With the increase in simulation of urban environments for the purpose of planning, modelling vehicular traffic has become important. Since empirical evidence on traffic flow is relatively sparse, models are being increasingly used for planning urban roads and environments. In this paper, a simple, explicit model is proposed to approximate the speed versus density of vehicular traffic flow. The ...

The approach presented in this paper uses a multi-agent system to model the selforganising properties of urban systems from a morphological point of view and aims at providing a tool to study urban growth. The proposed multi-agent system is a hierarchy of topographic agents (e.g. buildings, roads, rivers or urban blocks) that are built, modified, merged, split, restructured and destroyed over t...

Deep learning has become very popular as a method to predict short-term traffic volumes on road networks, especially highway networks, based on real-time observation. Various studies have confirmed that the performance of deep learning in predicting traffic volumes is better than that of previous machine learning models and statistical models. Although it is natural to consider that the traffic...

Private road associations (PRAs) manage two thirds of the road network in Sweden. They manage the roads at less cost and with better results than the Government road agencies. In fact, the PRAs perform so well that some urban municipalities request the associations to manage the municipal roads which connect to the private roads. There are also PRAs that are responsible for ferry services, for ...

An important aspect of area-wide traffic calming concepts is the integration of major urban roads, because 70 to 80 percent of all urban accidents occur on major roads. Traffic calming which is primarily based on the locational shift to such main thoroughfares is socially injust, because -in spite of all disturbances on those streets about one quarter of the urban population live there. Social ...

Landscape patterns are closely related to ecological processes. Different spatial scales and research methods may lead to different results. Therefore, it is crucial to choose suitable research methods when studying different landscape patterns and ecological processes. In the present study, the methods of source-sink landscape theory were applied to the interactions between urban landscape cha...

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...

Ahmad, Shaikh.M.S.C.E.,Purdue University, December 2014.Capacity-Related Driver Behavior on Modern Roundabouts Built on High-Speed Roads. Major Professor: Andrew Tarko. The objective of this thesis was to investigate the factors that affect capacity-related driver behavior on modern roundabouts built on high-speed roads. The capacity of roundabouts is strongly affected by the behavior of driver...

Classifying roads in remotely sensed imagery has been addressed by a number of research efforts. Detecting these features is important for a variety of endeavors such as agricultural assessment and urban planning. This study investigates the viability of using a pulse-coupled neural network to recognize roads in Landsat-4 Thematic Mapper multispectral imagery.