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Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections

Author

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  • Suhaib Alshayeb

    (Department of Civil & Environmental Engineering, Swanson School of Engineering, University of Pittsburgh, Benedum Hall, 3700 O’Hara Street, Pittsburgh, PA 15261, USA)

  • Aleksandar Stevanovic

    (Department of Civil & Environmental Engineering, Swanson School of Engineering, University of Pittsburgh, Benedum Hall, 3700 O’Hara Street, Pittsburgh, PA 15261, USA)

  • Nemanja Dobrota

    (Department of Civil & Environmental Engineering, Swanson School of Engineering, University of Pittsburgh, Benedum Hall, 3700 O’Hara Street, Pittsburgh, PA 15261, USA)

Abstract

Sustainability has become one of the most important goals when optimizing traffic signals. This goal is achieved through utilizing various objective functions to reduce sustainability metrics (e.g., fuel consumption and emissions). However, most available objective functions do not distinguish between the reduction mechanism of various types of emissions. Further, such functions do not consider the compound impact of multiple operational conditions (e.g., road gradient) influencing emissions on the optimized signal plans. This study derives a new Environmental Performance Index representing a surrogate measure for emission estimates that can be used as an objective function in signal timings optimization to reduce emissions under various operational conditions. The Environmental Performance Index is a linear combination of delays and stops. The key factor of the Environmental Performance Index is the emissions-based stop penalty, which represents an emission stop equivalency measured in seconds of delay. This study also uses traffic simulation and emission models to investigate the compound impact of several operational conditions on the stop penalty. Results show that the stop penalty varies significantly with all the investigated conditions and that the stop penalty is unique for different types of emissions. These findings may have significant implications on the current practice of sustainable signal timing optimization.

Suggested Citation

  • Suhaib Alshayeb & Aleksandar Stevanovic & Nemanja Dobrota, 2021. "Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections," Sustainability, MDPI, vol. 13(18), pages 1-30, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10037-:d:631094
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    Cited by:

    1. Suhaib Alshayeb & Aleksandar Stevanovic & B. Brian Park, 2021. "Field-Based Prediction Models for Stop Penalty in Traffic Signal Timing Optimization," Energies, MDPI, vol. 14(21), pages 1-23, November.
    2. Suhaib Alshayeb & Aleksandar Stevanovic & Nikola Mitrovic & Elio Espino, 2022. "Traffic Signal Optimization to Improve Sustainability: A Literature Review," Energies, MDPI, vol. 15(22), pages 1-24, November.
    3. Taraneh Ardalan & Denis Sarazhinsky & Nemanja Dobrota & Aleksandar Stevanovic, 2024. "Investigation of Analyzable Solutions for Left-Turn-Centered Congestion Problems in Urban Grid Networks," Sustainability, MDPI, vol. 16(11), pages 1-24, June.
    4. Maksymilian Mądziel & Tiziana Campisi, 2023. "Investigation of Vehicular Pollutant Emissions at 4-Arm Intersections for the Improvement of Integrated Actions in the Sustainable Urban Mobility Plans (SUMPs)," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    5. Slavica Gavric & Ismet Goksad Erdagi & Aleksandar Stevanovic, 2024. "Environmental Assessment of Incorrect Automated Pedestrian Detection and Common Pedestrian Timing Treatments at Signalized Intersections," Sustainability, MDPI, vol. 16(11), pages 1-21, May.

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