65
edits
Transportation: Difference between revisions
m
no edit summary
(→Societies and organizations: remove heading) |
mNo edit summary |
||
Line 1:
''This page is about the intersection of transportation and machine learning in the context of climate change mitigation and adaptation. For an overview of electricity systems as a whole, please see the [https://en.wikipedia.org/wiki/Transport Wikipedia page] on this topic.''[[File:Transport.png|thumb|A schematic of selected opportunities to reduce greenhouse emissions from transportation using machine learning. From "Tackling Climate Change with Machine Learning."<ref>{{Cite journal|last=|first=|date=|title=Tackling Climate Change with Machine Learning|url=|journal=|volume=|pages=|via=}}</ref>]]
Transportation systems form a complex web that is fundamental to an active and prosperous society. Globally, the transportation sector accounts for about a quarter of energy-related CO2 emissions. In contrast to the electricity sector, however, transportation has not made significant progress to lower its CO2 emissions and much of the sector is regarded as hard to decarbonize. This is because of the high energy density of fuels required for many types of vehicles, which constrains low-carbon alternatives, and because transport policies directly impact end-users and are thus more likely to be controversial.
| |||