Road traffic accidents, excessive speeding, and vehicle overloading remain significant challenges affecting road safety, transportation efficiency, and infrastructure sustainability, particularly in developing countries. Existing vehicle monitoring systems primarily focus on either vehicle tracking or speed monitoring, with limited integration of load sensing capabilities. This study presents the design and development of an integrated vehicle tracking, speed monitoring, and load sensing system for improved road safety and fleet management. The proposed system employs an Microcontroller as the central processing unit, integrated with a GPS module for real-time vehicle tracking and speed estimation, a strain-gauge load cell with an HX711 amplifier for load measurement, and a GSM/Wi-Fi communication module for transmitting operational data to a cloud-based monitoring platform. The system was evaluated under simulated operating conditions using performance metrics including GPS positioning accuracy, speed measurement accuracy, load measurement accuracy, communication latency, and system response time. Experimental results demonstrated an average GPS positioning error of 1.83 m, a speed measurement accuracy of 99.29%, and a load measurement accuracy of 99.82%. The system also achieved 100% detection of speed and overload violations, with real-time transmission of alerts. The findings indicate that the proposed system provides a reliable, low-cost, and scalable solution for intelligent fleet management, regulatory compliance, and road safety enhancement. The developed prototype demonstrates significant potential for deployment in intelligent transportation systems and may serve as a foundation for future integration with artificial intelligence, predictive maintenance, and smart city applications.