Performance Measures for Adaptive Signal Control: Case Study of System-in-the-Loop Simulation

Day, Christopher M.; Ernst, Joseph M.; Brennan, Thomas M.; Chou, Chih-Sheng; Hainen, Alexander M.; Remias, Stephen M.; Nichols, Andrew P; Griggs, Brian D.; Bullock, Darcy M.

doi:10.3141/2311-01

Cited by 30 publications

(17 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, one significant challenge for ATCS evaluation is the very nature of actuated control, having variable signal timing parameters. For adaptive operation, conventional performance measures (PMs) which are often based on conventional traffic flow measures do not provide enough details for capturing the multidimensionality of operational effectiveness [20,21].…”

Section: Analytical Formulation Of Performance Measures and Evaluatiomentioning

confidence: 99%

Upgrade Evaluation of Traffic Signal Assets: High-resolution Performance Measurement Framework

Dakic¹,

Mladenović²,

Stevanovic

et al. 2018

PROMET

View full text Add to dashboard Cite

Agencies that have large-scale traffic signal systems under their purview often have to face asset upgrade decisions. As one of the most advanced traffic control technologies, Adaptive Traffic Control Systems (ATCS) are among the options that must be taken into consideration. Having in mind the complexity of benefits and costs stemming from ATCS investments, there is a need for information-rich performance measures (PM) used in the evaluation and decision-making. However, individual PMs are often not suitable for evaluating the multidimensionality of ATCS operations, due the inherent variability of ATCS control parameters. To expand the range of PMs used in ATCS evaluation, this research develops a new PM, i.e., average arrivals on green ratio, and proposes a refinement of average delay PM to account for queue formation. The paper also presents an application framework for a multi-criteria analysis, assuming a combination of the proposed and existing PMs. In addition to presenting the analytical PM formulation, the evaluation methodology uses microsimulation for a case study comparison between actuated-coordinated and ATCS operations. The results include a comparison between previous and proposed PMs, based on the processed simulation data as well as field data. In conclusion, the proposed PMs have a high transferability potential, low data collection cost, and high data quality, thus being suitable for use in decision processes for signal asset investment. Finally, this research opens up further opportunities for advancing decision-support methods for traffic operations asset management.

show abstract

Section: Analytical Formulation Of Performance Measures and Evaluatiomentioning

confidence: 99%

Upgrade Evaluation of Traffic Signal Assets: High-resolution Performance Measurement Framework

Dakic¹,

Mladenović²,

Stevanovic

et al. 2018

PROMET

View full text Add to dashboard Cite

show abstract

“…was used to visually evaluate the poor progression along arterials Day et al, 2012). In fact, PCD is not only a powerful tool to identify poor progression; it also helps professionals to infer the reasons behind poor progression.…”

Section: Related To Arrival Type and Quality Of Progression A Purduementioning

confidence: 99%

Exploring High-Resolution Data Obtained from ASC/3 Controller of Intersection SE Division St & SE 122nd Ave, Portland, Oregon

Al-Abbas¹

2018

View full text Add to dashboard Cite

“…Figure 6.16 shows a view of a simulation network that was used to test several different control schemes for an arterial system in Morgantown, West Virginia [95]. There are two intersections in this network; we will show example PCDs for the labeled signalized approach.…”

Section: Advanced and Experimental Control Examplesmentioning

confidence: 99%

Integrating Traffic Signal Performance Measures into Agency Business Processes

Day¹,

Bullock²,

Li³

et al. 2015

View full text Add to dashboard Cite

Federal Highway Administration Office of Operations and Resource Center. Some material in this monograph was compiled from previous studies that were made possible under National Cooperative Highway Research Program project 3-79a, INDOT State Planning and Research (SPR) projects, Indiana LTAP projects, and USDOT through Small Business Innovation Research (SBIR) projects with Traffax, Inc., and through a joint research project with Marshall University. We would like to thank Rick Schuman and colleagues at Inrix, Inc., for provision of sample vehicle trajectory data in Chapter 7. We are grateful to these sponsors and research partners for their support over the years.The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the sponsoring organizations. These contents do not constitute a standard, specification, or regulation. CopyrightCopyright 2015 by Purdue University. All rights reserved.Print ISBN: 978-1-62260-376-3 ePUB ISBN: 978-1-62260-377-0 ABSTRACT INTEGRATING TRAFFIC SIGNAL PERFORMANCE MEASURES INTO AGENCY BUSINESS PROCESSESThis report discusses uses of and requirements for performance measures in traffic signal systems facilitated by high-resolution controller event data. Uses of external travel time measurements are also discussed. The discussion is led by a high-level synthesis of the systems engineering concepts for traffic signal control, considering technical and nontechnical aspects of the problem. This is followed by a presentation of the requirements for implementing data collection and processing of the data into signal performance measures. The remaining portion of the report uses an example-oriented approach to show a variety of uses of performance measures for communication and detector system health, quality of local control (including capacity allocation, safety, pedestrian performance, preemption, and advanced control analysis), and quality of progression (including evaluation and optimization).

show abstract

Performance Measures for Adaptive Signal Control: Case Study of System-in-the-Loop Simulation

Cited by 30 publications

References 11 publications

Upgrade Evaluation of Traffic Signal Assets: High-resolution Performance Measurement Framework

Upgrade Evaluation of Traffic Signal Assets: High-resolution Performance Measurement Framework

Exploring High-Resolution Data Obtained from ASC/3 Controller of Intersection SE Division St & SE 122nd Ave, Portland, Oregon

Integrating Traffic Signal Performance Measures into Agency Business Processes

Contact Info

Product

Resources

About