DOI: 10.5281/zenodo.17745348
title: Microscopic Vehicle Trajectories from Heterogeneous and Area-Based Traffic
title: Traffic Data from Developing Countries

description: The Microscopic Vehicle Trajectory (MVT) data are from an urban midblock location in the National Capital Region of India, featuring highly heterogeneous and area-based traffic (weak lane-based/non-lane-based/disordered traffic, as you prefer to call it :D ^-^).

The traffic was captured from a fixed height above the road surface (150 meters) using a UAV (drone), covering a road stretch of nearly 180 meters in both directions. In this version, only one direction of the data is provided, capturing traffic for nearly 63 minutes and encompassing varied traffic states, ranging from near Free Flow to Transition Flow and Congested Flow. The fundamental diagrams (FDs), along with some data visualisation of the features, are also attached. As per the notation in the FDs, "DEL 2" dataset is being released at this stage. In the near future, other datasets illustrated in the FDs will also be made openly available.Note: The densities are expressed in terms of the full carriageway width (3 lanes), as the traffic is area-based. Using lane-based densities during analysis would misrepresent the effect of lateral interactions.

The MVTs are exported at a temporal resolution of 0.1 seconds.The coordinates are calibrated in relation to the local coordinate system.The dataset is in CSV format, with semicolons (;) as separators, and contains over 3.5 million unique data points across all rows for more than 7,000 unique vehicles. 

Note: The MVT data has been extracted using the Data from Sky software, and the veracity of the output has already been checked in another study."Ali, Y., Krishnan, K.N., Sarkar, D.R., Rao, K.R., Chatterjee, N., Bhaskar, A., 2024. Scrutinizing Data from Sky : An Examination of Its Veracity in Area Based Traffic Contexts. arXiv Prepr. Arch. 1 . doi:https://doi.org/10.48550/arXiv.2404.17212"

The data headers are as follows:Track ID; A unique Identifier for each vehicleType; Vehicle types (Tuk-Tuk: Motorised three-wheelers, Medium Vehicle: Light Commercial Vehicles)Track Width [m]; The width of the traced vehicle in metersTrack Width Displacement [m]; NATrack Length [m]; The length of the traced vehicle in metersTrack Length Displacement [m]; NAEntry Gate; Entry Time [s]; Exit Gate; Exit Time [s]; Empty cells due to NO placement of gatesTraveled Dist. [m]; Distance travelled by the traced vehicle throughout the tracing stepsAvg. Speed [km/h]; Mean speed of the traced vehicles x [m];y [m]; Local coordinates of the centre of the vehicleSpeed [km/h]; Instantaneous speed of the vehicleTan. Acc. [ms-2]; instantaneous Longitudinal acceleration in the direction of motionLat. Acc. [ms-2]; instantaneous lateral acceleration across the direction of motionTime [s]; Time stamp of the records (rows)Angle [rad]: Heading angle with reference to the horizontal frame 

Note: Some coordinate values (x, y) may appear negative, which is due to the local coordinate calibration. All the coordinates need to be shifted to align the minimum values with the origin for better readability of the data (it's okay even if you don't shift them).

All the best! :)Have a happy research journey! (: