The Swarm Intelligence Freeway-Urban Trajectories (SWIFTraj) Dataset -- Part I: Dataset Description and Applications

TL;DR

SWIFTraj is a new open-source vehicle trajectory dataset captured by drones, offering long-distance, high-resolution data across freeway and urban networks for transportation research.

Contribution

It introduces a comprehensive, publicly available dataset with unique long-range trajectories and network coverage, supporting advanced traffic analysis and autonomous driving studies.

Findings

Provides continuous trajectories up to 4.5 km long.

Covers integrated freeway and urban network areas.

Facilitates multi-scale traffic modeling and analysis.

Abstract

This paper presents a detailed description and characterization of a new open-source vehicle trajectory dataset, namely SWIFTraj, constructed from videos recorded by a swarm of 16 drones equipped with 5.4K-resolution cameras. The dataset is distinguished from existing open-source trajectory datasets in several aspects. First, it provides long-distance continuous trajectories of up to 4.5 km on a freeway, enabling in-depth investigation of traffic phenomena and their spatial and temporal evolution. Second, the data collection site covers an integrated network consisting of a long freeway corridor and parts of its connected urban network, facilitating traffic analysis and modeling from a network perspective. The potential applications of the dataset for transportation research, including traffic flow analysis, modeling, and control at multiple scales, as well as topics related to autonomous driving, are thoroughly discussed. Finally, SWIFTraj is released as a freely accessible open-source dataset to support and accelerate future research in the transportation community. The dataset is publicly available at the SWIFTraj website (https://www.swiftraj.com).