v1 NOT WORKING YET

Manifest.toml

+# This file is machine-generated - editing it directly is not advised
+
+[[Base64]]
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+
+[[CSV]]
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+[[LinearAlgebra]]
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+[[Unicode]]
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Project.toml

+[deps]
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

initialize.jl

+export data_functions, save_path, getValues
+
+include("../RidePooling/src/RidePooling.jl")
+RP = RidePooling
+
+# Calculate Route Matrix for Map
+#map=(:star_grid_map,(10,10))
+map_specs=(:grid_highway_map,(4,20,(23,58),2.0))
+#map_specs=(:star_grid_map,(12,12))
+#map_specs=(:grid_map,(8,8))
+#map_specs=(:osm,"/project.dcf/poss/datasets/RidePooling/line_no7_customdict/map/")
+#map_specs=(:osm,"../maps/example_map/")
+mymap = RP.get_map(map_specs)
+RM = RP.calculate_route_matrix(mymap);
+
+
+data_type_functions = Dict(
+    :served_percentage => RP.served_percentage,
+    :driven_distance => RP.driven_distance,
+    :requested_distance => RP.requested_distance,
+    :mean_relative_delay => RP.mean_relative_delay,
+    :mean_occupancy => RP.mean_occupancy,
+)
+
+
+save_path = "" #TODO What savepath?
+
+function getValue(index, xmin, xmax, xlen, ymin, ymax, ylen)
+    xstep = (xmax-xmin)/xlen
+    ystep = (ymax-ymin)/ylen
+    xs = xmin:xstep:xmax
+    ys = ymin:ystep:ymax
+
+    x = xs[index%xlen + 1]
+    y = ys[index - index%xlen + 1]
+    return x,y
+end
+
+function simulation(path;         # Name of the File where the Model should be saved
+        request_type::Symbol = :now,   # one of (:now, :earliest_pickup, :latest_dropoff, :random)
+        ν = 1/60,                #Request frequency
+        N_busses = 3,                  # Number of N_busses
+        time_step = 0.0,
+        rejection_criterion=((:any_relative_detour,max_detour)),
+        t_max_to_early::Float64,
+        dt_pickup, #Has to be iterable
+        dt_dropoff, # Has to be itarable
+        speed_dict=Dict(1=>3.6, 2=>70.0, 3=>50.0, 4=>50.0, 5=>50.0, 6=>30.0, 7=>30.0, 8=>30.0),
+        map_specs=(:star_grid_map,(12,12)),
+        requested=220,
+        served=200,
+        cost=:trajectory_length)
+    route_matrix = get_route_matrix("./");
+
+    #Make Model
+    model=RP.get_model(;\
+        N_bus=N_busses,   #number of buses
+        ν=\nu,    #request frequency [1/s] - default 1 per minute
+        map=mymap,   #OSM map
+        route_matrix=rout_matrix,
+        time_step=0.0
+        subspaces=:all_edges,  #pregenerated subspace tuple. if ==:all_nodes, we draw from the set of all nodes. default: area uniform within map's bounds.
+        rejection_criterion=rejection_criterion,
+        routing=:lookup,
+        speed_dict=speed_dict,
+        cost=cost,
+        request_type= request_type,
+        t_max_wait = t_max_wait,
+        t_max_to_early = t_max_to_early,
+    );
+    RP.run!(model;requested=requested, served=served)
+    data = Dict()
+    for (name, func) in data_functions
+        data[name] = [func(model),]
+    end
+
+    # Save the calculated Data
+    data = DataFrame(data)
+    CSV.write(path * "data.csv") #QUESTION what savepath
+
+    #Save the model for possible later reference
+    RP.savemodel(path* "final.model",model;route_matrix=false) #QUESTION What savepath
+end

put_together.jl

+
+
+
+for index in indxes
+    #TODO put all the generated CSV Files together into one big file which is then saved to the correct location
+end
+
+
+#TODO put all the generated models in an archive file and save it to the archiving location
+
+#TODO make Plots from the CSV file

run_1d.sh

+#!/bin/bash
+
+#$ -S /bin/bash
+#$ -cwd
+#$ -q titan.q
+#$ -j yes
+#$ -N myBunchOfSimulations
+#$ -t 1-2082
+
+/usr/dcf/julia-1.5.2/bin/julia scripts/myJuliaScript.jl $SGE_TASK_ID

sim.jl

+using Pkg
+Pkg.activate(".")
+Pkg.instantiate()   #there may be an error here concerning PyCall. The dependencies assume Python to be installed on your system, with package 'matplotlib' installed.
+                    #Either just run 'conda install -c conda-forge matplotlib' in your system shell, or follow instructions below (after running this cell and getting an error) to solve everything from within Julia.
+
+using RidePooling
+using DataFrames
+using CSV
+include("./initialize.jl")
+data_functions = initialize.data_functions
+simulation = initialize.simulation
+get_value = initialize.get_value
+
+
+
+
+
+
+
+
+
+index=eval(Meta.parse(ARGS[1]))
+
+
+
+t0 = 60
+x, y = getValue(index, 0, 100, 2, 1/t0, 20/t0, 2)
+
+data = simulation("results/data/$(index)/", request_type=:earliest_pickup, dt_earliest_pickup = x, ν=y)