The Network Design Problem (NDP) has long been recognized to be one of the most difficult
and challenging problems in transport. In the past two decades, we have witnessed the …

The estimation of up-to-date origin-destination matrix (ODM) from an obsolete trip data,
using current available information is essential in transportation planning, traffic …

This book presents a coherent approach to the analysis of transportation networks based on
the concept of network equilibrium and the application of convex programming methods …

Traffic management and control applications require comprehensive knowledge of traffic
flow data. Typically, such information is gathered using traffic sensors, which have two basic …

This paper develops a scenario-based bilevel programming model to optimize the selection
of shelter locations with explicit consideration of a range of possible hurricane events and …

With the growing attention toward develo** a multimodal transport system to enhance
urban mobility, there is an increasing need to construct new infrastructures, rebuild or …

There has been substantial interest in development and application of methodology for
estimating origin–destination (O–D) trip matrices from traffic counts. Generally, the quality of …

Many decision-making problems in transportation system planning and management can be
formulated as bilevel programming models, which are intrinsically nonconvex and hence …

We study a transportation network company (TNC) that offers on-demand solo and pooling e-
hail services in an aggregate mobility service market, while competing with transit for …

This paper examines two different approaches for real-time estimation/prediction of time-
dependent Origin–Destination (O–D) flows. Both approaches lend themselves to formulation …