  Global infrastructure robustness and local transport efficiency are critical
requirements for transportation networks. However, since passengers often
travel greedily to maximize their own benefit and trigger traffic jams, overall
transportation performance can be heavily disrupted. We develop adaptation
rules that leverage Optimal Transport theory to effectively route passengers
along their shortest paths while also strategically tuning edge weights to
optimize traffic. As a result, we enforce both global and local optimality of
transport. We prove the efficacy of our approach on synthetic networks and on
real data. Our findings on the International European highways suggest that
thoughtfully devised routing schemes might help to lower car-produced carbon
emissions.
