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Environmental Assessment of Incorrect Automated Pedestrian Detection and Common Pedestrian Timing Treatments at Signalized Intersections

Author

Listed:
  • Slavica Gavric

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

  • Ismet Goksad Erdagi

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

  • Aleksandar Stevanovic

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

Abstract

Existing research has primarily focused on the accuracy of automated pedestrian detection systems, overlooking the consequential environmental impacts arising from false or missed pedestrian detections. To fill these research gaps, this study investigates the emissions and fuel consumption resulting from incorrect pedestrian detection at signalized intersections in microsimulation. To carry out experiments, the authors employ Vissim microsimulation software and the Comprehensive Modal Emission Model (CMEM). For the first time in the literature, missed and false calls are modeled in microsimulation and their environmental impacts are accurately measured. The research highlights the limitations of current automated pedestrian (video) detection systems (APVDSs) technologies in reducing emissions and fuel consumption effectively. While APVDSs offer potential benefits for traffic management, their inability to accurately detect pedestrians undermines their environmental efficacy. This study emphasizes the importance of considering environmental impacts of APVDSs, and challenges the belief that pedestrian recall treatment is the least eco-friendly. Also, the study showed that coupling APVDS or push-button treatments with pedestrian recycle features increases fuel consumption and CO 2 by 10% at the intersections with higher pedestrian demand. By understanding the emissions and fuel consumption associated with incorrect detections, transportation agencies can make more informed decisions regarding the implementation and improvement of APVDS technologies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4487-:d:1401770
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    References listed on IDEAS

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    1. 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.
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