4 resultados para Off-road

em Universidad Politécnica de Madrid


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Because of the high number of crashes occurring on highways, it is necessary to intensify the search for new tools that help in understanding their causes. This research explores the use of a geographic information system (GIS) for an integrated analysis, taking into account two accident-related factors: design consistency (DC) (based on vehicle speed) and available sight distance (ASD) (based on visibility). Both factors require specific GIS software add-ins, which are explained. Digital terrain models (DTMs), vehicle paths, road centerlines, a speed prediction model, and crash data are integrated in the GIS. The usefulness of this approach has been assessed through a study of more than 500 crashes. From a regularly spaced grid, the terrain (bare ground) has been modeled through a triangulated irregular network (TIN). The length of the roads analyzed is greater than 100 km. Results have shown that DC and ASD could be related to crashes in approximately 4% of cases. In order to illustrate the potential of GIS, two crashes are fully analyzed: a car rollover after running off road on the right side and a rear-end collision of two moving vehicles. Although this procedure uses two software add-ins that are available only for ArcGIS, the study gives a practical demonstration of the suitability of GIS for conducting integrated studies of road safety.

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Emission inventories are databases that aim to describe the polluting activities that occur across a certain geographic domain. According to the spatial scale, the availability of information will vary as well as the applied assumptions, which will strongly influence its quality, accuracy and representativeness. This study compared and contrasted two emission inventories describing the Greater Madrid Region (GMR) under an air quality simulation approach. The chosen inventories were the National Emissions Inventory (NEI) and the Regional Emissions Inventory of the Greater Madrid Region (REI). Both of them were used to feed air quality simulations with the CMAQ modelling system, and the results were compared with observations from the air quality monitoring network in the modelled domain. Through the application of statistical tools, the analysis of emissions at cell level and cell – expansion procedures, it was observed that the National Inventory showed better results for describing on – road traffic activities and agriculture, SNAP07 and SNAP10. The accurate description of activities, the good characterization of the vehicle fleet and the correct use of traffic emission factors were the main causes of such a good correlation. On the other hand, the Regional Inventory showed better descriptions for non – industrial combustion (SNAP02) and industrial activities (SNAP03). It incorporated realistic emission factors, a reasonable fuel mix and it drew upon local information sources to describe these activities, while NEI relied on surrogation and national datasets which leaded to a poorer representation. Off – road transportation (SNAP08) was similarly described by both inventories, while the rest of the SNAP activities showed a marginal contribution to the overall emissions.

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El LPF_TAGRALIA es un grupo de investigación reconocido de la UPM que trabaja en diversos ámbitos de la Ingeniería Agroforestal y de Biosistemas, entre los que se encuentra el análisis de emisiones de vehículos agrícolas, y el análisis de la calidad y la eficiencia energética en el transporte a larga distancia de productos perecederos, colaborando asimismo con una variedad de grupos y centros de investigación nacionales e internacionales. El primero de estos temas: análisis de emisiones de vehículos agrícolas, es objeto de estudio en el LPF_TAGRALIA desde hace aproximadamente diez años, cuando se materializa y cobra relevancia la aplicación del standard TIER de la agencia de protección ambiental americana (EPA) cuyo disparo de salida tuvo lugar en 1996 con la publicación del TIER I. La adopción en USA y Europa de este standard que regula las emisiones de CO, óxidos de Nitrógeno y 2 partículas de materia de diversa naturaleza (PM) se está produciendo de manera paulatina en función de la potencia de matriculación de los tractores (vehículos de fuera de carretera, off-road vehicles). En la actualidad el standard TIER IV ha de ser verificado mayoritariamente por los tractores, para lo cuál existen dos estrategias básicas: la recirculación de gases de escape (EGR), y la reducción catalítica selectiva (SCR). La verificación del funcionamiento en campo de estas estrategias ha sido materia de análisis y discusión por parte del LPF_TAGRALIA que ejerce desde hace 4 años la labor de Responsable de Ensayos de Campo para el suplemento Maq-Vida Rural, una de las publicaciones más reconocidas por los técnicos que desarrollan su labor en el ámbito de la Ingeniería Rural; los diversos documentos relacionados pueden consultarse en el servicio de acceso abierto también denominado Archivo Digital de la UPM (http://oa.upm.es/).

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The city of Madrid keeps not meeting the GHG and air pollutant limits set by the European legislation. A broad range of strategies have being taken into account to reduce both types of emissions; however traffic management meas ures are usually consigned to the sidelines. In 2004, Madrid City Council launched a plan to re-design its inner ring-road supported by a socioeconomic study that evaluated the environmental and operational benefits of the project. For safety reasons the planned speed limit for the tunnel section was finally reduced from 90km/h to 70km/h. Using a Macroscopic Traffic Model and the European Air Pollutant and Emissions Inventory Guidebook (EMEP/EEA), this paper examines the environmental and traffic performance consequences of this decision. Results support the thesis that reduced speed limits leads to GHG and air pollution reductions in the area affected by the measure without substantially altering traffic performance. The implementation of the new speed limit policy brings about a 15% and 16% reduction in both CO2 and NOx emissions respectively. Emissions’ reduction during off-peak hours is larger than during peak hours.