Developing a Proactive Fuzzy-Logic Model for Optimizing Winter Road Maintenance Measures in Cold Urban Areas Using Real-Time Data

Abstract

This research introduces a method for comprehensively optimizing winter road maintenance in urban areas where transportation quality can significantly be affected by adverse climatic conditions. The research is expected to provide help with the following: 1) detecting existing gaps in winter road maintenance, 2) maximizing the efficiency of investments in maintaining the quality of transportation during the cold season, and, 3) improving the safety, comfort, and economy of the residents of affected areas.