Journal of Embedded Systems & Its Applications ISSN: 3139-2296 (Online)

Authors: Akshay Satish Kumbhar, Kedar Pradip Gosavi, Pruthviraj Bhagavan Shelar, Vinay Vilas Suryawanshi , Mahesh Dattatraya Bhambure

Abstarct: Efficient and convenient transportation within large campuses, such as university campuses or corporate parks, is often a challenge. Existing systems may lack real-time tracking, optimized routing, and effective communication, leading to delays and inconvenience for commuters. This project proposes an IoT-based solution for campus transit, utilizing GPS technology for precise vehicle tracking and an intelligent routing algorithm to optimize routes based on real-time factors such as traffic conditions and passenger demand. This will result in reduced waiting times, improved efficiency, and an enhanced computer experience. The system will include GPS modules on vehicles, a wireless communication network, a central server for data processing and route optimization, and a user-friendly interface for commuters to access real-time information.   

The Internet of Things (IoT) offers promising solutions for real-time tracking and route optimization in campus transit systems. By integrating GPS modules on vehicles, wireless communication networks, and a central server for data processing, IoT-based systems can provide accurate vehicle location data and enable intelligent routing algorithms. GPS technology is widely used for vehicle tracking due to its accuracy and accessibility. Several studies have explored the use of GPS modules in conjunction with microcontrollers and wireless communication networks to track vehicle locations in real-time. This information can be used to provide commuters with accurate arrival times, estimated time of arrival (ETA) updates, and real-time bus locations through a user-friendly interface, such as a mobile application or web portal.   

Intelligent routing algorithms play a crucial role in optimizing campus transit routes based on dynamic factors such as traffic conditions, passenger demand, and vehicle availability. Algorithms such as Dijkstra’s algorithm or search can be implemented to determine the most efficient routes, reducing travel times and minimizing delays. Wireless communication networks, such as Wi-Fi or cellular networks, enable seamless data transmission between vehicles and the central server. The choice of communication technology depends on factors such as campus coverage, bandwidth requirements, and cost considerations.

Keywords: IoT, GPS, Campus Transit, Route Optimization, Real-time Tracking, Automated Geo-location, Wireless Communication, Central Server, User Interface, Smart Transportation Systems.