的，即当时道路的设计等级和需求等级是相同的。随着道路周边的发展，其影响因素也发生变化，故道路的需求等级也是发生变化的。终端可以根据获取的待优化道路的当前空间数据和待优化道路的影响因素，确定待优化道路的当前需求等级。The level of the road and the design of the road are related to the maximum flow of people and the flow of vehicles. Roads of different levels have different maximum flow of people and vehicles. Since the influencing factors within a certain preset range of the road to be optimized include schools, hospitals, markets, shopping malls and residential communities, the number of these factors, floor space, scale and distance from the road will affect the flow of people on the road to be optimized And traffic flow. In the initial design stage of the road, the design level of the road is determined according to the influencing factors within the preset range during the design, that is, the design level and the demand level of the road at that time are the same. With the development of the road surroundings, its influencing factors also change, so the demand level of the road also changes. The terminal can determine the current demand level of the road to be optimized according to the acquired current spatial data of the road to be optimized and the influencing factors of the road to be optimized.
具体地，请参照图3，图3为本申请实施中步骤S20的流程细化示意图，基于上述实施例，所述步骤S20包括：Specifically, please refer to FIG. 3, which is a detailed schematic diagram of the process of step S20 in the implementation of this application. Based on the above embodiment, the step S20 includes:
步骤S21，根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路与对应的各影响因素间的距离；Step S21: Obtain the distance between the road to be optimized and the corresponding influencing factors according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors;
根据待优化道路的当前空间数据和待优化道路的影响因素的空间数据，可以计算出待优化道路与对应的影响因素间的距离，该距离可以是影响因素与待优化道路的最短距离，也可以是影响因素和待优化道路中与影响因素最近的入口间的直线距离。According to the current spatial data of the road to be optimized and the spatial data of the influencing factors of the road to be optimized, the distance between the road to be optimized and the corresponding influencing factor can be calculated. This distance can be the shortest distance between the influencing factor and the road to be optimized, or It is the linear distance between the influencing factor and the nearest entrance to the influencing factor in the road to be optimized.
步骤S22，将待优化道路与对应的各影响因素间的距离和各影响因素对应的预设权重输入至第一道路评分模型
Figure PCTCN2020112466-appb-000001
中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x i为待优化道路与对应的第i个影响因素间的距离，f i为待优化道路的第i个影响因素的预设权重，N为待优化道路的影响因素的总数； Step S22: Input the distance between the road to be optimized and the corresponding influencing factors and the preset weight corresponding to each influencing factor into the first road scoring model
Figure PCTCN2020112466-appb-000001
, Obtain the scoring score of the road to be optimized, where F is the scoring score of the road to be optimized, x i is the distance between the road to be optimized and the corresponding i-th influencing factor, and f i is the i-th influencing factor of the road to be optimized The preset weight of, N is the total number of influencing factors of the road to be optimized;
终端上可以预存储了各影响因素对应的预设权重，对各影响因素预设权重可以按照影响因素属于的类型预设不同的权重，学校的预设权重为a，医院的预设权重为b，商场或市场的权重为c，还可以对属于同一类型具有不同规模的影响因素设置不同的权重，例如学生人数超过1000的学校的权重为a1，学生人数500-1000的学校权重为a2，其中a1大于a2。终端获得各影响因素与待优化道路间的距离和各影响因素对应的预设权重后，输入至第一道路评分模型
Figure PCTCN2020112466-appb-000002
中，评分模型可以预先设置在终端中，通过第一道路评分模型对各影响因素与待优化道路间的距离和各影响因素对应的预设权重进行加权平均计算，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x i为待优化道路与对应的第i个影响因素间的距离，f i为待优化道路的第i个影响因素的预设权重，N为待优化道路的影响因素的总数。 The preset weight corresponding to each influencing factor can be pre-stored on the terminal. The preset weight of each influencing factor can be preset with different weights according to the type of the influencing factor. The preset weight of the school is a, and the preset weight of the hospital is b. , The weight of a shopping mall or market is c, and different weights can be set for influencing factors of the same type with different scales. For example, the weight of a school with more than 1000 students is a1, and the weight of a school with 500-1000 students is a2, where a1 is greater than a2. The terminal obtains the distance between each influencing factor and the road to be optimized and the preset weight corresponding to each influencing factor, and then inputs it to the first road scoring model
Figure PCTCN2020112466-appb-000002
In the scoring model, the scoring model can be set in the terminal in advance, and the distance between each influencing factor and the road to be optimized and the preset weight corresponding to each influencing factor are calculated by the weighted average calculation through the first road scoring model to obtain the scoring score of the road to be optimized. Where F is the scoring score of the road to be optimized, x i is the distance between the road to be optimized and the corresponding i-th influencing factor, f i is the preset weight of the i-th influencing factor of the road to be optimized, and N is the road to be optimized The total number of influencing factors.
步骤S23，从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。Step S23: Query the road grade corresponding to the scoring score of the road to be optimized from the preset mapping relationship between the road scoring score and the road grade, so as to determine the inquired road grade as the demand level of the road to be optimized.
终端从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，将查询到的道路等级确定为待优化道路的需求等级，其中道路的评分分数与道路等级间的预设映射关系可以预先存储在终端中。The terminal queries the road grade corresponding to the scoring score of the road to be optimized from the preset mapping relationship between the road scoring score and the road grade, and determines the queried road grade as the demand level of the road to be optimized, where the road scoring score The preset mapping relationship with the road class can be stored in the terminal in advance.
还可以，请参照图4，图4为本申请实施中步骤S20的流程细化示意图，基于上述实 施例，所述步骤S20包括：It is also possible to refer to Fig. 4, which is a detailed schematic diagram of the process of step S20 in the implementation of this application. Based on the above embodiment, the step S20 includes:
步骤S24，将待优化道路划分为至少两段子道路，以根据待优化道路的当前空间数据获得各子道路的空间数据；Step S24, dividing the road to be optimized into at least two sub-roads, so as to obtain the spatial data of each sub-road according to the current spatial data of the road to be optimized;
可能在某些待优化道路比较长以及其影响因素也比较多情况下，终端会将待优化道路进行分段，将待优化道路划分为至少两段子道路，同时对待优化道路的当前空间数据进行对应的划分，获得各段子道路的空间数据。In some cases where the road to be optimized is relatively long and there are many influencing factors, the terminal will segment the road to be optimized, divide the road to be optimized into at least two sections of sub-roads, and correspond to the current spatial data of the road to be optimized To obtain the spatial data of each section of road.
步骤S25，根据各子道路的空间数据和影响因素对应的空间数据，获得各子道路的对应的影响因素；Step S25: Obtain the corresponding influencing factors of each sub-road according to the spatial data of each sub-road and the corresponding spatial data of the influencing factors;
终端根据各段子道路的空间数据，会为各段子道路划分对应的受影响范围，每段子道路的受影响范围是不重叠的，相邻两端的子道路的受影响范围具有同一条边界。终端根据待优化道路上的各影响因素的空间数据和各子道路的受影响范围，将各影响因素划分为不同子道路的影响因素，例如根据影响因素A的空间数据可以确定影响因素A落在子道路B的受影响范围内，则将影响因素A划分为子道路B的影响因素。According to the spatial data of each section of the sub-road, the terminal will divide the corresponding affected range for each section of the sub-road. The affected range of each section of the sub-road does not overlap, and the affected ranges of the sub-roads at adjacent ends have the same boundary. According to the spatial data of each influencing factor on the road to be optimized and the affected range of each sub-road, the terminal divides each influencing factor into the influencing factors of different sub-roads. For example, according to the spatial data of influencing factor A, it can be determined that influencing factor A falls on Within the affected range of sub-road B, the influencing factor A is divided into the influencing factors of sub-road B.
步骤S26，根据各子道路的空间数据和对应的影响因素的空间数据，获得各子道路与对应的影响因素的距离；Step S26, according to the spatial data of each sub-road and the corresponding spatial data of the influencing factor, obtain the distance between each sub-road and the corresponding influencing factor;
终端确定各子道路的影响因素后，会根据各子道路的空间数据和对应的各影响因素的空间数据，可以计算出各子道路与对应的各影响因素间的距离，该距离可以是影响因素与对应子道路的最短距离，也可以是影响因素和子道路中与影响因素最近的入口间的直线距离。After the terminal determines the influencing factors of each sub-road, it can calculate the distance between each sub-road and the corresponding influencing factor based on the spatial data of each sub-road and the corresponding spatial data of each influencing factor, and this distance can be an influencing factor The shortest distance to the corresponding sub-road can also be the straight-line distance between the influencing factor and the nearest entrance of the influencing factor in the sub-road.
步骤S27，将各段子道路与对应的影响因素的距离和各影响因素的预设权重输入至第二道路评分模型
Figure PCTCN2020112466-appb-000003
中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x ij为第j段子道路与对应的第i个影响因素的距离，f ij为第j段子道路与对应的第i个影响因素的预设权重，N j为第j段子道路的影响因素的总数，M为待优化道路的子道路总数； Step S27: Input the distance between each segment of the road and the corresponding influencing factor and the preset weight of each influencing factor into the second road scoring model
Figure PCTCN2020112466-appb-000003
, Obtain the score of the road to be optimized, where F is the score of the road to be optimized, x ij is the distance between the j-th sub-road and the corresponding i-th influencing factor, and f ij is the j-th sub-road and the corresponding i-th The preset weight of each influencing factor, N j is the total number of influencing factors of the j-th sub-road, and M is the total number of sub-roads of the road to be optimized;
终端上可以预存储了各影响因素对应的预设权重，对各影响因素预设权重可以按照影响因素属于的类型预设不同的权重，学校的预设权重为a，医院的预设权重为b，商场或市场的权重为c，还可以对属于同一类型具有不同规模的影响因素设置不同的权重，例如学生人数超过1000的学校的权重为a1，学生人数500-1000的学校权重为a2，其中a1大于a2。The preset weight corresponding to each influencing factor can be pre-stored on the terminal. The preset weight of each influencing factor can be preset with different weights according to the type of the influencing factor. The preset weight of the school is a, and the preset weight of the hospital is b. , The weight of a shopping mall or market is c, and different weights can be set for influencing factors of the same type with different scales. For example, the weight of a school with more than 1,000 students is a1, and the weight of a school with 500-1,000 students is a2, where a1 is greater than a2.
终端获得各影响因素与对应子道路间的距离和各影响因素对应的预设权重后，输入至第二道路评分模型
Figure PCTCN2020112466-appb-000004
中，评分模型可以预先设置在终端中，通过评分模型首先对各影响因素与对应子道路间的距离和各影响因素对应的预设权重进行加权平均计算，获得子道路的评分分数，再将对个各子道路的评分分数进行求和，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x ij为第j段子道路与对应的第i个影响 因素的距离，f ij为第j段子道路与对应的第i个影响因素的预设权重，N j为第j段子道路的影响因素的总数，M为待优化道路的子道路总数。 After the terminal obtains the distance between each influencing factor and the corresponding sub-road and the preset weight corresponding to each influencing factor, it is input to the second road scoring model
Figure PCTCN2020112466-appb-000004
In the scoring model, the scoring model can be set in the terminal in advance. The scoring model first calculates the weighted average of the distance between each influencing factor and the corresponding sub-road and the preset weight corresponding to each influencing factor to obtain the sub-road’s scoring score. The scores of each sub-road are summed to obtain the score of the road to be optimized, where F is the score of the road to be optimized, x ij is the distance between the j-th sub-road and the corresponding i-th influencing factor, and f ij is The preset weight of the j-th sub-road and the corresponding i-th influencing factor, N j is the total number of influencing factors of the j-th sub-road, and M is the total number of sub-roads of the road to be optimized.
步骤S28，从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。Step S28: Query the road level corresponding to the scoring score of the road to be optimized from the preset mapping relationship between the road scoring score and the road level, so as to determine the inquired road level as the demand level of the road to be optimized.
终端从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，将查询到的道路等级确定为待优化道路的需求等级，其中道路的评分分数与道路等级间的预设映射关系可以预先存储在终端中。The terminal queries the road grade corresponding to the scoring score of the road to be optimized from the preset mapping relationship between the road scoring score and the road grade, and determines the queried road grade as the demand level of the road to be optimized, where the road scoring score The preset mapping relationship with the road class can be stored in the terminal in advance.
步骤S30，判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Step S30, judging whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
终端在获得待优化道路的需求等级后，会将待优化道路的当前道路等级和待优化道路的需求等级进行比较，判断待优化道路的当前道路等级是否满足待优化道路的需求等级，若满足，则不需要对待优化道路进行优化，若不满足，则需要对待优化道路进行后续的优化。After obtaining the demand level of the road to be optimized, the terminal compares the current road level of the road to be optimized with the demand level of the road to be optimized, and judges whether the current road level of the road to be optimized meets the demand level of the road to be optimized, if so, There is no need to optimize the road to be optimized, and if it is not satisfied, the road to be optimized needs to be subsequently optimized.
步骤S40，若确认待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；In step S40, if it is confirmed that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, a current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
当终端确定待优化道路的当前道路等级不满足待优化道路的需求等级时，会将待优化道路的当前空间数据输入至具有三维建模功能的软件中，生成待优化道路的三维模型，例如GIS软件、BIM软件等。When the terminal determines that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, it will input the current spatial data of the road to be optimized into the software with 3D modeling function to generate a 3D model of the road to be optimized, such as GIS Software, BIM software, etc.
具体地，基于上述实施例，所述步骤S40包括：Specifically, based on the foregoing embodiment, the step S40 includes:
步骤S41，将所述当前空间数据导入至GIS软件中，生成待优化道路的二维模型；Step S41: Import the current spatial data into the GIS software to generate a two-dimensional model of the road to be optimized;
终端将待优化道路的当前空间数据中的点维度、线维度、面维度等数据导入至GIS软件中，生成待优化道路的二维模型。The terminal imports the point dimension, line dimension, area dimension and other data in the current spatial data of the road to be optimized into the GIS software to generate a two-dimensional model of the road to be optimized.
步骤S42，根据二维模型中每个对象在当前空间数据中的描述信息，对二维模型进行三维化，以生成待优化道路的当前三维模型。Step S42: According to the description information of each object in the two-dimensional model in the current spatial data, the two-dimensional model is three-dimensionalized to generate a current three-dimensional model of the road to be optimized.
终端会在将当前空间数据中二维模型中每个对象的描述信息输入至GIS软件中，对二维模型进行三维化，其中描述信息包括高度数据和比例尺。即根据每个对象的高度数据和比例尺，得到二维模型中每个对象对应在三维模型中的垂直高度，然后可以根据对象对应的垂直高度，将对应对象抬升组合后形成三维模型。The terminal will input the description information of each object in the two-dimensional model in the current spatial data into the GIS software to three-dimensionalize the two-dimensional model, where the description information includes height data and scale. That is, according to the height data and scale of each object, the vertical height of each object in the two-dimensional model corresponding to the three-dimensional model is obtained, and then the corresponding objects can be lifted and combined to form a three-dimensional model according to the corresponding vertical height of the object.
步骤S50，根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。In step S50, the current spatial data of the road to be optimized is optimized according to the current three-dimensional model of the road to be optimized, and the historical flow of people and/or vehicles, and the optimized spatial data of the road to be optimized is obtained.
终端获得待优化道路的当前三维模型后，会根据历史人流量和历史车流量在三维模型上进行道路拥堵情况模拟，获得待优化道路上的拥堵点的位置和原因。由于不同时刻道路的拥堵地点和原因不同，例如学校上下学时间段，其待优化道路上的拥堵地点为靠近学校附近的路段，终端可以根据不同时刻的历史人流量和历史车流量进行道路情况模拟，从而获得更详细的待优化道路的拥堵点位置和原因。终端根据获得待优化道路上各拥堵点的位置和原因，对待优化道路的当前空间数据进行整体优化，获得待优化道路的优化空间数据。After the terminal obtains the current three-dimensional model of the road to be optimized, it will simulate the road congestion on the three-dimensional model according to the historical pedestrian flow and historical vehicle flow, and obtain the location and cause of the congestion point on the road to be optimized. Due to the different locations and causes of road congestion at different times, such as the school and school time period, the congestion location on the road to be optimized is the section near the school, and the terminal can simulate the road situation according to the historical pedestrian flow and historical vehicle flow at different times , So as to obtain a more detailed location and reason of the congestion point of the road to be optimized. According to the location and cause of each congestion point on the road to be optimized, the terminal performs overall optimization on the current spatial data of the road to be optimized, and obtains the optimized spatial data of the road to be optimized.
具体地，请参照图5，图5为本申请道路优化方法第二实施例的流程示意图，基于第 一实施例，步骤S50包括：Specifically, please refer to Fig. 5, which is a schematic flowchart of a second embodiment of a road optimization method according to this application. Based on the first embodiment, step S50 includes:
步骤S51，根据所述人和/或车历史流量，生成对应的人和/或车流量分布图层；Step S51, generating a corresponding person and/or vehicle flow distribution layer according to the historical flow of people and/or vehicles;
终端根据获得的历史人流量生成对应的人流量分布图层，该分布图层反映了道路上不同地点的人流密度，可以用数值表示人流密度，也可以用颜色表示不同人流密度，例如红色代表人流密度比蓝色代表的人流密度大。The terminal generates a corresponding human flow distribution layer based on the historical human flow obtained. This distribution layer reflects the density of human flow at different locations on the road. The density of human flow can be expressed by numerical value or different density of human flow can be expressed by color. For example, red represents human flow. The density is greater than the density of people represented by blue.
同样，终端根据获得的历史车流量生成对应的车流量分布图层，该分布图层反映了道路上不同地点的车流密度，可以用数值表示车流密度，也可以用颜色表示不同车流密度，例如红色代表人流密度比蓝色代表的人流密度大。Similarly, the terminal generates a corresponding traffic flow distribution layer based on the obtained historical traffic flow. This distribution layer reflects the traffic flow density of different places on the road. The traffic flow density can be represented by a numerical value or a color can be used to represent different traffic flow densities, such as red It means that the density of people flow is higher than that of blue.
步骤S52，将对应生成的人和/或车流量分布图层以及所述当前三维模型进行叠加分析，获得待优化道路的拥堵状况信息；Step S52: Perform overlay analysis on the generated person and/or vehicle flow distribution layer and the current three-dimensional model to obtain congestion status information of the road to be optimized;
终端将人流量分布图层和/或车流量分布图层映射在待优化道路的当前三维模型中，形成三维的人流图和/或三维车流图，基于三维的人流图和/或三维车流图可以更加详细和直观查看待优化道路的状况，获得待优化道路的拥堵状况信息，该状况信息包括拥堵位置、拥堵程度和拥堵原因等。The terminal maps the human flow distribution layer and/or the vehicle flow distribution layer to the current three-dimensional model of the road to be optimized to form a three-dimensional pedestrian flow diagram and/or a three-dimensional traffic flow diagram. The three-dimensional pedestrian flow diagram and/or a three-dimensional traffic flow diagram can be View the conditions of the roads to be optimized in more detail and intuitively, and obtain information about the congestion status of the roads to be optimized. The status information includes the location of the congestion, the degree of congestion, and the cause of the congestion.
需要说明的是，为了更好的分析待优化道路的拥堵状况，可以获取某一时间段内连续多个时刻的人流量分布图层和/或车流量分布图层，将连续多个时刻的人流量分布图层和/或车流量分布图层与当前三维模型进行叠加，获得待优化道路的三维动态人流图和/或三维动态车流图，从而可以更详细的获知拥堵状况发生前的状况和发生后的状况，进而基于时间和空间两个层面得出拥堵状况发生的详细原因。It should be noted that in order to better analyze the congestion status of the road to be optimized, the traffic flow distribution layer and/or the traffic flow distribution layer for multiple consecutive times within a certain period of time can be obtained, and the traffic flow distribution layer for multiple consecutive times can be obtained. The flow distribution layer and/or the traffic flow distribution layer are superimposed with the current three-dimensional model to obtain the three-dimensional dynamic pedestrian flow graph and/or three-dimensional dynamic traffic flow graph of the road to be optimized, so that the situation and occurrence before the occurrence of congestion can be learned in more detail After the situation, the detailed reasons for the occurrence of congestion are obtained based on the two levels of time and space.
步骤S53，根据拥堵状况信息，对待优化道路当前的空间数据进行优化，获得优化后的当前空间数据，并将优化后的当前空间数据作为待优化道路的候选优化空间数据；Step S53, according to the congestion status information, optimize the current spatial data of the road to be optimized, obtain the optimized current spatial data, and use the optimized current spatial data as the candidate optimized spatial data of the road to be optimized;
终端根据拥堵状况信息，对待优化道路的当前空间数据进行优化，例如对当前空间数据中的待优化道路的宽度进行增加或降低，或者对待优化道路的某一段路段的宽度增加或降低，又或者增加或减少待优化道路的入口数量等，优化完成后，获得优化后的当前空间数据，并将优化后的当前空间数据作为待优化道路的候选优化空间数据。The terminal optimizes the current spatial data of the road to be optimized based on the congestion status information, such as increasing or decreasing the width of the road to be optimized in the current spatial data, or increasing or decreasing the width of a certain section of the road to be optimized, or increasing Or reduce the number of entrances of the road to be optimized, etc. After the optimization is completed, the optimized current spatial data is obtained, and the optimized current spatial data is used as the candidate optimized spatial data of the road to be optimized.
步骤S54，根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证；若拥堵验证不合格，则返回执行所述步骤S53；直至拥堵验证合格时，执行步骤S55；Step S54: Perform road congestion verification based on the candidate optimized spatial data of the road to be optimized based on the generated person and/or vehicle flow distribution layer; if the congestion verification fails, return to step S53; execute until the congestion verification is qualified Step S55;
终端可以基于候选优化空间数据构造待优化道路的候选优化二维图层或三维模型，将人流量分布图层和/或车流量分布图层与候选优化二维图层或三维模型进行叠加分析，获得优化后的状况，根据优化后的道路状况对拥堵解决的效果进行评定，若存在拥堵，则确定道路拥堵验证不合格，若不存在拥堵，则确定道路拥堵验证合格。The terminal can construct a candidate optimized two-dimensional layer or three-dimensional model of the road to be optimized based on the candidate optimized spatial data, and superimpose and analyze the pedestrian flow distribution layer and/or vehicle flow distribution layer and the candidate optimized two-dimensional layer or three-dimensional model. The optimized condition is obtained, and the congestion resolution effect is evaluated according to the optimized road condition. If there is congestion, the road congestion verification is determined to be unqualified, and if there is no congestion, the road congestion verification is determined to be qualified.
终端还可以将人流量分布图层、车流量分布图层以及候选优化空间数据输入至基于神经网络的道路拥堵验证模型中进行道路拥堵验证，输出是否发生拥堵的结果，根据输出的结果确定候选优化空间数据的道路拥堵验证是否合格。The terminal can also input the human flow distribution layer, vehicle flow distribution layer, and candidate optimization spatial data into the neural network-based road congestion verification model for road congestion verification, output the results of whether congestion occurs, and determine the candidate optimization based on the output results Whether the road congestion verification of spatial data is qualified.
若终端对待优化道路的候选优化空间数据进行拥堵验证，仍存在拥堵状况，会确定该候选优化空间数据的拥堵验证不合格。终端会根据待优化道路的拥堵状况信息继续对待优化道路的当前空间数据进行优化，直至候选优化空间数据的拥堵验证合格。If the terminal performs congestion verification on the candidate optimized space data of the road to be optimized, and there is still a congestion condition, it will be determined that the congestion verification of the candidate optimized space data is unqualified. The terminal will continue to optimize the current spatial data of the road to be optimized according to the congestion status information of the road to be optimized, until the congestion verification of the candidate optimized spatial data is qualified.
具体地，基于上述实施例，所述步骤S54包括：Specifically, based on the foregoing embodiment, the step S54 includes:
步骤S541，根据待优化道路的候选优化空间数据，生成待优化道路的候选优化三维模型；Step S541, generating a candidate optimized three-dimensional model of the road to be optimized according to the candidate optimized space data of the road to be optimized;
终端将待优化道路的候选优化空间数据中的点维度、线维度和面维度等数据导入至GIS软件中，生成待优化道路的候选优化二维模型。The terminal imports the point dimension, line dimension, and surface dimension of the candidate optimized spatial data of the road to be optimized into the GIS software to generate a candidate optimized two-dimensional model of the road to be optimized.
终端会在将候选优化空间数据中候选优化二维模型中每个对象的描述信息输入至GIS软件中，对候选优化二维模型进行三维化，其中描述信息包括高度数据和比例尺等。即根据每个对象的高度数据和比例尺，得到候选优化二维模型中每个对象对应在三维模型中的垂直高度，然后可以根据对象对应的垂直高度，将对应对象抬升组合后形成候选优化三维模型。The terminal will input the description information of each object in the candidate optimization two-dimensional model in the candidate optimization spatial data into the GIS software, and 3Dize the candidate optimization two-dimensional model, where the description information includes height data and scale. That is, according to the height data and scale of each object, the vertical height of each object in the candidate optimized two-dimensional model corresponding to the three-dimensional model is obtained, and then the corresponding objects can be raised and combined according to the corresponding vertical height of the object to form a candidate optimized three-dimensional model .
步骤S542，将对应生成的人和/或车流量分布图层以及所述候选优化三维模型进行叠加分析，判断是否发生拥堵，其中未发生拥堵时验证合格。Step S542: Perform overlay analysis on the generated person and/or vehicle flow distribution layer and the candidate optimized three-dimensional model to determine whether congestion occurs, and the verification is qualified when no congestion occurs.
终端将人流量分布图层和/或车流量分布图层映射在待优化道路的候选优化三维模型中，形成优化后的三维的人流图和优化后的三维车流图，基于三维的人流图和/或三维车流图可以更加详细和直观查看待优化道路的状况，判断是否发生拥堵发生，若未发生，则确定拥堵验证合格，若发生，则确定拥堵验证不合格。The terminal maps the pedestrian flow distribution layer and/or the vehicle flow distribution layer to the candidate optimized three-dimensional model of the road to be optimized to form an optimized three-dimensional pedestrian flow graph and an optimized three-dimensional traffic flow graph, based on the three-dimensional pedestrian flow graph and/ Or the three-dimensional traffic map can view the conditions of the road to be optimized in more detail and intuitively, and determine whether congestion occurs. If it does not occur, the congestion verification is determined to be qualified, and if it occurs, the congestion verification is determined to be unqualified.
需要说明的是，为了更好的验证待优化道路的候选优化空间数据对待优化道路的拥堵状况解决的预估效果，可以获取某一时间段内连续多个时刻的人流量分布图层和/或车流量分布图层，将连续多个时刻的人流量分布图层和/或车流量分布图层与候选优化三维模型进行叠加，获得待优化道路的优化后的三维动态人流图和优化后的三维动态车流图，从而基于时间和空间两个层面评估对待优化道路的拥堵状况解决的预估效果。It should be noted that, in order to better verify the estimated effect of solving the congestion condition of the road to be optimized by the candidate optimized spatial data of the road to be optimized, the flow of people distribution layer and/or at multiple consecutive moments in a certain period of time can be obtained The traffic flow distribution layer, which superimposes the pedestrian flow distribution layer and/or the vehicle flow distribution layer at multiple consecutive moments with the candidate optimized three-dimensional model to obtain the optimized three-dimensional dynamic pedestrian flow graph and the optimized three-dimensional model of the road to be optimized Dynamic traffic flow chart, which evaluates the estimated effect of solving the congestion condition of the road to be optimized based on the two levels of time and space.
步骤S55，将拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。In step S55, the candidate optimized space data that has passed the congestion verification is used as the optimized space data of the road to be optimized.
若终端对待优化道路的候选优化空间数据进行拥堵验证，未发现存在拥堵状况，会确定该候选优化空间数据的拥堵验证合格，则将拥堵验证合格的候选优化空间数据作为待优化道路的最终优化空间数据。从而根据最终优化空间数据对待优化道路进行优化改造。If the terminal performs congestion verification on the candidate optimized space data of the road to be optimized, and no congestion is found, it will determine that the candidate optimized space data is qualified for the congestion verification, and the candidate optimized space data that has passed the congestion verification will be used as the final optimized space of the road to be optimized data. Thus, the road to be optimized is optimized and transformed according to the final optimized spatial data.
具体地，请参照图6，图6为本申请道路优化方法第三实施例的流程示意图，基于第二实施例，基于上述实施例，若确定存在至少两个拥堵验证合格的候选优化空间数据，所述步骤S55包括：Specifically, please refer to FIG. 6, which is a schematic flowchart of the third embodiment of the road optimization method of this application. Based on the second embodiment, based on the foregoing embodiment, if it is determined that there are at least two candidate optimization space data that pass the congestion verification, The step S55 includes:
步骤S551，根据待优化道路的当前空间数据和拥堵验证合格的候选优化空间数据，计算拥堵验证合格的候选优化空间数据对应的改造成本；Step S551: According to the current spatial data of the road to be optimized and the candidate optimized spatial data qualified by the congestion verification, the reconstruction cost corresponding to the candidate optimized spatial data qualified by the congestion verification is calculated;
当终端确定的通过拥堵验证合格的待优化道路的候选优化空间数据的数量至少为两个时，在确定最早的优化空间数据前，会基于待优化道路的当前空间数据和拥堵验证合格 的候选优化空间数据进行比较分析和计算，确定拥堵验证合格的候选优化空间数据的改造成本，改造成本包括物料成本和人力成本。When the terminal determines that the number of candidate optimization space data of the road to be optimized that passes the congestion verification is at least two, before determining the earliest optimized space data, it will be based on the current space data of the road to be optimized and the congestion verification qualified candidate optimization. The spatial data is compared, analyzed and calculated, and the transformation cost of the candidate optimized spatial data that is qualified for the congestion verification is determined. The transformation cost includes the material cost and the labor cost.
步骤S552，选择改造成本最低的拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。In step S552, the candidate optimized space data that has passed the congestion verification with the lowest reconstruction cost is selected as the optimized space data of the road to be optimized.
终端从各拥堵验证合格的候选优化空间数据中选择改造成本最低的，作为待优化道路的优化空间数据。The terminal selects the lowest reconstruction cost from the candidate optimized space data that has passed the congestion verification as the optimized space data of the road to be optimized.
需要说明的是，当终端确定的通过拥堵验证合格的待优化道路的候选优化空间数据的数量至少为两个时，除了计算拥堵验证合格的候选优化空间数据的改造成本，还可以获取拥堵验证合格的候选优化空间数据的改造时间、对周围环境的影响程度和安全性，为这些因素进行评分并设置对应的权重，采用权重法对拥堵验证合格的候选优化空间数据进行评分，比较各拥堵验证合格的候选优化空间数据的分数，选择最高或最低分数对应的拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。It should be noted that when the terminal determines that the number of candidate optimized space data of the road to be optimized that passes the congestion verification is at least two, in addition to calculating the transformation cost of the candidate optimized space data that is qualified for the congestion verification, it can also obtain the congestion verification qualification. The reconstruction time of the candidate optimized spatial data, the degree of impact on the surrounding environment and the safety, score these factors and set the corresponding weights, use the weight method to score the candidate optimized spatial data that have passed the congestion verification, and compare each congestion verification pass. The candidate optimized space data scores of the candidate optimized space data corresponding to the highest or the lowest scores are selected as the optimized space data of the road to be optimized.
本申请技术方案中，获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；判断待优化道路的当前道路等级是否满足待优化道路的需求等级；若否，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。从而根据评分模型筛选出确定需要优化的道路，然后基于道路的空间数据对道路进行三维建模，并基于历史人流量和历史车流量在三维建模上对道路的拥堵情况进行分析，提供了更多的细节，使得道路设计人员可以从宏观到微观可整体的预览整个交通道路的拥堵情况，进而使得道路设计人员设计出针对性解决拥堵的优化方案，提高了对拥堵问题的解决效果。In the technical solution of this application, the current spatial data of the road to be optimized, the current road grade, the historical traffic of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized are obtained; corresponding to the current spatial data and influencing factors of the road to be optimized Obtain the demand level of the road to be optimized; determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized; if not, generate the current three-dimensional model of the road to be optimized based on the current spatial data of the road to be optimized ; According to the current three-dimensional model of the road to be optimized, the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized, and the optimized spatial data of the road to be optimized is obtained. Therefore, according to the scoring model, the roads that need to be optimized are screened out, and then the roads are modeled in three dimensions based on the spatial data of the roads, and the congestion of the roads is analyzed on the three-dimensional modeling based on the historical pedestrian flow and historical vehicle flow, which provides more information. The many details allow road designers to preview the congestion situation of the entire traffic road from the macro to the micro, so that the road designers can design a targeted solution to the congestion optimization plan, and improve the solution to the congestion problem.
参见图7，本申请还提供一种道路优化系统，所述系统包括：Referring to Fig. 7, the present application also provides a road optimization system, which includes:
获取模块10，配置为获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；The obtaining module 10 is configured to obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
获得模块20，配置为根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；The obtaining module 20 is configured to obtain the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors;
判断模块30，配置为判断待优化道路的当前道路等级是否满足待优化道路的需求等级；The judging module 30 is configured to judge whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
生成模型40，配置为若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；Generate a model 40, configured to generate a current three-dimensional model of the road to be optimized according to the current spatial data of the road to be optimized if it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized;
优化模块50，配置为根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。The optimization module 50 is configured to optimize the current spatial data of the road to be optimized according to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles to obtain the optimized spatial data of the road to be optimized.
进一步，所述获得模块20包括：Further, the obtaining module 20 includes:
第一获得单元21，配置为根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路与对应的各影响因素间的距离；The first obtaining unit 21 is configured to obtain the distance between the road to be optimized and the corresponding influencing factors according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors;
第一评分单元22，配置为将待优化道路与对应的各影响因素间的距离和各影响因素对应的预设权重输入至第一道路评分模型
Figure PCTCN2020112466-appb-000005
中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x i为待优化道路与对应的第i个影响因素间的距离，f i为待优化道路的第i个影响因素的预设权重，N为待优化道路的影响因素的总数； The first scoring unit 22 is configured to input the distance between the road to be optimized and the corresponding influencing factors and the preset weight corresponding to each influencing factor into the first road scoring model
Figure PCTCN2020112466-appb-000005
, Obtain the scoring score of the road to be optimized, where F is the scoring score of the road to be optimized, x i is the distance between the road to be optimized and the corresponding i-th influencing factor, and f i is the i-th influencing factor of the road to be optimized The preset weight of, N is the total number of influencing factors of the road to be optimized;
第一确定单元23，配置为从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The first determining unit 23 is configured to query the road level corresponding to the scoring score of the road to be optimized from the preset mapping relationship between the road scoring score and the road level, so as to determine the queried road level as the road to be optimized. Demand level.
进一步，所述获得模块20包括：Further, the obtaining module 20 includes:
划分单元24，配置为将待优化道路划分为至少两段子道路，以根据待优化道路的当前空间数据获得各子道路的空间数据；The dividing unit 24 is configured to divide the road to be optimized into at least two sections of sub-roads, so as to obtain the spatial data of each sub-road according to the current spatial data of the road to be optimized;
第二获得单元25，配置为根据各子道路的空间数据和影响因素对应的空间数据，获得各子道路的对应的影响因素；The second obtaining unit 25 is configured to obtain the corresponding influencing factor of each sub-road according to the spatial data of each sub-road and the spatial data corresponding to the influencing factor;
第三获得单元26，配置为根据各子道路的空间数据和对应的影响因素的空间数据，获得各子道路与对应的影响因素的距离；The third obtaining unit 26 is configured to obtain the distance between each sub-road and the corresponding influencing factor according to the spatial data of each sub-road and the spatial data of the corresponding influencing factor;
第二评分单元27，配置为将各子道路与对应的影响因素的距离和各影响因素的预设权重输入至第二道路评分模型
Figure PCTCN2020112466-appb-000006
中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x ij为第j段子道路与对应的第i个影响因素的距离，f ij为第j段子道路与对应的第i个影响因素的预设权重，N j为第j段子道路的影响因素的总数，M为待优化道路的子道路总数； The second scoring unit 27 is configured to input the distance between each sub-road and the corresponding influencing factor and the preset weight of each influencing factor into the second road scoring model
Figure PCTCN2020112466-appb-000006
, Obtain the score of the road to be optimized, where F is the score of the road to be optimized, x ij is the distance between the j-th sub-road and the corresponding i-th influencing factor, and f ij is the j-th sub-road and the corresponding i-th The preset weight of each influencing factor, N j is the total number of influencing factors of the j-th sub-road, and M is the total number of sub-roads of the road to be optimized;
第二确定单元28，配置为从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The second determining unit 28 is configured to query the road grade corresponding to the scoring score of the road to be optimized from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the road to be optimized. Demand level.
进一步，所述生成模块40包括：Further, the generating module 40 includes:
第一生成单元41，配置为将所述当前空间数据导入至GIS软件中，生成待优化道路的二维模型；The first generating unit 41 is configured to import the current spatial data into GIS software to generate a two-dimensional model of the road to be optimized;
三维化单元42，配置为根据二维模型中每个对象在当前空间数据中的描述信息，对二维模型进行三维化，以生成待优化道路的当前三维模型。The three-dimensionalization unit 42 is configured to three-dimensionalize the two-dimensional model according to the description information of each object in the two-dimensional model in the current spatial data to generate the current three-dimensional model of the road to be optimized.
进一步，所述优化模块50包括：Further, the optimization module 50 includes:
第二生成单元51，配置为根据所述人和/或车历史流量，生成对应的人和/或车流量分布图层；The second generating unit 51 is configured to generate a corresponding person and/or vehicle flow distribution layer according to the historical flow of people and/or vehicles;
第一叠加单元52，配置为将对应生成的人和/或车流量分布图层以及所述当前三维模型进行叠加分析，获得待优化道路的拥堵状况信息；The first superimposing unit 52 is configured to superimpose and analyze the generated human and/or vehicle flow distribution layer and the current three-dimensional model to obtain congestion status information of the road to be optimized;
优化单元53，配置为根据拥堵状况信息，对待优化道路当前的空间数据进行优化，获得优化后的当前空间数据，并将优化后的当前空间数据作为待优化道路的候选优化空间 数据；The optimization unit 53 is configured to optimize the current spatial data of the road to be optimized according to the congestion status information, obtain the optimized current spatial data, and use the optimized current spatial data as the candidate optimized spatial data of the road to be optimized;
验证单元54，配置为根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证；The verification unit 54 is configured to perform road congestion verification on the candidate optimized spatial data of the road to be optimized according to the correspondingly generated person and/or vehicle flow distribution layer;
第三确定单元55，配置为若确定拥堵验证不合格，则调用所述优化单元53执行相应操作，直至拥堵验证合格时，将拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。The third determining unit 55 is configured to, if it is determined that the congestion verification is unqualified, call the optimization unit 53 to perform corresponding operations until the congestion verification is qualified, and use the candidate optimized space data that has passed the congestion verification as the optimized space data of the road to be optimized.
进一步，所述验证单元54包括：Further, the verification unit 54 includes:
生成子单元541，配置为根据待优化道路的候选优化空间数据，生成待优化道路的候选优化三维模型；The generating subunit 541 is configured to generate a candidate optimized three-dimensional model of the road to be optimized according to the candidate optimized space data of the road to be optimized;
分析子单元542，配置为将对应生成的人和/或车流量分布图层以及所述候选优化三维模型进行叠加分析，判断是否发生拥堵，其中未发生拥堵时验证合格。The analysis subunit 542 is configured to superimpose and analyze the generated person and/or vehicle flow distribution layer and the candidate optimized three-dimensional model to determine whether congestion occurs, and the verification is qualified when no congestion occurs.
进一步，若确定存在至少两个拥堵验证合格的候选优化空间数据，所述第三确定单元55包括：Further, if it is determined that there are at least two candidate optimized space data that pass the congestion verification, the third determining unit 55 includes:
计算子单元551，配置为根据待优化道路的当前空间数据和拥堵验证合格的候选优化空间数据，计算拥堵验证合格的候选优化空间数据对应的改造成本；The calculation sub-unit 551 is configured to calculate the reconstruction cost corresponding to the candidate optimized space data qualified for congestion verification based on the current space data of the road to be optimized and the candidate optimized space data qualified for congestion verification;
选择子单元552，配置为选择改造成本最低的拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。The selection sub-unit 552 is configured to select the candidate optimized space data that has passed the congestion verification with the lowest reconstruction cost as the optimized space data of the road to be optimized.
本申请还提出一种计算机可读存储介质，其上存储有计算机程序。所述计算机可读存储介质可以是图1的道路优化终端中的存储器200，也可以是如ROM(Read-Only Memory，只读存储器)/RAM(Random Access Memory，随机存取存储器)、磁碟、光盘中的至少一种，所述计算机可读存储介质可以是非易失性，也可以是易失性。所述计算机可读存储介质包括若干信息用以使得道路优化终端执行本申请各个实施例所述的方法。This application also proposes a computer-readable storage medium on which a computer program is stored. The computer-readable storage medium may be the memory 200 in the road optimization terminal of FIG. 1, or may be ROM (Read-Only Memory)/RAM (Random Access Memory), magnetic disk At least one of the optical discs. The computer-readable storage medium may be non-volatile or volatile. The computer-readable storage medium includes a number of information to enable the road optimization terminal to execute the method described in each embodiment of the present application.
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者系统中还存在另外的相同要素。It should be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, It also includes other elements that are not explicitly listed, or elements inherent to the process, method, article, or system. Without more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article, or system that includes the element.
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。The serial numbers of the foregoing embodiments of the present application are for description only, and do not represent the superiority or inferiority of the embodiments.
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。Through the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。The above are only the preferred embodiments of the application, and do not limit the scope of the patent for this application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of the application, or directly or indirectly applied to other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims (20)

  1. 一种道路优化方法，包括步骤：A road optimization method, including the steps:
    获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
    根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, obtain the demand level of the road to be optimized;
    判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
    若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；If it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, the current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
    根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。According to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain the optimized spatial data of the road to be optimized.
  2. 根据权利要求1所述的道路优化方法，其中，所述根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级的步骤包括：The road optimization method according to claim 1, wherein the step of obtaining the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors comprises:
    根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路与对应的各影响因素间的距离；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, the distance between the road to be optimized and the corresponding influencing factors is obtained;
    将待优化道路与对应的各影响因素间的距离和各影响因素对应的预设权重输入至第一道路评分模型
    Figure PCTCN2020112466-appb-100001
    中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x i为待优化道路与对应的第i个影响因素间的距离，f i为待优化道路的第i个影响因素的预设权重，N为待优化道路的影响因素的总数；     Input the distance between the road to be optimized and the corresponding influencing factors and the preset weights corresponding to each influencing factor into the first road scoring model
    Figure PCTCN2020112466-appb-100001
    , Obtain the scoring score of the road to be optimized, where F is the scoring score of the road to be optimized, x i is the distance between the road to be optimized and the corresponding i-th influencing factor, and f i is the i-th influencing factor of the road to be optimized The preset weight of, N is the total number of influencing factors of the road to be optimized;
    从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The road grade corresponding to the scoring score of the road to be optimized is queried from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the demand level of the road to be optimized.
  3. 根据权利要求1所述的道路优化方法，其中，所述根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级的步骤包括：The road optimization method according to claim 1, wherein the step of obtaining the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors comprises:
    将待优化道路划分为至少两段子道路，以根据待优化道路的当前空间数据获得各子道路的空间数据；Divide the road to be optimized into at least two sections of sub-roads, so as to obtain the spatial data of each sub-road according to the current spatial data of the road to be optimized;
    根据各子道路的空间数据和影响因素对应的空间数据，获得各子道路的对应的影响因素；According to the spatial data of each sub-road and the corresponding spatial data of the influencing factors, obtain the corresponding influencing factors of each sub-road;
    根据各子道路的空间数据和对应的影响因素的空间数据，获得各子道路与对应的影响因素的距离；According to the spatial data of each sub-road and the spatial data of the corresponding influencing factor, obtain the distance between each sub-road and the corresponding influencing factor;
    将各子道路与对应的影响因素的距离和各影响因素的预设权重输入至第二道路评分模型
    Figure PCTCN2020112466-appb-100002
    中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x ij为第j段子道路与对应的第i个影响因素的距离，f ij为第j段子道路与对应的第i个影响因素的预设权重，N j为第j段子道路的影响因素的总数，M为待优化道路的子道路总数；     Input the distance between each sub-road and the corresponding influencing factor and the preset weight of each influencing factor into the second road scoring model
    Figure PCTCN2020112466-appb-100002
    , Obtain the score of the road to be optimized, where F is the score of the road to be optimized, x ij is the distance between the j-th sub-road and the corresponding i-th influencing factor, and f ij is the j-th sub-road and the corresponding i-th The preset weight of each influencing factor, N j is the total number of influencing factors of the j-th sub-road, and M is the total number of sub-roads of the road to be optimized;
    从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The road grade corresponding to the scoring score of the road to be optimized is queried from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the demand level of the road to be optimized.
  4. 根据权利要求1所述的道路优化方法，其中，所述根据待优化道路的当前空间数据，生成待优化道路的当前三维模型的步骤包括：The road optimization method according to claim 1, wherein the step of generating a current three-dimensional model of the road to be optimized according to the current spatial data of the road to be optimized comprises:
    将所述当前空间数据导入至GIS软件中，生成待优化道路的二维模型；Import the current spatial data into GIS software to generate a two-dimensional model of the road to be optimized;
    根据二维模型中每个对象在当前空间数据中的描述信息，对二维模型进行三维化，以生成待优化道路的当前三维模型。According to the description information of each object in the two-dimensional model in the current spatial data, the two-dimensional model is three-dimensionalized to generate the current three-dimensional model of the road to be optimized.
  5. 根据权利要求1-4任一项所述的道路优化方法，其中，所述根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据的步骤包括：The road optimization method according to any one of claims 1 to 4, wherein the current spatial data of the road to be optimized is optimized according to the current three-dimensional model of the road to be optimized, and the historical flow of people and/or vehicles to obtain the road to be optimized. The steps to optimize the spatial data of the road include:
    根据所述人和/或车历史流量，生成对应的人和/或车流量分布图层；According to the historical flow of people and/or vehicles, generate a corresponding distribution layer of the flow of people and/or vehicles;
    将对应生成的人和/或车流量分布图层以及所述当前三维模型进行叠加分析，获得待优化道路的拥堵状况信息；Performing overlay analysis on the generated person and/or vehicle flow distribution layer and the current three-dimensional model to obtain congestion status information of the road to be optimized;
    根据拥堵状况信息，对待优化道路当前的空间数据进行优化，获得优化后的当前空间数据，并将优化后的当前空间数据作为待优化道路的候选优化空间数据；According to the congestion status information, optimize the current spatial data of the road to be optimized, obtain the optimized current spatial data, and use the optimized current spatial data as the candidate optimized spatial data of the road to be optimized;
    根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证；Carry out road congestion verification based on the candidate optimized spatial data of the road to be optimized according to the generated person and/or vehicle flow distribution layer;
    若确定拥堵验证不合格，则返回执行所述根据待优化道路的拥堵状况信息，对待优化道路当前空间数据进行优化，直至拥堵验证合格时，将拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。If it is determined that the congestion verification is unqualified, return to the execution of the optimization of the current spatial data of the road to be optimized according to the congestion status information of the road to be optimized. Optimize spatial data.
  6. 根据权利要求5所述的道路优化方法，其中，所述根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证的步骤包括：The road optimization method according to claim 5, wherein the step of performing road congestion verification on the candidate optimized spatial data of the road to be optimized according to the correspondingly generated people and/or traffic flow distribution layer comprises:
    根据待优化道路的候选优化空间数据，生成待优化道路的候选优化三维模型；According to the candidate optimization spatial data of the road to be optimized, generate the candidate optimized three-dimensional model of the road to be optimized;
    将对应生成的人和/或车流量分布图层以及所述候选优化三维模型进行叠加分析，判断是否发生拥堵，其中未发生拥堵时验证合格。The generated person and/or vehicle flow distribution layer and the candidate optimized three-dimensional model are superimposed and analyzed to determine whether congestion occurs, and the verification is qualified when no congestion occurs.
  7. 根据权利要求6所述的道路优化方法，其中，若确定存在至少两个拥堵验证合格的候选优化空间数据，所述将拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据的步骤包括：The road optimization method according to claim 6, wherein if it is determined that there are at least two candidate optimized space data that pass the congestion verification, the step of using the candidate optimized space data that has passed the congestion verification as the optimized space data of the road to be optimized comprises :
    根据待优化道路的当前空间数据和拥堵验证合格的候选优化空间数据，计算拥堵验证合格的候选优化空间数据对应的改造成本；According to the current spatial data of the road to be optimized and the congestion verification qualified candidate optimization spatial data, the reconstruction cost corresponding to the congestion verification qualified candidate optimization spatial data is calculated;
    选择改造成本最低的拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。The candidate optimized spatial data that has the lowest reconstruction cost and qualified for congestion verification is selected as the optimized spatial data of the road to be optimized.
  8. 一种道路优化系统，其中，所述道路优化系统包括：A road optimization system, wherein the road optimization system includes:
    获取模块，配置为获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；The acquisition module is configured to acquire the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
    获得模块，配置为根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；The obtaining module is configured to obtain the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors;
    判断模块，配置为判断待优化道路的当前道路等级是否满足待优化道路的需求等级；The judgment module is configured to judge whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
    生成模型，配置为若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；Generate a model, configured to generate a current three-dimensional model of the road to be optimized according to the current spatial data of the road to be optimized if it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized;
    优化模块，配置为根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。The optimization module is configured to optimize the current spatial data of the road to be optimized according to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles to obtain the optimized spatial data of the road to be optimized.
  9. 一种道路优化终端，其中，所述道路优化终端包括存储器、处理器和存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现道路优化方法的如下步骤：A road optimization terminal, wherein the road optimization terminal includes a memory, a processor, and a computer program that is stored in the memory and can run on the processor, and the computer program is executed when the processor is executed The following steps of the road optimization method:
    获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路的影响因素对应的空间数据；Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
    根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, obtain the demand level of the road to be optimized;
    判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
    若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；If it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, the current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
    根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。According to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain the optimized spatial data of the road to be optimized.
  10. 根据权利要求9所述的道路优化终端，其中，所述根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级的步骤包括：The road optimization terminal according to claim 9, wherein the step of obtaining the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors comprises:
    根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路与对应的各影响因素间的距离；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, the distance between the road to be optimized and the corresponding influencing factors is obtained;
    将待优化道路与对应的各影响因素间的距离和各影响因素对应的预设权重输入至第一道路评分模型
    Figure PCTCN2020112466-appb-100003
    中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x i为待优化道路与对应的第i个影响因素间的距离，f i为待优化道路的第i个影响因素的预设权重，N为待优化道路的影响因素的总数；     Input the distance between the road to be optimized and the corresponding influencing factors and the preset weights corresponding to each influencing factor into the first road scoring model
    Figure PCTCN2020112466-appb-100003
    , Obtain the scoring score of the road to be optimized, where F is the scoring score of the road to be optimized, x i is the distance between the road to be optimized and the corresponding i-th influencing factor, and f i is the i-th influencing factor of the road to be optimized The preset weight of, N is the total number of influencing factors of the road to be optimized;
    从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The road grade corresponding to the scoring score of the road to be optimized is queried from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the demand level of the road to be optimized.
  11. 根据权利要求9所述的道路优化终端，其中，所述根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级的步骤包括：The road optimization terminal according to claim 9, wherein the step of obtaining the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors comprises:
    将待优化道路划分为至少两段子道路，以根据待优化道路的当前空间数据获得各子道路的空间数据；Divide the road to be optimized into at least two sections of sub-roads, so as to obtain the spatial data of each sub-road according to the current spatial data of the road to be optimized;
    根据各子道路的空间数据和影响因素对应的空间数据，获得各子道路的对应的影响因素；According to the spatial data of each sub-road and the corresponding spatial data of the influencing factors, obtain the corresponding influencing factors of each sub-road;
    根据各子道路的空间数据和对应的影响因素的空间数据，获得各子道路与对应的影响因素的距离；According to the spatial data of each sub-road and the spatial data of the corresponding influencing factor, obtain the distance between each sub-road and the corresponding influencing factor;
    将各子道路与对应的影响因素的距离和各影响因素的预设权重输入至第二道路评分模型
    Figure PCTCN2020112466-appb-100004
    中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x ij为第j段子道路与对应的第i个影响因素的距离，f ij为第j段子道路与对应的第i个影响因素的预设权重，N j为第j段子道路的影响因素的总数，M为待优化道路的子道路总数；     Input the distance between each sub-road and the corresponding influencing factor and the preset weight of each influencing factor into the second road scoring model
    Figure PCTCN2020112466-appb-100004
    , Obtain the score of the road to be optimized, where F is the score of the road to be optimized, x ij is the distance between the j-th sub-road and the corresponding i-th influencing factor, and f ij is the j-th sub-road and the corresponding i-th The preset weight of each influencing factor, N j is the total number of influencing factors of the j-th sub-road, and M is the total number of sub-roads of the road to be optimized;
    从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The road grade corresponding to the scoring score of the road to be optimized is queried from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the demand level of the road to be optimized.
  12. 根据权利要求9所述的道路优化终端，其中，所述根据待优化道路的当前空间数据，生成待优化道路的当前三维模型的步骤包括：The road optimization terminal according to claim 9, wherein the step of generating the current three-dimensional model of the road to be optimized according to the current spatial data of the road to be optimized comprises:
    将所述当前空间数据导入至GIS软件中，生成待优化道路的二维模型；Import the current spatial data into GIS software to generate a two-dimensional model of the road to be optimized;
    根据二维模型中每个对象在当前空间数据中的描述信息，对二维模型进行三维化，以生成待优化道路的当前三维模型。According to the description information of each object in the two-dimensional model in the current spatial data, the two-dimensional model is three-dimensionalized to generate the current three-dimensional model of the road to be optimized.
  13. 根据权利要求9-12任一项所述的道路优化终端，其中，所述根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据的步骤包括：The road optimization terminal according to any one of claims 9-12, wherein the current spatial data of the road to be optimized is optimized according to the current three-dimensional model of the road to be optimized, and the historical flow of people and/or vehicles to obtain the road to be optimized. The steps to optimize the spatial data of the road include:
    根据所述人和/或车历史流量，生成对应的人和/或车流量分布图层；According to the historical flow of people and/or vehicles, generate a corresponding distribution layer of the flow of people and/or vehicles;
    将对应生成的人和/或车流量分布图层以及所述当前三维模型进行叠加分析，获得待优化道路的拥堵状况信息；Performing overlay analysis on the generated person and/or vehicle flow distribution layer and the current three-dimensional model to obtain congestion status information of the road to be optimized;
    根据拥堵状况信息，对待优化道路当前的空间数据进行优化，获得优化后的当前空间数据，并将优化后的当前空间数据作为待优化道路的候选优化空间数据；According to the congestion status information, optimize the current spatial data of the road to be optimized, obtain the optimized current spatial data, and use the optimized current spatial data as the candidate optimized spatial data of the road to be optimized;
    根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证；Carry out road congestion verification based on the candidate optimized spatial data of the road to be optimized according to the generated person and/or vehicle flow distribution layer;
    若确定拥堵验证不合格，则返回执行所述根据待优化道路的拥堵状况信息，对待优化道路当前空间数据进行优化，直至拥堵验证合格时，将拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。If it is determined that the congestion verification is unqualified, return to the execution of the optimization of the current spatial data of the road to be optimized according to the congestion status information of the road to be optimized. Optimize spatial data.
  14. 根据权利要求13所述的道路优化终端，其中，所述根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证的步骤包括：The road optimization terminal according to claim 13, wherein the step of performing road congestion verification on the candidate optimized spatial data of the road to be optimized according to the correspondingly generated human and/or traffic flow distribution layer comprises:
    根据待优化道路的候选优化空间数据，生成待优化道路的候选优化三维模型；According to the candidate optimization spatial data of the road to be optimized, generate the candidate optimized three-dimensional model of the road to be optimized;
    将对应生成的人和/或车流量分布图层以及所述候选优化三维模型进行叠加分析，判断是否发生拥堵，其中未发生拥堵时验证合格。The generated person and/or vehicle flow distribution layer and the candidate optimized three-dimensional model are superimposed and analyzed to determine whether congestion occurs, and the verification is qualified when no congestion occurs.
  15. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现道路优化方法的如下步骤：A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the following steps of the road optimization method are realized:
    获取待优化道路的当前空间数据、当前道路等级、人和/或车历史流量以及待优化道路 的影响因素对应的空间数据；Obtain the current spatial data of the road to be optimized, the current road grade, the historical flow of people and/or vehicles, and the spatial data corresponding to the influencing factors of the road to be optimized;
    根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, obtain the demand level of the road to be optimized;
    判断待优化道路的当前道路等级是否满足待优化道路的需求等级；Determine whether the current road level of the road to be optimized meets the demand level of the road to be optimized;
    若确定待优化道路的当前道路等级不满足待优化道路的需求等级，则根据待优化道路的当前空间数据，生成待优化道路的当前三维模型；If it is determined that the current road level of the road to be optimized does not meet the demand level of the road to be optimized, the current three-dimensional model of the road to be optimized is generated according to the current spatial data of the road to be optimized;
    根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据。According to the current three-dimensional model of the road to be optimized and the historical flow of people and/or vehicles, the current spatial data of the road to be optimized is optimized to obtain the optimized spatial data of the road to be optimized.
  16. 根据权利要求15所述的计算机可读存储介质，其中，所述根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级的步骤包括：The computer-readable storage medium according to claim 15, wherein the step of obtaining the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors comprises:
    根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路与对应的各影响因素间的距离；According to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors, the distance between the road to be optimized and the corresponding influencing factors is obtained;
    将待优化道路与对应的各影响因素间的距离和各影响因素对应的预设权重输入至第一道路评分模型
    Figure PCTCN2020112466-appb-100005
    中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x i为待优化道路与对应的第i个影响因素间的距离，f i为待优化道路的第i个影响因素的预设权重，N为待优化道路的影响因素的总数；     Input the distance between the road to be optimized and the corresponding influencing factors and the preset weights corresponding to each influencing factor into the first road scoring model
    Figure PCTCN2020112466-appb-100005
    , Obtain the scoring score of the road to be optimized, where F is the scoring score of the road to be optimized, x i is the distance between the road to be optimized and the corresponding i-th influencing factor, and f i is the i-th influencing factor of the road to be optimized The preset weight of, N is the total number of influencing factors of the road to be optimized;
    从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The road grade corresponding to the scoring score of the road to be optimized is queried from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the demand level of the road to be optimized.
  17. 根据权利要求15所述的计算机可读存储介质，其中，所述根据待优化道路的当前空间数据和影响因素对应的空间数据，获得待优化道路的需求等级的步骤包括：The computer-readable storage medium according to claim 15, wherein the step of obtaining the demand level of the road to be optimized according to the current spatial data of the road to be optimized and the spatial data corresponding to the influencing factors comprises:
    将待优化道路划分为至少两段子道路，以根据待优化道路的当前空间数据获得各子道路的空间数据；Divide the road to be optimized into at least two sections of sub-roads, so as to obtain the spatial data of each sub-road according to the current spatial data of the road to be optimized;
    根据各子道路的空间数据和影响因素对应的空间数据，获得各子道路的对应的影响因素；According to the spatial data of each sub-road and the corresponding spatial data of the influencing factors, obtain the corresponding influencing factors of each sub-road;
    根据各子道路的空间数据和对应的影响因素的空间数据，获得各子道路与对应的影响因素的距离；According to the spatial data of each sub-road and the spatial data of the corresponding influencing factor, obtain the distance between each sub-road and the corresponding influencing factor;
    将各子道路与对应的影响因素的距离和各影响因素的预设权重输入至第二道路评分模型
    Figure PCTCN2020112466-appb-100006
    中，获得待优化道路的评分分数，其中F为待优化道路的评分分数，x ij为第j段子道路与对应的第i个影响因素的距离，f ij为第j段子道路与对应的第i个影响因素的预设权重，N j为第j段子道路的影响因素的总数，M为待优化道路的子道路总数；     Input the distance between each sub-road and the corresponding influencing factor and the preset weight of each influencing factor into the second road scoring model
    Figure PCTCN2020112466-appb-100006
    , Obtain the score of the road to be optimized, where F is the score of the road to be optimized, x ij is the distance between the j-th sub-road and the corresponding i-th influencing factor, and f ij is the j-th sub-road and the corresponding i-th The preset weight of each influencing factor, N j is the total number of influencing factors of the j-th sub-road, and M is the total number of sub-roads of the road to be optimized;
    从道路的评分分数与道路等级间的预设映射关系中查询所述待优化道路的评分分数对应的道路等级，以将查询到的道路等级确定为待优化道路的需求等级。The road grade corresponding to the scoring score of the road to be optimized is queried from the preset mapping relationship between the road scoring score and the road grade, so as to determine the queried road grade as the demand level of the road to be optimized.
  18. 根据权利要求15所述的计算机可读存储介质，其中，所述根据待优化道路的当 前空间数据，生成待优化道路的当前三维模型的步骤包括：The computer-readable storage medium according to claim 15, wherein the step of generating the current three-dimensional model of the road to be optimized according to the current spatial data of the road to be optimized comprises:
    将所述当前空间数据导入至GIS软件中，生成待优化道路的二维模型；Import the current spatial data into GIS software to generate a two-dimensional model of the road to be optimized;
    根据二维模型中每个对象在当前空间数据中的描述信息，对二维模型进行三维化，以生成待优化道路的当前三维模型。According to the description information of each object in the two-dimensional model in the current spatial data, the two-dimensional model is three-dimensionalized to generate the current three-dimensional model of the road to be optimized.
  19. 根据权利要求15-18任一项所述的计算机可读存储介质，其中，所述根据待优化道路的当前三维模型、人和/或车历史流量，对待优化道路的当前空间数据进行优化，获得待优化道路的优化空间数据的步骤包括：The computer-readable storage medium according to any one of claims 15-18, wherein the current spatial data of the road to be optimized is optimized according to the current three-dimensional model of the road to be optimized and the historical traffic of people and/or vehicles to obtain The steps to optimize the spatial data of the road to be optimized include:
    根据所述人和/或车历史流量，生成对应的人和/或车流量分布图层；According to the historical flow of people and/or vehicles, generate a corresponding distribution layer of the flow of people and/or vehicles;
    将对应生成的人和/或车流量分布图层以及所述当前三维模型进行叠加分析，获得待优化道路的拥堵状况信息；Performing overlay analysis on the generated person and/or vehicle flow distribution layer and the current three-dimensional model to obtain congestion status information of the road to be optimized;
    根据拥堵状况信息，对待优化道路当前的空间数据进行优化，获得优化后的当前空间数据，并将优化后的当前空间数据作为待优化道路的候选优化空间数据；According to the congestion status information, optimize the current spatial data of the road to be optimized, obtain the optimized current spatial data, and use the optimized current spatial data as the candidate optimized spatial data of the road to be optimized;
    根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证；Perform road congestion verification based on the candidate optimized spatial data of the road to be optimized according to the generated person and/or vehicle flow distribution layer;
    若确定拥堵验证不合格，则返回执行所述根据待优化道路的拥堵状况信息，对待优化道路当前空间数据进行优化，直至拥堵验证合格时，将拥堵验证合格的候选优化空间数据作为待优化道路的优化空间数据。If it is determined that the congestion verification is unqualified, return to the execution of the optimization of the current spatial data of the road to be optimized according to the congestion status information of the road to be optimized. Optimize spatial data.
  20. 根据权利要求19所述的计算机可读存储介质，其中，所述根据对应生成的人和/或车流量分布图层对待优化道路的候选优化空间数据进行道路拥堵验证的步骤包括：The computer-readable storage medium according to claim 19, wherein the step of performing road congestion verification on the candidate optimized spatial data of the road to be optimized according to the correspondingly generated human and/or vehicle flow distribution layer comprises:
    根据待优化道路的候选优化空间数据，生成待优化道路的候选优化三维模型；According to the candidate optimization spatial data of the road to be optimized, generate the candidate optimized three-dimensional model of the road to be optimized;
    将对应生成的人和/或车流量分布图层以及所述候选优化三维模型进行叠加分析，判断是否发生拥堵，其中未发生拥堵时验证合格。The generated person and/or vehicle flow distribution layer and the candidate optimized three-dimensional model are superimposed and analyzed to determine whether congestion occurs, and the verification is qualified when no congestion occurs.
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