Sandip Institute of Technology and Research Centre Real Time Vehicular Telematics System Team Members: Om Dahale Neeraj Adhav Sanket Shivale Abstract To develop a smart transportation system, that aims to provide real-time information to the users regarding the availability of buses and their upcoming timings. The system will utilize advanced technologies such as GPS and other relevant services to gather the necessary data for providing reliable information to the users. The proposed system will have to be designed to facilitate the users in identifying the current location of their desired bus, along with the estimated time of its arrival at the respective bus stop. This will be achieved through the integration of the real-time data from the buses, as well as from the traffic management system. The proposed smart transportation system will significantly enhance the efficiency and convenience of the public transportation system in Nashik. As a sustainability information to the user, good to indicate emission compliance of the bus. Key Objectives 1. Vehicle Tracking and Location: To monitor the real-time location of vehicles, which helps in improving fleet management, routing, and security. 2. Driver Behavior Monitoring: To track and analyze driver behavior, such as speeding, harsh braking, and aggressive driving, in order to promote safer driving habits. 3. Efficient Routing: To suggest optimal routes based on real-time traffic data, reducing fuel consumption and delivery times. 4. Maintenance and Diagnostics: To collect data on vehicle health and performance, enabling proactive maintenance and reducing downtime. 5. Safety and Security: Enhancing vehicle security by providing theft detection and recovery capabilities, as well as emergency assistance services. Benefits of Vehicular Telematics 1. Improved Safety: Telematics systems help monitor and improve driver behavior, reducing accidents and promoting safer driving practices. 2. Cost Reduction: By optimizing routes, fuel usage, and maintenance schedules, businesses can significantly reduce operational costs. 3. Enhanced Productivity: Real-time tracking and data analysis lead to better resource allocation and increased overall productivity. 4. Reduced Downtime: Predictive maintenance and vehicle health monitoring prevent breakdowns, minimizing vehicle downtime. 5. Fuel Efficiency: Telematics systems provide insights into fuel consumption patterns, enabling fuel-efficient driving and cost savings. 6. Better Customer Service: Real-time tracking allows for accurate delivery or service arrival times, improving customer satisfaction. Why Our Solution is Better Than Existing Solutions? 1. Purpose: - Vehicular Telematics Systems: These systems are primarily designed for vehicle monitoring, data collection, and management. They are used for tracking vehicle performance, location, and driver behavior, as well as for fleet management and optimization. - Ola and Uber: Ride-sharing services like Ola and Uber are focused on providing ondemand transportation services to passengers. Their primary goal is to connect riders with drivers for point-to-point transportation. 2. User Interaction: - Vehicular Telematics Systems: These systems are typically used by vehicle fleet operators, logistics companies, and businesses with a fleet of vehicles. Users are mainly businesses or organizations interested in monitoring and optimizing their vehicle operations. - Ola and Uber: These services are consumer-oriented, and their users are passengers looking for rides. They interact with the service through mobile apps to request rides and make payments. 3. Hardware: - Vehicular Telematics Systems: They often require dedicated hardware installed in vehicles, such as OBD-II devices or GPS trackers, to collect data and transmit it to a central system. - Ola and Uber: These services do not require additional vehicle hardware beyond the driver's smartphone, which acts as both a navigation tool and a communication device with passengers and the service provider. 4. Business Model: - Vehicular Telematics Systems: These systems are typically sold as software-asa-service (SaaS) solutions to businesses. They may charge fees based on the number of vehicles being monitored or data usage. - Ola and Uber: They operate on a ride-hailing model, where passengers Route Plan Example Technology Stack 1. Frontend: 2. Backend: 1. React.js 1. Django web framework 2. JavaScript 2. Python 3. HTML, CSS 3. RESTful APIs 3. Database: 1. PostgreSQL 4. Hardware 1. Raspberry Pi 2. GPS sensor Conclusion In conclusion, the adoption of a well-defined vehicular telematics system offers a multitude of benefits to businesses and organizations. It fundamentally transforms fleet management by enhancing safety, reducing costs, and increasing efficiency. Real-time tracking and data-driven insights enable better decisionmaking, while predictive maintenance and improved driver behavior lead to minimized downtime and reduced operational expenses. Moreover, telematics systems contribute to sustainability efforts through fuel efficiency and environmental impact reduction. These advantages collectively empower businesses to provide better customer service, remain compliant with regulations, and ultimately gain a competitive edge in today's dynamic and datacentric automotive landscape. References D. G. N. D. Jayarathna, G. H. J. Lanel & Z. A. M. S. Juman ” Industrial vehicle routing problem: a case study” Journal of Shipping and Trade https://doi.org/10.1186/s41072-022-00108-7 19 February 2022. Sai Chandana Kaja “A New Approach for Solving the Disruption in Vehicle Routing Problem During the Delivery” N. Tejaswi, “Performance analysis on hybrid and exactmethods for solving clustered vrp: A comparative study on vrp algorithms,” 2017 P. S. S. Bisen, “Predicting operator’s choice during airline disruption using machine learning methods,” 2019