Mobility Information Engineering Lab at ETH Zรผrich (@mie-lab)
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Top repositories

1

trackintel

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
Python
204
star
2

location-prediction

[TRC] Context-aware next location prediction
Python
29
star
3

location-mode-prediction

[SIGSPATIAL '22] Next location prediction considering travel mode
Python
14
star
4

spatial_rf_python

Benchmarking of spatial regression methods with respect to spatial heterogeneity, and providing a Python implementation of spatial Random Forests
Jupyter Notebook
9
star
5

Graph-based-mobility-profiling

Code accompanying our paper "Graph-based Mobility Profiling"
Python
7
star
6

traffic4cast

Submission to the iarai traffic4cast competition
Python
6
star
7

traffic4cast-Graph-ResNet

Python
5
star
8

V2G-carsharing-RL-environment

V2G for car sharing thesis project
Jupyter Notebook
4
star
9

mode_detect

[JTRG] Geospatial context importance for travel mode detection
Jupyter Notebook
4
star
10

trip_purpose_privacy

Understanding the predictability of activity purposes
Python
3
star
11

bike_lane_optimization

Python
3
star
12

change-detection

[GIScience '21] Travel behaviour change detection study
Python
3
star
13

reprotrack

SCSS
1
star
14

rooftop-PV-EV-charging

Python
1
star
15

trackintel-docs

The trackintel documentation, please visit:
HTML
1
star
16

Complexity-Aware-Traffic-Prediction

HTML
1
star
17

topology_privacy

How privacy-preserving are graph representations of mobiltiy
Python
1
star
18

train_delay

Python
1
star
19

graph-trackintel

Tools for building and preprocessing location graphs
Python
1
star
20

v2g4carsharing

Vehicle-to-grid strategies for car sharing systems
Python
1
star
21

ev_homepv

A project to analyze how much of our mobility energy demand (induced by electric vehicles) we can cover by using only pv installed on our own home.
Python
1
star
22

geospatial_optimal_transport

Python
1
star