<title/> The impacts of telecommuting and intelligent transportation systems (ITS) on urban development patterns were investigated in terms of households' residential location choice decisions. A discrete choice modelling approach framework was used. A stated preference (SP) logit analysis was carried...

This paper presents a fuzzy queuing model that can be used to predict the possible delay that a vehicle will experience at an incident location based on real-time information on current queuing conditions, traffic arrivals, lane closings. Compared to most existing methods, the proposed model is...

A new approach for the investigation of aircraft turnaround operation performance at airports is proposed in this paper. A Markovian type simulation model is used to simulate operational uncertainties arising from aircraft turnaround operations. Monte Carlo Simulation techniques are implemented...

Gate-to-gate punctuality has long been the operational goal of the air transport industry. In this paper, an analytical model is proposed to simulate the efficiency of aircraft turnaround operations at airports. Scenarios for different aircraft punctuality performance have been modelled and...

The purpose of an economic appraisal of a transportation project is to help select an efficient transportation investment plan. Here, efficiency means achieving the best transportation service from a given investment and the generation of net benefits at least as great as the costs of the...

In this paper, the transferability of person-based standardized regression models is analysed using two large-scale origin-destination household surveys with data collected in two Brazilian cities, Sa˜o Paulo and Bauru. The models are specified in terms of dummy variables linked to...

The aim of this paper is to investigate the influence of aircraft turnaround performance at airports on the schedule punctuality of aircraft rotations in a network of airports. A mathematical model is applied, composed of two sub-models, namely the aircraft turnaround model (turnaround...

For the past two decades, the quality of service offered by an airport to its users -- in this case, passengers and airlines -- has emerged as one of its most important competitive tools. This period has been characterised by a relatively stable growth in air traffic of an average annual rate of...

This article examines possibilities for the application of soft computing techniques for the prediction of travel demand. The model, based on fuzzy logic and a genetic algorithm, successfully solves the trip distribution problem. The possibilities of using the proposed model in solving trip...