Wavelet-Neural Network Model for Automatic Traffic Incident Detection
نویسندگان
چکیده
منابع مشابه
Comparison of Fuzzy-Wavelet Radial Basis Function Neural Network Freeway Incident Detection Model with California Algorithm
A multiparadigm general methodology is advanced for development of reliable, efficient, and practical freeway incident detection algorithms. The performance of the new fuzzy-wavelet radial basis function neural network ~RBFNN! freeway incident detection model of Adeli and Karim is evaluated and compared with the benchmark California algorithm #8 using both real and simulated data. The evaluatio...
متن کاملIncident Detection Using a Fuzzy-based Neural Network Model
Incidents on the freeway disrupt traffic flow and the cost of delay caused by the incidents is significant. To reduce the impact of an incident a traffic management center needs to quickly detect and remove it from the freeway. In this vein quick and efficient automatic incident detection has been the main goal of the transportation research for many years. Also many algorithms based on loop de...
متن کاملIncident Detection Algorithm using Wavelet Energy Representation of Traffic Patterns
Automatic freeway incident detection is an important component of advanced transportation management systems ~ATMS! that provides information for emergency relief and traffic control and management purposes. Earlier algorithms for freeway incident problems have produced less reliable results, especially in recurrent congestion and compression wave traffic conditions. This article presents a new...
متن کاملTraffic Incident Detection Using Probabilistic Topic Model
Tra c congestion is quite common in urban settings, and is not always caused by tra c incidents. In this paper, we propose a simple method for detecting tra c incidents by using probe-car data to compare usual and current tra c states, thereby distinguishing incidents from spontaneous congestion. First, we introduce a tra c state model based on a probabilistic topic model to describe tra c stat...
متن کاملVerification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation
Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical and Computational Applications
سال: 2001
ISSN: 2297-8747
DOI: 10.3390/mca6020085