Traditionally, tolls on transportation networks are determined on the basis of a single value
of travel demand, deterministic elastic demand relationships, or informal scenario analysis.
However, since the demand on the network cannot be forecast perfectly, pricing may prove
to be suboptimal when the realized value of demand deviates significantly from the planned
value. Therefore, there is a need for a robust pricing scheme that accounts for demand
uncertainty. Optimal pricing is examined through marginal costs in which origin-destination …

Toll prices on traffic networks have been traditionally determined using a single expected
demand value or deterministic demand supply relationships. Previous work by Gardner,
Unnikrishnan, and Waller (2008) show that marginal social cost prices obtained using the
expected value of demand can significantly deteriorate system performance especially when
the actual system state deviates from the planned forecasted conditions. Determining the
globally optimal tolls which are resilient to demand uncertainty entails a significantly high …