2026-10-06T04:04:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34010331 2026-09-28T06:26:55Z category_28834 category_28855 category_29080 category_29095 category_29098 category_29077 item_type_3 month_year_09_2026

Logistics dataset for optimization Rupali Mitra (25118916) Evolutionary computation Satisfiability and optimisation Decision support and group support systems Information systems for sustainable development and the public good Information systems organisation and management Business process management Logistics Driver fatigue Sustainability Order driver assignment <p dir="ltr">The dataset contains 5000 records with 19 attributes pertaining to transport of goods to various locations by drivers travelling on different routes. Columns include route specific data (route identifier, distance, traffic density, fuel consumed), environmental metrics (temperature and humidity), variables related to driver behaviour (fatigue level, feedback score, violations), and other operational data (fuel efficiency, delivery efficiency, delivery delay). </p><p dir="ltr">I am not the original author of this dataset. I collected it from Kaggle for research from the link which is now defunct: (<a href="https://www.kaggle.com/datasets/programmer3/real-time-logistics-data-for-decision-support" target="_blank">https://www.kaggle.com/datasets/programmer3/real-time-logistics-data-for-decision-support</a>). Since the link has been removed by the previous author, I am uploading the dataset is here. </p><p dir="ltr">A summary of dataset attributes, including semantic definitions, mean, standard deviation, and range (minimum–maximum) values for each feature are given below: </p><table><tr><td><p dir="ltr"><b>Attribute</b></p></td><td><p dir="ltr"><b>Description</b></p></td><td><p dir="ltr"><b>Mean</b></p></td><td><p dir="ltr"><b>Std. Dev</b></p></td><td><p dir="ltr"><b>Min</b></p></td><td><p dir="ltr"><b>Max</b></p></td></tr><tr><td><p dir="ltr"><b>vehicle_id</b></p></td><td><p dir="ltr">A unique identifier for each vehicle in the fleet.</p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td></tr><tr><td><p dir="ltr"><b>timestamp</b></p></td><td><p dir="ltr">Date and time record of the data entry (DD-MM-YYYY HH:MM).</p></td><td><p dir="ltr">4 Feb 25</p></td><td><p><br></p></td><td><p dir="ltr">1 Jan 25</p></td><td><p dir="ltr">11 Mar 25</p></td></tr><tr><td><p dir="ltr"><b>latitude, longitude</b></p></td><td><p dir="ltr">The geographic coordinates of the vehicle.</p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td></tr><tr><td><p dir="ltr"><b>speed</b></p></td><td><p dir="ltr">Current traveling speed of the vehicle (typically in km/h or mph).</p></td><td><p>74.7</p></td><td><p>26.1</p></td><td><p>30</p></td><td><p>120</p></td></tr><tr><td><p dir="ltr"><b>route_id</b></p></td><td><p dir="ltr">Unique path identifier (50 unique route ids).</p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td></tr><tr><td><p dir="ltr"><b>distance_covered</b></p></td><td><p dir="ltr">Total distance travelled by the vehicle during the current session.</p></td><td><p>497</p></td><td><p>283</p></td><td><p>10.1</p></td><td><p>1000</p></td></tr><tr><td><p dir="ltr"><b>traffic_density</b></p></td><td><p dir="ltr">A normalized value (0 to 1) representing the congestion level on the road.</p></td><td><p>0.55</p></td><td><p>0.26</p></td><td><p>0.1</p></td><td><p>1</p></td></tr><tr><td><p dir="ltr"><b>temperature</b></p></td><td><p dir="ltr">Ambient outdoor temperature at the vehicle's location.</p></td><td><p>25.2</p></td><td><p>5.76</p></td><td><p>15</p></td><td><p>35</p></td></tr><tr><td><p dir="ltr"><b>humidity</b></p></td><td><p dir="ltr">Atmospheric moisture level percentage.</p></td><td><p>55.4</p></td><td><p>14.4</p></td><td><p>30</p></td><td><p>80</p></td></tr><tr><td><p dir="ltr"><b>driver_id</b></p></td><td><p dir="ltr">Unique identifier for the vehicle driver. (100 unique drivers).</p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td><td><p><br></p></td></tr><tr><td><p dir="ltr"><b>violations_count</b></p></td><td><p dir="ltr">Number of recorded traffic or safety violations during the trip.</p></td><td><p>2.04</p></td><td><p>1.41</p></td><td><p>0</p></td><td><p>4</p></td></tr><tr><td><p dir="ltr"><b>fatigue_level</b></p></td><td><p dir="ltr">A score (0 to 1) to monitor driver exhaustion.</p></td><td><p>0.5</p></td><td><p>0.29</p></td><td><p>0</p></td><td><p>1</p></td></tr><tr><td><p dir="ltr"><b>fuel_consumed</b></p></td><td><p dir="ltr">Total fuel used in the current route.</p></td><td><p>27.3</p></td><td><p>12.9</p></td><td><p>5.02</p></td><td><p>50</p></td></tr><tr><td><p dir="ltr"><b>fuel_efficiency</b></p></td><td><p dir="ltr">Distance travelled per unit of fuel (e.g., km/L or MPG).</p></td><td><p>10.1</p></td><td><p>2.91</p></td><td><p>5</p></td><td><p>15</p></td></tr><tr><td><p dir="ltr"><b>maintenance_due</b></p></td><td><p dir="ltr">Binary flag (0 or 1) indicating if the vehicle requires servicing.</p></td><td><p>0.2</p></td><td><p>0.4</p></td><td><p>0</p></td><td><p>1</p></td></tr><tr><td><p dir="ltr"><b>delivery_delay</b></p></td><td><p dir="ltr">Time variance from the schedule; negative values indicate early arrival.</p></td><td><p>22.7</p></td><td><p>21.5</p></td><td><p>-15</p></td><td><p>60</p></td></tr><tr><td><p dir="ltr"><b>feedback_score</b></p></td><td><p dir="ltr">Qualitative rating (1-5) provided by the client or system.</p></td><td><p>2.99</p></td><td><p>1.41</p></td><td><p>1</p></td><td><p>5</p></td></tr><tr><td><p dir="ltr"><b>delivery_efficiency</b></p></td><td><p dir="ltr">Indicates whether a delivery was efficient (1) or inefficient (0).</p></td><td><p>0.03</p></td><td><p>0.16</p></td><td><p>0</p></td><td><p>1</p></td></tr></table><p></p> 2026-09-28T06:26:55Z Dataset Dataset 10.6084/m9.figshare.34010331.v1 https://figshare.com/articles/dataset/Logistics_dataset_for_optimization/34010331 CC BY 4.0