Traffic information visualization analysis method and system based on big data

Abstract

The invention discloses a traffic information visualization analysis method and system based on big data, and relates to the technical field of traffic analysis, and the system comprises a data detection end, a time sequence detection end and a traffic early warning end. The data detection end is used for comprehensively reflecting the traffic condition of a corresponding area range by setting the corresponding area range for traffic information visualization analysis; the time sequence detection end is used for acquiring environmental parameters of a corresponding area range in real time and judging whether the traffic information is abnormal or not in real time in combination with the environmental parameters; the traffic early warning end is used for predicting the traffic trend in advance by collecting the traffic information at the current moment in real time. According to the traffic information visualization analysis method and system based on the big data, it is guaranteed that the traffic condition of the region is comprehensively reflected, it is guaranteed that the situation that visually displayed information lags behind the actual traffic condition does not occur in the traffic condition changing in real time, the traffic trend is predicted in advance, and the safety and reliability of traffic information execution are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic analysis, and in particular to a traffic information visualization analysis method and system based on big data. Background Art

[0002] Traffic information visualization analysis based on big data is a process of processing, analyzing and displaying massive traffic data using big data technology. It aims to help people understand traffic conditions more intuitively, discover potential problems and formulate scientific traffic management strategies. It can analyze the changing trends of traffic flow, the spatiotemporal distribution of congestion, the travel characteristics of different modes of transportation, etc. It can also explore the relationship between traffic data and other factors through correlation analysis.

[0003] China Publication No. CN113535870B discloses a traffic information visualization analysis method based on big data. Its technical solution is a traffic information visualization analysis method based on big data, which includes the following steps: obtaining geographic information data and original data in various fields; performing data format conversion to obtain initial data with the same format; establishing a database, wherein a plurality of data layers are provided in the database; assigning geographic spatial attributes to the initial data and mapping them in the data layers, superimposing the data layers, obtaining a comprehensive data platform, and conducting traffic analysis and operation management. This application has the effect of enhancing the relevance of data and improving the efficiency of data analysis applications.

[0004] At present, there are still some shortcomings in the visualization analysis of traffic information based on big data: 1. The sources of traffic data are wide and complex, and may come from different sensors, systems and departments. It is easy to have missing or incomplete data, which makes the data unable to fully reflect the traffic conditions in the area, reducing the accuracy of the visualization analysis of traffic information; 2. Since traffic conditions change in real time, but data collection, transmission and processing require a certain amount of time, the visualized information may lag behind the actual traffic conditions, and cannot provide effective support for timely traffic decisions, affecting the efficiency of visualization analysis of traffic information; 3. When there is an emergency mutation in traffic conditions, it is impossible to predict traffic trends based on traffic conditions in a timely manner, resulting in limitations in the visualization analysis of traffic information.

[0005] Therefore, a traffic information visualization analysis method and system based on big data is proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a traffic information visualization analysis method and system based on big data to solve the problems raised in the above background.

[0007] Data detection terminal, time sequence detection terminal and traffic warning terminal; The data detection terminal is used to set the corresponding area range for visual analysis of traffic information, collect traffic data of the corresponding area range in real time, detect whether the data is missing in time during data transmission, fully reflect the traffic conditions of the corresponding area range, and immediately report to the system to issue a voice alarm when missing, and locate the missing traffic data in real time and re-acquire the data; The timing detection terminal is used to collect environmental parameters of the corresponding area in real time, determine whether the traffic information is abnormal in real time based on the environmental parameters, and display it in real time, as well as detect whether there is a lag in the visual display of traffic conditions in real time, and make timely adjustments to the traffic decision plan; The traffic warning terminal is used to collect the current traffic information in real time, and detect in real time whether there is an emergency mutation in the traffic situation, predict the traffic trend according to the current traffic situation, and adjust the execution of the traffic decision plan in real time according to the traffic trend, so as to predict the traffic trend in advance.

[0008] The data detection terminal includes a region setting module, an information acquisition module and an information detection module; The area setting module includes a traffic area unit and a multi-channel acquisition unit; The traffic area unit is used to set the corresponding area range for visual analysis of traffic information; The multi-channel acquisition unit is used to collect traffic data of the corresponding area in real time through data sensors, and the traffic data includes traffic flow, traffic speed, traffic density, traffic capacity, weather conditions and lighting conditions.

[0009] The information acquisition module includes an information identification unit and an information sorting unit; The information identification unit is used to respectively set traffic flow monitors and data sensors in multiple directions to identify traffic data of corresponding positions in real time, and record the data in real time through a data recorder to obtain actual traffic data; The information sorting unit is used to arrange the actual traffic data in order from small to large.

[0010] The information detection module includes an information detection unit, an abnormality warning unit and a secondary acquisition unit; The information detection unit is used to compare the actual traffic data corresponding to the sequence number with the expected traffic data obtained from multiple directions, and determine whether there is uncollected data according to the layout of the traffic flow monitor and the data sensor, the time interval of data collection and the project plan. If four traffic flow monitors are installed at the corresponding position, and less than four traffic flow monitors have data records in the corresponding time period, it means that there is data missing. If four traffic flow monitors are installed at the corresponding position, and four traffic flow monitors have data records in the corresponding time period, it means that there is no data missing. The abnormal warning unit is used to report the system to issue a voice alarm when there is data missing; The secondary acquisition unit is used for secondary acquisition of traffic data of a corresponding time period and a corresponding location through a traffic flow monitor and a data sensor.

[0011] The timing detection end includes an environment detection module, a real-time judgment module and a timing tracking module; The environment detection module includes an environment monitoring unit and an information exchange unit; The environmental monitoring unit is used to collect traffic environment parameters of the corresponding area in real time through environmental monitoring equipment, and set standard traffic environment parameters of the corresponding area. The standard traffic environment parameters and traffic environment parameters are of the same type and both include precipitation, temperature, wind speed and visibility of the corresponding area. The environmental monitoring equipment includes a weighing rain sensor, a temperature and humidity sensor, a wind direction and speed sensor, a wind direction and speed sensor, a forward scattering visibility sensor and a transmission visibility sensor. The information intercommunication unit is used to realize information intercommunication with a data receiver via the Internet.

[0012] The real-time judgment module includes an abnormality judgment unit and an information display unit; The abnormality judgment unit is used to set the deviation safety threshold value to be less than or equal to 0.02 and greater than or equal to -0.02, and to calculate the difference between the traffic environment parameters collected in the corresponding area and the standard traffic environment parameters in the corresponding area. If the difference is less than or equal to 0.02 and greater than or equal to -0.02, it means that the traffic environment parameters in the corresponding area are normal. If the difference is greater than 0.02 or less than -0.02, it means that the traffic environment parameters in the corresponding area are abnormal, and the reporting system issues a voice alarm reminder, and displays it visually in real time on the computer page; The information display unit is used to display the traffic environment parameters and traffic data of the corresponding area in real time through a computer.

[0013] The timing tracking module includes a timing tracking unit, a hysteresis warning unit and a traffic decision scheme; The timing tracking unit is used to visually display the traffic environment parameters and traffic data of the corresponding area in real time through clock tracking, and to determine whether the displayed data is lagging in real time through data comparison. The comparison method is as follows: The traffic environment parameters and traffic data collected in the corresponding area are compared with the traffic environment parameters and traffic data displayed in the corresponding area. The comparison formula is as follows: ; in, Represents the difference in comparison data. Indicates the traffic environment parameters and traffic data collected in the corresponding area. Indicates the traffic environment parameters and traffic data displayed in the corresponding area. Indicates the energy consumption at the time of tracking the traffic data parameter collection, Indicates the energy consumption at the time when the traffic data parameters are displayed; Step II: If the calculated =0, it is determined that there is no lag in the displayed data. If ≠0, it is determined that the displayed data is delayed; The hysteresis warning unit is used to report the system to issue a voice alarm when it is determined that the display data is delayed; The traffic decision plan is used to set the traffic standard decision plan, and adjust the corresponding traffic decision plan in real time according to the displayed traffic environment parameters and traffic data anomalies. The specific adjustment data is determined based on the calculated difference result. If the difference is greater than or equal to 0, the corresponding traffic environment parameters or traffic data are reduced. If the difference is less than 0, the corresponding traffic environment parameters or traffic data are increased.

[0014] The traffic warning terminal includes an information receiving module, a mutation collection module, a trend prediction module and a scheme adjustment module; The information receiving module is used to receive the adjusted traffic decision plan execution data in real time through a data receiver; The mutation collection module includes a traffic condition unit and a mutation warning unit; The traffic condition unit is used to collect the current traffic information in real time through a data detector, and the traffic information includes the traffic danger area, the place where the traffic accident occurs, the traffic emergency mutation channel and the traffic congestion; The mutation warning unit is used to monitor in real time whether there is any sudden traffic emergency in the corresponding area in conjunction with the public security alarm system. If there is any sudden traffic emergency, the reporting system will issue a voice reminder.

[0015] The trend prediction module is used to predict traffic trends in real time based on the current traffic information. The prediction method is as follows: Step 1: Predict whether the sudden change in traffic at the corresponding location will affect the traffic trend according to the calculation formula. The calculation formula is as follows: ; ; in, The time is the time when the traffic at the corresponding location has an emergency mutation state, T is the traffic time period when the traffic at the corresponding location has an emergency mutation state, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, is the set delay duration percentage, and They respectively indicate the predicted traffic trend impact duration in the event of an emergency change in traffic at different locations. If the traffic trend impact duration is less than or equal to 2 minutes, it means that the traffic trend is normal. If the traffic trend impact duration is greater than 2 minutes, it means that the traffic trend is abnormal, and the reporting system issues a voice reminder. The scheme adjustment module includes a scheme adjustment unit and a scheme execution tracking unit; The scheme adjustment unit is used to adjust the traffic decision scheme according to the traffic trend prediction result, and if the traffic trend has an impact on the vehicle for a certain period of time, the traffic route is changed according to the positioning navigation; The scheme execution tracking unit is used to track the adjusted traffic decision scheme in real time through a data tracker, and calculate the difference between the traffic decision schemes before and after the adjustment. If the difference is equal to 0, it means that the traffic decision scheme is adjusted abnormally. If the difference is not equal to 0, it means that the traffic decision scheme is adjusted normally.

[0016] A traffic information visualization analysis method based on big data includes the following steps: Step 1: Configure the traffic information remote control area server IP address information; Step 2: Enter the data detection terminal, collect traffic data of the corresponding area in real time, and detect whether the data is missing in real time during data transmission, so as to fully reflect the traffic conditions in the corresponding area. If the data is missing, the reporting system will issue a voice alarm, and locate and reacquire the data in real time when the data is missing; Step 3: Enter the timing detection terminal, collect the environmental parameters of the corresponding area in real time, make real-time judgments and visualize the environmental parameters, detect whether the visualized traffic situation is lagging behind, and adjust the traffic decision plan; Step 4: Enter the traffic warning terminal, collect the current traffic information in real time, and when the traffic conditions change suddenly, predict the traffic trend in time according to the traffic conditions, and adjust the execution of the traffic decision plan in real time according to the traffic trend.

[0017] The present invention has the following beneficial effects: 1. In the present invention, by setting a data detection terminal, when visualizing and analyzing traffic information based on big data, timely detecting whether data is missing during data transmission ensures that the traffic conditions in the corresponding area are fully reflected, and when missing, the missing traffic data is located in real time and the data is re-acquired, so that when visualizing and analyzing traffic information, it is possible to avoid missing or incomplete data, ensure that the traffic conditions in the area are fully reflected, and improve the accuracy of visualizing and analyzing traffic information.

[0018] 2. In the present invention, by setting a timing detection terminal, when visually analyzing traffic information based on big data, it is possible to determine in real time whether the traffic information is abnormal and display it visually in real time, and adjust the traffic decision plan in real time to ensure that the real-time changing traffic conditions will not cause the visualized information to lag behind the actual traffic conditions. This can provide effective support for timely traffic decisions and improve the efficiency of visual analysis of traffic information.

[0019] 3. In the present invention, by setting up a traffic warning terminal, when visually analyzing traffic information based on big data, by predicting traffic trends based on the current traffic conditions, and adjusting the execution of traffic decision plans in real time based on the traffic trends, when the traffic conditions make emergency changes, the traffic trends can be predicted in advance, thereby reducing the limitations of visual analysis of traffic information and increasing the safety and reliability of traffic information execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of the system architecture of a traffic information visualization analysis method and system based on big data according to the present invention; Figure 2 A schematic diagram of the architecture of a data detection end of a traffic information visualization analysis method and system based on big data according to the present invention; Figure 3 A schematic diagram of the architecture of a time series detection end of a traffic information visualization analysis method and system based on big data in the present invention; Figure 4 The present invention is a schematic diagram of the architecture of a traffic warning terminal of a traffic information visualization analysis method and system based on big data. DETAILED DESCRIPTION

[0021] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0022] Embodiment 1 Please refer to Figure 1 to Figure 2 As shown: A traffic information visualization analysis method and system based on big data, including a data detection terminal, a time series detection terminal and a traffic warning terminal; The data detection terminal is used to set the corresponding area for visual analysis of traffic information, collect traffic data in the corresponding area in real time, detect whether the data is missing during data transmission, fully reflect the traffic conditions in the corresponding area, and immediately report to the system to issue a voice alarm when the data is missing, and locate the missing traffic data in real time and re-acquire the data; The timing detection terminal is used to collect environmental parameters of the corresponding area in real time, and judge whether the traffic information is abnormal in real time based on the environmental parameters, and display it in real time, as well as to detect whether there is a lag in the visual display of traffic conditions in real time, and make timely adjustments to the traffic decision plan; The traffic warning terminal is used to collect the current traffic information in real time and detect in real time whether there is an emergency change in the traffic situation. It predicts the traffic trend according to the current traffic situation and adjusts the execution of the traffic decision plan in real time according to the traffic trend to predict the traffic trend in advance.

[0023] The data detection end includes a region setting module, an information acquisition module and an information detection module; The area setting module includes a traffic area unit and a multi-channel acquisition unit; The traffic area unit is used to set the corresponding area range for traffic information visualization analysis; The multi-channel acquisition unit is used to collect traffic data of the corresponding area in real time through data sensors. The traffic data includes traffic flow, traffic speed, traffic density, traffic capacity, weather conditions and lighting conditions. The corresponding area for traffic information visualization analysis is set and traffic data of the corresponding area is collected in real time. When the traffic data is transmitted through the sensor, it is detected in time whether the data is missing to ensure that the traffic conditions in the corresponding area are fully reflected.

[0024] The information acquisition module includes an information identification unit and an information sorting unit; The information recognition unit is used to respectively set traffic flow monitors and data sensors in multiple directions to recognize the traffic data of corresponding positions in real time, and record the data in real time through a data recorder to obtain actual traffic data; The information sorting unit is used to arrange the actual traffic data in order from small to large.

[0025] The information detection module includes an information detection unit, an abnormal warning unit and a secondary acquisition unit; The information detection unit is used to compare the actual traffic data corresponding to the sequence number with the expected traffic data obtained from multiple directions, and determine whether there is uncollected data according to the layout of the traffic flow monitor and the data sensor, the time interval of data collection and the project plan. If four traffic flow monitors are installed at the corresponding position, and less than four traffic flow monitors have data records in the corresponding time period, it means that there is data missing. If four traffic flow monitors are installed at the corresponding position, and four traffic flow monitors have data records in the corresponding time period, it means that there is no data missing. The abnormal warning unit is used to report the system to issue a voice alarm when there is data missing; The secondary acquisition unit is used to collect traffic data at the corresponding location in the corresponding time period through traffic flow monitors and data sensors, locate missing traffic data in real time and re-acquire data, so as to avoid missing or incomplete data when conducting traffic information visualization analysis, ensure comprehensive reflection of the traffic conditions in the area, and improve the accuracy of traffic information visualization analysis.

[0026] Embodiment 2 Please refer to Figure 3 As shown: Based on the first embodiment, the timing detection end includes an environment detection module, a real-time judgment module and a timing tracking module; The environmental detection module includes an environmental monitoring unit and an information exchange unit; The environmental monitoring unit is used to collect the traffic environment parameters of the corresponding area in real time through the environmental monitoring equipment, and set the standard traffic environment parameters of the corresponding area. The standard traffic environment parameters and the traffic environment parameters are of the same type and both include precipitation, temperature, wind speed and visibility of the corresponding area. The environmental monitoring equipment includes a weighing rain sensor, a temperature and humidity sensor, a wind direction and speed sensor, a wind direction and speed sensor, a forward scattering visibility sensor and a transmission visibility sensor; The information intercommunication unit is used to realize information intercommunication with a data receiver through the Internet.

[0027] The real-time judgment module includes an abnormality judgment unit and an information display unit; The abnormality judgment unit is used to set the deviation safety threshold value to be less than or equal to 0.02 and greater than or equal to -0.02, and to calculate the difference between the traffic environment parameters collected in the corresponding area and the standard traffic environment parameters in the corresponding area. If the difference is less than or equal to 0.02 and greater than or equal to -0.02, it means that the traffic environment parameters in the corresponding area are normal. If the difference is greater than 0.02 or less than -0.02, it means that the traffic environment parameters in the corresponding area are abnormal, and the reporting system issues a voice alarm reminder, and displays it visually in real time on the computer page; The information display unit is used to display the traffic environment parameters and traffic data of the corresponding area in real time through a computer.

[0028] The time series tracking module includes a time series tracking unit, a hysteresis warning unit and a traffic decision plan; The timing tracking unit is used to visualize and display the traffic environment parameters and traffic data of the corresponding area in real time through clock tracking, and to judge whether there is a lag in the displayed data in real time through data comparison. The comparison method is as follows: The traffic environment parameters and traffic data collected in the corresponding area are compared with the traffic environment parameters and traffic data displayed in the corresponding area. The comparison formula is as follows: ; in, Represents the difference in comparison data. Indicates the traffic environment parameters and traffic data collected in the corresponding area. Indicates the traffic environment parameters and traffic data displayed in the corresponding area. Indicates the energy consumption at the time of tracking the traffic data parameter collection, Indicates the energy consumption at the time when the traffic data parameters are displayed; Step II: If the calculated =0, it is determined that there is no lag in the displayed data. If ≠0, it is determined that the displayed data is lagging. By real-time collection of environmental parameters of the corresponding area, it is determined in real time whether the traffic information is abnormal and displayed visually in real time based on the environmental parameters, and whether there is a lag in the visual display of traffic conditions; The hysteresis warning unit is used to report the system to issue a voice alarm when it is determined that the display data is delayed; The traffic decision plan is used to set the traffic standard decision plan, and adjust the corresponding traffic decision plan in real time according to the displayed traffic environment parameters and traffic data anomalies. The specific adjustment data is determined based on the calculated difference result. If the difference is greater than or equal to 0, the corresponding traffic environment parameters or traffic data are reduced. If the difference is less than 0, the corresponding traffic environment parameters or traffic data are increased. It is detected whether there is a lag in the visual display of traffic conditions, and the traffic decision plan is adjusted in real time to ensure that the real-time changing traffic conditions will not cause the visualized information to lag behind the actual traffic conditions. It can provide effective support for timely traffic decisions and improve the efficiency of visual analysis of traffic information.

[0029] Embodiment 3 Please refer to Figure 4 As shown: Based on the first embodiment, the traffic warning terminal includes an information receiving module, a mutation collection module, a trend prediction module and a solution adjustment module; The information receiving module is used to receive the adjusted traffic decision plan execution data in real time through a data receiver; The mutation collection module includes a traffic status unit and a mutation warning unit; The traffic condition unit is used to collect the current traffic information in real time through the data detector. The traffic information includes the traffic danger area, the place where the traffic accident occurs, the traffic emergency mutation channel and the traffic congestion; The mutation warning unit is used in conjunction with the public security alarm system to monitor in real time whether there are any emergency traffic mutations in the corresponding area. If there are any emergency traffic mutations, the reporting system will issue a voice reminder to detect in real time whether there are any emergency traffic mutations, and predict traffic trends in a timely manner based on the current traffic conditions.

[0030] The trend prediction module is used to predict traffic trends in real time based on the current traffic information. The prediction method is as follows: Step 1: Predict whether the sudden change in traffic at the corresponding location will affect the traffic trend according to the calculation formula. The calculation formula is as follows: ; ; in, The time is the time when the traffic at the corresponding location has an emergency mutation state, T is the traffic time period when the traffic at the corresponding location has an emergency mutation state, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, is the set delay duration percentage, and They respectively indicate the predicted traffic trend impact duration in the event of an emergency change in traffic at different locations. If the traffic trend impact duration is less than or equal to 2 minutes, it means that the traffic trend is normal. If the traffic trend impact duration is greater than 2 minutes, it means that the traffic trend is abnormal, and the reporting system issues a voice reminder. The plan adjustment module includes a plan adjustment unit and a plan execution tracking unit; The plan adjustment unit is used to adjust the traffic decision plan according to the traffic trend prediction results. If the traffic trend has an impact on the vehicle for a certain period of time, the traffic route will be changed according to the positioning navigation; The plan execution tracking unit is used to track the adjusted traffic decision plan in real time through the data tracker, and calculate the difference between the traffic decision plan before and after the adjustment. If the difference is equal to 0, it means that the traffic decision plan adjustment is abnormal. If the difference is not equal to 0, it means that the traffic decision plan adjustment is normal. The execution of the traffic decision plan is adjusted in real time according to the traffic trend. When the traffic condition undergoes an emergency mutation, the traffic trend can be predicted in advance, reducing the limitations of the visualization analysis of traffic information and increasing the safety and reliability of the execution of traffic information.

[0031] In the present invention, a traffic information visualization analysis method and system based on big data are provided. When the system is in operation, the IP address information of the remote control area server of the traffic information is first configured; the data detection end is entered, and the traffic data of the corresponding area is collected in real time, and whether the data is missing is detected in real time during data transmission, so as to fully reflect the traffic conditions of the corresponding area. If the data is missing, the reporting system issues a voice alarm, and the data is located and re-acquired in real time when the data is missing. When the traffic information visualization analysis based on big data is performed, the corresponding area for traffic information visualization analysis is set, and the traffic data of the corresponding area is collected in real time. When the traffic data is transmitted through the sensor, it is timely detected whether the data is missing, so as to ensure that the traffic conditions of the corresponding area are fully reflected. When the data is missing, the reporting system immediately issues a voice alarm, and the missing traffic data is located and re-acquired in real time, so that when the traffic information visualization analysis is performed, the situation of missing or incomplete data can be avoided, so as to ensure that the traffic conditions of the area are fully reflected and the accuracy of the traffic information visualization analysis is improved; the timing detection end is entered, and the environmental parameters of the corresponding area are collected in real time, and the visual display is judged in real time in combination with the environmental parameters, and the visual display traffic is detected. Whether the traffic situation is lagging behind, and adjust the traffic decision plan. In the visualization analysis of traffic information based on big data, by real-time collection of environmental parameters of the corresponding area, combined with environmental parameters, it is judged whether the traffic information is abnormal in real time and visualized in real time, and whether the visualized traffic situation is lagging behind is detected in time, and the traffic decision plan is adjusted in real time to ensure that the real-time changing traffic situation will not cause the visualized information to lag behind the actual traffic situation, which can provide effective support for timely traffic decision-making and improve the efficiency of visualization analysis of traffic information; enter the traffic warning terminal, by real-time collection of traffic information at the current moment, and when the traffic situation issues an emergency mutation, timely predict the traffic trend according to the traffic situation, and adjust the execution of the traffic decision plan in real time according to the traffic trend. In the visualization analysis of traffic information based on big data, by real-time collection of traffic information at the current moment, and real-time detection of whether the traffic situation has an emergency mutation, timely predict the traffic trend according to the traffic situation at the current moment, and adjust the execution of the traffic decision plan in real time according to the traffic trend. When the traffic situation has an emergency mutation, the traffic trend can be predicted in advance, reducing the limitations of visualization analysis of traffic information and increasing the safety and reliability of traffic information execution.

[0032] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A traffic information visualization analysis system based on big data, characterized in that: The system includes a data detection terminal, a timing detection terminal and a traffic warning terminal; The data detection terminal is used to set the corresponding area range for visual analysis of traffic information, collect traffic data of the corresponding area range in real time, detect whether the data is missing in time during data transmission, fully reflect the traffic conditions of the corresponding area range, and immediately report to the system to issue a voice alarm when missing, and locate the missing traffic data in real time and re-acquire the data; The timing detection terminal is used to collect environmental parameters of the corresponding area in real time, determine whether the traffic information is abnormal in real time based on the environmental parameters, and display it in real time, as well as detect whether there is a lag in the visual display of traffic conditions in real time, and make timely adjustments to the traffic decision plan; The traffic warning terminal is used to collect the current traffic information in real time, and detect in real time whether there is an emergency mutation in the traffic situation, predict the traffic trend according to the current traffic situation, and adjust the execution of the traffic decision plan in real time according to the traffic trend, so as to predict the traffic trend in advance.

2. The system according to claim 1, characterized in that: The data detection terminal includes a region setting module, an information acquisition module and an information detection module; The area setting module includes a traffic area unit and a multi-channel acquisition unit; The traffic area unit is used to set the corresponding area range for visual analysis of traffic information; The multi-channel acquisition unit is used to collect traffic data of the corresponding area in real time through data sensors, and the traffic data includes traffic flow, traffic speed, traffic density, traffic capacity, weather conditions and lighting conditions.

3. The system according to claim 2, characterized in that: The information acquisition module includes an information identification unit and an information sorting unit; The information identification unit is used to respectively set traffic flow monitors and data sensors in multiple directions to identify traffic data of corresponding positions in real time, and record the data in real time through a data recorder to obtain actual traffic data; The information sorting unit is used to arrange the actual traffic data in order from small to large.

4. The system according to claim 3, characterized in that: The information detection module includes an information detection unit, an abnormality warning unit and a secondary acquisition unit; The information detection unit is used to compare the actual traffic data corresponding to the sequence number with the expected traffic data obtained from multiple directions, and determine whether there is uncollected data according to the layout of the traffic flow monitor and the data sensor, the time interval of data collection and the project plan. If four traffic flow monitors are installed at the corresponding position, and less than four traffic flow monitors have data records in the corresponding time period, it means that there is data missing. If four traffic flow monitors are installed at the corresponding position, and four traffic flow monitors have data records in the corresponding time period, it means that there is no data missing. The abnormal warning unit is used to report the system to issue a voice alarm when there is data missing; The secondary acquisition unit is used for secondary acquisition of traffic data of a corresponding time period and a corresponding location through a traffic flow monitor and a data sensor.

5. The system according to claim 1, characterized in that: The timing detection end includes an environment detection module, a real-time judgment module and a timing tracking module; The environment detection module includes an environment monitoring unit and an information exchange unit; The environmental monitoring unit is used to collect traffic environment parameters of the corresponding area in real time through environmental monitoring equipment, and set standard traffic environment parameters of the corresponding area. The standard traffic environment parameters and traffic environment parameters are of the same type and both include precipitation, temperature, wind speed and visibility of the corresponding area. The environmental monitoring equipment includes a weighing rain sensor, a temperature and humidity sensor, a wind direction and speed sensor, a wind direction and speed sensor, a forward scattering visibility sensor and a transmission visibility sensor. The information intercommunication unit is used to realize information intercommunication with a data receiver via the Internet.

6. The system according to claim 5, characterized in that: The real-time judgment module includes an abnormality judgment unit and an information display unit; The abnormality judgment unit is used to set the deviation safety threshold value to be less than or equal to 0.02 and greater than or equal to -0.02, and to calculate the difference between the traffic environment parameters collected in the corresponding area and the standard traffic environment parameters in the corresponding area. If the difference is less than or equal to 0.02 and greater than or equal to -0.02, it means that the traffic environment parameters in the corresponding area are normal. If the difference is greater than 0.02 or less than -0.02, it means that the traffic environment parameters in the corresponding area are abnormal, and the reporting system issues a voice alarm reminder, and displays it visually in real time on the computer page; The information display unit is used to display the traffic environment parameters and traffic data of the corresponding area in real time through a computer.

7. The system according to claim 6, characterized in that: The timing tracking module includes a timing tracking unit, a hysteresis warning unit and a traffic decision scheme; The timing tracking unit is used to visually display the traffic environment parameters and traffic data of the corresponding area in real time through clock tracking, and to determine whether the displayed data is lagging in real time through data comparison. The comparison method is as follows: The traffic environment parameters and traffic data collected in the corresponding area are compared with the traffic environment parameters and traffic data displayed in the corresponding area. The comparison formula is as follows: ； in, Represents the difference in comparison data. Indicates the traffic environment parameters and traffic data collected in the corresponding area. Indicates the traffic environment parameters and traffic data displayed in the corresponding area. Indicates the energy consumption at the time of tracking the traffic data parameter collection, Indicates the energy consumption at the time when the traffic data parameters are displayed; Step II: If the calculated =0, it is determined that there is no lag in the displayed data. If ≠0, it is determined that the displayed data is delayed; The hysteresis warning unit is used to report the system to issue a voice alarm when it is determined that the display data is delayed; The traffic decision plan is used to set the traffic standard decision plan, and adjust the corresponding traffic decision plan in real time according to the displayed traffic environment parameters and traffic data anomalies. The specific adjustment data is determined based on the calculated difference result. If the difference is greater than or equal to 0, the corresponding traffic environment parameters or traffic data are reduced. If the difference is less than 0, the corresponding traffic environment parameters or traffic data are increased.

8. The system according to claim 1, characterized in that: The traffic warning terminal includes an information receiving module, a mutation collection module, a trend prediction module and a scheme adjustment module; The information receiving module is used to receive the adjusted traffic decision plan execution data in real time through a data receiver; The mutation collection module includes a traffic condition unit and a mutation warning unit; The traffic condition unit is used to collect the current traffic information in real time through a data detector, and the traffic information includes the traffic danger area, the place where the traffic accident occurs, the traffic emergency mutation channel and the traffic congestion; The mutation warning unit is used to monitor in real time whether there is any sudden traffic emergency in the corresponding area in conjunction with the public security alarm system. If there is any sudden traffic emergency, the reporting system will issue a voice reminder.

9. The system according to claim 8, characterized in that: The trend prediction module is used to predict traffic trends in real time based on the current traffic information. The prediction method is as follows: Step 1: Predict whether the sudden change in traffic at the corresponding location will affect the traffic trend according to the calculation formula. The calculation formula is as follows: ； ； in, The time is the time when the traffic at the corresponding location has an emergency mutation state, T is the traffic time period when the traffic at the corresponding location has an emergency mutation state, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, In case of an emergency traffic change at the corresponding location The amount of traffic at the time, is the set delay duration percentage, and They respectively indicate the predicted traffic trend impact duration in the event of an emergency change in traffic at different locations. If the traffic trend impact duration is less than or equal to 2 minutes, it means that the traffic trend is normal. If the traffic trend impact duration is greater than 2 minutes, it means that the traffic trend is abnormal, and the reporting system issues a voice reminder. The scheme adjustment module includes a scheme adjustment unit and a scheme execution tracking unit; The scheme adjustment unit is used to adjust the traffic decision scheme according to the traffic trend prediction result, and if the traffic trend has an impact on the vehicle for a certain period of time, the traffic route is changed according to the positioning navigation; The scheme execution tracking unit is used to track the adjusted traffic decision scheme in real time through a data tracker, and calculate the difference between the traffic decision schemes before and after the adjustment. If the difference is equal to 0, it means that the traffic decision scheme is adjusted abnormally. If the difference is not equal to 0, it means that the traffic decision scheme is adjusted normally.

10. A traffic information visualization analysis method based on big data according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Configure the traffic information remote control area server IP address information; Step 2: Enter the data detection terminal, collect traffic data of the corresponding area in real time, and detect whether the data is missing in real time during data transmission, so as to fully reflect the traffic conditions in the corresponding area. If the data is missing, the reporting system will issue a voice alarm, and locate and reacquire the data in real time when the data is missing; Step 3: Enter the timing detection terminal, collect the environmental parameters of the corresponding area in real time, make real-time judgments and visualize the environmental parameters, detect whether the visualized traffic situation is lagging behind, and adjust the traffic decision plan; Step 4: Enter the traffic warning terminal, collect the current traffic information in real time, and when the traffic conditions change suddenly, predict the traffic trend in time according to the traffic conditions, and adjust the execution of the traffic decision plan in real time according to the traffic trend.

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