Fusing moving average model and stationary wavelet decomposition for automatic incident detection: Case study of Tokyo Expressway
Liu, Qinghua, Chung, Edward, & Zhai, Liujia (2014) Fusing moving average model and stationary wavelet decomposition for automatic incident detection: Case study of Tokyo Expressway. Journal of Traffic and Transportation Engineering (English Edition), 1(6), pp. 404-414.
Traffic congestion is a growing problem in urban areas all over the world. The transport sector has been in full swing event study on intelligent transportation system for automatic detection. The functionality of automatic incident detection on expressways is a primary objective of advanced traffic management system. In order to save lives and prevent secondary incidents, accurate and prompt incident detection is necessary. This paper presents a methodology that integrates moving average (MA) model with stationary wavelet decomposition for automatic incident detection, in which parameters of layer coefficient are extracted from the difference between the upstream and downstream occupancy. Unlike other wavelet-based method presented before, firstly it smooths the raw data with MA model. Then it uses stationary wavelet to decompose, which can achieve accurate reconstruction of the signal, and does not shift the signal transfer coefficients. Thus, it can detect the incidents more accurately. The threshold to trigger incident alarm is also adjusted according to normal traffic condition with congestion. The methodology is validated with real data from Tokyo Expressway ultrasonic sensors. Experimental results show that it is accurate and effective, and that it can differentiate traffic accident from other condition such as recurring traffic congestion.
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|Item Type:||Journal Article|
|Keywords:||automatic incident detection, moving average model, stationary wavelet decomposition, Tokyo Expressway|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 Periodical Offices of Chang’an University|
|Deposited On:||29 May 2016 22:53|
|Last Modified:||30 May 2016 22:31|
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