On the Resilience of Traffic Networks under Non-Equilibrium Learning
On the Resilience of Traffic Networks under Non-Equilibrium Learning
We investigate the resilience of learning-based Intelligent Navigation Systems (INS) to informational flow attacks, which exploit the vulnerabilities of IT infrastructure and manipulate traffic condition data. To this end, we propose the notion of Wardrop Non-Equilibrium Solution (WANES), which captures the finite-time behavior of dynamic traffic flow adaptation under a …