Cloud-Based Telematics in Commercial Fleet Management: An Integrated Approach to Vehicle Connectivity (Published)
This article examines the transformative role of cloud-based telematics in commercial fleet management, highlighting the integration of Internet of Things technology with vehicle operations. The comprehensive framework details the technical architecture supporting vehicle-to-cloud connectivity, including hardware integration, data transmission protocols, and hybrid connectivity solutions. Advanced fleet analytics capabilities are explored through predictive maintenance algorithms, route optimization methodologies, and driver behavior analysis systems that enable proactive operational strategies. The article further evaluates sophisticated dashboard interfaces and management tools that facilitate real-time monitoring, alert configuration, and historical data analysis. Quantifiable business outcomes are assessed across operational cost reduction, efficiency improvements, and environmental impact dimensions, demonstrating how connected vehicle technologies deliver tangible value while advancing sustainability objectives. This integrated approach illustrates the evolutionary shift from experience-based to data-driven fleet management practices across diverse commercial applications.
Keywords: Cloud-based telematics, Predictive Maintenance, operational intelligence, route optimization, vehicle-to-cloud connectivity
Leveraging Supply Chain Digital Twins: Advanced Route Optimization for Enhanced Lead Time Predictability (Published)
Digital Twin technology has emerged as a transformative force in supply chain management, particularly in the optimization of transit routes through enhanced Control Tower capabilities. The integration of these sophisticated systems enables organizations to create virtual replicas of their physical supply chain networks, facilitating comprehensive monitoring, advanced analytics, and dynamic decision-making processes. Through variance-based route optimization, organizations can prioritize consistency and predictability over raw speed, leading to substantial improvements in delivery reliability and operational efficiency. The implementation of digital twins in supply chain control towers has demonstrated significant benefits across multiple dimensions, including inventory optimization, enhanced customer service, cost reduction, and improved supply chain resilience. By leveraging real-time data integration and advanced analytics, these systems enable proactive risk mitigation and dynamic routing adjustments, fundamentally transforming how organizations manage their supply chain operations. The continuous evolution of digital twin technology, particularly through enhanced AI integration and IoT connectivity, promises to further revolutionize supply chain management practices.
Keywords: Real-time Analytics, digital twin technology, route optimization, supply chain control towers, supply chain resilience
Development of Models for Ticketing in Public Transportation System in Nigeria (Published)
Transportation is a system that humans use to carrying out their day-to-day activities. In the bid to do activities, transportation by any means has to be used. In the public transportation system, they use the manual or traditional method to process ticketing. This causes many flaws such as long queues, communication gap, miscalculation of tickets, improper records of commuters’ information etc. For commuters to gain a convenient platform for bus reservations, real-time information updates, and a smoother experience; and for the companies to benefit from automated reservations, improved communication, and data-driven insights for better decision- making, there is need to develop a model for ticketing in public transportation system. The models for ticketing in urban transportation system have methods that involve pricing algorithm and route algorithm where scaling factors and user capacity planning models are calculated. With the introduction of the ticketing model in transportation system, existing challenges in urban mobility are revolutionized. The intersection of technology and transportation are positioned in such a way that the model seeks to enhance the overall commuter experience seamlessly by integrating reservation processes, real-time updates, amount payable, time and date of travels and communication between branches. The study envisions a shift towards a more accessible, efficient, and user-centred urban transportation system. It represents a transformative catalyst in transportation system especially by land/roads which are being used by automobiles (buses, cars, tricycle etc).
Keywords: Model, Transportation, average time, route optimization