Typical daily decision-making process of individuals regarding use of transport system involves mainly three types of decisions: mode choice, departure time choice and route choice. This paper focuses on the mode and departure time choice processes and studies different model specifications for...

This study examines the effects of location-dependent parking fees and time-varying congestion tolls on the behavior of heterogeneous commuters and their commuting costs. To this end, we develop a model of trip timing and parking location choices by heterogeneous commuters and characterize its...

This study examines effects of bottleneck congestion and an optimal time-varying congestion toll on the spatial structure of cities. To this end, we develop a model in which heterogeneous commuters choose departure times from home and residential locations in a monocentric city with a bottleneck...

This study examines the effects of bottleneck congestion and an optimal time-varying congestion toll on the spatial structure of cities. We develop a model in which heterogeneous commuters choose departure times from home and residential locations in a monocentric city with a bottleneck located...

This study examines the effects of bottleneck congestion and an optimal time-varying congestion toll on the spatial structure of cities. We develop a model in which heterogeneous commuters choose departure times from home and residential locations in a monocentric city with a bottleneck located...

This paper explores optimal location-dependent but time-invariant peak-load charges on a road and a train in a continuous closed city with bottleneck road congestion and rail overcrowding. In our model, rail and car commuters both choose their departure times, considering their schedule delay...

A data fusion framework is proposed to predict vehicle trajectories in urban signalized arterials. Recent advancements in data collection techniques and availability of traffic data from fixed and probe sensors suggest data fusion-based models as an alternative approach for traffic prediction....

Traffic assignment is a set of criteria through which the demand for mobility is distributed over the links of a transport network. Over the last 30 years, Dynamic Traffic Assignment (DTA) models have been developed to support time-dependent analyses in nascent fields that need to take into...

This research discusses the formulation and solution algorithm of the reactive dynamic traffic assignment with the link travel time explicitly taking into account the effects of queues under the point queue concept. In the reactive assignment, vehicles are assumed to choose their routes based on...

The purpose of this study is to develop a valid and efficient method for estimating origin-destination tables from roadside survey data. Roadside surveys, whether conducted by interviews or postcard mailback methods, typically have in common the sampling of trip origin and destination...