Enhanced Traffic Pattern Knowledge Abstraction and Presentation From 511 Database

Details

• Creators:
  Ding, Jiannan ; Koshy, Liya ; Maheshwari, Tanay ; Mathew, Abin ; Zhou, Jue ; Chien, Stanley Yung-Ping ; Li, Tianyi ; Tao, Chengcheng ; Chen, Yaobin
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Data Banks Databases Data Collection History Information Systems Pattern Recognition Systems Quality Control Traffic User Interfaces Visualization Visual Presentations

  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2025/43
• DOI:
  https://doi.org/10.5703/1288284318608
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Purdue University. Joint Transportation Research Program
• Abstract:
  The explosive growth in the volume, variety, and velocity of transportation data has placed considerable strain on traditional data infrastructures employed by state departments of transportation (state DOTs). Existing traffic information systems are constrained by fragmented data streams, limited historical archiving, and inadequate interoperability, thereby hindering their utility for comprehensive analysis, causal inference, and predictive modeling. This study addresses these challenges by presenting the design and initial implementation of a traffic data integration platform that unifies multi-source datasets and establishes a foundation for more applications. The platform focuses on data integration and access, incorporating systematic data ingestion pipelines, schema harmonization, quality management, and visualization capabilities. Three consecutive steps are performed: 1) identification of data sources, 2) platform data design and implementation, and 3) user interface design. Data source identification classifies source categories and formalizes collection and quality control procedures. Platform data design and implementation demonstrates database structures, ingestion pipelines, and interface protocols. Finally, user interface design supports dynamic user queries and customizable data display formats. It delivers a scalable and interoperable architecture, laying the groundwork for data-driven transportation systems and intelligent planning.
• Format:
  PDF
• Funding:
  SPR-4937
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:97e8521049fd459b3bc92f5633cdf25763cee4dc6c61a87331e447507f0004f9e64f6875fb31e1252b39eba814898bb767410fb002e4d69db5b3d0971c701310
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/91230/dot_91230_DS1.pdf
• File Type:
  [PDF - 4.27 MB ]