@article{10.11648/j.ajtte.20251006.13,
  author = {Partha Majumdar},
  title = {A Framework for the TTE-less Railway: An End-to-end Operational Model for Automated Verification, Passenger Safety, and Service Management},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {10},
  number = {6},
  pages = {168-182},
  doi = {10.11648/j.ajtte.20251006.13},
  url = {https://doi.org/10.11648/j.ajtte.20251006.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20251006.13},
  abstract = {This analysis presents a comprehensive, end-to-end operational model for a railway system without Travelling Ticket Examiners (TTEs), arguing that a simple technology replacement for ticket checking is fundamentally flawed. An operational deconstruction reveals the TTE's primary functions are not enforcement but the management of on-board safety, security, and passenger service, which cannot be automated. Consequently, a successful solution must be an integrated, four-part socio-technical system. The first phase, Automated Perimeter Control, establishes station-level access using a matrix of validation technologies from NFC smartcards to biometric gateways. Still, this model fails in open networks with unstaffed platforms. To address this, the second phase introduces the 'Intelligent Carriage', a layer of in-transit monitoring using service-specific technology: IoT-based seat sensor grids with passenger-facing "traffic light" indicators for reserved-seating trains, and privacy-compliant, anonymous AI-driven Automated Passenger Counting for unreserved commuter cars. The third phase is the 'Central Nervous System', a high-concurrency, real-time data architecture modelled on China’s Passenger Service Record (PSR) system. This "brain" fuses live sensor feeds with the ticketing database to create an automated exception-handling system, flagging discrepancies like an "occupied but unbooked" seat. The final, critical phase addresses the non-automatable human element. It proposes that the TTE-less train is not unstaffed; instead, the enforcement-focused TTE is replaced by a service-and-safety-focused 'Passenger Welcome Host'. This new role does not proactively check tickets but responds only to system-generated alerts, while primarily focusing on high-value tasks such as passenger assistance, accessibility services, conflict de-escalation, and emergency response. This framework mandates robust solutions to bridge the digital divide for unbanked or non-smartphone users through cash-accepting kiosks. The business case shifts from labour savings to achieving near-total revenue protection, enhanced operational efficiency through rich data streams, and improved passenger throughput.},
 year = {2025}
}

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TY  - JOUR
T1  - A Framework for the TTE-less Railway: An End-to-end Operational Model for Automated Verification, Passenger Safety, and Service Management
AU  - Partha Majumdar
Y1  - 2025/12/31
PY  - 2025
N1  - https://doi.org/10.11648/j.ajtte.20251006.13
DO  - 10.11648/j.ajtte.20251006.13
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 168
EP  - 182
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20251006.13
AB  - This analysis presents a comprehensive, end-to-end operational model for a railway system without Travelling Ticket Examiners (TTEs), arguing that a simple technology replacement for ticket checking is fundamentally flawed. An operational deconstruction reveals the TTE's primary functions are not enforcement but the management of on-board safety, security, and passenger service, which cannot be automated. Consequently, a successful solution must be an integrated, four-part socio-technical system. The first phase, Automated Perimeter Control, establishes station-level access using a matrix of validation technologies from NFC smartcards to biometric gateways. Still, this model fails in open networks with unstaffed platforms. To address this, the second phase introduces the 'Intelligent Carriage', a layer of in-transit monitoring using service-specific technology: IoT-based seat sensor grids with passenger-facing "traffic light" indicators for reserved-seating trains, and privacy-compliant, anonymous AI-driven Automated Passenger Counting for unreserved commuter cars. The third phase is the 'Central Nervous System', a high-concurrency, real-time data architecture modelled on China’s Passenger Service Record (PSR) system. This "brain" fuses live sensor feeds with the ticketing database to create an automated exception-handling system, flagging discrepancies like an "occupied but unbooked" seat. The final, critical phase addresses the non-automatable human element. It proposes that the TTE-less train is not unstaffed; instead, the enforcement-focused TTE is replaced by a service-and-safety-focused 'Passenger Welcome Host'. This new role does not proactively check tickets but responds only to system-generated alerts, while primarily focusing on high-value tasks such as passenger assistance, accessibility services, conflict de-escalation, and emergency response. This framework mandates robust solutions to bridge the digital divide for unbanked or non-smartphone users through cash-accepting kiosks. The business case shifts from labour savings to achieving near-total revenue protection, enhanced operational efficiency through rich data streams, and improved passenger throughput.
VL  - 10
IS  - 6
ER  - 

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