Detection Results

• New_TimeStamp - Timesteps for each vehicle (seconds)

• Vehicle_ID - Vehicle identifier

• Vehicle_class - Type of vehicle (0-tw, 1-car, 2-3w, 3-lcv, 4-hcv)

• Length - Vehicle length (meters)

• Width - Vehicle width (meters)

• Long_smooth - Smooth longitudinal position (meters)

• v_smooth - Smooth velocity (m/s)

• a_smooth - Smooth acceleration (m/s²)

• Latright_smooth - Smooth lateral position (meters)

• vy_smooth - Smooth lateral velocity (m/s)

• ay_smooth - Smooth lateral acceleration (m/s²)

For any publication that makes use of the dataset, authors are requested to cite this publication: Rajput, S., Venkateshappa, S., Kanagaraj, V., Asaithambi, G., & Treiber, M. (2026). SPT: Obtaining long trajectory data of disordered traffic using a swarm of unmanned aerial vehicles. Transportation Research Part C: Emerging Technologies, 182, 105431. https://doi.org/10.1016/j.trc.2025.105431 

Please acknowledge the data source as:“Data source: SPT - chennaitrafficdata.com” in the acknowledgment section.