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by steve_gh
2715 days ago
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Interesting application of clustering. My group in the UK (Amey Strategic Consulting: https://www.amey.co.uk/amey-consulting/services/strategic-co... ) have been doing very similar things for a while now to optimise utilities maintenance, for example optimizing the number and position of maintenance depots to enable a utilities company to undertake repairs most efficiently. I'm UK based, and not that familiar with the Bay Area - but I guess there are a whole bunch of follow-up questions. Most pertinently - what would this change. Suppose (for example) you created a North Bay Transit Authority - how would a common ticketing policy affect commuting patterns. Is the issue the cost and inconvenience of multiple tickets, or the disjoint nature of current services? |
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https://en.wikipedia.org/wiki/Transportation_forecasting#Fou...
My first job was to estimate trip generation models (the first tier) using simultaneous-equations time-series models in Eviews; a transportation engineer with some experience doing surveys (i.e. coordinating teams of people with clipboards) worked on the mode choice. We had additionally some greyheads who had the Matlab codes for trip distribution and route assignment.
Realistically some machine learning type classification could really help in mode choice, particularly if raw data (like turnstile pushes) is available. Trip generation, like most microeconometrics with time-series, is something of a dark art.
Ideally we would all be doing agent-based simulation by now with super-disaggregate data like Waze has, but I haven't seen complex systems simulation really "arrive" for real problems. It'd be fun to train reinforcement learners on them too :)