Smart city online evaluation system

Abstract

The invention discloses a smart city online evaluation system, which comprises a driving route planning module, a data collection subsystem, a data processing module, a data analysis module and a data visualization module, and is characterized in that the driving route planning module and the data collection subsystem are in electrical input connection with the driving route planning module; the data collection subsystem comprises a traffic flow collection module, a traffic signal collection module and a traffic road condition collection module, the data processing module is in electrical input connection with the data collection subsystem, the data analysis module is used for analyzing processed information, and the data visualization module is in electrical input connection with the data analysis module. Therefore, information of road conditions and traffic conditions of all areas is collected by adopting live driving, the collected information is processed and analyzed, the actual conditions of all the traffic road conditions are judged, evaluation is carried out according to the actual conditions of the traffic road conditions, then urban traffic is optimized, and construction of a smart city is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart cities, and in particular to an online evaluation system for smart cities. Background Art

[0002] Smart city assessment is a complex and systematic task, which requires us to conduct comprehensive and in-depth considerations from multiple dimensions and factors. With scientific, objective and comprehensive assessment methods, we can accurately measure the construction results and development level of smart cities, thus providing solid support for urban governance and planning.

[0003] Among the many elements of urban construction, urban transportation undoubtedly occupies a pivotal position. It is a system based on advanced information technology, which closely integrates key elements such as transportation infrastructure, transportation tools, transportation participants and transportation environment, aiming to achieve efficient, safe, green and convenient transportation management and services.

[0004] However, the current urban transportation system still faces many challenges. Under different traffic conditions and regional backgrounds, there are often significant differences in the flow of people and vehicles at traffic intersections. Unfortunately, the traffic lights at some traffic intersections are not flexibly adjusted according to the actual situation, resulting in vehicles or pedestrians waiting time being too long or too short, which in turn affects the smoothness of traffic travel.

[0005] In addition, the maintenance of urban infrastructure is also crucial. Traffic pavement or road signs are inevitably damaged in daily use. If these problems cannot be counted and dealt with in a timely manner, it will also have an adverse impact on traffic. More seriously, in some areas with dense human and vehicle traffic, it is common for vehicles to park illegally on non-motorized vehicle lanes, forcing pedestrians or non-motorized vehicle drivers to take risks on motor vehicle lanes. For vehicles parked randomly on certain sections of the road, if they are not dealt with in a timely manner, the probability of traffic accidents will increase significantly. Summary of the invention

[0006] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0007] To this end, the purpose of the present invention is to propose an online evaluation system for smart cities, which uses real-time driving to collect information on road conditions and traffic conditions in various regions, processes and analyzes the collected information, judges the actual conditions of each traffic condition, and evaluates the actual conditions of the traffic conditions, thereby optimizing urban traffic and further improving the construction of smart cities.

[0008] To achieve the above-mentioned purpose, the present invention proposes an online evaluation system for a smart city, comprising a driving route planning module, a data collection subsystem, a data processing module, a data analysis module and a data visualization module, wherein the driving route planning module is used to plan the driving route for the urban traffic to be surveyed; the data collection subsystem is electrically connected to the driving route planning module, and the data collection subsystem is used to collect information on traffic flow, signals and road conditions; the data collection subsystem comprises a traffic flow collection module, a traffic signal collection module and a traffic road condition collection module, wherein the traffic flow collection module is used to count the traffic flow and pedestrian flow; a traffic signal collection module, the traffic signal collection module is used to count the distribution of traffic lights and traffic signs; a traffic road condition collection module, the traffic road condition collection module is used to count the locations of road damage and the distribution of road guardrail construction; the data processing module is electrically connected to the data collection subsystem at the input, the data processing module is used to process the collected information; the data analysis module is electrically connected to the data processing module at the input, the data analysis module is used to analyze the processed information; the data visualization module is electrically connected to the data analysis module at the input, the data visualization module is used to centralize the analyzed information and generate data, and fuse and build a model based on the data.

[0009] The smart city online evaluation system of the present invention uses real-time driving to collect information on road conditions and traffic conditions in various regions, processes and analyzes the collected information, determines the actual conditions of various traffic conditions, and evaluates them based on the actual conditions of the traffic conditions, thereby optimizing urban traffic, increasing the speed of urban traffic circulation, reducing the occurrence of traffic accidents, and further improving the construction of smart cities.

[0010] In addition, the smart city online evaluation system proposed in the application may also have the following additional technical features:

[0011] Specifically, the traffic flow collection module includes a vehicle flow statistics unit and a pedestrian flow statistics unit, wherein the vehicle flow statistics unit is used to count the vehicle flow passing through the traffic intersection; the pedestrian flow statistics unit is used to count the pedestrian flow passing through the traffic road conditions.

[0012] Specifically, the traffic signal collection module includes a signal light statistics unit and a traffic sign statistics unit, wherein the signal light statistics unit is used to count the installation status of signal lights at traffic intersections; the traffic sign statistics unit is used to count the signs on traffic routes.

[0013] Specifically, the traffic condition collection module includes a traffic pavement damage statistics unit and a traffic pavement guardrail construction statistics unit, wherein the traffic pavement damage statistics unit is used to count the damaged locations, water accumulation locations and flatness on the traffic pavement; the traffic pavement guardrail construction statistics unit is used to count the distribution of guardrail construction and the damage of guardrails on the traffic pavement.

[0014] Specifically, the data processing module includes an image preprocessing unit, a feature extraction unit and a data fusion unit, wherein the image preprocessing unit is used to preprocess the collected image; the feature extraction unit is used to extract information after image processing; and the data fusion unit is used to fuse the extracted information.

[0015] Specifically, the driving route planning module includes a positioning unit, a time zone constraint unit and an identification output unit, wherein the positioning unit is used to perform positioning according to the traffic conditions during the survey and generate a positioning reference point; the time zone constraint unit is used to obtain the time required to pass each intersection during driving at a specific speed and the length of time to wait for the traffic light when passing each traffic intersection; the identification output unit is used to focus on identifying the driving route with road condition problems during driving.

[0016] Specifically, the data analysis module includes a judgment unit, a data evaluation unit, a data recording unit and a data comparison unit, wherein the judgment unit is used to judge the data information collected for each traffic condition; the data evaluation unit is used to evaluate the data information of each intersection to obtain the traffic condition of each intersection; the data recording unit is used to record the traffic condition information based on the traffic condition collected by the data evaluation unit; and the data comparison unit is used to compare the recorded data information with the information limited by the original traffic condition.

[0017] Specifically, the specific steps of the smart city online evaluation method are as follows:

[0018] S1: Zoning planning is carried out for the urban area to be evaluated, and the urban area is divided into multiple areas such as Area A, Area B and Area C. The urban routes in each area are summarized, and the driving route planning module is used as the basis to analyze the route conditions in the divided areas and plan specific survey routes according to the route conditions;

[0019] S2: The driver or unmanned driving technology drives according to the planned specific route. During the driving process, the radar or camera on the driving vehicle takes pictures of the road traffic and road conditions. That is, a data collection subsystem is set in the vehicle, and the data collection subsystem collects images of traffic flow, traffic signals and traffic conditions;

[0020] S3: Analyze and process the information collected on traffic and road conditions in different partitions through the data processing module, generate data analysis charts from the collected image information through image processing technology, and then analyze the generated data charts through the data analysis module, extract and fuse the data to build a data model;

[0021] S4: Get the data model, mark the highlighted areas in the data model separately, identify the key areas through the data visualization module, then conduct a secondary inspection of the key areas, and conduct statistical analysis here, then formulate subsequent governance policies based on the analysis structure, connect the evaluation system with the overall system of smart city construction, and report the data analysis results obtained in the evaluation system.

[0022] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0024] Figure 1 It is a principle block diagram of the steps of the present invention;

[0025] Figure 2 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0026] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limitations of the present invention. On the contrary, embodiments of the present invention include all changes, modifications and equivalents that fall within the spirit and connotation of the appended claims.

[0027] The following describes a smart city online evaluation system according to an embodiment of the present invention in conjunction with the accompanying drawings.

[0028] like Figure 1-2As shown, the smart city online evaluation system of an embodiment of the present invention includes a driving route planning module, a data collection subsystem, a data processing module, a data analysis module and a data visualization module.

[0029] Among them, the driving route planning module is used to plan the driving route for the urban traffic to be surveyed.

[0030] The data collection subsystem is electrically connected to the driving route planning module, and the data collection subsystem is used to collect information on traffic flow, signals and road conditions.

[0031] It should be noted that the unmanned driving technology used in the driving route planning module described in this embodiment is existing technology, and the unmanned vehicle is equipped with an intelligent driving navigation system, which is connected to the intelligent driving navigation system through a mobile phone APP. The driving route of the unmanned vehicle is set according to the planned route on the mobile phone APP, and the driving speed is set. By matching the unmanned driving technology with the smart city system, the purpose of saving more resources can be achieved.

[0032] The data collection subsystem includes a traffic flow collection module, a traffic signal collection module and a traffic road condition collection module.

[0033] Among them, the traffic flow collection module is used to count the traffic flow and pedestrian flow. The traffic signal collection module is used to count the distribution of traffic lights and traffic signs. The traffic road condition collection module is used to count the location of road damage and the distribution of road guardrail construction.

[0034] It should be noted that the traffic flow collection module counts the vehicle and pedestrian flows, and analyzes the vehicle and pedestrian flows at each intersection based on the survey of multiple road conditions in the test area, that is, the distribution and duration of traffic lights at each road condition. It records whether the traffic signs on each traffic route are complete and correct. During the driving process of the vehicle, it collects road condition information and whether the guardrails used for separating vehicles and pedestrians are built normally.

[0035] The data processing module is electrically connected to the data collection subsystem, and is used to process the collected information. The data analysis module is electrically connected to the data processing module, and is used to analyze the processed information. The data visualization module is electrically connected to the data analysis module, and is used to collect the analyzed information and generate data, and to fuse and build a model based on the data.

[0036] It should be noted that the data processing module cleans, de-noises and filters the image information collected in the data collection subsystem to remove duplicate, invalid and abnormal information groups to ensure accuracy in the subsequent analysis process. The data analysis module further analyzes the generated information and re-analyzes the model constructed by data fusion. Through the visualization module, clear and highly recognizable chart information is obtained to facilitate the subsequent effective information for urban construction evaluation.

[0037] Specifically, the traffic flow collection module includes a vehicle flow statistics unit and a pedestrian flow statistics unit.

[0038] The vehicle flow statistics unit is used to count the vehicle flow passing through the traffic intersection. The pedestrian flow statistics unit is used to count the pedestrian flow passing through the traffic intersection.

[0039] It should be noted that the vehicle flow statistics unit counts the vehicle flow, vehicle speed, time it takes for vehicles to pass through the intersection, and time it takes to wait for traffic lights when vehicles pass through each intersection. The pedestrian flow statistics unit counts the pedestrian flow at the intersection, whether there are pedestrians running red lights, and the main turning directions of pedestrians at the intersection when vehicles pass through the intersection.

[0040] Furthermore, by counting the pedestrian and vehicle flows at each intersection, the duration of traffic lights at the corresponding intersections can be more reasonably planned to reduce and avoid traffic congestion.

[0041] Specifically, the traffic signal collection module includes a signal light statistics unit and a traffic sign statistics unit.

[0042] The signal light statistics unit is used to collect statistics on the installation of signal lights at traffic intersections. The traffic sign statistics unit is used to collect statistics on the signs on traffic routes.

[0043] It should be noted that during the driving process, statistics are collected on the location of traffic lights on each road section and the time it takes for each traffic light to jump, that is, the time required for vehicles to wait for traffic lights. Based on the above-mentioned pedestrian and vehicle flows, it is judged and evaluated whether traffic lights are needed for this road condition, and traffic lights are avoided in locations where they are not needed, thereby speeding up urban circulation and reducing the loss of urban resources.

[0044] Furthermore, by counting the traffic signs, it is possible to determine whether the traffic signs at each intersection on the driving route exist and are correct, thereby avoiding the problem of erroneous indications.

[0045] Specifically, the traffic condition collection module includes a traffic pavement damage statistics unit and a traffic pavement guardrail construction statistics unit.

[0046] Among them, the traffic pavement damage statistics unit is used to count the damaged position, water accumulation position and flatness of the traffic pavement. The traffic pavement guardrail construction statistics unit is used to count the distribution of guardrail construction and the damage of guardrail on the traffic pavement.

[0047] It should be noted that during the driving process, vehicles promptly mark and locate damaged road surfaces, and report to the system in a timely manner to facilitate road construction workers to repair them. In addition, during the driving process, the locations of guardrails are counted, and the sections of the road where vehicles stay on non-motorized vehicle lanes are counted. In the subsequent urban construction, guardrails are added to separate non-motorized vehicle lanes from motor vehicle lanes to prevent vehicles from staying on non-motorized vehicle lanes for a long time, and reduce the phenomenon of pedestrian and non-motorized vehicle accidents during driving.

[0048] Specifically, the data processing module includes an image preprocessing unit, a feature extraction unit and a data fusion unit.

[0049] Among them, the image preprocessing unit is used to preprocess the collected image, the feature extraction unit is used to extract the information after the image processing, and the data fusion unit is used to fuse the extracted information.

[0050] It should be noted that the image preprocessing unit described in this embodiment processes the images taken during the vehicle's driving process, filters, reduces noise and cleans the uploaded images, removes invalid and repeated image information, and then extracts valid image features and fuses the extracted feature data.

[0051] Specifically, the driving route planning module includes a positioning unit, a time zone constraint unit and an identification output unit.

[0052] Among them, there is a positioning unit, which is used to perform positioning according to the traffic conditions during the survey and generate a positioning reference point; a time zone constraint unit, which is used to obtain the time required to pass each intersection while driving at a specific speed and the length of time to wait for the traffic light when passing each traffic intersection; and an identification output unit, which is used to focus on identifying the driving routes with road condition problems during driving.

[0053] It should be noted that according to the planned route, when the vehicle is driving, the coordinates of the valid areas and locations photographed are generated and marked, and the traffic light jump time at each traffic intersection is recorded through the time zone constraint unit, and the traffic lights with incorrect jump time are marked for subsequent maintenance.

[0054] Specifically, the data analysis module includes a judgment unit, a data evaluation unit, a data recording unit and a data comparison unit.

[0055] Among them, the judgment unit is used to judge the data information collected by each traffic condition, the data evaluation unit is used to evaluate the data information of each intersection to obtain the traffic condition of each intersection. The data recording unit records the traffic condition information based on the traffic condition collected by the data evaluation unit, and the data comparison unit compares the recorded data information with the information limited by the original traffic condition.

[0056] It should be noted that the judgment unit described in this embodiment compares and judges the analyzed data, obtains and records valid data, and plans the city construction according to the compared data in the subsequent city construction process.

[0057] Specifically, the specific steps of the smart city online evaluation method are as follows:

[0058] S1: Zoning planning is carried out for the urban area to be evaluated, and the urban area is divided into multiple areas such as Area A, Area B and Area C. The urban routes in each area are summarized, and the driving route planning module is used as the basis to analyze the route conditions in the divided areas and plan specific survey routes according to the route conditions;

[0059] S2: The driver or unmanned driving technology drives according to the planned specific route. During the driving process, the radar or camera on the driving vehicle takes pictures of the road traffic and road conditions. That is, a data collection subsystem is set in the vehicle, and the data collection subsystem collects images of traffic flow, traffic signals and traffic conditions;

[0060] S3: Analyze and process the information collected on traffic and road conditions in different partitions through the data processing module, generate data analysis charts from the collected image information through image processing technology, and then analyze the generated data charts through the data analysis module, extract and fuse the data to build a data model;

[0061] S4: Get the data model, mark the highlighted areas in the data model separately, identify the key areas through the data visualization module, then conduct a secondary inspection of the key areas, and conduct statistical analysis here, then formulate subsequent governance policies based on the analysis structure, connect the evaluation system with the overall system of smart city construction, and report the data analysis results obtained in the evaluation system.

[0062] In summary, the smart city online evaluation system of the embodiment of the present invention uses real-time driving to collect information on road conditions and traffic conditions in various regions, processes and analyzes the collected information, determines the actual conditions of each traffic condition, and evaluates the actual traffic conditions, thereby optimizing urban traffic, increasing the speed of urban traffic circulation, reducing the occurrence of traffic accidents, and further improving the construction of smart cities.

[0063] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and deform the above embodiments within the scope of the present invention.

Claims

1. A smart city online evaluation system, characterized in that: It includes a driving route planning module, a data collection subsystem, a data processing module, a data analysis module and a data visualization module, among which: A driving route planning module, which is used to plan a driving route for the urban traffic to be surveyed; The data collection subsystem is electrically connected to the driving route planning module, and the data collection subsystem is used to collect information on traffic flow, signals and road conditions; The data collection subsystem includes a traffic flow collection module, a traffic signal collection module and a traffic condition collection module, wherein: Traffic flow collection module, the traffic flow collection module is used to count vehicle flow and pedestrian flow; A traffic signal collection module, which is used to collect statistics on the distribution of traffic lights and traffic signs; Traffic condition collection module, which is used to count the locations of road damage and the distribution of road guardrails; The data processing module is electrically connected to the data collection subsystem, and the data processing module is used to process the collected information; The data analysis module is electrically connected to the data processing module, and the data analysis module is used to analyze the processed information; The data visualization module is electrically connected to the data analysis module, and the data visualization module is used to collect the analyzed information and generate data, and to fuse and construct a model based on the data.

2. The smart city online evaluation system according to claim 1 is characterized in that: The traffic flow collection module includes a vehicle flow statistics unit and a pedestrian flow statistics unit, wherein: A vehicle flow statistics unit, the vehicle flow statistics unit is used to count the vehicle flow passing through the traffic intersection; A pedestrian flow statistics unit is used to count the pedestrian flow passing through the traffic road.

3. The smart city online evaluation system according to claim 1 is characterized in that: The traffic signal collection module includes a signal light statistics unit and a traffic sign statistics unit, wherein: A signal light statistics unit, which is used to collect statistics on the installation of signal lights at traffic intersections; A traffic sign statistics unit is used to collect statistics on the signs on the traffic route.

4. The smart city online evaluation system according to claim 1 is characterized in that: The traffic condition collection module includes a traffic pavement damage statistics unit and a traffic pavement guardrail construction statistics unit, wherein: A traffic pavement damage statistics unit, which is used to count the damaged position, water accumulation position and flatness of the traffic pavement; A traffic road guardrail construction statistics unit is used to count the construction distribution of guardrails on the traffic road and the damage of guardrails.

5. The smart city online evaluation system according to claim 1 is characterized in that: The data processing module includes an image preprocessing unit, a feature extraction unit and a data fusion unit, wherein: An image preprocessing unit, wherein the image preprocessing unit is used to preprocess the collected image; A feature extraction unit, wherein the feature extraction unit is used to extract information after image processing; A data fusion unit, wherein the data fusion unit is used to fuse the extracted information.

6. The smart city online evaluation system according to claim 1, characterized in that: The driving route planning module includes a positioning unit, a time zone constraint unit and an identification output unit, wherein: A positioning unit, the positioning unit is used to perform positioning according to traffic conditions during the survey and generate positioning reference points; A time zone constraint unit, the time zone constraint unit is used to obtain the time required to pass each intersection during driving at a specific speed and the time to wait for the traffic light when passing each traffic intersection; The identification output unit is used to focus on identifying the driving routes with road condition problems during driving.

7. The smart city online evaluation system according to claim 1, characterized in that: The data analysis module includes a judgment unit, a data evaluation unit, a data recording unit and a data comparison unit, wherein: A judgment unit, the judgment unit is used to judge the data information collected from each traffic condition; A data evaluation unit, the data evaluation unit is used to evaluate the data information of each intersection to obtain the traffic conditions of each intersection; A data recording unit, wherein the data recording unit records the traffic condition information based on the traffic condition collected by the data evaluation unit; A data comparison unit compares the recorded data information with the information limited by the original traffic conditions.

8. The smart city online evaluation system according to any one of claims 1 to 7, characterized in that: The specific steps of the smart city online evaluation method are as follows: S1: Zoning planning is carried out for the urban area to be evaluated, and the urban area is divided into multiple areas such as Area A, Area B and Area C. The urban routes in each area are summarized, and the driving route planning module is used as the basis to analyze the route conditions in the divided areas and plan specific survey routes according to the route conditions; S2: The driver or unmanned driving technology drives according to the planned specific route. During the driving process, the radar or camera on the driving vehicle takes pictures of the road traffic and road conditions. That is, a data collection subsystem is set in the vehicle, and the data collection subsystem collects images of traffic flow, traffic signals and traffic conditions; S3: Analyze and process the information collected on traffic and road conditions in different partitions through the data processing module, generate data analysis charts from the collected image information through image processing technology, and then analyze the generated data charts through the data analysis module, extract and fuse the data to build a data model; S4: Get the data model, mark the highlighted areas in the data model separately, identify the key areas through the data visualization module, then conduct a secondary inspection of the key areas, and conduct statistical analysis here, then formulate subsequent governance policies based on the analysis structure, connect the evaluation system with the overall system of smart city construction, and report the data analysis results obtained in the evaluation system.

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