Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems, 2nd Edition, offers analytical instruction on data-enabled methods used to evaluate intelligent transportation systems. This textbook introduces fundamental analytical tools needed to process, evaluate, and interpret complex data streams generated across modern transit networks and connected transportation systems.

Instruction moves across multiple technical domains central to modern transit management. Thematic coverage details data infrastructure design, data pipelines, and data delivery systems for ITS. Additional chapters evaluate machine learning techniques in transportation data analytics, explore security and data privacy topics related to modern automobiles, and examine how social media data informs traffic planning.

To reinforce practical skill development, each chapter incorporates exercise problems designed to help students master fundamental principles and core technical concepts. The text functions as a primary or supplemental textbook in upper-level undergraduate and graduate ITS courses, serving graduate students and researchers across transportation engineering, data science, and computer science.