Implementing phase rotation in a person-based signal timing optimization framework

Zhengyao Yu, Vikash Varun Gayah, Eleni Christofa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Person-based traffic signal timing optimization frameworks have recently been proposed to minimize total passenger delay at intersections. These traffic-responsive frameworks implicitly prioritize transit vehicles over cars due to their higher passenger occupancies while considering conflicts that might exist between transit vehicles arriving from conflicting approaches. However, previous person-based signal timing optimizations consider only fixed phase sequences, which limits their flexibility. This paper extends previously developed algorithms to consider phase rotation in which phase sequences may change within each cycle. The phase rotation is directly incorporated in the mathematical programming framework, but could also be accommodated using an enumeration approach for computational efficiency. The proposed signal timing optimization is tested using numerical simulations of an intersection in State College, PA. The results reveal that phase rotation can reduce overall passenger delay through significantly cutting down bus passenger delay while slightly increasing car passenger delay. However, the performance is sensitive to the assumption made in optimization about phase sequence in future cycles. Assuming a background sequence, rather than an optimized sequence in the current cycle, for future generally results in less frequent phase rotation actions. Such a practice can better maintain a pre-assigned background phase sequence but limits the reduction in passenger delays at the intersection.

Original languageEnglish (US)
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages20-25
Number of pages6
ISBN (Electronic)9781728103235
DOIs
StatePublished - Dec 7 2018
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: Nov 4 2018Nov 7 2018

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November

Other

Other21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
CountryUnited States
CityMaui
Period11/4/1811/7/18

Fingerprint

Traffic signals
Mathematical programming
Passenger cars
Computational efficiency
Railroad cars
Computer simulation

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Yu, Z., Gayah, V. V., & Christofa, E. (2018). Implementing phase rotation in a person-based signal timing optimization framework. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018 (pp. 20-25). [8569671] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2018.8569671
Yu, Zhengyao ; Gayah, Vikash Varun ; Christofa, Eleni. / Implementing phase rotation in a person-based signal timing optimization framework. 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 20-25 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).
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abstract = "Person-based traffic signal timing optimization frameworks have recently been proposed to minimize total passenger delay at intersections. These traffic-responsive frameworks implicitly prioritize transit vehicles over cars due to their higher passenger occupancies while considering conflicts that might exist between transit vehicles arriving from conflicting approaches. However, previous person-based signal timing optimizations consider only fixed phase sequences, which limits their flexibility. This paper extends previously developed algorithms to consider phase rotation in which phase sequences may change within each cycle. The phase rotation is directly incorporated in the mathematical programming framework, but could also be accommodated using an enumeration approach for computational efficiency. The proposed signal timing optimization is tested using numerical simulations of an intersection in State College, PA. The results reveal that phase rotation can reduce overall passenger delay through significantly cutting down bus passenger delay while slightly increasing car passenger delay. However, the performance is sensitive to the assumption made in optimization about phase sequence in future cycles. Assuming a background sequence, rather than an optimized sequence in the current cycle, for future generally results in less frequent phase rotation actions. Such a practice can better maintain a pre-assigned background phase sequence but limits the reduction in passenger delays at the intersection.",
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Yu, Z, Gayah, VV & Christofa, E 2018, Implementing phase rotation in a person-based signal timing optimization framework. in 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018., 8569671, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., pp. 20-25, 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, United States, 11/4/18. https://doi.org/10.1109/ITSC.2018.8569671

Implementing phase rotation in a person-based signal timing optimization framework. / Yu, Zhengyao; Gayah, Vikash Varun; Christofa, Eleni.

2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 20-25 8569671 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Yu Z, Gayah VV, Christofa E. Implementing phase rotation in a person-based signal timing optimization framework. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 20-25. 8569671. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2018.8569671