This study proposes a state-space model that estimates traffic states over a two-dimensional
network with alternative routes available by a data assimilation technique that fuses probe …

With the capability of communicating with surrounding vehicles and infrastructures,
connected and automated vehicles (CAVs) can safely drive closer with reduced headway …

Traffic speed prediction plays an important role in intelligent transportation systems, and
many approaches have been proposed over recent decades. In recent years, methods using …

This study proposes a state-space model that estimates traffic states over a two-dimensional
network with alternative routes available by a data assimilation technique that fuses probe …

Reliable, real-time prediction of delay and density is challenging as direct measurement of
these variables is difficult. Though studies yielding reasonably accurate predictions of delay …

Traffic prediction plays a significant part in creating intelligent cities such as traffic
management, urban computing, and public safety. Nevertheless, the complex spatio …

The actual location application always demands rapid initial positioning, high real time
performance and high accuracy. In order to meet the demands above, this paper mainly …

The proliferation of smartphones and internet connectivity has provided the opportunity to
use crowdsourced data in traffic management. Nowadays, many people use navigation …

After I had finished my diploma thesis in computer science in 2008, I had absolutely no intent
to stay in academia and spend days sitting in front of a computer to solve abstract problems …

Traffic state estimation and forecasting are central components in dynamic traffic
management and information applications. This paper proposes a traffic state estimation …