Application of Digital Technology for Evaluation of Large-Scale Road Infrastructure Investment Projects

Abstract

Assuring the quality of road infrastructure system is the main element for enhancing economic competitiveness of the nation. In each year, road authorities are continuously performing large-scale road infrastructure investment projects. Such projects must resolve the key performance indexes with regards to the national strategy including the reduction of logistic costs, the reduction of road fatalities, and the reduction of GHG emission accrued from road infrastructure projects. Thus, evaluating the effectiveness of
large-scale road infrastructure projects is very essential for road authorities to improve the operational, safety, and environmental impacts. This study aimed to introduce digital technology for monitoring and evaluating the performance of large-scale road infrastructure projects. The study applied Internet of Things (IoT), Artificial Intelligence (AI), and video analytics technologies for collecting data, managing big data, and analyze data relevant to the project performances. Such data include traffic volume, vehicle speed, traffic conflict, risks of accident, and air pollution. This study selected the rural road Pathum Thani 3004 as a case study to implement and present the potential of the innovation technology in evaluating large-scale road infrastructure projects.