PathSmart PredictAI: Integrating Advanced Technology and Regression Models for Smart Road Maintenance

The crucial impact in ensuring the transportation safety is road maintenance, including the commercial efficacy and endurance of infrastructure. This investigation presents PathSmart PredictAI (Artificial Intelligence), an extremely pioneering process that influences cutting-edge Internet of Things (IoT)-driven sensors, Artificial Intelligence integrated analytics, and regression-based predictive maintenance on road infracstructure. The Pathsmart Predict AI with RegPath model and Roadsage Model are two main models are proposed for optimized monitoring and recovery statistics on road maintenance. These models are achieved by utilizing innovative canny Internet of Things (IoT) sensors entrenched directly into surfaces of road for continuous monitoring, through load sensors, vibration sensors, and temperature sensors. PathSmart PredictAI accomplishes better efficacy and prognostic accurateness likened to prevailing methodologies. The structure surpasses in diagnosing road dilapidation patterns, empowering proactive upkeep strategies and augmenting resource distribution. This novelty improves operative competence, ensures sophisticated safety canons, and diminishes long-term outlays. Proportional investigation highlights the greater performance of the proposed algorithm over out-of-date methods, coagulating its part as a pioneering resolution for justifiable and intellectual road supervision.