Technical Papers
Nov 25, 2019

Method for Assessing Effect of Input Parameters on Multiobjective Optimization of Signal Control

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 2

Abstract

There is an increasing interest in signal-timing optimization methods that can consider mobility, safety, and emissions measures simultaneously. The introduction of new models increases the complexity of the required inputs and the relationships between inputs and outputs. This study developed and implemented such a method in an existing computational engine, presenting a sensitivity analysis conducted to provide insight on the effects and order of relevance of 20 key variables on the model’s outcomes and the associated trade-offs among mobility, safety, and emissions. This insight will help the designer, signal control engineer, and traffic analyst when designing intersection geometry and signal control. The statistical analysis of the results showed that the effect of each variable on the overall performance of the model is highly dependent on the combination of other variables. The traffic demand and the size of the intersection, defined by the number of lanes on the arterial, were found to be the most significant variables, affecting all performance measures. Mobility improvement performance usually coincides with emissions improvements, but sometimes occurs at the expense of safety.

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Acknowledgments

The study upon which this paper is based was funded by the USDOT UTC Program under the Southeastern Transportation Research Innovation Development and Education (STRIDE) Center, Project 2013-022S. The authors appreciate the support of all project team members at Florida International University and the University of Florida that contributed to various aspects of the overall project. The views and opinions in the paper are those of the authors only. The authors are fully responsible for any errors or omissions.

References

AASHTO. 2010. Highway safety manual. Washington, DC: AASHTO.
Agbelie, B., and A. Roshandeh. 2015. “Impacts of signal-related characteristics on crash frequency at urban signalized intersections.” J. Transp. Saf. Secur. 7 (3): 199–207. https://doi.org/10.1080/19439962.2014.943867.
Archer, J. 2004. “Methods for the assessment and prediction of traffic safety at urban intersections and their application in micro-simulation modeling.” Ph.D. dissertation, Division of Transport and Logistics, Royal Institute of Technology.
Azar, S., B. Reynolds, and S. Narayanan. 1999. “Comparison of two objective optimization techniques with and within genetic algorithm.” In Proc., ASME Design Engineering Technical Conf. New York: ASME.
Beasley, D., D. R. Bull, and R. R. Martin. 1993. “An overview of genetic algorithms. Pt1: Fundamentals.” Univ. Comput. 15 (2): 58–69.
Campolongo, F., J. Cariboni, and A. Saltelli. 2007. “An effective screening design for sensitivity analysis of large models.” Environ. Modell. Software 22 (10): 1509–1518. https://doi.org/10.1016/j.envsoft.2006.10.004.
Chen, X., M. Hadi, Y. Xiao, and L. Elefteriadou. 2016. “Development of macroscopic emission estimation model based on microscopic operating modes.” Transp. Res. Rec. 2570 (1): 39–47. https://doi.org/10.3141/2570-05.
Chin, H., and M. Quddus. 2003. “Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections.” Accid. Anal. Prev. 35 (2): 253–259. https://doi.org/10.1016/S0001-4575(02)00003-9.
EPA (Environmental Protection Agency). 2010. “MOVES2010 highway vehicle population and activity data.”. Washington, DC: EPA.
Essa, M., and T. Sayed. 2015. “Simulated traffic conflicts. Do they accurately represent field-measured conflicts?” Transp. Res. Rec. 2514 (1): 48–57. https://doi.org/10.3141/2514-06.
Gettman, D., L. Pu, T. Sayed, and S. Shelby. 2008. Surrogate safety assessment model and validation. Washington, DC: FHWA, US Dept. of Transportation.
Hadi, M., L. Elefteriadou, X. Chen, T. Wang, and Y. Xiao. 2017. Signal optimization with consideration of environmental and safety impacts, Part A: Estimation of environmental impacts. Gainesville, FL: Southeastern Transportation Research Innovation Development and Education.
Islam, M. R., A. A. Wyman, and D. S. Hurwitz. 2017. “Safer driver responses at intersections with green signal countdown timers.” Transp. Res. Part F 51: 1–13. https://doi.org/10.1016/j.trf.2017.08.010.
Kuehl, R. 1999. Design of experiments: Statistical principles of research design and analysis. 2nd ed. Pacific Grove, CA: Duxbury Press.
Lambert, D. 1992. “Zero-inflated Poisson regression with an application to defects manufacturing.” Technometrics 34 (1): 1–14. https://doi.org/10.2307/1269547.
Mitra, S., H. C. Chin, and M. Quddus. 2007. “Study of intersection accidents by maneuver type.” Transp. Res. Rec. 1784 (1): 43–50. https://doi.org/10.3141/1784-06.
Morris, M. D. 1991. “Factorial sampling plans for preliminary computational experiments.” Technometrics 33 (2): 161–174. https://doi.org/10.1080/00401706.1991.10484804.
Nunes, D. F. 2012. “Procedimento para Análise de Sensibilidade do Programa HDM-4.” Master’s thesis, São Carlos School of Engineering, Univ. of São Paulo.
Ozbay, K., H. Yang, B. Bartin, and S. Mudigonda. 2008. “Derivation and validation of new simulation-based surrogate safety measure.” Transp. Res. Rec. 2083 (1): 105–113. https://doi.org/10.3141/2083-12.
Poch, M., and F. Mannering. 1996. “Negative binomial analysis of intersection-accident frequencies.” J. Transp. Eng. 122 (2): 105–113. https://doi.org/10.1061/(ASCE)0733-947X(1996)122:2(105).
Saltelli, A., K. Chan, and M. Scott. 2000. Sensitivity analysis. New York: Wiley.
Saltelli, A., S. Tarantola, F. Campolongo, and M. Ratto. 2004. Sensitivity analysis in practice: A guide to assessing scientific models. Chichester, UK: Wiley.
Santner, T. J., B. J. Williams, and W. I. Notz. 2003. The design and analysis of computer experiments. New York: Springer.
Shahdah, U., F. Saccomanno, and B. Persaud. 2015. “Application of traffic microsimulation for evaluating safety performance of urban signalized intersections.” Transp. Res. Part C 60: 96–104. https://doi.org/10.1016/j.trc.2015.06.010.
Spigolon, L. M. G. 2010. “Semáforo: Grupo focal convencional x grupo focal com informação do tempo de verde/vermelho restante.” Master’s thesis, São Carlos School of Engineering, Univ. of São Paulo.
Stevanovic, A., J. Stevanovic, J. So, and M. Ostojic. 2015. “Multi-criteria optimization of traffic signals: Mobility, safety and environment.” Transp. Res. Part C 55: 46–68. https://doi.org/10.1016/j.trc.2015.03.013.
TRB (Transportation Research Board). 2016. “A guide for multimodal mobility analysis: Signalized intersections.” Chap. 19 in Highway capacity manual. 6th ed., 1–99. Washington, DC: TRB.
Trucano, T. G., L. P. Swiler, T. Igusa, W. L. Oberkampf, and M. Pilch. 2006. “Calibration, validation and sensitivity analysis: What’s what.” Reliab. Eng. Syst. Saf. 91 (10–11): 1331–1357. https://doi.org/10.1016/j.ress.2005.11.031.
Turner, S., R. Singh, and G. Nates. 2012. Crash prediction models for signalized intersections: Signal phasing and geometry. Christchurch, NZ: NZ Transport Agency.
University of Florida McTrans Center. 2018. Highway capacity software version 7.7 users guide 2018. Gainesville, FL: Univ. of Florida McTrans Center.
USDOT (US Department of Transportation). 2007. “NGSIM – Next generation simulation.” Accessed August 1, 2016. http://www.ngsim.fhwa.dot.gov.
Wang, X. S., and M. Abdel-Aty. 2006. “Temporal and spatial analyses of rear-end crashes at signalized intersections.” Accid. Anal. Prev. 38 (6): 1137–1150. https://doi.org/10.1016/j.aap.2006.04.022.
Yang, W., L. Zhang, L. Zhang, and H. Shi. 2013. “A golden ratio-based genetic algorithm and its application in traffic signal timing optimization for urban signalized intersections.” In Proc., 4th Int. Conf. on Transportation Engineering, 22–29. Reston, VA: ASCE.

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 2February 2020

History

Received: Sep 28, 2018
Accepted: May 1, 2019
Published online: Nov 25, 2019
Published in print: Feb 1, 2020
Discussion open until: Apr 25, 2020

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Authors

Affiliations

Gustavo Riente de Andrade, Ph.D. [email protected]
Transportation Modeler, Stantec Consulting Services, Inc., 300 Primera Blvd., Suite 300, Lake Mary, FL 32746 (corresponding author). Email: [email protected]
Lily Elefteriadou, Ph.D., M.ASCE [email protected]
Professor, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611. Email: [email protected]
Mohammed Hadi, Ph.D. [email protected]
P.E.
Professor, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL 33174. Email: [email protected]
Vishal Khanapure [email protected]
Computer Research Specialist, ESSIE, McTrans Center, Univ. of Florida, Gainesville, FL 32609. Email: [email protected]

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