Upgrade Evaluation of Traffic Signal Assets: High-resolution Performance Measurement Framework
Abstract
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.
References
[2] Mladenovic M, Mangaroska K, Abbas M. Decision-Support System for Planning Traffic Operations Assets. ASCE Journal of Infrastructure Systems. 2017;23(3): 05017001.
[3] Papageorgiou M. (ed.) Concise Encyclopedia of Traffic & Transportation Systems. Pergamon. 1991;6: 162-167.
[4] Day I. SCOOT-Split, Cycle & Offset Optimization Technique, Version 3.1. [Presentation] TRB Mid-Year Meeting and Adaptive Traffic Signal Control Workshop, July 12-14, 1998.
[5] Lowrie PR. SCATS, Sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic. Darlinghurst, NSW, Australia: Roads and Traffic Authority NSW, Traffic Control Section; 1990.
[6] Busch F, Kruse G. MOTION for SITRAFFIC-a modern approach to urban traffic control. IEEE Intelligent Transportation Systems. 2001: 61-64.
[7] Stevanovic A. Adaptive traffic control systems: domestic and foreign state of practice. 2010; Project 20-5 (Topic 40-03).
[8] Mladenovic M, Abbas M. A survey of experiences with adaptive traffic control systems in North America. Journal of Road and Traffic Engineering. 2013;59(2): 5-11.
[9] Mladenovic M. Large scale analysis of traffic control systems. Traffic Engineering & Control. 2012;53(1): 26-32.
[10] Mladenovic M, Abbas M. A guide to effective adaptive traffic control systems. Traffic Engineering & Control. 2012;53(2): 52-54.
[11] Mladenovic MN, Stevanovic A, Kosonen I, Glavic D. Adaptive Traffic Control Systems: Guidelines for Development of Functional Requirements. International Scientific Conference on Mobility and Transport (mobil. TUM); 2015.
[12] Friedrich B. Adaptive signal control: an overview. In: 13th Mini Euro Conference– Handling Uncertainty in the Analysis of Traffic and Transportation systems; 2002.
[13] Shelby SG. Design and evaluation of real-time adaptive traffic signal control algorithms. PhD thesis. The University of Arizona; 2001.
[14] Doshi HP, Ozbay K. Evaluation of Three Distinct Adaptive Control Strategies for New Jersey State Highways Using Paramics. Transportation Research Board 85th Annual Meeting. 2006; 06-2910.
[15] Gartner NH, Zhang L, Li H. Comparative evaluation of three adaptive control strategies: OPAC, TACOS, and FLC. Transportation Research Board 85th Annual Meeting. 2006; 06-2479.
[16] Papageorgiou M, Kouvelas A, Kosmatopoulos E, Dinopoulou V, Smaragdis E. Application of the signal control strategy TUC in three traffic networks: Comparative evaluation results. In Information and Communication Technologies, 2006. ICTTA’06. 2nd, IEEE. 2006;1: 714-720.
[17] Jagannathan R, Khan AM. Methodology for the assessment of traffic adaptive control systems. Institute of Transportation Engineers. ITE Journal. 2001;71(6): 28.
[18] Stevanovic A, Kergaye C, Martin PT. SCOOT and SCATS: A Closer Look into Their Operations. 88th Annual Meeting of the Transportation Research Board. Washington DC; 2009.
[19] Afandizadeh Zargari S, Dehghani N, Mirzahossein H, Hamedi M. Improving SCATS operation during congestion periods using internal/external traffic metering strategy. Promet – Traffic & Transportation. 2016;28(1): 41-47.
[20] Day C, Ernst J, Brennan T, Chou CS, Hainen A, Remias S, Nichols A, Griggs B, Bullock D. Performance measures for adaptive signal control: Case study of system-in-the-loop simulation. Transportation Research Record: Journal of the Transportation Research Board. 2012; 2311: 1-15.
[21] Day CM, Bullock DM, Li H, Remias SM, Hainen AM, Freije RS, Stevens AL, Sturdevant JR, Brennan TM. Performance measures for traffic signal systems: An outcome-oriented approach. Purdue University, West Lafayette, Indiana; 2014.
[22] Smaglik E, Sharma A, Bullock D, Sturdevant J, Duncan G. Event-based data collection for generating actuated controller performance measures. Transportation Research Record: Journal of the Transportation Research Board. 2007;2035: 97-106.
[23] Dakic I, Stevanovic A. On development of arterial fundamental diagrams based on surrogate density measures from adaptive traffic control systems utilizing stop-line detection. Transportation Research Procedia. 2017;23: 942-961.
[24] Automated Traffic Signal Performance Measures. Available from: http://udottraffic.utah.gov/ATSPM/ [Accessed January 26, 2017].
[25] Major Issues in Performance Measurement. Available from: http://www.ops.fhwa.dot.gov/perf_measurement/fundamentals/major_issues.htm [Accessed January 26, 2017].
[26] Jelušić N, Anžek M, Ivanković B. Information source quality in intelligent transport systems. Promet – Traffic & Transportation. 2010;22(2): 125-131.
[27] Smaglik EJ, Bullock DM, Sharma A. Pilot study on real-time calculation of arrival type for assessment of arterial performance. Journal of transportation engineering. 2007;133(7): 415-422.
[28] Stevanovic A, Zlatkovic M, Dakic I, Kergaye C, Enock M. Evaluation of Adaptive Traffic Control through Performance Metrics based on High-Resolution Controller Data. International Scientific Conference on Mobility and Transport (mobil.TUM); 2015.
[29] Greenshields BD, Schapiro D, Ericksen EL. Traffic Performances at Urban Street Intersections, Bureau of Highway Traffic, Yale University. Technical report No. 1, 1947.
[30] Bonneson JA. Modeling queued driver behavior at signalized junctions. Transportation Research Record. 1992: 99-99.
[31] Stevanovic A, Dakic I, Zlatkovic M. Comparison of adaptive traffic control benefits for recurring and non-recurring traffic conditions. IET Intelligent Transport Systems. 2016;11(3): 142-151.
[32] Liu HX, Wu X, Ma W, Hu H. Real-time queue length estimation for congested signalized intersections. Transportation Research Part C: Emerging Technologies. 2009;17(4): 412-427.
Copyright (c) 2018 Igor Dakic, Milos Mladenovic, Aleksandar Stevanovic, Milan Zlatkovic
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