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 re...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2020-03-01
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| Series: | Transport |
| Subjects: | |
| Online Access: | https://www.mla.vgtu.lt/index.php/Transport/article/view/12157 |
| _version_ | 1818777528034131968 |
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| author | Sankaran Marisamynathan Perumal Vedagiri |
| author_facet | Sankaran Marisamynathan Perumal Vedagiri |
| author_sort | Sankaran Marisamynathan |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-18T11:30:15Z |
| format | Article |
| id | doaj.art-17ae923b1dca4e84b394f33f29dd4807 |
| institution | Directory Open Access Journal |
| issn | 1648-4142 1648-3480 |
| language | English |
| last_indexed | 2024-12-18T11:30:15Z |
| publishDate | 2020-03-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Transport |
| spelling | doaj.art-17ae923b1dca4e84b394f33f29dd48072022-12-21T21:09:36ZengVilnius 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, IndiaThe 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 |
| spellingShingle | Sankaran Marisamynathan Perumal Vedagiri Pedestrian safety evaluation of signalized intersections using surrogate safety measures Transport pedestrian signalized intersection crosswalk safety post encroachment time |
| title | 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_short | Pedestrian safety evaluation of signalized intersections using surrogate safety measures |
| title_sort | pedestrian safety evaluation of signalized intersections using surrogate safety measures |
| 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 |