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Routing and Infrastructure simulation for Shared Electric vehicles (RISE) is an agent-based model that efficiently routes vehicles in an electric fleet to serve demand and charge. It can be used to estimate the minimum requirements for charging infrastructure, battery range, and fleet size given demand for trips, as well as compare the cost of e…
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gb4uer/RISE
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city_init.R: script for pre-processing taxi data, including downloading relocation data from Google Maps. RISE bus: gtfs_info.R: script for scraping feed information (including download links) from transitfeeds.com rise_bus_init.R: script for converting GTFS data into form usable by RISE and extrapolating relocation matrix from 2,000 data points downloaded from Google Maps API. rise_bus_sim.R: simulation adjusted for use with bus systems. actransit_init.RData: processed data from AC transit in Oakland to be used as model inputs. feed.zip: GTFS feed for AC transit NYC taxi sim: cost model clean.R: model for estimating cost of simulation results epacycle_nyc.csv: EPA driving cycle for NYC, used in cost model clean.R taxi sim.R: RISE simulation script for taxi fleets example inputs for taxi sim.R available on request.
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Routing and Infrastructure simulation for Shared Electric vehicles (RISE) is an agent-based model that efficiently routes vehicles in an electric fleet to serve demand and charge. It can be used to estimate the minimum requirements for charging infrastructure, battery range, and fleet size given demand for trips, as well as compare the cost of e…
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