Current Status of Passenger Flow and Bus Movement from Digboi, Tinsukia District, Assam

The topic regarding the status of passenger flow and movement of buses from Digboi lies in the realm of public transportation efficiency and management. Understanding passenger flow patterns and bus movements is crucial for optimizing bus schedules, resource allocation, and revenue estimation in the transportation system. By predicting passenger flow accurately, authorities can enhance service quality, reduce delays, and improve overall operational efficiency. The use of advanced techniques like deep learning with recurrent neutral networks allows for precise forecasting of passenger numbers at different bus stops, aiding in better planning and decision-making for bus services. Digboi's present public transport system mostly comprises buses and minivans, which provide access inside the town and connect it to other parts of the state. This predictive analysis not only benefits passengers by providing more reliable and timely services but also assists transport departments in optimizing routes, schedules, and resource allocation to meet the demands of passengers effectively. The study reveals that because the frequency of buses between Digboi and Duliajan is relatively low, passengers would have to wait for a long period.

Authors

Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.120700116
Primary Topic
South Asian Studies and Conflicts
Type
article
Field-Weighted Citation Impact
0.00
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article

Current Status of Passenger Flow and Bus Movement from Digboi, Tinsukia District, Assam

Sangeeta Boruah Saikia
International journal of research and scientific innovation
South Asian Studies and Conflicts
article

Current Status of Passenger Flow and Bus Movement from Digboi, Tinsukia District, Assam

Sangeeta Boruah Saikia
article en

Abstract

The topic regarding the status of passenger flow and movement of buses from Digboi lies in the realm of public transportation efficiency and management. Understanding passenger flow patterns and bus movements is crucial for optimizing bus schedules, resource allocation, and revenue estimation in the transportation system. By predicting passenger flow accurately, authorities can enhance service quality, reduce delays, and improve overall operational efficiency. The use of advanced techniques like deep learning with recurrent neutral networks allows for precise forecasting of passenger numbers at different bus stops, aiding in better planning and decision-making for bus services. Digboi's present public transport system mostly comprises buses and minivans, which provide access inside the town and connect it to other parts of the state. This predictive analysis not only benefits passengers by providing more reliable and timely services but also assists transport departments in optimizing routes, schedules, and resource allocation to meet the demands of passengers effectively. The study reveals that because the frequency of buses between Digboi and Duliajan is relatively low, passengers would have to wait for a long period.

International journal of research and scientific innovationVol. XII(VII)
Openalex Percentile: Top 76%
South Asian Studies and Conflicts
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