reho.model.preprocessing.mobility_generator

Processes data for parameters related to the Mobility Layer.

Functions

compute_iterative_parameters(reho_models, ...)
generate_mobility_parameters(cluster, ...)	This function initializes (almost) all the necessary parameters to run the mobility sector in REHO.
generate_transport_units_sets(transportunits)	Creates the sets transport_Units_MD and transport_Units_cars that are subsets of the available transport units, respectively for soft mobility and cars.
get_EV_charging(units, timestamp, ...)	Formatting of the parameter EV_charging_profile[u,p,t].
get_EV_plugged_out(units, timestamp, ...)	Formatting of the parameter EV_plugged_out[u,p,t].
get_Ebike_charging(units, timestamp, ...)	Formatting of the parameter EBike_charging_profile[u,p,t].
get_activity_profile(units, timestamp, ...)	Formatting of the parameter EV_activity[a,u,p,t].
get_daily_profile(profiles_input, timestamp, ...)	Formatting of the parameters Daily_Profile[u,p,t], used for example for the Bikes and ICE transport units.
get_max_share(modal_split, modes, transportunits)	Formatting of the parameters max_share[u,dist] and max_share_modes[u,dist].
get_min_share(modal_split, modes, transportunits)	Formatting of the parameters min_share[u,dist] and min_share_modes[u,dist].
get_mobility_demand(profiles_input, ...)	Formatting of the parameters Domestic_energy_pkm and Domestic_energy
get_mode_speed(units, mode_speed_custom)	Formatting of the parameter Mode_speed[u].
linear_split_bin_table(df, col[, ...])	Cuts off a discrete bin distribution data serie to the desired bounds.
mobility_demand_from_WP1data(pkm_demand[, ...])	This functions computes parameters related to mobility from data tables provided by WP1 (OFS data).
rho_param(ext_districts, rho[, activities])	This function is used in the iterative scenario to iteratively calculate multiple districts with EVs being able to charge at the different districts.