Pedestrian safety evaluation of signalized intersections using surrogate safety measures

The large proportions of pedestrian fatalities led researchers to make the improvements of pedestrian safety at intersections. Thus, this paper proposes a methodology to evaluate crosswalk safety at signalized intersections using Surrogate Safety Measures (SSM) under mixed traffic conditions. The r...

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Main Authors: Sankaran Marisamynathan, Perumal Vedagiri
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2020-03-01
Series:Transport
Subjects:
Online Access:https://www.mla.vgtu.lt/index.php/Transport/article/view/12157
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spelling doaj-17ae923b1dca4e84b394f33f29dd48072021-07-02T16:46:30ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802020-03-0135110.3846/transport.2020.12157Pedestrian safety evaluation of signalized intersections using surrogate safety measuresSankaran Marisamynathan0Perumal Vedagiri1Dept of Civil Engineering, National Institute of Technology Tiruchirappalli, IndiaDept of Civil Engineering, Indian Institute of Technology Bombay, India The large proportions of pedestrian fatalities led researchers to make the improvements of pedestrian safety at intersections. Thus, this paper proposes a methodology to evaluate crosswalk safety at signalized intersections using Surrogate Safety Measures (SSM) under mixed traffic conditions. The required pedestrian, traffic, and geometric data were extracted based on the videographic survey conducted at signalized intersections in Mumbai (India). Post Encroachment Time (PET) for each pedestrian were segregated into three categories for estimating pedestrian–vehicle interactions and Cumulative Frequency Distribution (CDF) was plotted to calculate the threshold values for each interaction severity level. The Cumulative Logistic Regression (CLR) model was developed to predict the pedestrian mean PET values in the cross-walk at signalized intersections. The proposed model was validated with a new signalized intersection and the results were shown that the proposed PET ranges and model appropriate for Indian mixed traffic conditions. To assess the suitability of model framework, model transferability was carried out with data collected at signalized intersection in Kolkata (India). Finally, this study can be helpful to rank the severity level of pedestrian safety in the crosswalk and improve the existing facilities at signalized intersections. https://www.mla.vgtu.lt/index.php/Transport/article/view/12157pedestriansignalized intersectioncrosswalksafetypost encroachment time
collection DOAJ
language English
format Article
sources DOAJ
author Sankaran Marisamynathan
Perumal Vedagiri
spellingShingle Sankaran Marisamynathan
Perumal Vedagiri
Pedestrian safety evaluation of signalized intersections using surrogate safety measures
Transport
pedestrian
signalized intersection
crosswalk
safety
post encroachment time
author_facet Sankaran Marisamynathan
Perumal Vedagiri
author_sort Sankaran Marisamynathan
title Pedestrian safety evaluation of signalized intersections using surrogate safety measures
title_short Pedestrian safety evaluation of signalized intersections using surrogate safety measures
title_full Pedestrian safety evaluation of signalized intersections using surrogate safety measures
title_fullStr Pedestrian safety evaluation of signalized intersections using surrogate safety measures
title_full_unstemmed Pedestrian safety evaluation of signalized intersections using surrogate safety measures
title_sort pedestrian safety evaluation of signalized intersections using surrogate safety measures
publisher Vilnius Gediminas Technical University
series Transport
issn 1648-4142
1648-3480
publishDate 2020-03-01
description The large proportions of pedestrian fatalities led researchers to make the improvements of pedestrian safety at intersections. Thus, this paper proposes a methodology to evaluate crosswalk safety at signalized intersections using Surrogate Safety Measures (SSM) under mixed traffic conditions. The required pedestrian, traffic, and geometric data were extracted based on the videographic survey conducted at signalized intersections in Mumbai (India). Post Encroachment Time (PET) for each pedestrian were segregated into three categories for estimating pedestrian–vehicle interactions and Cumulative Frequency Distribution (CDF) was plotted to calculate the threshold values for each interaction severity level. The Cumulative Logistic Regression (CLR) model was developed to predict the pedestrian mean PET values in the cross-walk at signalized intersections. The proposed model was validated with a new signalized intersection and the results were shown that the proposed PET ranges and model appropriate for Indian mixed traffic conditions. To assess the suitability of model framework, model transferability was carried out with data collected at signalized intersection in Kolkata (India). Finally, this study can be helpful to rank the severity level of pedestrian safety in the crosswalk and improve the existing facilities at signalized intersections.
topic pedestrian
signalized intersection
crosswalk
safety
post encroachment time
url https://www.mla.vgtu.lt/index.php/Transport/article/view/12157
work_keys_str_mv AT sankaranmarisamynathan pedestriansafetyevaluationofsignalizedintersectionsusingsurrogatesafetymeasures
AT perumalvedagiri pedestriansafetyevaluationofsignalizedintersectionsusingsurrogatesafetymeasures
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