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Future Transportation

Edited by
July 2022
486 pages
  • ISBN978-3-0365-4857-9 (Hardback)
  • ISBN978-3-0365-4858-6 (PDF)
https://doi.org/10.3390/books978-3-0365-4858-6
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This book is a reprint of the Special Issue Future Transportation that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
ANOVA-test; clickbait news; feature selection; social network; taxi demand; forecasting; multi-source data; generative adversarial networks; container ship traffic flow; volatility; generalized Hurst exponents; long-range dependence; multifractality; city buses; semi-Markov processes; preventive maintenance; corrective maintenance; age-replacement; minimal repair; perfect repair; profit per time unit; availability; railway transport; passengers; sustainable travel; ARTIW method; IHAMCI method; MCDM; facial recognition technology; e-biker; red-light running behavior; privacy invasion; content replacement; content placement; content-centric networking; cache networks; immaturity; stretch reduction; mineral exploration; natural gamma-ray spectrometry; ASTER; fuzzy logic modelling; Kelâat M’Gouna inlier; Eastern Anti-Atlas; Morocco; collision avoidance; fuzzy logic; on board driver assistance; semi-autonomous; multi-factor; VANET; COVID-19; bike sharing system; urban mobility; regression analysis; green transport; continuous descent approach; optimized profile descent; climate change; terminal maneuvering area; environmental impact; applied queueing theory; air traffic management; air transportation sustainability; electric vehicle powertrain; multispeed discrete transmission; continuously variable transmission; two-motors configuration; four-motors configuration; border crossings; sentiments; personal vehicles; pedestrians; US–Mexico; Google Trends; digitalization; BPM; business process model; artificial intelligence; big data; virtual reality; internet of things; cloud computing; digital security; additive engineering; smart cities; Internet of Things (IoT); strategy; monitoring; transport equity; distributional analysis; accessibility; space-time model; transport policy; OFDM; LDACS; aeronautical communication; impulse noise; pulse blanking; ROAD statistics; location planning; vehicle scheduling; electric buses; charging stations; partial charging; human-machine interaction; scenarios; use cases; remote operation; highly automated vehicles; user-centered design; remote assistance; remote driving; bike-sharing system (BSS); mode choice; stated choice experiment; multinomial logit model; transport demand model; technological transitions; automobiles; system dynamics; dynamical systems; bifurcations; free space optics; FSO; ultra-high-speed train; evacuated tube transportation