The advancements of GPS and GIS technologies provide new opportunities for investigating vehicle trip generation and destination choice at the microscopic level. This research models how land use and road network structure influence non-work, non-home vehicle trip generation and non-work destination choice in the context of trip chains, using the in-vehicle GPS travel data in the Minneapolis-St...

We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem, and study different deterministic and randomized algorithms to solve the problem. An elevator trip consists of successive stops in one direction of travel with passengers inside the elevator. It can be defined as a directed network, where the nodes correspond to the stops on the t...

We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem, and propose different approaches to solve the problem. An elevator trip consists of successive stops in one direction of travel with passengers inside the elevator. It can be defined as a directed network, where the nodes correspond to the stops on the trip, and the arcs to the po...

The traditional approach to urban travel analysis includes a detailed and complex modeling system that considers activity/trip generation (including time-of-day of trip) and destination, mode, and route choices. While the insights that one can gain from such a comprehensive approach are undeniable, a more simplistic approach that focuses on travel time alone (which by its nature will implicitly...

the goal of this paper is to develop a decision support system (dss) as a journey planner in complex and large multimodal urban network called rahyar. rahyar attempts to identify the most desirable itinerary among all feasible alternatives. the desirability of an itinerary is measured by a disutility function, which is defined as a weighted sum of some criteria. the weights represent travelers’...

the conventional intervening opportunity model which is potentially a powerful analytical and probabilistic model, has been used in transportation planning to model trip distribution pattern. this model is basically suffering from two main limitations. these limitations are the assumptions that trip makers are fully aware of all available opportunities in the area and their trip lengths to all ...

Abstract In this paper, we propose a new spatial interaction model for trip-chaining behavior that consists of a sequence of movements. Particularly, including the origin-destination constraints, we generalize the traditional entropy maximizing model to deal with trip-chaining behaviors. Traditional entropy models should be noted in terms of a theoretical derivation of the gravity model and its...

there is always a meaning concealed behind functional aspects of any physical structure. this covert meaning is tranfered to the user or observer of the phenomena and forms his perception. studying the perception of the visitors towards the visited structure is considered useful in several research fields. in tourism context, visitors’ perception towards visited destination is obliged as a sign...

We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem using a lexicographic bi-criteria optimization method where least squares minimization is applied to the measured counts and the minimum information or the maximum entropy approach to the whole matrix. An elevator trip consists of successive stops in one direction of travel with pa...

This paper addresses the relationship between land use and destination selection, and the question of destination selection on travel mode choice. Specifically, this work focuses on internalized trips, a sub-category of trip making where both trip origin and trip destination are contained in the same geographic unit of analysis. This investigation uses data from the 1994 Household Activity and ...