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Dataset results
9 results for “matsim”
Code for MATSim-NYC project
<p>This file includes the code and parameters for the baseline MATSim-NYC model, network calibration, and other additional features. All the required input files are saved in the input folder. </p> <p>The synthetic population as well as the data dictionary are also incorporated. </p> <p> </p>
West Midlands Combined Area MATSim model
<p>An agent-based model of West Midlands Combined Area for 2022 composed of:</p> <ol> <li>a synthetic population of individuals and households with socio-demographic attributes and residential locations,</li> <li>a set of individuals' weekly schedules of activities,</li> <li>a WMCA environment model: road and public transport networks, public transport services, buildings and facilities.</li> </ol> <p>The model can be used as input for MATSim simulations.</p>
Behavioural Simulator Matsim Input Data
<p>Behavioural simulator requires 4 input data files. Each file contains the following information:</p> <p>1. Network.xml file contains road network information based on no of lanes, speed limits, vehicle access details derived from open street maps.</p> <p>2. Plan.xml file contains synthetic population along with activity-travel information. These activity-travel patterns are output generated from activity-based models. </p> <p>3. Schedules.xml file have information about public transport schedules with stops details, timetables etc drived from GTFS data</p> <p>4. Vehicels.xml file is comprised of Public Transport Fleet information e.g no of buses. </p>
Matsim Simulation Aggregated Results Hasselt
<p>This dataset contains aggregated results for the following scenarios based on Matsim simulations.</p> <p>1. Base scenario</p> <p>2. Car access restriction scenario (Policy 1)</p> <p>3. Increased in bus frequency scenario (Policy 2)</p>
Matsim Simulation Aggregated Results Bologna
<p>This dataset contains aggregated results for the following scenarios based on Matsim simulations.</p> <p>1. Base scenario</p> <p>2. Car access restriction scenario (Policy 1)</p> <p>3. Increased in bus frequency scenario (Policy 2)</p>
MatSim Dataset and benchmark for one-shot visual materials and textures recognition
<p><strong>The MatSim Dataset and benchmark</strong></p> <p>Synthetic dataset and real images benchmark for visual similarity recognition of materials and textures.</p> <p>MatSim: a synthetic dataset, a benchmark, and a method for computer vision-based recognition of similarities and transitions between materials and textures focusing on identifying any material under any conditions using one or a few examples (one-shot learning).</p> <p>Based on the paper: <a href="https://arxiv.org/pdf/2212.00648.pdf">One-shot recognition of any material anywhere using contrastive learning with physics-based rendering</a></p> <p> </p> <p><strong>Benchmark_MATSIM.zip: </strong>contain the benchmark made of real-world images as described in the paper</p> <p><strong>Dataset Generation Scripts.zip: </strong>Contain the Blender (4.1) Python scripts used for generating the dataset<br><br><a href="https://zenodo.org/record/7390166/files/MatSim_object_train_split_1.zip?download=1"><strong>MatSim_object_train_split_1,2,3....zip:</strong> </a>Contain a subset of the synthetics dataset for images of CGI images materials on random objects as described in the paper.</p> <p><strong>MatSimTrainObjectsNearField_.zip </strong>Contain train sets with near fieldlight sources</p> <p><strong><a href="https://zenodo.org/record/7390166/files/MatSim_Vessels_Train_1.zip?download=1">MatSim_Vessels_Train_1,2,3....zip </a></strong><a href="https://zenodo.org/api/files/020f90b2-7c41-44ad-86e3-69257884a569/MatSim_object_train_split_1.zip"><strong>:</strong> </a>Contain a subset of the synthetics dataset for images of CGI images materials inside transparent containers as described in the paper.<br><br><strong>*Note: these are subsets of the dataset; the full dataset can be found at:</strong><br><a href="https://e1.pcloud.link/publink/show?code=kZIiSQZCYU5M4HOvnQykql9jxF4h0KiC5MX">https://e1.pcloud.link/publink/show?code=kZIiSQZCYU5M4HOvnQykql9jxF4h0KiC5MX</a></p> <p>or<br><a href="https://icedrive.net/s/A13FWzZ8V2aP9T4ufGQ1N3fBZxDF">https://icedrive.net/s/A13FWzZ8V2aP9T4ufGQ1N3fBZxDF</a></p> <p> </p>
Matsim Simulation Results (disaggregated)
<p>Matsim Simulation results at disaggregate level are based on the following 2 datasets files for each city i.e. Bologna, Hasselt and Vantaa. The details are as follows:</p> <p>1. The plan.xml file contains the population together with activity-travel details containing trip route information. All these results are for the base cases. </p> <p>2. Config.xml file contains parameters/details required to run Matsim simulation.</p>
Matsim Simulation Aggregated Results Vantaa
<p>This dataset contains aggregated results for the following scenarios based on Matsim simulations.</p> <p>1. Base scenario</p> <p>2. Car access restriction scenario (Policy 1)</p> <p>3. Increased in bus frequency scenario (Policy 2)</p>
Code for MATSim-NYC project
<p>This file includes the code and parameters for the baseline MATSim-NYC model, network calibration, and other additional features. All the required input files are saved in the input folder. </p> <p>The synthetic population as well as the data dictionary are also incorporated. </p>
ScienceDex guides
Understand access before you commit
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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