A model-based approach to dynamic toll pricing has
been developed to provide a systematic method for determining
optimal freeway pricing schemes. A novel approach is suggested
for alleviating congestion, which utilizes identified models of
driver behavior and traffic flow, as well as optimization of
the target density to maximize throughput. Real-time traffic
information from on-road sensors is integrated with historical
information to provide feedback and preview for the dynamic
toll price controller. The algorithm developed here provides an
opportunity to improve on existing toll policy by guaranteeing
minimum speeds for toll lane drivers, maintaining consistent
traffic flow for the other drivers, and optimizing the overall traffic
throughputthe Ford-MIT Allianc
