Improving Traffic Sign Management: Creating an Indian Specific-Asset Management System
Payal Singh1, Dr. R.R.L.Birali2, Akhand Pratap Singh3
M.Tech.Scholar1, Department of Civil Engineering, Shri Rawatpura Sarkar University, Raipur
Chhattisgarh, India
Professor2, Department of Civil Engineering, Shri Rawatpura Sarkar University, Raipur
Chhattisgarh, India
Assistant Professor3, Department of Civil Engineering, Shri Rawatpura Sarkar University, Raipur, Chhattisgarh, India
Abstract
Asset management is a systematic process focused on maintaining, upgrading, and operating assets effectively. Numerous agencies have adopted asset management principles as a strategic tool to define goals and prioritize resources for decision-making. In the realm of road asset management, key components include bridges, traffic signs, pavement markings, and culverts.
This project aims to develop a comprehensive Traffic Sign Asset Management System tailored for the Indian context. The core of this system involves a visual nighttime inspection method to assess the retro-reflectivity of traffic signs. Regular nighttime surveys will be conducted using vehicle high beam lights to evaluate the visibility of each sign. Signs failing to meet visibility standards will be identified, and maintenance or replacement actions will be recommended accordingly.
The study highlights the importance of integrating asset management programs into decision-making processes. It includes a detailed cost analysis of each traffic sign, covering both manufacturing and maintenance costs. The project also involves recording the latitude and longitude of each sign, creating a detailed map using ArcGIS to plot the exact positions of all traffic signs.
Key findings of the study emphasize the need for formal asset management programs to improve traffic sign visibility and maintenance. This research provides a foundational framework for establishing a traffic sign asset management system in India, ensuring that traffic signs are adequately maintained and managed for optimal road safety.
Keywords: Asset Management, Traffic Signs, Management Methods, ArcGIS, Cost Analysis, Retro-reflectivity
