The paper highlight intelligent Urban Traffic control using Neuro-Genetic Petrinet. The combination of genetic algorithm provides dynamic change of weight for faster learning and converging of Neuro-Petrinet. Keywords— Neuro Petrinet, Urban Traffic Systems, Genetic Algorithm.

Approximately 75–80% of the population of North America currently lives in urban areas as defined by national census bureaus, and urbanization is continuing to increase. Future trajectories of fossil fuel emissions are associated with a high degree of uncertainty; however, if the activities of urban residents and the rate of urban land conversion can be captured in urban systems models, plausib...

Combustion aerosol is a more health relevant and a better indicator for dispersion of traffic-related exhaust emissions than PM 2.5 and PM 10. Therefore, monitoring combustion aerosol is proposed to assess the effects of traffic measures (environmental zoning; reduction of exhaust emissions; dynamic traffic management) on air quality and health. In present national and local monitoring networks...

Abstract: Short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both interand intra-urban highways. The strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. This paper establishes the ap...

Traffic monitoring is essential for accounting user traffic and detecting anomaly traffic such as Internet worms or P2P file sharing applications. Since typical Internet traffic monitoring tools use only TCP/UDP/IP header information, they cannot effectively classify diverse application traffic, because TCP or UDP port numbers could be used by different applications. Moreover, under the recent ...

Detecting regional spatial structures based on spatial interactions is crucial in applications ranging from urban planning to traffic control. In the big data era, various movement trajectories are available for studying spatial structures. This research uses large scale Shanghai taxi trip data extracted from GPS-enabled taxi trajectories to reveal traffic flow patterns and urban structure of t...

Designing and optimizing traffic behavior and animation is a challenging problem of interest to virtual environment content generation and to urban planning and design. While some traffic simulation methods have appeared in computer graphics, most related systems focus on the design of buildings, roads, or cities but without explicitly considering urban traffic. To our knowledge, our work provi...

More and more people are concerned about the negative phenomenon resulted by the negative effects of the growing traffic motorization. Traffic congestion is the primary direct impact which became everyday occurrence in the last decade. As world trade is continuously increasing, it is obvious that congestions represent also a growing problem. The capacity of the traffic networks saturates during...

Monitoring network traffic has become increasingly challenging in terms of number of hosts, protocol proliferation and probe placement topologies. Virtualised environments and cloud services shifted the focus from dedicated hardware monitoring devices to virtual machine based, software traffic monitoring applications. 
 This paper covers the design and implementation of ntopng, an open-source t...