In recent years, there are some major changes in the way content is being distributed over the network. The content distribution techniques have recently started to embrace peer-to-peer (P2P) systems as an alternative to the traditional client-server architecture. P2P systemsthat are based on the BitTorrent protocol uses end-users’ resources to provide a cost effective distribution of bandwidth...

In this extended abstract, I present an overview of IVHS-related research recently initiated at the University of Michigan Artificial Intelligence Laboratory. Our ultimate goals in this effort are to further the technology underlying decision support for both individual drivers and traffic management centers within a variety of decision contexts, including routing, scheduling, and control of si...

Reliable prediction of traffic loads is essential for bridge planning and design. In the study, an improved unbiased Grey Markov forecasting model is applied to predict traffic loads on highway bridges. The comparison between the predicted results and existing practical measurements indicates that high accuracy can be achieved by using the developed model for bridge load prediction. The develop...

In this extended abstract, I present an overview of IVHS-related research recently initiated at the University of Michigan Artificial Intelligence Laboratory. Our ultimate goals in this effort are to further the technology underlying decision support for both individual drivers and traffic management centers within a variety of decision contexts, including routing, scheduling, and control of si...

In the world of transport management, the term ‘anticipation’ is gradually replacing ‘reaction’. Indeed, the ability to forecast traffic evolution in a network should ideally form the basis for many traffic management strategies and multiple ITS applications. Real-time prediction capabilities are therefore becoming a concrete need for the management of networks, both for urban and interurban en...

Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the artificial neural networks and genetic algorithms. The artificial neural networks and genetic algorithms to be combine in the prediction model. This method is used to predict traffic volume in a road, the accuracy of fore...

Increasing mobility and rising traffic demands cause serious problems in urban road networks. Approaches to reduce the negative impacts of traffic include an improved control of traffic lights and the introduction of dynamic traffic guidance systems that take current conditions into account. One solution for the former aspect is Organic Traffic Control (OTC) which provides a self-organized and ...

We address the problem of learning over multiple inter-dependent temporal sequences where dependencies are modeled by a graph. We propose a model that is able to simultaneously fill in missing values and predict future ones. This approach is based on representation learning techniques, where temporal data are represented in a latent vector space. Information completion (missing values) and pred...

Maintenance works on high-ways usually require installation of bottlenecks that disturb traffic. The article presents a new mathematical model for analysis and forecasting of traffic jam evolution in front of a bottleneck. The model is comprised of two partial differential equations for the mean velocity and density of cars. The first equation describes relaxation of velocity to its equilibrium...