Reliable distinguishing DDOS flood traffic from aggregated traffic is desperately desired by reliable prevention of DDOS attacks. By reliable distinguishing, we mean that flood traffic can be distinguished from aggregated one for a predetermined probability. The basis to reliably distinguish flood traffic from aggregated one is reliable detection of signs of DDOS flood attacks. As is known, rel...

8 1094-7167/03/$17.00 © 2003 IEEE IEEE INTELLIGENT SYSTEMS believe is the first on-road demonstration of autonomous passenger vehicles performing cooperative passing and traversal of unsignalized intersections. (Unsignalized intersections have no traffic lights, stop signs, or yield signs to control traffic flow.) This demonstration mated ICSL’s communication and collaborative decision-making s...

The availability of large-scale databases containing street-level panoramic images offers the possibility to perform semi-automatic surveying of real-world objects such as traffic signs. These inventories can be performed significantly more efficiently than using conventional methods. Governmental agencies are interested in these inventories for maintenance and safety reasons. This paper introd...

In this paper, we describe AL-Sm, a roadmap with traffic signs to be used in vehicular systems. AL-Sm is part of a more general system of traffic signs (TSs) management, called AL-S, which includes two sides: central map server and client vehicular system. The server allows establishing, maintaining and disseminating AL-Sm. The client localizes the vehicle in ALSm and detects TSs. In this paper...

This paper presents the simulation of traffic flow on a congested street in the Jordanian capital Amman. The geometry, boundary conditions and assumptions were also compared against videos taken for actual traffic on the street. Although limited changes to the geometry is applicable in reality, some recommendations on speed limits and traffic signs were made to aid in reducing traffic jams. Key...

Road sign detection and tracking is one of the major tasks in a visual driver-assistance system. This paper describes an approach to detecting and tracking road signs appearing in complex traffic scenes. In the detecting phase, two neural networks are developed to extract color and shape features of traffic signs, respectively, from scenes images. A process characterized by fuzzy-set discipline...

Traffic sign inventories are important to governmental agencies as they facilitate evaluation of traffic sign locations and are beneficial for road and sign maintenance. These inventories can be created (semi-)automatically based on street-level panoramic images. In these images, object detection is employed to detect the signs in each image, followed by a classification stage to retrieve the s...

Road traffic signs provide instructions, warning information, to regulate driver behavior. In addition, these signs provide a reliable guarantee for safe and convenient driving. The Traffic Sign Detection and Recognition (TSDR) system is one of the primary applications for Advanced Driver Assistance Systems (ADAS). TSDR has obtained a great deal of attention over the recent years. But, it is st...

Abstract. This paper looks at five mechanisms by which traffic-controlled intersections can interact within a longrange traffic forecast and explores the computational implications of each. These mechanisms apply to networks that can adapt to changing travel behaviors over a long period of time. One mechanism relates to user-optimal equilibrium traffic assignment, which is a prerequisite for th...