Irfan Ullah, Ahmed Farid, Suresh Muknahallipatna, Khaled Ksaibati
Intersection sight distance (ISD) is a key factor in allowing drivers to make appropriate maneuvering and crossing decisions at intersections, contributing to safer road environments. Limited visibility at intersections has been associated with increased crash occurrences. This paper provides a comprehensive review of various ISD measurement approaches and introduces an improved method to address current shortcomings. Both traditional and modern techniques are examined, including manual surveying, Geographic Information Systems (GIS), Light Detection and Ranging (LiDAR), and simulation-based tools. The review illustrates the advantages and drawbacks of each method, alongside discussing key factors influencing ISD such as road layout, vehicle speeds, and weather variability. In addition, the safety consequences of inadequate ISD are discussed in this paper. A new ISD measurement framework is proposed, which utilizes two vehicles outfitted with Global Positioning System (GPS) units, high-resolution cameras, and vehicle-to-vehicle (V2V) communication systems to gather precise ISD data efficiently. To support the measurement process, a simulated driving environment is used. This novel method is designed to overcome existing challenges in the field by providing improvements in precision, affordability, and practicality. It is expected that this approach may find widespread adoption among transportation engineers.