Easiway: A Gradient Boosting–Driven Predictive Framework for Intelligent and Sustainable Bus Transit Systems
Abstract
Accurate arrival time estimation and demand aware vehicle allocation are foundational for a dependable public transit experience. This paper presents Easiway, an end-to-end learning-based framework for stop level ETA prediction and near-term demand estimation aimed at for campus and urban bus fleets. The design is intentionally software first: models are trained on historical GPS traces and route metadata, while the architecture supports later integration with IoT telemetry (GNSS trackers, OBD-II, passenger counters). We evaluate Linear Regression, Support Vector Regression, Random Forest, and Gradient Boosting on a realistic synthesized dataset. Gradient Boosting (our proposed model) attains the best performance (MAPE 6.7%, RMSE 1.92 minutes, R2= 0.95), demonstrates resilience against missing telemetry, and provides a practical path for field pilots. The manuscript follows the exact structure of the provided reference-style conference paper: problem identification, literature survey, proposed methodology, algorithmic details, results, and deployment considerations.
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Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning
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Filtering Techniques for ADS-B Trajectory Preprocessing
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Bus Tracking System With IoT Integration
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Hybrid NLP framework for enhanced sentiment analysis and topic detection on YouTube
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- Authors
- Babu, B. R., Yaswanth Sai Ram, C., Manoj, C., Venkatesh, G., Chandra, G. T., & Mohitha, C.
- Affiliations
- Sir C R Reddy College of Engineering,Department of Information Technology,Vatluru,Andhra Pradesh,India
- Venue
- 2025 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
- Publisher
- IEEE
- Published
- 2025-12-15
- Pages
- 1356-1360
- OpenAlex
- W7117883398
- Semantic Scholar
- efccfcf8388df09073d613e902c1559114fe74ce
- Cited by
- 0
- References
- 10
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Urban Transport Systems Analysis
- Keywords
- bus arrival time estimation, transit operations, gradient boosting, GPS tracking, OBD-II, IoT telemetry, urban bus transport
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