Modeling and development of control systems to deal with the congestion at intersection in urban traffic is a critical research issue. Several approaches have been used to develop the modeling and controlling phenomenon in the said problem. These approaches include, Petri net, Fuzzy Logic, Neural Network, Genetic Algorithms, Activity Theory, Multi Agent Systems and many more. This paper is a su...

While maps exist for most urban areas, there are many locations where the information is not accurate, it may be out of date, or it may be incomplete or of insufficient resolution for the applications. Many difficult problems remain in automated cartography. One of them is the extraction of a street grid in an urban environment. Much of the work on road detection has concentrated on either low ...

In recent past, significant efforts have been made to improve the scientific understanding of exhaust dispersion phenomenon in urban street canyons/intersection. The amount of turbulence generated by natural winds within the street canyon might be smaller than that of traffic induced turbulence. Therefore, the influence of traffic-induced turbulence on exhaust dispersion has to be quantified. I...

This paper proposes a new way to study traffic flow at an urban unsignalised intersection, through detailed space considerations, using cellular automata (CA). Heterogeneity and inconsistency are simulated by incorporation of different categories of driver behaviour and reassignment of categories with given probabilities at each time step. The method is able to reproduce many features of urban ...

& Future urban road traffic management is an example of a socially relevant problem that can be modeled as a large-scale, open, distributed system, composed of many autonomous interacting agents, which need to be controlled in a decentralized manner. In this context, advanced, reservation-based, intersection control—where autonomous vehicles controlled entirely by agents interact with a coordin...

This paper proposes an unsupervised abnormality detection method using a distributed video surveillance system in an intersection. Among the most important researches in intelligent transportation systems, especially in field of urban traffic management, automatically intersection flow monitoring is one of the critical and challenging tasks. The main focus of this paper is to analyse activities...

This paper studies traffic variable estimation, and presents a method of estimation for the number of vehicle waiting for queue (NVWQ) based on neuro-fuzzy at urban intersection. we present results of training the neural network for a detectorized intersection in Changsha City. The accuracy of NVWQ estimation using the fuzzy neural networks approaches is more than 90%. The fuzzy neural networks...