Optimizing City Transit: IoT and Gradient Boosting Algorithms for Accurate Bus Arrival Predictions

Author:

Shanthi S.1,Maruthu Kannan B.2,S Giriprasad.3,Babuji R.4,Sivakumar S.5,Malathi N.6

Affiliation:

1. CARE College of Engineering,Department of Electronics and Communication Engineering,Tiruchirappalli,Tamilnadu,India

2. Sphoorthy Engineering College,Department of Computer Science and Engineering,Hyderabad,Telangana,India

3. SRM Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

4. R.M.K. Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

5. Thanthai Hans Roever College (Autonomous),Department of Computer Science,Perambalur,Tamil Nadu,India

6. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Reference15 articles.

1. A Sequence and Network Embedding Method for Bus Arrival Time Prediction Using GPS Trajectory Data Only

2. Photovoltaic Powered Fuzzy Algorithm for IoT-Monitored Four Switch Induction Motor Drive

3. Web-Based Application For Bus Tracking And Management;Ahmed;International Research Journal of Modernization in Engineering Technology and Science,2023

4. Raspberry Pi-Enabled Wearable Sensors for Personal Health Tracking and Analysis

5. Evaluation of Applicability and Accuracy of Bus Travel Time Prediction in High and Low Frequency Bus Routes Using TreeBased ML Techniques;Moosavi;Journal of Soft Computing in Civil Engineering,2023

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