Leveraging Big Data to Improve Traffic Incident Management (2019) / Chapter Skim
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Pages 6-8
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6 The term Big Data represents a fundamental change in what data is collected and how it is collected, analyzed, and used to uncover trends and relationships. The ability to merge multiple, diverse, and comprehensive datasets and then mine the data to uncover or derive useful information on heretofore unknown or unanticipated trends and relationships could provide significant opportunities to advance the state of the practice in TIM policies, strategies, practices, and resource management.
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Introduction 7 diverse, associated datasets could be key in identifying ways to improve TIM. Many opportunities exist to improve TIM using Big Data, and numerous data sources exist from which to draw.
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8 Leveraging Big Data to Improve Traffic Incident Management This report describes the research approach in more detail and presents the findings associated with each of the research activities. The remaining chapters of the report are organized as follows: • Chapter 2: State of the Practice of TIM: This chapter provides a high-level overview of the state of the practice in TIM procedures, training, data collection, and the use of data for measuring and monitoring TIM performance, and makes the business case for TIM.
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