There are two words that I never appreciated before coming to Alaska — ‘‘remote” and “wilderness.” The main population centre, Anchorage, is rather deceptive. It appears to be just another American city, with its Walmarts, McDonalds, strip malls and grid of straight roads. Yet, it is a little island of the familiar, surrounded by an unimaginably vast wilderness where, as Alaskans like to remind...

Today’s optimal path strategies are the more competitive the lower memory space and performance time they need. That is why the concept of hierarchical maps has been introduced to delegate the main part of long distance path determination to maps with levels as high as possible (larger regions ⇔ roads of higher levels). The size of the corresponding high level road graphs remains very tractable...

This article introduces a high-level system using belief functions for exchanging and managing imperfect information about events on the road in vehicular ad-hoc networks. The main purpose of this application is to provide the most reliable information for the driver from multiple messages received informing the driver about events on the roads. This system and some variants are tested using a ...

This conference paper presents an accident study investigating where fatal alcoholand drugrelated accidents occur with respect to traffic environment (i.e., urban versus rural), road type, speed limit, annual average daily traffic flow, and road category. The study uses data from indepth studies of fatal accidents and from the Swedish National Road Database. Accident data from the 2006–2009 per...

Poorly maintained roads are a fact of life in most developing countries; it is certainly the case in Sri Lanka. The lack of funding to maintain the road surfaces is a main reason for the dilapidated condition of roads in these countries, but it is not the only reason. The absence of an effective monitoring system is one reason for this problem. A monitoring system can help to take remedial acti...

This paper presents an original unsupervised framework to identify regions belonging to buildings and roads from monocular very high resolution (VHR) satellite images. The proposed framework consists of three main stages. In the first stage, we extract information only related to building regions using shadow evidence and probabilistic fuzzy landscapes. Firstly, the shadow areas cast by buildin...

We adapt the Multi-lane Spatial Logic MLSL, introduced in [1] for proving the safety (collision freedom) of traffic manoeuvres on multi-lane motorways, where all cars drive in one direction, to the setting of country roads with two-way traffic. To this end, we need suitably refined sensor functions and length measurement in MLSL. Our main contribution is to show that also here we can separate t...

Excess delivery of land-based sediments is an important control on the overall condition of nearshore coral reef ecosystems. Unpaved roads have been identified as a dominant sediment source on St John in the US Virgin Islands. An improved understanding of road sediment production rates is needed to guide future development and erosion control efforts. The main objectives of this study were to: ...

Roads, buildings and bridges are the main structural features obtained from satellite images. Detection of clouds and shadows supports the extraction of these features. Different algorithms are available for the extraction of these features, depending on the availability of remotely sensed data. In this paper, a comparative study is done for different algorithms using different types of data. I...

Spontaneous collaboration occurs abundantly among people on the roads. We account for the outcome of three research projects and the experience of designing the applications: Placememo, Hocman and SoundPryer. They all support various types of spontaneous mobile collaborative road use activities. We emphasize the impact of setting when developing applications intended for this scope. The main is...