Sanjukta Mohanty1,*, Aditya Aswajeet Nayak2, Prassannajeet Pradhan3, Subrat Kumar Sahoo4, Sonali Beura5
Sanjukta Mohanty
1 Odisha University of Technology and Research, Computer Science and Engineering, Bhubaneswar, Odisha, and India
2 Odisha University of Technology and Research, Computer Science and Engineering, Bhubaneswar, Odisha, and India
3 Odisha University of Technology and Research, Computer Science and Engineering, Bhubaneswar, Odisha, and India
4 Odisha University of Technology and Research, Computer Science and Engineering, Bhubaneswar, Odisha, and India [email protected]
5 Odisha University of Technology and Research, Computer Science and Engineering, Bhubaneswar, Odisha, and India [email protected]
*Corresponding Author: Sanjukta Mohanty, Email: [email protected]
In the realm of modern transportation, the ability to access real-time information has revolutionized the way people navigate their daily commutes. This thesis delves into the realm of live tracking and its pivotal role in enhancing the public bus transportation experience. The core of this research centers around the development and implementation of a real-time bus tracking and arrival time estimation system. Leveraging cutting-edge technologies such as GPS, Google Maps API, and real-time analytics, this system provides users with dynamic, on-the-spot information about bus locations and estimated arrival times. The algorithms employed in this system are designed with inspiration from greedy algorithms, focusing on making locally optimal decisions to ensure real-time effectiveness. The user-centric web-based application seamlessly interfaces with the central control unit and driver's smartphones, offering a holistic solution for both end-users and administrators. This research unfolds the intricacies of heuristic algorithms in the context of real-time transportation systems, ultimately enhancing the efficiency and convenience of public bus services.
Greedy Approach, Bus Tracking, GPS, Google Maps, Internet of Things
Sanjukta Mohanty, Aditya Aswajeet Nayak, Prassannajeet Pradhan, Subrat Kumar Sahoo, Sonali Beura (2024). Live Bus Tracking Using Greedy-Based Approach. Journal of Artificial Intelligence and Systems, 6, 188–200. https://doi.org/10.33969/AIS.2024060113.
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