![]() ![]() The paper is organized as fellow: Section 2 describes the methodology of road accidents detection scheme. Furthermore it is important that the forecast model takes into consideration the abnormal conditions that occur in real-time. For a successful forecast of traffic flow, it ought to apperceive the variety of environment and can adjust the parameters automatically. To optimize the detection algorithm we have collected travel data by the mobile phone. The real-time information has been achieved to update the historical adaptive information. Road accident detection scheme is focused on real-time information. This paper introduces road accident detection scheme. If a high forecast precision is requested, it is necessary to consider the real-time information includes the non-conditions events. However its forecast precision is not high. The advantage of the exponential smoothing algorithm is simple. This paper reports on the performance of three moving average techniques in predicting average travel speeds up to 10 minutes ahead of time. Meanwhile the robustness and accuracy of the exponential smoothing forecast are high and impressive. Various forecast schemes - have been proposed to manage the travel flow information. Currently, the Intelligent Transportation System (ITS) is the most promising approach to implementation of the third strategy. This strategy is a best trade-off and gains more and more attention. The third strategy is to focus on efficient and intelligent utilization of the existing transportation infrastructures. The second strategy is to limit the traffic demand or make traveling more expensive, which will be strongly disapproved of by travelers. However this strategy is very expensive and can only be accomplished in the long term. There are three basic strategies to relieve congestion : The first strategy is to increase the transportation infrastructure. Our analysis reveals that the major factor leading to an accident is not speed itself but the variation of speed. On the other hand, some studies showed that fatal accidents increased with high speed limits. ![]() Many studies - showed that higher speeds did not lead to serious accidents. The main reason in accidents on the highway can be divided into four categories such as the environment, traffic conditions, vehicles and drivers behavior. In addition a real-time accident forecast model was developed based on short-term variation of traffic flow characteristics.Īnomaly Traffic, Detection Scheme, Moving Average, Intelligent Transportation System The detection algorithm is based on analyzing the collected traffic flow parameters. The proposed traffic incident detection algorithm is based on the automatic exponential moving average scheme. In this paper we will introduce road accident detection scheme based on improved exponential moving average. Various forecast schemes have been proposed to manage the traffic data. This paper will discuss and introduce new algorithm for road accident detection. There are many reasons for road accidents. Road accidents continue to increase in digital age. The main reasons of major percentage of traffic congestion are the incidents. ![]() The traffic congestion costs billions of dollars to economy. Accident has received the most attention from researchers due to its impacts economically. Many modeling approaches have been proposed to help forecast and detect incidents. Received 14 February 2014 revised 12 March 2014 accepted 7 April 2014 This work is licensed under the Creative Commons Attribution International License (CC BY). 1Faculty of Exact Science, Computer Science Department, Al Qasemi Acedemic College, Baqa Al Qarbiah, IsraelĢFaculty of Civil and Environmental Engineering, Department of Transportation Engineering, Technion, Haifa, IsraelĮmail: © 2014 by authors and Scientific Research Publishing Inc. ![]()
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