Compared with survey polls, social media can yield a better and more comprehensive
understanding of public perceptions of special topics in a more scientific manner. However …

The world is witnessing a vivid race toward develo** advanced solutions to enable smart,
fast, affordable and environment friendly mobility for Smart Cities inhabitants. This led to the …

This paper employs deep learning in detecting the traffic accident from social media data.
First, we thoroughly investigate the 1-year over 3 million tweet contents in two metropolitan …

The purpose of this paper is to demonstrate that user-generated online contents can be
used as an alternative data source for assessing airport service quality, which effectively …

As app-based ride-hailing services have been widely adopted within existing traditional taxi
markets, researchers have been devoted to understand the important factors that influence …

The effectiveness of traditional traffic prediction methods, such as autoregressive or spatio-
temporal models, is often extremely limited when forecasting traffic dynamics in early …

Reliable travel behavior data is a prerequisite for transportation planning process. In large
tourism dependent cities, tourists are the most dynamic population group whose size and …

Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …

Public opinion is a valuable source for evaluating the performance of transportation
services, which can guide management and policy adjustment. In contrast to traditional …

Traffic accident detection is an important strategy governments can use to implement
policies intended to reduce accidents. They usually use techniques such as image …