Impact assessment and mitigation strategies in rail/metro infrastructure with the use of iCrowd simulator

Stelios C. A. Thomopoulos; Christos Kyriakopoulos; Konstantinos Panou

doi:10.1117/12.2630074

8 June 2022 Impact assessment and mitigation strategies in rail/metro infrastructure with the use of iCrowd simulator

Stelios C. A. Thomopoulos, Christos Kyriakopoulos, Konstantinos Panou

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 121221C (2022) https://doi.org/10.1117/12.2630074
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The SAFETY4RAILS² project delivers methods and systems to increase the safety and recovery of track-based inter-city railway and intra-city metro transportation. When an incident occurs during heavy usage, metro and railway operators have to consider many aspects to ensure passenger safety and security. The EU funded project SAFETY4RAILS, aims to improve the handling of such events through a holistic approach by combining a wide range of analytic tools to detect, prevent, mitigate and respond to cyber-physical attacks to railway networks. In the context of assessing the impact on the crowd inside the rail/metro station and its surroundings from a cyberattack against a rail/metro infrastructure and evaluating the effectiveness of mitigation measures in case of an attack, the iCrowd simulation platform is used in conjunction with external modules that simulate the cyber-physical attacks. This paper reports the results and lessons learnt from these simulations and provides an insight on mitigation measures that may be necessary to reduce infrastructure vulnerabilities under different cyber-physical attack scenarios to several different rail/metro infrastructures.

Citation Download Citation

Stelios C. A. Thomopoulos, Christos Kyriakopoulos, and Konstantinos Panou "Impact assessment and mitigation strategies in rail/metro infrastructure with the use of iCrowd simulator", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 121221C (8 June 2022); https://doi.org/10.1117/12.2630074

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