a r t i c l e i n f o A bi-level decision support system (BDSS) is proposed for a normative road network design with uncertain travel demand. A bi-level decision support model with link capacity expansion is developed to simultaneously reduce travel delay to road users and mitigate vulnerability of road network. A tractable solution scheme for BDSS is developed. Due to some hierarchy in decisio...

This paper uses an endogenous segmentation approach to model mode choice. This approach jointly determines the number of market segments in the travel population, assigns individuals probabilistically to each segment, and develops a distinct mode choice model for each segment group. The author proposes a stable and effective hybrid estimation approach for the endogenous segmentation model that ...

PURPOSE The objective of this study was to compare multiple methods for estimation of PWV from 4D flow MRI velocity data and to investigate if 4D flow MRI-based PWV estimation with piecewise linear regression modeling of travel-distance vs. travel time is sufficient to discern age-related regional differences in PWV. METHODS 4D flow MRI velocity data were acquired in 8 young and 8 older (age:...

The widespread availability of connected and autonomous vehicles (CAVs) will likely affect social change in terms how people travel. Traditional methods travel demand land use modeling require vast amounts data that could be expensive to obtain. Such models complex software requires trained professionals configure hours run a single scenario. Alternative closed-form can quickly assess trends po...

Over the past half-century, the progress of travel behavior research and travel demand forecasting has been spear headed and continuously propelled by the micro-economic theories, specifically utility maximization. There is no denial that the travel demand models today are sophisticated and in most cases capable of forecasting the main stream of travel behavior in urban areas. However, a quick ...

Transport mode information is essential for understanding people’s movement behavior and travel demand estimation. Current approaches extract travel information once the travel is complete. Such approaches are limited in terms of generating just-in-time information for a number of mobility based applications, e.g., real time mode specific patronage estimation. In order to detect the transport m...