This paper calibrates on-line the parameters of a controller-estimated driver behavior model used in a deployable behavior-consistent approach for real-time route guidance by checking the consistency between the time-dependent actual and estimated system states. The behavior model has a fuzzy...

This paper introduces a new on-demand air service (ODAS) for intercity transportation and develops traveler behavior models to predict the probability of individuals switching from the usual preferred mode of intercity transportation to the new ODAS under a rage of plausible scenarios in terms...

This paper develops behavior models to analyze traveler propensity towards a new “very light jet”-based on-demand air service (ODAS), also labeled air taxi service, with the broader objective of providing guidance for the enabling stakeholders including business operators, policy-makers and...

Day-to-day route choice behavior of drivers is analyzed by the introduction of a new route choice model developed using stochastic learning automata (SLA) theory. This day-to-day route choice model addresses the learning behavior of travelers on the basis of experienced travel time and...

Incident response strategies deal with the resource allocation and minimum risk re-routing of hazardous material carriers in response to traffic incidents. Such strategies also address the effect of loss in coverage due to the non- availability of response vehicles. In addition, the effect of an...

The dissertation studies traffic dispersion modeling in four parts. In the first part, the dissertation focuses on the Robertson platoon dispersion model which is the most widely used platoon dispersion model. The dissertation demonstrates the importance of the Yu and Van Aerde calibration...