Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial]

Autor:	Joshue Perez Rastelli, Javier Del Ser, Javier J. Sánchez Medina, Xin-She Yang, Eneko Osaba, Eleni I. Vlahogianni, Antonio D. Masegosa
Rok vydání:	2020
Předmět:	Government Technological change business.industry Mechanical Engineering Post-industrial society Environmental economics Natural resource Computer Science Applications Information and Communications Technology Sustainable management Public transport Automotive Engineering Business Social capital
Zdroj:	IEEE Intelligent Transportation Systems Magazine. 12:6-9
ISSN:	1941-1197 1939-1390
DOI:	10.1109/mits.2020.3017033
Popis:	The articles in this special section focus on data driven optimization for transportation and smart mobility applications. We live in an era of major societal and technological changes. Transportation de-carbonization and postindustrial demographic trends, such as massive migrations and an aging society, generate new challenges for cities, making the efficient and sustainable management of services and resources more necessary than ever. Cities must evolve, transform, and become smart to cope with these realities. According to the literature, a city can be referred to as smart when investments in human and social capital and traditional (transportation) and modern [information and communications technology (ICT)] communication infrastructure fuel sustainable economic growth and high quality of life, with a wise management of natural resources, through participatory government.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c95901e8b66cc932e88dda540ce1323c https://doi.org/10.1109/mits.2020.3017033 Zobrazit plný text záznamu