Supporting public transportation network expansion: Difference between revisions
Content added Content deleted
No edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
{{Stub}} |
{{Stub}} |
||
''This page is about the applications of machine learning (ML) in the context of optimizing public transport. For an overview of public transport more generally, please see the [https://en.wikipedia.org/wiki/Public_transport Wikipedia page] on this topic.'' |
|||
In the absence of a well-ramified public transportation network (which can include trains, subways, buses and other modes), the populations in the areas poorly covered have little access to low-carbon transportation options. ML can be used in the planning and design process of new public transit lines. |
In the absence of a well-ramified public transportation network (which can include trains, subways, buses and other modes), the populations in the areas poorly covered have little access to low-carbon transportation options. ML can be used in the planning and design process of new public transit lines. |
||