@inproceedings{63fa4e9008654852bb8b0dae37c7ce39,
title = "Enabling Analysis and Visualization of Transportation Big Data",
abstract = "Transportation studies generate massive amounts of data that are difficult to store, process, query and visualize quickly and easily. Overcoming these challenges are an essential aspect of making the collected data useful to both the original study and other research that could build on the results. We explore the impact of database implementation, specifically IoTDB, on these aspects of data management with respect to transportation on existing datasets.",
keywords = "analysis, big data, database, IoTDB, performance, software, time-series, transportation, visualization",
author = "Stephen Rees and Jonathan Sprinkle and Xia Wang and Matthew Bunting and Work, \{Daniel B.\} and Lee, \{Jonathan W.\} and \{Delle Monache\}, \{Maria Laura\} and Bayen, \{Alexandre M.\} and Benedetto Piccoli",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 2025 Workshop on Design Automation for CPS and IoT, DESTION 2025, co-located with 2025 Cyber-Physical Systems and Internet-of-Things Week, CPS-IoT Week 2025 Workshops ; Conference date: 06-05-2025 Through 09-05-2025",
year = "2025",
month = jun,
day = "5",
doi = "10.1145/3722573.3727833",
language = "English (US)",
series = "Proceedings of the 2025 Workshop on Design Automation for CPS and IoT, DESTION 2025, 2025 Cyber-Physical Systems and Internet-of-Things Week, CPS-IoT Week 2025 Workshops",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 2025 Workshop on Design Automation for CPS and IoT, DESTION 2025, 2025 Cyber-Physical Systems and Internet-of-Things Week, CPS-IoT Week 2025 Workshops",
}