TY - CHAP
T1 - Comprehensive framework for quantitative performance assessment of signal control effectiveness using vehicle trajectories
AU - Ostojic, Marija
AU - Mittal, Archak
AU - Mahmassani, Hani S.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This paper is based on research funded by the Northwestern University Transportation Center.
Publisher Copyright:
© National Academy of Sciences: Transportation Research Board 2020.
PY - 2020
Y1 - 2020
N2 - Connected environments offer more information, improved data availability and quality which can lead to better decision making; new meaningful information adds new functionalities and opportunities to advance operational efficiency. Can traffic signal system efficiency and mobility be measured and enhanced in innovative and meaningful ways by combining two data sources-connected vehicle-generated and controller event logs? This paper develops a comprehensive signal systems performance assessment framework that aims to offer better understanding of current traffic signal practices and standards and add new functionalities and opportunities to enhance signal systems operations. Its core is a novel performance metric that provides a holistic representation of the system which traditional metrics do not offer. To develop and demonstrate the concept, the study used simulation data in a format that corresponds to high resolution data (signal status and vehicle positions) on a tenth of a second level. Vehicle trajectory information is processed, fused with control data, synthesized to produce "information" required to develop a signalized approach performance estimation method. The data analysis platform presented in this study is intended to comprehensively characterize the state of the signalized system and help identify causes of inferior intersection performance by defining a set of visual and quantitative success indicators. The practicality of this method is reflected in reducing the time and effort required by the existing signal design/retiming practice, since trajectory-signal signatures distinguish between incidents and retiming opportunities caused by changing traffic conditions.
AB - Connected environments offer more information, improved data availability and quality which can lead to better decision making; new meaningful information adds new functionalities and opportunities to advance operational efficiency. Can traffic signal system efficiency and mobility be measured and enhanced in innovative and meaningful ways by combining two data sources-connected vehicle-generated and controller event logs? This paper develops a comprehensive signal systems performance assessment framework that aims to offer better understanding of current traffic signal practices and standards and add new functionalities and opportunities to enhance signal systems operations. Its core is a novel performance metric that provides a holistic representation of the system which traditional metrics do not offer. To develop and demonstrate the concept, the study used simulation data in a format that corresponds to high resolution data (signal status and vehicle positions) on a tenth of a second level. Vehicle trajectory information is processed, fused with control data, synthesized to produce "information" required to develop a signalized approach performance estimation method. The data analysis platform presented in this study is intended to comprehensively characterize the state of the signalized system and help identify causes of inferior intersection performance by defining a set of visual and quantitative success indicators. The practicality of this method is reflected in reducing the time and effort required by the existing signal design/retiming practice, since trajectory-signal signatures distinguish between incidents and retiming opportunities caused by changing traffic conditions.
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U2 - 10.1177/0361198120950728
DO - 10.1177/0361198120950728
M3 - Chapter
AN - SCOPUS:85099439528
VL - 2674
SP - 118
EP - 129
BT - Transportation Research Record
PB - SAGE Publications Ltd
ER -