DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS

BHUKYA RAJAKUMAR; D KAVYA; P KEERTHI PRIYA; MIRIYALA ISHA SREE; HRITIK KUMAR; M S LAENIN

DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS

April 2025

Vol-11, Issue-2

Paper ID: 26230

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Mass Events Passenger Flow Inflow Prediction Outflow Prediction Random Forest Linear Regression Stacking Regressor XGBoost Regression Event Management Predictive Modeling

Abstract

This project aims to forecast passenger flow for mass events using a Deep Adaptive Feature Fusion approach. By leveraging multiple machine learning algorithms, including Random Forest, Linear Regression, Stacking Regressor, and XGBoost Regression, the system is trained to predict both inflow and outflow of passengers. The model will be trained using historical event data, considering various influencing factors such as time, location, and event type. Based on this input data, the system will predict the number of people likely to attend the event and the estimated outflow, assisting in better crowd management and planning for large-scale events.

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Author Information

#	Name	Institute / Affiliation
1	BHUKYA RAJAKUMAR	Siddharth Institute of Engineering & Technology (SIETK)
2	D KAVYA	Siddharth Institute of Engineering & Technology (SIETK)
3	P KEERTHI PRIYA	Siddharth Institute of Engineering & Technology (SIETK)
4	MIRIYALA ISHA SREE	Siddharth Institute of Engineering & Technology (SIETK)
5	HRITIK KUMAR	Siddharth Institute of Engineering & Technology (SIETK)
6	M S LAENIN	Siddharth Institute of Engineering & Technology (SIETK)

How to Cite

Use the following formats to cite this article in your research.

APA Style

RAJAKUMAR, BHUKYA, KAVYA, D, PRIYA, P KEERTHI, SREE, MIRIYALA ISHA, KUMAR, HRITIK, & LAENIN, M S (2025). DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 2128-2140.

MLA Style

RAJAKUMAR, BHUKYA, et al. "DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 2128-2140.

IEEE Style

BHUKYA RAJAKUMAR, D KAVYA, P KEERTHI PRIYA, MIRIYALA ISHA SREE, HRITIK KUMAR, and M S LAENIN, "DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 2128-2140, 2025.

Vancouver Style

RAJAKUMAR BHUKYA, KAVYA D, PRIYA P KEERTHI, SREE MIRIYALA ISHA, KUMAR HRITIK, LAENIN M S. DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):2128-2140.

Harvard Style

RAJAKUMAR, BHUKYA, KAVYA, D, PRIYA, P KEERTHI, SREE, MIRIYALA ISHA, KUMAR, HRITIK, & LAENIN, M S (2025) 'DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 2128-2140.

Chicago Style

RAJAKUMAR, BHUKYA, et al. "DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2128-2140.

Turabian Style

RAJAKUMAR, BHUKYA, et al. "DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTS." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2128-2140.