Large-span bridge traffic flow density control system and method based on smart phone

Abstract

The invention discloses a large-span bridge traffic flow density control system and method based on a smart phone. The system comprises a data association module, an abnormal event monitoring module,a bidirectional traffic flow prediction module, a bridge monitoring center, an induction module and a traffic flow dynamic distribution module. The bridge monitoring center is in information communication with the bidirectional traffic flow prediction module and the traffic flow dynamic distribution module. The control system can predict the traffic flow condition in the bridge in a certain time period in the future according to the traffic flow density, the weather condition, the vehicle position, the vehicle speed and the vehicle quality of several kilometers around; when it is predicted that the traffic flow density in the bridge is too large, early warning is given to vehicles in advance to avoid the situation that a large number of vehicles are left on the bridge due to sudden accidents on the bridge and then bridge deck collapse and other dangerous situations caused by bridge overload carrying; meanwhile, the vehicles entering the bridge are subjected to lane guiding, and damageto the bridge structure due to uneven loads of different lanes on the bridge is avoided.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, and in particular relates to a smart phone-based system and method for controlling traffic flow density of long-span bridges. Background technique [0002] Long-span bridges on expressways often appear. During holidays, the traffic flow density on long-span bridges exceeds the load of the bridge itself, which seriously affects the traffic safety and traffic efficiency of bridges. [0003] In recent years, long-span bridges have been damaged, collapsed and rolled over due to long-term heavy traffic flow and excessive loads. The existing bridge traffic flow density control system mainly has the following problems: First, the control lags behind, and the traffic flow density cannot be predicted in advance. Often, the warning of prohibiting driving into the bridge deck is issued when the vehicle drives to the bridge, and it is impossible to predict the traffic flow density in advance. Early w...

AI Technical Summary

Problems solved by technology

The existing bridge traffic flow density control system mainly has the following problems: First, the control lags behind, and the traffic flow density cannot be predicted in advance. Often, the warning of prohibiting driving into the bridge deck is issued when the vehicle drives to the bridge, and it is impossible to predict the traffic flow density in advance. Early warning and control for a period of time; second, the dynamic distribution of traffic flow and bridge load on a lane-by-lane basis cannot be realized; third, the current control system is rarely able to give early warning to abnormal events on the bridge. Once an accident occurs on the bridge, short-term A large number of vehicles will stay on the bridge deck, causing the problem of bridge safety and shortened service life

Images