3D integrated freeway traffic event automatic detection method

Abstract

The invention discloses an automatic detection method of three-dimensional integrated-highway traffic incident, and has a fast speed and low rate of missing report. The invention has the technical proposal that whether alarming signals are sent out or not is determined by the analysis on the detected data form an expressway detector; and the detail steps are that firstly, the system can be initialized to read the driveway flow- the value of the speed valve, the driveway share- the value of the flow valve, driveway speed- the value of the share valve; secondly, the energy utilization sign can be started; thirdly, the real-time data of the traffic flow can be read, and data of all detectors can be read respectively; fourthly, a horizontal dimension, namely, the driveway flow-speed calculation module, a time dimension, namely, the driveway share-flow calculation module, a vertical dimensional detection module, namely, the driveway flow-speed calculation module, and a integrated judgment module can be used for judging based on the data of all detectors; finally, whether an alarming device is proposed to start to give an alarming signal is determined according to the judgment results.

Description

technical field [0001] The invention belongs to the field of expressway traffic event detection methods, in particular to a three-dimensional integrated expressway traffic time automatic detection method. Specifically, the automatic detection of traffic incidents is carried out on expressways or expressways where fixed traffic flow detectors are installed. Background technique [0002] Automatic Traffic Incident Detection (AID) is an important part of expressway (highway) traffic management and control system. How to accurately and quickly detect the time, location and severity of traffic incidents so as to take active and effective rescue measures, It is of great significance to the traffic management and control system. [0003] At present, there are incident detection methods using various technologies, which can be roughly divided into methods based on pattern matching technology, methods based on statistical analysis, methods based on traffic flow models and methods ba...

AI Technical Summary

Problems solved by technology

[0006] Summarize the existing event detection methods, the main problems: (1) use single-section method, or use multi-section method, in fact, these two situations are likely to occur, should be fully considered; (2) each detection method can only apply to a situation

The robustness of the system using only one detection method is not high, and the integration of multiple detection methods can be used to improve the accuracy and robustness of the system; (3) the traffic flow model and threshold in the existing methods are generally fixed In fact, these parameters change with different time periods, road characteristics and vehicle characteristics, and should be dynamically changed to reflect the latest traffic flow changes; (4) Existing methods such as methods based on the California algorithm Only rely on occupancy rate as a traffic flow parameter, McMaster algorithm considers occupancy rate and flow rate

However, a high occupancy rate may be a manifestation of traffic congestion, or it may be a situation of large vehicles passing; a low speed may be a traffic congestion, or it may be a situation where drivers are very cautious; May be very heavy traffic

Therefore, it is necessary to combine other variables to comprehensively evaluate traffic flow; (5) Existing methods hardly consider the change of traffic flow parameters between adjacent lanes of the same section when an event occurs, but in fact this change is obvious

Images