Leveraging Big Data to Improve Traffic Incident Management (2019) / Chapter Skim
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1 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. Big Data is not just about the volume of data, it also is about the velocity, variety, veracity, and value of data.
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2 Leveraging Big Data to Improve Traffic Incident Management National Traffic Incident Management Responder Training Program, the implementation of TIM legislation, and the collection and analysis of TIM data for performance measurement. Among these advancements, however, the collection and use of TIM data by agencies have lagged.
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Summary 3 Data Source Assessment The research team conducted a comprehensive assessment of 31 TIM-relevant data sources organized across six data domains. The assessment included a description of each data source, its potential application for TIM, the costs of accessing the data, and challenges associated with the data sources.
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4 Leveraging Big Data to Improve Traffic Incident Management during the event. The IRCO organizes all these details in terms of defined classes and super classes, various object properties, and various data properties.
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Summary 5 pursue the development of an evolving data science environment beneficial to the entire agency. These guidelines will help position transportation and TIM agencies for Big Data.
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