Abstract
Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents. Road accidents continue to increase in digital age. There are many reasons for road accidents. This paper will discuss and introduce new algorithm for road accident detection. Various forecast schemes have been proposed to manage the traffic data. In this paper we will introduce road accident detection scheme based on improved exponential moving average. The proposed traffic incident detection algorithm is based on the automatic exponential moving average scheme. The detection algorithm is based on analyzing the collected traffic flow parameters. The detection algorithm is based on analyzing the collected traffic flow parameters. In addition a real-time accident forecast model was developed based on short-term variation of traffic flow characteristics.
Highlights
The main reason in accidents on the highway can be divided into four categories such as the environment, traffic conditions, vehicles and drivers behavior
Our analysis reveals that the major factor leading to an accident is not speed itself but the variation of speed
This paper reports on the performance of three moving average techniques in predicting average travel speeds up to 10 minutes ahead of time
Summary
The main reason in accidents on the highway can be divided into four categories such as the environment, traffic conditions, vehicles and drivers behavior. Many studies [1]-[4] showed that higher speeds did not lead to serious accidents. Some studies showed that fatal accidents increased with high speed limits. Our analysis reveals that the major factor leading to an accident is not speed itself but the variation of speed. There are three basic strategies to relieve congestion [5]: The first strategy is to increase the transportation infrastructure. This strategy is very expensive and can only be accomplished in the long term. The second strategy is to limit the traffic demand or make traveling more expensive, which will be strongly disapproved of by
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