Using travel-time perception models for traveler information systems evaluation

To identify potential impacts of a range of advanced traveler information services (ATIS) for a large-scale case study, a travel-time perception-based framework has been implemented based on iterative traffic simulation feedback. The framework allows for explicit identification of traveler expectation based on familiarity with typical network congestion. Databases representing this familiarity are utilized to differentiate traveler response between a range of low-precision (e.g., variable message signs) and high-precision information services (e.g., in-vehicle navigation devices)