A traffic sign classification method based on artificial neural network is proposed in this paper. The proposed method for classifying traffic signs first detects traffic signs by using on the property of color probability model and then classifies the detected traffic signals. In both of detection and classification processes, two artificial neural network models are utilized. Experiments on p...

Obviously, improving the road safety and the efficient allocation of limited resources to the provinces according to their ranking should be done. This paper presents a hybrid method of multivariate statistical analysis-decision making to evaluate Iran road traffic safety. In order to solve the problems of road traffic safety, a macroscopic evaluation and traffic safety level classification in ...

We compare three road classification systems to actual traffic counts in order to assess how well the classification systems perform as indicators of traffic volume, assuming that clear differentiation of traffic volumes among classes is desirable. Actual traffic counts were obtained for 215 locations in the Greater Vancouver Regional District(GVRD); the British Columbia provincial Digital Road...

During the last decade, Internet traffic classification finds its importance not only to safeguard the integrity and security of network resources, but also to ensure the quality of service for business critical applications by optimizing existing network resources. But optimization at first place requires correct identification of different traffic flows. In this paper, we have suggested a fra...

introduction: prevalence of traffic accident in iran is reported to be higher than in the other countries.    health implication, social and economical costs of these accidental traumas has not been studied and documented in kashan-iran. the present research was conducted to determine epidemiological prevalence of traumatic patients who were referred to naghavi hospital of kashan in 2005. mater...

The use of network based traffic classification to differentiate aggregate traffic has been introduced with the development of new Internet service architectures, especially with the Differentiated Services. We present measurements and analysis of various packet and flow statistics to aid in classifying or differentiating traffic flows according to the application nature. Our study on methods t...

Traffic classification technology has increased in relevance this decade, as it is now used in the definition and implementation of mechanisms for service differentiation, network design and engineering, security, accounting, advertising, and research. Over the past 10 years the research community and the networking industry have investigated, proposed and developed several classification appro...

What is the best traffic classification method to date? Under what conditions? Why? Despite a plethora of research devoted to traffic classification and a variety of proposed traffic classification methods, the research community still does not have definitive answers to these questions, and the task of traffic classification remains unapproachable and confusing for a practitioner. Rigorous com...

As South Africa’s road system comprises a total road network of rural and urban roads of approximately 534 000 kilometres, it is of utmost importance to have an effective road network level management system in place, which utilises reliable traffic loading data for long-term planning. Road authorities are therefore largely dependent on the availability and accuracy of traffic loading informati...

As network traffic is dramatically increasing due to the popularization of Internet, the need for application traffic classification becomes important for the effective use of network resources. In this paper, we present an application traffic classification method based on fixed IP-port information. A fixed IP-port is a {IP, protocol, port} triple dedicated to only one application, which is au...