Welcome to the archive for the Arterial Performance Measure Tools Project. These materials were developed through a partnership between Traffax Inc. and Purdue University with funding from a Phase III SBIR contract (DTFH6114C00035) with the Federal Highway Administration. The project, entitled “Sensor Fusion and MOE Development for Off-Line Traffic Analysis of Real Time Data,” created and refined methods and tools for the characterization of performance along arterial corridors. Through papers, forums, and case studies, this project presents methods for applying these tools for the improvement of timing and arterial management, focusing on the application of Bluetooth re-identification and high-resolution controller data.

The materials are grouped into two sets plus a final report which overviews the entire project. The first set is a collection of five reports and two case studies that explain the new methodologies in depth, touch upon different aspects of their application, and include demonstrative examples of their use. The second set includes description and documentation of algorithms and associated software supporting the performance analysis. The introduction in the final report provides a brief description of each of the project deliverables.

Please note that any opinions, findings, and conclusions or recommendations expressed in these publications are those of the authors and do not necessarily reflect the views of the Federal Highway Administration.

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Submissions from 2017

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Sensor Fusion and MOE Development for Off-Line Traffic Analysis of Real Time Data, Christopher M. Day, Stanley E. Young, Darcy M. Bullock, and Dennis So Ting Fong

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Performance Measures of Interrupted-Flow Roadways Using Re-Identification and Signal Controller Data, Christopher M. Day and Darcy M. Bullock

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Executive Summary: Performance Measures of Interrupted-Flow Roadways Using Re-Identification and Signal Controller Data, Christopher M. Day and Darcy M. Bullock

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Real-Time Monitoring Concepts for Arterials Using Re-Identification and High-Resolution Data, Stanley E. Young and Dennis So Ting Fong

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Arterial Trip Length Characteristics, Stanley E. Young and Dennis So Ting Fong

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Network Performance Measures for Arterials—A Systematic Level Perspective, Stanley E. Young, Christopher M. Day, and Dennis So Ting Fong

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Visualizations of Arterial Traffic Performance Measures: A Picture Book Approach, Stanley E. Young, Christopher M. Day, Darcy M. Bullock, and Dennis So Ting Fong

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Assessing Longitudinal Arterial Performance and Traffic Signal Retiming Outcomes, Steven M. Lavrenz, Christopher M. Day, W Benjamin Smith, James R. Sturdevant, and Darcy M. Bullock

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Traffic Performance of Arterial Highways and Driver Routing Characteristics during a Freeway Detour, Christopher M. Day, Steven M. Lavrenz, Howell Li, and Darcy M. Bullock

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Arterial Performance Management System Lexicon, Stanley E. Young and Dennis So Ting Fong

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Common Data Formats for Re-Identification and High-Resolution Data, Stanley E. Young, Darcy M. Bullock, and Dennis So Ting Fong

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Arterial Performance Measures Software, Stanley E. Young and Dennis So Ting Fong

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Arterial Performance Measures Re-Identification Software Demonstration, Stanley E. Young and Dennis So Ting Fong

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Arterial Trip Length Characteristics Software, Stanley E. Young and Dennis So Ting Fong

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Arterial Network Performance Measures Software, Stanley E. Young and Dennis So Ting Fong