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Philipp Matthes

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2024
[b1]
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Philipp Matthes:
Green Light Optimal Speed Advisory for Bikes. Dresden University of Technology, Germany, 2024
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Daniel Jeschor, Philipp Matthes, Thomas Springer, Sebastian Pape, Sven Fröhlich:
Cloudy with a Chance of Green: Measuring the Predictability of 18, 009 Traffic Lights in Hamburg. IV 2024: 2882-2889
[i1]
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  - journals/corr/abs-2403-18830
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Daniel Jeschor, Philipp Matthes, Thomas Springer, Sebastian Pape, Sven Fröhlich:
Cloudy with a Chance of Green: Measuring the Predictability of 18, 009 Traffic Lights in Hamburg. CoRR abs/2403.18830 (2024)
2023
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  - conf/gis/MatthesJ023
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Philipp Matthes, Daniel Jeschor, Thomas Springer:
GeoAI-Powered Lane Matching for Bike Routes in GLOSA Apps. SIGSPATIAL/GIS 2023: 40:1-40:4
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Philipp Matthes, Thomas Springer, Daniel Jeschor:
Accurate Bike Routing for Lane Prediction in GLOSA Apps via Infrastructure Reference Models. ITSC 2023: 726-731
2022
[c2]
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Philipp Matthes, Thomas Springer:
Selecting Resource-Efficient ML Models for Transport Mode Detection on Mobile Devices. IoTaIS 2022: 135-141
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Philipp Matthes, Thomas Springer:
Matching Traffic Lights to Routes for Real-World Deployments of Mobile GLOSA Apps. ISC2 2022: 1-7

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