Application of big data in intelligent transportation system to optimize traffic flow

At present, many intersections have various problems such as traffic congestion, frequent traffic accidents, and increasingly serious traffic pollution. How to optimize traffic flow, improve vehicle traffic efficiency, and improve the environment is a major challenge for traffic progress. Intelligent transportation system is an important way to solve traffic problems and optimize traffic flow. The full and efficient use of traffic big data plays a great role in promoting the application functions of intelligent transportation systems and thus solving traffic problems. Due to the characteristics of traffic big data such as large quantity, complex types, large spatial span, random variability, locality and short data cycle, this paper mainly establishes a traffic flow optimization model through the application management of big data in intelligent transportation system.