Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

Intelligent transportation system (ITS) infrastructures contain sensors, data processing, and
communication technologies that assist in improving passenger safety, reducing travel time …

The objective of this paper is to present an analysis of recent applications of data fusion (DF)
in road traffic engineering. First, we report the most significant applications of data fusion …

Dempster–Shafer data fusion can enhance travel time estimation for motorists and traffic
managers. In this paper, travel time data from inductive loop road sensors and toll collection …

The introduction of deep learning (DL) models and data analysis may significantly elevate
the performance of traffic speed prediction. Adverse weather causes mobility and safety …

An intelligent transportation system (ITS) offers considerable opportunities for increasing the
safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors …

Travel time is considered more useful to users than other travel-related information such as
speed. It is mainly estimated by point or interval detection systems. In this study, the authors …

Providing accurate real‐time traffic information is an inherent problem for intelligent
transportation systems (ITS). In order to improve the knowledge base of advanced driver …

No Brasil, 90% do PIB é produzido nas cidades, o que demonstra uma forte concentração
das atividades econômicas no meio urbano. Além disto, em 2000, 81% da população …

Conclusions After considering the 10 different ITS component systems it is clear that each
system cannot be deployed to stand alone in the overall transportation system. Building a …