Advanced Impact Integration Platform for Cooperative Road Use

Abstract

In order to improve networks efficiency, a considerable number of studies has been addressing the potential of eco-friendly assignment solutions as alternative approaches to reduce emissions and/or fuel use. So far the majority of studies generally assumes that the most eco-friendly solutions are the ones that minimize the absolute amount of emissions produced along a certain trip. In this work a platform based on both empirical GPS data and microscopic simulation models of traffic, emissions, noise, and road safety was developed to examine in depth 4 routes of an origindestination pair over a Portuguese city. In addition to the integrated externalities assessment based on state of the art techniques, a novelty of this work was the preliminary inclusion of social criteria in defining sustainable assignment solutions. This paper provides new insights about sustainable traffic management issues and addresses multiple novel route choice indicators. Specifically we found that the relative variation of the individual costs and total pollution produced among 4 routes varies to a factor of 1.4 while the variation of the potentially exposed population ranges up to a factor of 10. The main results confirm the need to take into account real-time urban activity patterns in order to effectively implement sustainable traffic management measures.

Validation of Seasonal ARIMA Models on Road Traffic Noise Measurements

“…This univariate time series can be modelled, for instance, by a deterministic decomposition model, able to extend the forecast to many periods in the future. Such model typology has been widely adopted by authors for the study of acoustic noise [31][32][33][34][35], concentration of gaseous pollutants [36] and for the evolution of electricity consumption [37].…”

“…The authors gave a large contribution to transportation noise assessment and prediction (see for instance [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]). In the last years, particular care has been put on models that exploit the information contained in measurements at the receiver: these techniques include analytical models of time series.…”

Statistical and semi-dynamical road traffic noise models comparison with field measurements

“…FEM/BEM approaches are also present in literature (see for instance [14] and [15]), for evaluating noise production and reduction. RTNMs can be also used for traffic management purposes and for multi-criteria approaches, as described for instance in [16], [17] and [18].…”

Development of Seasonal ARIMA Models for Traffic Noise Forecasting

“…If a reliable forecast is available, it is possible to limit the overcoming of certain levels of pollution by mitigation measures, also acting on the sources, before physical agents can affect the population. The authors gave a large contribution to transportation noise assessment and prediction (see for instance [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]). …”