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Proceedings of

5th International Conference on Advances in Social, Economics and Management SEM 2017

"ARTIFICIAL INTELLIGENCE APPLIED TO THE REDUCTION OF ENVIRONMENTAL IMPACT IN THE CONSTRUCTION OF HIGH-SPEED RAIL INFRASTRUCTURES"

ALBERTO MORAL FRANCISCO CAMPO GREGORIO SAINZ-PALMERO JORGE RODRIGUEZ JOSE M. BENITEZ LAURA PABLOS MANUEL PARRA MARTA GALENDE RUBEN CARNERERO
DOI
10.15224/978-1-63248-132-0-41
Pages
52 - 53
Authors
9
ISBN
978-1-63248-133-7

Abstract: “The development of a society is closely related to the quantity and quality of its infrastructures. Investment in infrastructures such as transport, energy, telecommunications are vital to the development of a country. It is estimated that global demand for mobility and transport infrastructure for 2050 will be raised by 60% compared to 2010 data [1] . This means a very significant increase in the number of kilometers of roads and railways to build in the coming years. The report “ Green House Gases EU Tran sport Emissions: Routes to 2050 ” [2] indicated that 28% of total emissions associated with rail transport are due to infrastructure. Nearly half of these emissions are caused during the infrastructure construction process. Most of these emissions are mainl y due to material production , transport and earthmoving. The construction of sustainable transport infrastructures is a growing priority in the policies of many countries around the world, including aspects such as social, envir”

Keywords: intelligent analisys, carbon footprints, water footprints, high-speed train, jobs scheduling, multi-objective, environmental impact

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