Volume no :
10 |
Issue no :
1
Article Type :
Google Scholar
Author :
C.E. Rajaprabha, Abhinav R, Abhinav V, Anju Merin Jacob, Balaji S
Published Date :
01 - April - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 7
Abstract : The rapid and non-linear trajectory of global urbanization has disproportionately impacted Tier-II cities such as Coimbatore, where the existing physical infrastructure struggles to keep pace with the exponential surge in population density and the subsequent demand for reliable public transportation systems. In these developing urban landscapes, bus-based public transit remains the lifeblood of socioeconomic mobility, facilitating the movement of thousands of students, industrial workers, and daily-wage earners; however, this vital artery is currently plagued by a systemic failure known as information asymmetry, where a complete lack of real-time visibility into vehicle locations leads to profound passenger dissatisfaction, chronic "waiting anxiety," and significant economic leakage due to lost man-hours. Traditional transit management models in such regions rely heavily on static, paper-based scheduling paradigms that are fundamentally incapable of accounting for the dynamic variables of modern urban environments, such as unpredictable traffic congestion at major junctions like GandhiPuram or Ukkadam, sudden mechanical failures, or the "ghost bus" phenomenon where scheduled trips are cancelled without any communication to the waiting public.
Keyword Real-Time Tracking, Fleet Management, Flutter Framework, Background Services, Android 14 Constraints, Supabase WebSockets, Urban Mobility, Small Cities Transit, Data Synchronization, Location Broadcasting, Bilingual Accessibility.
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