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FD Simulator test parameters and results from NYC case study

<p>This repository gives the dataset for Fleet-Demand platform (FD platform). The full FD platform code description can be found <a href="https://github.com/BUILTNYU/Fleet-Demand-Platform/tree/main">here</a>.</p> <p>The files are under two categories:</p> <p>1. MATSim input file:</p> <p>&nbsp; &nbsp; &quot;config-with-mode-vehicles-drt-tele_2_income.xml&quot;: configuration file defining input file names and parameters for MATSim in the initial cycle of FD platform cycle (cycle 0).</p> <p>&nbsp; &nbsp; &quot;config-with-mode-vehicles-drt-tele_2_income_updated.xml&quot;: configuration file defining input file names and parameters for MATSim in FD platform cycles after the initial cycle.</p> <p>&nbsp; &nbsp; &quot;population_large_two_drt_added.xml&quot;: initial trip plan containing 35000 agents with initially assigned ride-pooling services (&quot;drt_1&quot; and &quot;drt_2&quot;). The trip plan was extracted from the MATSim-NYC population file, which can be found here.</p> <p>&nbsp; &nbsp; &quot;new_subpopulation_income_onefifth.xml&quot;: subpopulation file assigning agent to either &quot;Low_Income&quot; or &quot;Not_Low_Income&quot;. The value of time (VOT) of the two groups are defined in the configuration file</p> <p>&nbsp; &nbsp; &quot;separated-network_shrunk_clean.xml&quot;: Network file containing road and transit network of Manhatta, Brooklyn, and Queens. This network file is extracted from the&nbsp;MATSim-NYC network file.</p> <p>2. DVRPT input file</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_nodes_update.csv&quot;: File defining the nodes that constructs the ride-pooling service area.</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_network_update_new_1_27_max.csv&quot;: File defining the shortest path time cost for all node pairs.</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_stops.csv&quot;:&nbsp; File defining the stops of the ride-pooling service.</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_links.csv&quot;: File defining the links of the ride-pooling service area.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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