Comparative Study of Pedestrian Critical Gap Estimation Methods at Unsignalized Midblock Crosswalks
This study determines critical gaps using different methods like Raff’s, maximum likelihood (MLM), root-mean-square (RMS), probability equilibrium (PEM), and logit. These are then compared to single out the most appropriate one. Five locations in the western part of India are studied, selected based on type of land use, number of lanes, and carriage-way width. Video cameras were used to capture the mixed-traffic flow and pedestrian crossing movements simultaneously. The results also conclude that logit method is the most appropriate one for estimating critical gap, as it considers the effect of pedestrian behaviour and vehicular characteristics concurrently. The critical gap values vary considerably when pedestrian characteristics are considered. The results are expected to provide inputs for framing design parameters for pedestrian crossing facilities, thereby enhancing pedestrian safety.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789813290419
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Vinayaraj, V S
- Chaudhari, Avinash
- Arkatkar, Shriniwas
- Joshi, Gaurang J
- Parida, Manoranjan
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Conference:
- 4th Conference of Transportation Research Group of India (CTRG 2017)
- Location: Mumbai , India
- Date: 2017-12-17 to 2017-12-20
- Publication Date: 2019-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 151-167
- Monograph Title: Transportation Research: Proceedings of CTRG 2017
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Serial:
- Lecture Notes in Civil Engineering
- Volume: 45
- Publisher: Springer Singapore
- ISSN: 2366-2557
- Serial URL: https://www.springer.com/series/15087
Subject/Index Terms
- TRT Terms: Logits; Midblock crossings; Pedestrian safety
- Geographic Terms: India
- Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01901432
- Record Type: Publication
- ISBN: 9789813290419
- Files: TRIS
- Created Date: Dec 6 2023 11:06AM