Proceedings of
5th International Conference on Advances in Civil, Structural and Mechanical Engineering CSM 2017
"ARTIFICIAL INTELLIGENCE APPLIED TO THE REDUCTION OF ENVIRONMENTAL IMPACT IN THE CONSTRUCTION OF HIGH-SPEED RAIL INFRASTRUCTURES"
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