AI-Powered Data Engineering for Intelligent Transportation Systems

Abstract: The mission of intelligent transportation systems (ITS) is to enhance transportation safety, efficiency, mobility, and sustainability through the integration of data from multiple sources. Despite the celebrated success of artificial intelligence (AI) in development and commercialization, its growing capacities, accessibility, and affordability have not been capitalized on in ITS. This is due partly to the lack of comprehensive and clearly delineated means for infrastructure provision, timeliness, and system continuity—especially in maintenance, operations, and expansion—and partly to the underlying data fundamentals. AI engenders unprecedented opportunities for transportation solutions by providing its own data engineering. Examination of AI-Powered Data Engineering methods reveals the enabling means of AI-based data engineering for ITS.
Data engineering encompasses the core functions for the acquisition, preparation, and deployment of data suitable for analysis and modeling. Like the broader IT domain, AI-Powered Data Engineering for ITS operates on a foundation of data acquisition and ingestion; integration and interoperability; architecture; optimization; security; governance; agency; and deployment. The function for data acquisition and ingestion serves the dual purpose of ingesting system-based information—such as from traffic signals and detection cameras used for system administration—as well as supporting predictive models for demand and congestion forecasting conversation systems for route planning and incident mitigation.

Keywords: Intelligent Transportation Systems, AI-Powered ITS, Transportation Data Integration, AI-Based Data Engineering, Transportation Safety And Efficiency, Mobility And Sustainability, Multi-Source Transportation Data, ITS Infrastructure Provisioning, Real-Time Transportation Analytics, Data Acquisition And Ingestion, Transportation Data Interoperability, ITS Data Architectures, Predictive Traffic Modeling, Demand And Congestion Forecasting, Route Planning Optimization, Incident Detection And Mitigation, Transportation System Operations, ITS Data Governance And Security, AI-Driven Transportation Solutions, Scalable ITS Data Pipelines.