Evaluation of visibility at intersections without traffic lights using point cloud data

Shuhei Kaneko; Haruto Sasaki; Kazuyuki Takada

Previous Article in event

Quantifying Construction and Demolition Waste Generation and Assessing the Recovery and Recycling Potential to Reduce Raw Material and Energy Consumption to promote Responsible Production and Consumption through the Principles of Circular Economy: An Analysis of 12 City Corporations in Bangladesh

Previous Article in session

A Study on Vertical Urban Developments of Tokyo

Next Article in event

Short-term associations of diarrhoeal diseases with temperature and precipitation: a multi-country study in Asia and Africa

Next Article in session

Assessing Flood Risk Impacts Using Earth Observation Technique in Sylhet

Evaluation of visibility at intersections without traffic lights using point cloud data

Shuhei Kaneko

Haruto Sasaki

Kazuyuki Takada

¹ Tokyo Denki University

Academic Editor: Wataru Takeuchi

Published: 17 April 2024 by MDPI in OHOW 2023 – The 2nd International Symposium on One Health, One World session Urban Safety & Disaster Mitigation

Abstract:

Intersections with low visibility are places where there is a high risk of road traffic accidents.
Particularly at intersections on residential areas, roadside trees, hedges, guardrails and fences often obstruct visibility.
This study attempted to develop an evaluation method for visibility using 3D point cloud data for intersections without traffic lights.

Keywords: Point Cloud Data, Visibility of intersection, Residential road

0 Reads
0 Recommendations

Comments on this paper

Rose Black

24 July 2024

Thank you for providing information Death By AI about the method for assessing visibility at intersections using 3D point cloud data, which is very useful for improving traffic safety in areas with poor visibility.

Shuhei Kaneko

Haruto Sasaki

Kazuyuki Takada