In this report, we study information propagation via inter-vehicle communication along two parallel roads. By identifying an inherent Bernoulli process, we are able to derive the mean and variance of propagation distance. A road separation distance of times the transmission range distinguishes two cases for approximating the success probability in the Bernoulli process. In addition, our results...

This paper presents a method for road extraction from lidar data based on SVM classification. The lidar data are used exclusively to evaluate the potential in the road extraction process. First, the SVM algorithm is used to classify the lidar data into five classes: road, tree, building, grassland, and cement. Then, some misclassified pixels in the road class is removed using the road values in...

This paper presents the research results on the integration approach using a biologically inspired algorithm (LEGION) and a geometrically-inspired method (GAC) for target extraction from multiple-source remote-sensing imageries, specifically EO-1 Hyperion hyperspectral (30-meter resolution), and IKONOS multispectral (4-meter resolution) images. An automatic road-extraction algorithm based on LE...

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OBJECTIVE Females are substantially less likely than males to cycle for transport in countries with low bicycle transport mode share. We investigated whether female commuter cyclists were more likely to use bicycle routes that provide separation from motor vehicle traffic. METHODS Census of cyclists observed at 15 locations (including off-road bicycle paths, on-road lanes and roads with no bi...

contrary to the past approaches, as the transportation speed and the number of vehicles have increased, nowadays, the major roads do not go through the cities and are laid out on the brink with a particular distance instead and linked with the city’s network through a set of connecting roads instead. construction of these connecting roads can have diverse effects on economic, social and cultura...

The present study seeks to understand the determinants of land agricultural suitability in Malta before heavy mechanization. A GIS-based Logistic Regression model is built on the basis of the data from mid-1800s cadastral maps (cabreo). This is the first time that such data are being used for the purpose of building a predictive model. The maps record the agricultural quality of parcels (rangin...