Communications - Scientific Letters of the University of Zilina 2025, 27(1):D25-D37 | DOI: 10.26552/com.C.2025.010

Development of Pedestrian Level of Service (PLOS) for Jaywalking Pedestrians at Unsignalised Intersections on Urban Arterials Using Ann &Amp; Clustering: A Case Study in India

Ampereza Ankunda, Malaya Mohanty ORCID...*, Satya Ranjan Samal ORCID...
KIIT Deemed to be University Bhubaneswar, Odisha, India

In a developing country like India where jaywalking is prevalent than using designated crosswalks, pedestrian safety is a major concern. Development of pedestrian level of service (PLOS) is essential for monitoring pedestrian safety for these manoeuvres. The present research incorporates a new methodology to evaluate pedestrian LOS for jaywalkers. The study is conducted in a smart city of Bhubaneswar in India. The pedestrian crossing speeds ranged from 0.6 to 1.4 m/s. Artificial Neural Networks (ANN) are used to determine the pedestrian crossing speeds from vehicular and pedestrian counts whose outputs are close to the field data. A 2-step K-means clustering technique is employed to determine the Pedestrian LOS ranges based on pedestrian crossing speeds. Urban planners, transportation engineers, and legislators can use the methodology to determine PLOS levels to create the pedestrian-friendly infrastructure.

Keywords: pedestrian safety, PLOS, jaywalking, ANN, clustering, unsignalized intersection
Grants and funding:

The authors received no financial support for the research, authorship and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: July 31, 2024; Accepted: November 7, 2024; Prepublished online: November 27, 2024; Published: January 2, 2025  Show citation

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Ankunda, A., Mohanty, M., & Ranjan Samal, S. (2025). Development of Pedestrian Level of Service (PLOS) for Jaywalking Pedestrians at Unsignalised Intersections on Urban Arterials Using Ann &Amp; Clustering: A Case Study in India. Communications - Scientific Letters of the University of Zilina, 27(1), D25-37. doi: 10.26552/com.C.2025.010
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