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Felix Rempe
Felix Rempe
Unknown affiliation
Verified email at bmw.de
Title
Cited by
Cited by
Year
Spatio-temporal congestion patterns in urban traffic networks
F Rempe, G Huber, K Bogenberger
Transportation Research Procedia 15, 513-524, 2016
582016
A phase-based smoothing method for accurate traffic speed estimation with floating car data
F Rempe, P Franeck, U Fastenrath, K Bogenberger
Transportation Research Part C: Emerging Technologies 85, 644-663, 2017
262017
Online freeway traffic estimation with real floating car data
F Rempe, P Franeck, U Fastenrath, K Bogenberger
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
262016
Fusing probe speed and flow data for robust short-term congestion front forecasts
F Rempe, L Kessler, K Bogenberger
2017 5th IEEE International Conference on Models and Technologies for …, 2017
82017
Assessing the probability of arriving on time using historical travel time data in a road network
A Samara, F Rempe, U Fastenrath, S Göttlich
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1343-1348, 2019
42019
Travel time prediction in partitioned road networks based on floating car data
F Rempe, G Huber, K Bogenberger
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
42016
A CEP technology stack for situation recognition on the gumstix embedded controller
S Grimm, T Hubauer, T Runkler, C Pachajoa, F Rempe, M Seravalli, ...
INFORMATIK 2013–Informatik angepasst an Mensch, Organisation und Umwelt, 2013
32013
On the estimation of traffic speeds with Deep Convolutional Neural Networks given probe data
F Rempe, P Franeck, K Bogenberger
Transportation research part C: emerging technologies 134, 103448, 2022
22022
A novel approach for vehicle travel time distribution: copula-based dependent discrete convolution
A Samara, F Rempe, S Gottlich
Transportation Letters, 1-12, 2021
22021
Estimating traffic speeds using probe data: A deep neural network approach
F Rempe, P Franeck, K Bogenberger
arXiv preprint arXiv:2104.09686, 2021
22021
Modelling arterial travel time distribution using copulas
A Samara, F Rempe, S Göttlich
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
22020
Traffic speed estimation and prediction using floating car data
F Rempe
Universitätsbibliothek der Universität der Bundeswehr München, 2018
22018
Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction
L Kessler, F Rempe, K Bogenberger
Frontiers in Future Transportation 2, 27, 2021
12021
Estimating motorway traffic states with data fusion and physics-informed deep learning
F Rempe, A Loder, K Bogenberger
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
12021
Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction
L Kessler, F Rempe, K Bogenberger
Annual Meeting of the Transportation Research Board, 2021, 2021
12021
Temporal Aggregated Analysis of GPS Trajectory Data using Two-fluid Model
Y Zhang, A Loder, F Rempe, K Bogenberger
Transportation Research Board 101st Annual MeetingTransportation Research Board, 2022
2022
TUM Chair of Traffic Engineering and Control
K Bogenberger, RL Bertini, A Keler, M Margreiter, G Grigoropoulos, ...
Transportation Research, 2022
2022
Methods and Devices Arranged for Routing Autonomous Driving
S Duym, F Rempe
US Patent App. 16/972,179, 2021
2021
Vehicle Routing Optimized for Autonomous Driving
A Samara, F Rempe, S Göttlieh
2021 IEEE Intelligent Vehicles Symposium (IV), 1162-1167, 2021
2021
PhD thesis: Traffic Speed Estimation and Prediction using Floating Car Data
F Rempe
https://athene-forschung.unibw.de/127445, 2019
2019
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Articles 1–20