Automatic detection method of traffic incident on highway

Abstract

The invention provides an automatic detection method of a traffic incident on a highway, which is used for automatically detecting a traffic incident on a highway in the case of deficient processing data. The automatic detection method comprises the following steps of: acquiring real-time traffic flow information of a detection area according to a set time interval by an induction coil or video detection equipment through a detection system; preprocessing (including normalization, discretization and the like) the acquired real-time traffic flow information; inputting the preprocessed data into a detection algorithm based on a Navie Bayesian classifier so as to obtain posterior probability of the incident; and exponentially smoothing the obtained posterior probability, sending an alarm and informing a traffic management department to take corresponding measures to handle the incident if the smoothed posterior probability is higher than a threshold value, and otherwise proceeding to acquire the data and carrying out next judgment. The automatic detection method provided by the invention has the advantages of high detection rate, low false alarm rate and short detection time, and the deficient data can be processed by the method, thus the method can be widely applied to a highway management system.

Description

technical field [0001] The invention belongs to the technical field of traffic intelligent management and control, and relates to a method for automatic detection of expressway traffic events that can deal with missing data, in particular to an automatic detection method for expressway traffic events based on tree-added naive Bayesian classifiers , for real-time automatic detection of the existence of traffic events in the highway management system. Background technique [0002] Traffic incidents are defined as random and occasional incidents that reduce road capacity and disrupt normal traffic flow, such as car accidents, vehicle breakdowns, road damage, and scattered goods. Traffic incidents are an important factor causing road congestion. According to relevant foreign statistics, traffic incidents have caused 52-58% of traffic congestion in urban areas, resulting in delays of about two million hours, resulting in travel time and additional fuel consumption. The loss is e...

AI Technical Summary

Problems solved by technology

Although, in recent years, video recognition technology has also been applied in incident detection, but because it cannot cover all areas and work around the clock, the current method of detecting traffic incidents based on changes in traffic flow parameters is the main research direction

Invented "Automatic Expressway Incident Detection System Using Artificial Neural Network and Genetic Algorithm" (CN1311880A) discloses a traffic incident detection algorithm based on neural network, which has better detection performance, but neural network is a black box structure, in the actual process Difficult to apply

Invented "Automatic Detection Method for Expressway Traffic Incidents Based on Partial Least Squares Principle" (CN 100481153C) The algorithm structure is relatively simple, but it is difficult to deal with the situation of missing data

In the actual data collection, due to the large number of detectors and they are always in working condition, equipment failures, program errors or detection failures often occur, resulting in the lack of traffic flow parameters in a certain period of time. Therefore, the event detection algorithm must overcome this difficulty

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