Missing values are prevalent in spatio-temporal traffic data, undermining the quality of data-
driven analysis. While prior works have demonstrated the promise of tensor completion …

Bicycle sharing has grown rapidly since the 2000s, but there is a lack of thorough
retrospective analysis performed from a long-term perspective. This paper takes London as …

The intensification of e-commerce increases freight movements in urban areas, which
negatively contributes to promoting sustainable cities. Conversely, the spare capacity of the …

Purpose The Open API (application programming interface) architecture will play an
important role in promoting future FinTech service applications; however, it involves user …

Traffic flow/volume data are commonly used to calibrate and validate traffic simulation
models. However, these data are generally obtained from stationary sensors (eg loop …

This work addresses the task of modeling spatiotemporal traffic patterns directly from
overhead imagery, which we refer to as image-driven traffic modeling. We extend this line of …

This study explores the impact of emerging vehicle technologies on direct urban traffic
emissions. It investigates emission reduction potential from shifts in fleet compositions and …

Accurate static traffic assignment models are important tools for the assessment of strategic
transportation policies. In this article we present a novel approach to partition road networks …

Abstract The European Union has taken a distinctive stance in facilitating the unrestricted
movement of non-personal data, all the while upholding data privacy and security standards …

Abstract The General Transit Feed Specification (GTFS) is an open standard format for
recording transit information, utilized by thousands of transit agencies worldwide. In this …