The invention relates to the technical field of urban
traffic management, in particular to a
prediction system and method based on
traffic management, and the
system comprises a data collection module, a data preprocessing module, a
feature extraction module, a model construction module, a prediction analysis module and a
management strategy making module. A sensor network is deployed at a traffic road section and a road intersection,
traffic flow data under rain and
snow weather conditions and during holidays and festivals are collected in real time, and then
traffic flow prediction is performed through data preprocessing,
feature extraction and a
traffic flow prediction model based on a
random forest algorithm. And the traffic flow density, the vehicle speed, the
traffic bottleneck position and the potential congestion point can be accurately predicted. And based on the prediction result, a corresponding
traffic management strategy is formulated and implemented, so that
traffic congestion is effectively relieved, the traffic passing efficiency is improved, and the traffic safety is ensured. According to the invention, dynamic, accurate and intelligent traffic management can be realized, and the
system is especially suitable for high-risk time periods such as special weather conditions and holidays and festivals.