About: Road map is a research topic. Over the lifetime, 2408 publications have been published within this topic receiving 26797 citations. The topic is also known as: route map & roadmap.
TL;DR: A novel, principled map matching algorithm that uses a Hidden Markov Model (HMM) to find the most likely road route represented by a time-stamped sequence of latitude/longitude pairs, which elegantly accounts for measurement noise and the layout of the road network.
Abstract: The problem of matching measured latitude/longitude points to roads is becoming increasingly important This paper describes a novel, principled map matching algorithm that uses a Hidden Markov Model (HMM) to find the most likely road route represented by a time-stamped sequence of latitude/longitude pairs The HMM elegantly accounts for measurement noise and the layout of the road network We test our algorithm on ground truth data collected from a GPS receiver in a vehicle Our test shows how the algorithm breaks down as the sampling rate of the GPS is reduced We also test the effect of increasing amounts of additional measurement noise in order to assess how well our algorithm could deal with the inaccuracies of other location measurement systems, such as those based on WiFi and cell tower multilateration We provide our GPS data and road network representation as a standard test set for other researchers to use in their map matching work
TL;DR: In this paper, a model is proposed how local sustainability indicators can be developed and how they can help to reduce the complexity of sustainability and to concretize a program for the Local Agenda 21.
TL;DR: Policy frameworks for maternal newborn and child health in Africa represent a great advance but they are only the first step on the road to lives saved through increased coverage of essential interventions, according to the African Union.
Abstract: In recent years the policy focus has increased for maternal newborn and child health (MNCH) in Africa The African Union now has three regional strategies in various stages of development: Road Map for reduction of maternal and newborn mortality (2004); Child Survival Framework (2005); Maputo Sexual and Reproductive Health and Rights Plan of Action (2006) Each of these policy frameworks allow for national government adaptation and implementation in country with support from partners under the principles of the Paris declaration on aid effectiveness - "One plan One coordinating mechanism One monitoring and evaluation mechanism" Already 35 countries have started the process of a national Road Map which was initiated through the MNCH Task Force in 2004 These policy frameworks represent a great advance but they are only the first step on the road to lives saved through increased coverage of essential interventions The time is short - there are only nine years left before the 2015 target for the Millennium Development Goals (MDGs) Africa can and must accelerate progress (excerpt)
TL;DR: The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams to generate real- time crisis maps.
Abstract: The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams. The authors use statistical analysis to generate real-time crisis maps. Geoparsing results are benchmarked against existing published work and evaluated across multilingual datasets. Two case studies compare five-day tweet crisis maps to official post-event impact assessment from the US National Geospatial Agency (NGA), compiled from verified satellite and aerial imagery sources.
TL;DR: This paper presents a method for automatically converting raw GPS traces from everyday vehicles into a routable road network using a novel aggregation technique, and shows how this network can be used to plan reasonable driving routes, much like consumer-oriented mapping Web sites.
Abstract: This paper presents a method for automatically converting raw GPS traces from everyday vehicles into a routable road network. The method begins by smoothing raw GPS traces using a novel aggregation technique. This technique pulls together traces that belong on the same road in response to simulated potential energy wells created around each trace. After the traces are moved in response to the potential fields, they tend to coalesce into smooth paths. To help adjust the parameters of the constituent potential fields, we present a theoretical analysis of the behavior of our algorithm on a few different road configurations. With the resulting smooth traces, we apply a custom clustering algorithm to create a graph of nodes and edges representing the road network. We show how this network can be used to plan reasonable driving routes, much like consumer-oriented mapping Web sites. We demonstrate our algorithms using real GPS data collected on public roads, and we evaluate the effectiveness of our approach on public roads, and we evaluate the effectiveness of our approach by comparing the route planning results suggested by our generated graph to a commercial route planner.