Pinned Repositories
Graph-based-mobility-profiling
Code accompanying our paper "Graph-based Mobility Profiling"
location-mode-prediction
[SIGSPATIAL '22] Next location prediction considering travel mode
location-prediction
[TRC] Context-aware next location prediction
mode_detect
[JTRG] Geospatial context importance for travel mode detection
semantic_privacy
Understanding the predictability of activity purposes
spatial_rf_python
Benchmarking of spatial regression methods with respect to spatial heterogeneity, and providing a Python implementation of spatial Random Forests
trackintel
trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
traffic4cast
Submission to the iarai traffic4cast competition
traffic4cast-Graph-ResNet
V2G-carsharing-RL-environment
V2G for car sharing thesis project
Mobility Information Engineering Lab at ETH Zürich's Repositories
mie-lab/trackintel
trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
mie-lab/location-prediction
[TRC] Context-aware next location prediction
mie-lab/location-mode-prediction
[SIGSPATIAL '22] Next location prediction considering travel mode
mie-lab/spatial_rf_python
Benchmarking of spatial regression methods with respect to spatial heterogeneity, and providing a Python implementation of spatial Random Forests
mie-lab/Graph-based-mobility-profiling
Code accompanying our paper "Graph-based Mobility Profiling"
mie-lab/traffic4cast
Submission to the iarai traffic4cast competition
mie-lab/V2G-carsharing-RL-environment
V2G for car sharing thesis project
mie-lab/mode_detect
[JTRG] Geospatial context importance for travel mode detection
mie-lab/semantic_privacy
Understanding the predictability of activity purposes
mie-lab/bike_lane_optimization
mie-lab/change-detection
[GIScience '21] Travel behaviour change detection study
mie-lab/car_sharing_simulator
Agent-based car sharing simulator
mie-lab/geospatial_optimal_transport
mie-lab/CKG-traffic-forecasting
Context-aware knowledge graph (CKG) framework for traffic forecasting
mie-lab/Complexity-Aware-Traffic-Prediction
Code accompanying our "Data Science for Transportation" Paper
mie-lab/geospatialOT
Optimal transport for evaluating geospatial predictions
mie-lab/graph-trackintel
Tools for building and preprocessing location graphs
mie-lab/reprotrack
mie-lab/topology_privacy
How privacy-preserving are graph representations of mobiltiy
mie-lab/train_delay
mie-lab/v2g4carsharing
Vehicle-to-grid strategies for car sharing systems
mie-lab/energymanager
HackZürich2022 - Energy manager tool
mie-lab/Urbanscales
Road network features in square urban tiles predict congestion levels
mie-lab/.github
mie-lab/bike_network_evaluation
mie-lab/cognitive_route_planning
mie-lab/predict-visits
mie-lab/teaching_examples
mie-lab/trackintel-tutorial
Tutorial materials for trackintel library
mie-lab/webapp_bike_lane_optimization
Web app for planning bike infrastructure