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Detection of Crash Black Spots for Indian Traffic Conditions Using MoRTH-Based Sliding Window Method

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
K. Jamal
Sumina Zakeer
S. P. Anusha
Jerrin Thomas Panachakel
Published in
Traffic Management, Operation, Safety and Emerging Technology
Publisher
Springer Nature Singapore

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Abstract

This study focuses on the identification and analysis of crash black spots on Indian roads, particularly on National Highway 66 in Kollam district. The research employs a sliding window method based on MoRTH guidelines to detect high-risk areas, comparing it with traditional fixed-segment methods. Key findings include the identification of 162 black spots using the sliding window method, nearly twice as many as the 87 identified by the conventional method. The study also explores influential factors such as gender disparity in crash causes, weather conditions, and temporal distribution of crashes. The integration of GIS technology enhances the accuracy and efficiency of black spot detection, providing valuable insights for targeted road safety interventions. The comparative analysis highlights the strengths and limitations of both methods, suggesting a combined approach for more comprehensive road safety improvements.
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previous chapter Assessment of Geometric Enhancements at Intersections on National Highway Using Microsimulation Approach
next chapter A Cost-Effective Smartphone Application for Enhancing Road Safety Through Speed Monitoring
Title
Detection of Crash Black Spots for Indian Traffic Conditions Using MoRTH-Based Sliding Window Method
Authors
K. Jamal
Sumina Zakeer
S. P. Anusha
Jerrin Thomas Panachakel
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Traffic Management, Operation, Safety and Emerging Technology

Print ISBN: 978-981-9681-17-4

Electronic ISBN: 978-981-9681-18-1

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-8118-1_21
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