KMT Prawas App: Smart Bus Transit Scheduler

An app for Kolhapur local bus transport called KMT.

1. KMT Smart Bus Tra nsit Scheduler

2. Problem Statement Current Challenges : The KMT bus system faces several challenges, including long wait times, crowded buses, and infrequent service. Route optimization and efficient scheduling are critical areas for improvement. Need for Improvement : Developing a app for KMT for Kolhapur city by Using Real-Time Data and Smart Route Planning to Fix Unpredictable Schedules and Make Travel Easier for Users

3. 5 6 3 1 4 2 List of Modules User Interface (UI) Module Data Management and Analytics Module Route Planning and Optimization Module Scheduling and Timetabling Module User Management Module Feedback and Support Module

4. Literature Review/Background Paper: "Integrated Optimization for Commuting Customized Bus Stop Planning, Routing Design, and Timetable Development With Passenger Spatial-Temporal Accessibility" Authors : Xi Chen, Yinhai Wang, Xiaolei Ma Conference : IEEE, 2021 Summary : This paper focuses on improving bus stop locations, routes, and schedules. It aims to make public transit more efficient by considering how passengers move through time and space..

5. Paper: "Online Scheduling and Route Planning for Shared Buses in Urban Traffic Networks" Authors : Zhaolong Ning , Shouming Sun, MengChu Zhou, et al. Conference : IEEE Transactions on Intelligent Transportation Systems, 2021 Summary : This paper looks at how to make bus systems smarter by planning routes and schedules in real-time, based on traffic conditions. It helps buses use resources better and avoid delays. Paper : "DEPART: Dynamic Route Planning in Stochastic Time-Dependent Public Transit Networks" Authors : Peng Ni, Hoang Tam Vo, Daniel Dahlmeier , et al. Conference : IEEE International Conference on Intelligent Transportation Systems, 2015 Summary : This paper focuses on making bus routes flexible. It suggests using real-time data to adjust bus routes when traffic or other unexpected issues happen, improving overall service reliability.

6. Methodology 1 3 4 5 2 Development Environment - Integrated Development Environment (IDE): - Android Studio : For native Android app development. - Visual Studio Code : Lightweight option for web and front-end development. Backend Framework - Firebase: It provides a set of cloud based services that handles backend functionalities. Database - Cloud Firestore : It is a cloud-based NoSQL database that enables real-time data synchronization and storage for scalable applications.. API & Web Services - Google Maps API : For mapping, route planning, and bus tracking functionalities. Algorithms - Shortest Path Algorithms: - Dijkstra’s Algorithm: For finding the shortest travel route. - A* Algorithm: A more efficient approach for large graphs using heuristics.

7. Outline of Proposed Work 1 System Architecture Design Develop a comprehensive architecture diagram for the Smart Bus Transit system, encompassing all key components and their interactions. 2 Module Development Create and implement individual software modules for scheduling, routing, real-time data collection, and passenger information systems. 3 Integration and Testing Integrate developed modules, perform rigorous testing, and ensure seamless operation of the Smart Bus Transit system. 4 Deployment and Evaluation Deploy the system across KMT's operations, monitor performance, gather user feedback, and make necessary adjustments.

8. Challenges Identified 1 2 3 4 -Lack of Real-Time Data -Passengers are unable to track bus locations or estimated arrival times. -Inefficient Route Planning -Current routes are not optimized for traffic patterns or passenger demand. -Limited Scheduling Flexibility -Buses often run on fixed schedules, making it difficult to an unexcepted error. -Lack of User-Friendly Interfaces -Current information systems are not accessible or intuitive for passengers.

9. 1 Enhance User Experience Improve user interface, provide more information 2 Expand System Capabilities Integrate real-time traffic updates and dynamic pricing 3 Promote Sustainable Transit Encourage eco-friendly travel choices and partnerships. Future Scope and Recommendations

10. Conclusion KMT: Smart Bus Transit Scheduler & Route Planner offers a practical solution for urban transportation, enabling easy navigation through optimal route planning and real-time tracking. With future AI integration, multi-modal support, and global scalability, it aims to deliver a reliable, sustainable transit experience for riders.