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Database of 3D rendered freeway driving scenarios

<p>The&nbsp;<code>videos.tar</code> file contains a set of 418 one-minute video clips depicting 128 driving scenarios on a Brazilian freeway. These clips were generated using the Vissim traffic simulation software and are encoded in MP4 format.</p> <p>The videos were created to support a survey on drivers' perceptions of freeway driving under a range of traffic and road conditions. Detailed information about the video creation process can be found in the following publications:</p> <ul> <li>Journal Article: "Using Traffic Simulation for Level of Service Traveller Perception Studies" (Promet - Traffic &amp; Transportation, doi:10.7307/ptt.v34i2.3965)</li> <li>PhD Dissertation: Fernando Piva's PhD dissertation (doi:10.11606/T.18.2022.tde-10012023-155328)</li> </ul> <p>Each video clip is named according to the following format:</p> <div> <div> <div> <pre><code>output_G1_L4_S100_T20_D48_R3.mp4 </code></pre> </div> </div> </div> <p>where:</p> <ul> <li>G1: Grade magnitude (1% uphill)</li> <li>L4: Number of traffic lanes (4 lanes)</li> <li>S100: Posted speed limit (100 km/h)</li> <li>T20: Percentage of trucks in traffic (20%)</li> <li>D48: Average traffic density (4.8 vehicles/hour/lane)</li> <li>R3: Scenario replication identifier (third replication)</li> </ul> <p>Each scenario was replicated at least three times.</p> <p>The following traffic and road conditions were simulated:</p> <table> <tbody> <tr> <td><strong>Factor</strong></td> <td><strong>Definition<br></strong></td> <td><strong>Numeric values</strong></td> </tr> <tr> <td><code>NL</code>:</td> <td>Number of lanes in the driving direction</td> <td>3 or 4 lanes</td> </tr> <tr> <td><code>G</code>:</td> <td>Grade magnitude</td> <td>1% (nearly level grade) or 4% (steep uphill grade)</td> </tr> <tr> <td><code>SL</code>:</td> <td>Posted speed limit</td> <td>90, 100, 110 or 120 km/h</td> </tr> <tr> <td><code>PT</code>:</td> <td>Percentage of trucks in the traffic stream</td> <td>0, 10, 20 or 30% trucks&nbsp;</td> </tr> <tr> <td><code>D</code>:</td> <td>Traffic density</td> <td>36, 48, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180 or 192 (x 0.1 veh/km/ln)</td> </tr> <tr> <td><code>R</code>:</td> <td>Scenario replication identifier&nbsp;</td> <td>integer &gt; 0</td> </tr> </tbody> </table> <p>If you find this dataset useful for your research, please let the authors know. We are open to collaborations and questions about the dataset.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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