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Big Data are having a great impact on the cities morphology and urban planning; actually, big data are used, for example, to predict the needs of the public transport system, by targeting investment and mobility policies within the main metropolis. Based on this assumption, this paper presents a Decision Support System (DSS) framework aimed at proposing travel strategies alternative to car use by...
The problem to rectify and optimize distance measures from satellites in GNSS devices has been thoroughly explored in many researches. Instead there is not much information on available procedures to replicate the observed errors. The replication of GNSS errors can, in fact, be useful in many traffic simulation scenarios to test for ITS performances. The purpose of this article is to present cases...
The time an offspring should live and remain into the population in order to evolve and mature is a crucial factor of the performance of population-based algorithms both in the search for global optima, and in escaping from the local optima. Offsprings lifespan influences a correct exploration of the search space, and a fruitful exploiting of the knowledge learned. In this research work we present...
This paper presents a study of bus services operational performance through the analysis at a stop level of Automatic Vehicle Location (AVL) data, using the capability of Geographic Information Systems (GIS) to analyze spatial and temporal patterns of change. In particular, the analysis is focused on the study of the reliability of public transport services that connect the most important urban centers...
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