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DRSP-Sim: A Simulator for Ride-sharing with Pooling: Joint Matching,Pricing, Route Planning, and Dispatching

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DataCite Commons2025-12-18 更新2025-04-16 收录
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https://purr.purdue.edu/publications/3843/1
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资源简介:
<p>This is NYC taxi trip records used as the real-world dataset for the comprehensive ride-sharing simulation available at: https://github.itap.purdue.edu/Clan-labs/Dynamic_Matching_RS. We use 2016-05 trips for training and 2016-06 trips for evaluation.</p> <p>To run this simulator, the user can choose to either go through the pre-processing steps explained in README in the above Github link (also available under "Supporting Docs" here) to generate the data under the title "Data Generation", or just fetch the pre-processed files directly from here, load them into a directory, and set the DATA_DIR variable in config/settings.py.</p> <p>Description of the provided files:</p> <p>1. The "osrm" folder (available in the Github repository) contains the OSM data downloaded from <a href="https://www.google.com/search?client=safari&rls=en&q=wget+https://download.bbbike.org/osm/bbbike/NewYork/NewYork.osm.pbf+-P+osrm&ie=UTF-8&oe=UTF-8">https://download.bbbike.org/osm/bbbike/NewYork/NewYork.osm.pbf</a> and preprocessed using the OSRM backend engine to extract the road network and geometry. (Data Generation steps #1 & #2). This is, then, used if the user decides to use the OSRM engine for real-time routing.</p> <p>2.  <strong>db.sqlite3</strong> is the trip database used for simulation after pre-processing the trip records downloaded from <code>https://s3.amazonaws.com/nyc-tlc/trip+data/. </code>The columns in this database include ['request_datetime', 'trip_time', 'origin_lon', 'origin_lat', 'destination_lon', 'destination_lat', 'fare']. (Data Generation steps #3 through #7). In addition, (in Data Generation step #8), prepares statistical demand profile using the training dataset and stores that in this database as well.</p> <p>3. <strong>routes.pkl</strong> and <strong>tt_map.npy</strong> contains the pre-computed trajectories and trip times respectively. <strong>reachable_map.npy</strong> contains the discretized map of NewYork city according to the maps obtained from OSRM. These are pre-computed and generated using the OSRM engine to be used in real-time during simulation as the Fast Routing option provided to the user.  (Data Generation steps #9).</p>
提供机构:
Purdue University Research Repository
创建时间:
2021-08-02
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