Traffic System

Traffic Management Big Data Platform

Based on billions of traffic data and violation data, big data mines the characteristic values between massive data to explore valuable data models. These precise data models provide scientific and reliable decision-making basis for traffic solution decision makers. This is a typical application example of big data in the field of transportation.

Assess the traffic flow situation according to indicators such as road traffic flow and driving speeds, judge and analyze the traffic flow conditions of key sections and intersections, analyze and predict the traffic flow status during major holidays and events.

As the infrastructure of a city, the structural layout of the road network reflects the distribution characteristics of various geographical elements in the city. The traffic system analyzes the topological structure of the urban road network and the adjacent relationship between each monitoring point by analyzing traffic data (traffic data collected by outfield devices such as checkpoint cameras, electronic police/traffic cameras, and illegal parking) and combining them with the geographic information system. It also supports displaying road network relationships, selecting road sections, and highlighting relevant detailed information.

Assess the traffic violation situation according to the changes in the total amount of road traffic violations,judge and analyze the traffic violations in key sections and key time periods, conduct correlation analysis between traffic violations and road traffic accidents.

Based on historical data, analyze the traffic flow change trend in each region of the city and obtain the fixed traffic flow in the region. The traffic system supports regional management, regional relationship management and OD display (display traffic flow data of each region in list form).

Assess the road traffic accident situation according to the changes in the total number of road traffic accidents, judge and analyze the key sections, key time periods and causes of traffic accidents. Users of the traffic system can intuitively determine the time periods and sections that need special attention.

Analyze vehicles that frequently enter and exit a certain area; Support displaying vehicle information and pictures.

Analyze and discover vehicles that appear in different regions and time periods.

Analyze vehicles with similar time and driving trajectory. Analyze all vehicle data within the range of start time and start location, end time and end location to find the correlation between vehicle trips; Supports displaying following-vehicle correlations.

Find suspected fake license plate vehicles by analyzing the same vehicle in time and space comparison.

Analyze fixed travel (commuters, buses) vehicles, vehicles on fixed travel routes, and local business (taxis, trucks) vehicles, including fixed travel characteristics (all day, nighttime, commuters, buses) and non-fixed travel characteristics (taxis, trucks).

The system calculates effective real-time dynamic traffic information on roads and determines whether traffic congestion has occurred and whether it is sporadic or frequent by analyzing traffic data collected by the traffic command center. It can formulate reasonable and effective traffic congestion diversion strategies for managers accurately.

Query the passing information of all vehicles that pass through the selected intersection and time period for the first time; For any license plate number, only record the passing information of the first passing. Through the selected intersection name, license plate number, and time period, analyze and obtain the passing information of the vehicle with the selected license plate number when it passes through the intersection for the first time in the time period.

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