BALANCING CAPACITY, FLEXIBILITY AND RESILIENCE: LESSONS FROM AUTOMATED METRO SYSTEMS FOR FUTURE RAILWAYS

Abstract

Railway and metro systems are traditionally designed to maximize capacity under normal operating conditions. However, increasing automation, reduced headways and higher infrastructure utilization make system behavior under disturbed conditions an increasingly important issue. While conventional railways and automated metro systems pursue the same objective of high capacity, degraded operating conditions manifest differently due to their different levels of operational flexibility. This paper examines the relationship between capacity, degraded operations, operational flexibility and resilience in automated rail systems, using automated metro networks as a representative example of highly optimized rail operations. Particular attention is given to infrastructure-based flexibility mechanisms, especially pocket tracks, which support service recovery and operational adaptation during disturbances. The analysis is based on a comparison of degraded operating conditions in metro and conventional railway systems and on the mechanisms used to maintain service continuity. The analysis shows that degraded operating conditions provide a new perspective for understanding the balance between capacity, operational flexibility and resilience. They further suggest that future railways may increasingly face challenges already encountered in automated metro networks, whose experiences offer valuable lessons for a future design in which balancing capacity, operational flexibility and resilience may become as important as capacity optimization itself.