2 citations · 3 across the 2 of their papers we have counts for
4 papers
Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction
Lisa Kessler, Felix Rempe, Klaus Bogenberger
This paper studies the joint reconstruction of traffic speeds and travel times by fusing sparse sensor data. Raw speed data from inductive loop detectors and floating cars as well…
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach
Felix Rempe, Philipp Franeck, Klaus Bogenberger
This paper presents a dedicated Deep Neural Network (DNN) architecture that reconstructs space-time traffic speeds on freeways given sparse data. The DNN is constructed in such a w…
Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks
Felix Rempe, Klaus Bogenberger
Most traffic state forecast algorithms when applied to urban road networks consider only the links in close proximity to the target location. However, for longer-term forecasts als…
Modelling arterial travel time distribution using copulas
Adam Samara, Felix Rempe, Simone Göttlich
The estimation of travel time distribution (TTD) is critical for reliable route guidance and provides theoretical bases and technical support for advanced traffic management and co…