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.

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...

rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. in the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. with traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. four s...

Revisit several existing traffic control algorithms and analyze their efficiency. Simplify the traffic model for better understanding of efficiency. Every vehicle travels eastward or southward only. Result: Efficiency largely depends on the length of a longest route and the number of cars.

This study aims at identifying the differences of crash characteristics at basic segments between urban and intercity expressways. Crash rate (CR) model is firstly developed as a function of traffic density. The causes leading to different CR characteristics by expressway type are then examined considering the interaction of geometry, traffic flow and ambient conditions. Affecting mechanisms of...

The Vision: Our planet has become more urban than rural in the last decade, and the share of people living in metropolitan areas continues to rise with each passing year. Urban traffic has increased dramatically over the past three decades, making driving more stressful, costly, and unhealthy. According to the Texas Transportation Institute, the overall cost of (in the form of wasted fuel and l...

This study aims at identifying the differences of crash characteristics at basic segments between urban and intercity expressways. Crash rate (CR) model is firstly developed as a function of traffic density. The causes leading to different CR characteristics by expressway type are then examined considering the interaction of geometry, traffic flow and ambient conditions. Affecting mechanisms of...