Roadway System Assessment Using Bluetooth-Based Automatic Vehicle Identification Travel Time Data
Day, C. M., T. M. Brennan, A. M. Hainen, S. M. Remias, and D. M. Bullock. Roadway System Assessment Using Bluetooth-Based Automatic Vehicle Identification Travel Time Data. Purdue University, West Lafayette, Indiana, 2012. https://doi.org/10.5703/1288284314988
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This monograph is an exposition of several practice-ready methodologies for automatic vehicle identification (AVI) data collection systems. This includes considerations in the physical setup of the collection system as well as the interpretation of the data. An extended discussion is provided, with examples, demonstrating data techniques for converting the raw data into more concise metrics and views. Examples of statistical before-after tests are also provided. A series of case studies were presented that focus on various real-world applications, including the impact of winter weather on freeway operations, the economic benefit of traffic signal retiming, and the estimation of origin-destination matrices from travel time data. The technology used in this report is Bluetooth MAC address matching, but the concepts are extendible to other AVI data sources.