In this paper, the performance of the well-known Generalized Adaptive Smoothing Method
(GASM) as online traffic speed estimator with Floating Car Data (FCD) as single source of …

To a large extent, traffic control and traffic information services depend on accurate
information about the situation on the road network. Often rough estimates of queue lengths …

Floating-car system has become a new method to collect real-time traffic data, which has
many advantages such as high precision, large coverage area, etc. This paper describes the …

Different aspects of traffic dynamics are captured by different measurement methods. In this
chapter, we discuss trajectory data and floating-car data, both providing space-time profiles …

Trajectory estimation is essential for obtaining a complete picture of traffic flow with limited
and continuously detected traffic data, which are helpful in evaluating transportation …

Probe data from consumer global positioning system (GPS) navigation devices, a type of
floating car data (FCD), can provide high-quality information across the entire transportation …

The sample spatio-temporalsparsity is one of the major challenges for traffic estimation
when using floating car data (FCD). Spatio-temporal characteristics of road traffic flow are …

The objective of this paper is to analyze the estimation quality of a staged methodology, that
allows the estimation of signal timing information like cycle length, green and red time …

Reconstructing vehicle trajectories is an essential step in obtaining high-precision vehicle
trajectory data owing to observation errors. Although considerable efforts have been made …

We present an approach for evaluating traffic performance along corridors and its variation
based on floating car data (FCD). In contrast to existing work, our approach can cope with …