1 GPS-based travel survey is an emerging data collection method in transportation planning. 2 Its application in trip mode detection has been explored in many existing studies. 3 However, most existing research on GPS data based trip mode detection methods are 4 developed and tested with data collected from European and American countries. Their 5 methods cannot be easily adapted to Asian count...

This paper investigates the impacts of information and communication technologies on daily time allocation to various activities and travel, and on modal split for a substantially large sample of 1480 persons interviewed repeatedly. Employing structural equations we explore the relationships among different activity and travel time use indicators and daily frequencies of travel mode use. Using ...

Equilibration of travel demand and system performance has traditionally been considered an important problem, primarily for auto travel, and only secondarily for bus travel. Initially, "capacity-constrained traffic assignments" were predominant. These algorithms were invariably restricted to auto mode, provided no information on convergence, and suffered from other shortcomings (Ruiter, 1973). ...

Travel mode choice prediction is critical for travel demand prediction, which influences transport resource allocation and policies. modes are often characterised by severe class imbalance inequality, leads to the inferior predictive performance of minority bias in prediction. In existing studies, has not been addressed with a general approach. Basic resampling methods were adopted without much...

Travel time unreliability is an important characterization of transportation systems. The appropriate modeling and reporting of travel time reliability is crucial for individual travelers as well as management agencies. In this paper, a novel multi-state model is proposed for travel time modeling and reporting. The model advances travel time modeling in two aspects. First, the multi-state model...

We perform a two-dimensional inversion of f-mode travel times to determine near-surface solar flows. The inversion is based on optimally localized averaging of travel times. We use finite-wavelength travel-time sensitivity functions and a realistic model of the data errors. We find that it is possible to obtain a spatial resolution of 2 Mm. The error in the resulting flow estimate ultimately de...