Development of an Intelligent Multi-Campus Transportation System Using Wireless Sensor Network
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Abstract
The exponential growth in multi-campus educational institutions like Edo State University, Iyamho, ESUI has created significant transportation challenges, including traffic congestion, inefficient route planning, and inadequate real-time monitoring systems. This paper presents the development of an intelligent multi-campus transportation system leveraging wireless sensor network (WSN) technology to optimize transportation efficiency, reduce operational costs, and enhance user experiences. The proposed system integrates (Internet of Things) IoT sensors, (Global Positioning System) GPS tracking, real-time data analytics, and mobile applications to create a comprehensive transportation management solution. Through simulation and theoretical analysis, the system demonstrates potential improvements of 35% in route optimization, 28% reduction in fuel consumption, and 42% enhancement in passenger satisfaction scores. The research contributes to the emerging field of smart campus transportation by providing a scalable, cost-effective framework that can be adapted across various multi-campus environments.
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