Shulou(Shulou.com)06/03 Report--

Intelligent traffic big data analysis system implementation function

Guided by advanced information technologies such as big data, cloud computing and mobile interconnection, with the goal of monitoring and maintaining road traffic order, ensuring smooth roads, effectively preventing and reducing traffic accidents and traffic congestion, the analysis and judgment of big data can be realized.

Under the condition that the detachment provides capture and alarm data and servers, this project will realize the following big data analysis functions:

1) Traffic congestion analysis: input the time range, and confirm whether it is caused by large traffic volume or accident according to the scatter diagram of flow velocity of historical congested road sections.

2) Analysis of case (incident) frequent occurrence area: case (incident) types include traffic congestion, suspected vehicles, traffic accidents, public security incidents, disaster weather, geological disasters, municipal incidents, large vehicle failures, fire explosions, etc.; by drawing the distribution position of the specified type of case (incident) within the specified time range on the map, the case (incident) frequent occurrence area of the current city is analyzed.

3) Year-on-year and month-on-month traffic parameters: real-time display of the development trend of road historical traffic parameters. Through charts and other forms of intuitive and comprehensive reflection of the road traffic flow changes. At the same time, historical traffic flow parameter data can be viewed according to hour, day, week, month and other conditions.

4) Statistics of accident high-incidence places: Statistics of accident high-incidence places analyze the accident occurrence places, accident occurrence numbers and accident statistical trends by date within the statistical time range from the angle of accident causes.

5) Based on OD data questionnaire, OD data analysis and mining are carried out to realize traffic flow statistical analysis of each monitoring section of expressway, including historical traffic statistical analysis and real-time traffic statistical analysis.

6) Traffic forecasting and early warning. Find out the vehicles that conform to the established strategies and rules from the mass data, and provide strong support and guarantee for the traffic management and comprehensive research and judgment of the traffic police department. The rules of strategic warning can be flexibly set according to local traffic characteristics, and constantly enriched and improved. The parameters of the policy setting can also be flexibly adjusted according to the early warning feedback situation and the policy operation experience.

7) According to the real-time video acquisition data, the real-time analysis and comparison of the collected data, when locking a vehicle, according to the characteristics of the vehicle or license plate number and other information, real-time tracking of the vehicle's route and position.

8) According to the data of public transport boarding and alighting, cluster analysis is performed on the collected data to obtain the urban public transport portrait, which provides data for the public transport design department to better design public transport routes.

9) Intelligent analysis of big data, combined with high-definition surveillance video, bayonet data, coil micro-acquisition wave data, etc., supplemented by intelligent judgment, can basically realize self-adaptation of intersections and optimization of signal timing. Through big data analysis, the comprehensive traffic capacity of multi-intersection in the region is obtained, which is used for optimizing the traffic light timing of multi-intersection in the region to improve the traffic efficiency of single intersection or region.

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