If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning ๐
09:00-10:15 Session 1A: WS: Mobility Data Science & KI โ Potenziale fรผr den รถffentlichen Verkehr
If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning ๐
09:00-10:15 Session 1A: WS: Mobility Data Science & KI โ Potenziale fรผr den รถffentlichen Verkehr
๐คฉ #MobilityDataAnalytics & #GIScience all around:
Attending the @emeraldseu GA today. Presented progress on #Trajectools and our #explainableAI & #activeLearning for #MobilityDataScience. While simultaneously traveling to #AGIT2025 ๐
๐ New @movingpandas 0.22 and #Trajectools 2.6 just landed
Over 50% runtime reduction for many #MovementDataAnalytics tasks ๐
The latest releases of MovingPandas and Trajectools come with many โunder the hoodโ changes that aim to make your movement analytics faster: Instead of immediately creating a GeoPandas โฆ
And here's @martinfleis et al.'s new street network generalization tool:
Another interesting new paper on street network analysis, HT @gboeing
๐ฏ it's surprisingly hard to count intersections
Direct links for convenience ...
๐ Paper: https://www.mdpi.com/2071-1050/17/8/3634
Code: https://github.com/plus-mobilitylab/netascore/tree/v0.9.0
#Walkability #HumanMobility #MobilityDataScience #GIScience #GISchat #OSM
๐ฅณ New versions of @movingpandas and #Trajectools have just landed:
๐ข๐๐ฒ๐ฆ #MovingPandas 0.21.3 https://github.com/movingpandas/movingpandas/releases/tag/v0.21.3
Trajectools 2.5 https://codeberg.org/movingpandas/trajectools/releases/tag/v2.5
๐ Please update your MovingPandas install to get all the improvements in #QGIS Trajectools https://plugins.qgis.org/plugins/processing_trajectory/#plugin-versions
#GISChat #MovementDataAnalytics #MobilityDataScience #Python
The quest for a fair TimeGPT benchmark
At the end of yesterday's #TimeGPT for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...
http://anitagraser.com/2025/03/29/the-quest-for-a-fair-timegpt-benchmark/
#TimeGPT for #mobility: Can foundation models outperform classic machine learning models for flow predictions?
tldr; Maybe. Preliminary results certainly are impressive.
#MobilityDataScience #gischat #urbanmobility #geoai #foundationmodels
tldr; Maybe. Preliminary results certainly are impressive. Introduction Crowd and flow predictions have been very popular topics in mobility data science. Traditional forecasting methods rely on clโฆ
Only one more week to submit to ACM TSAS special issue on Urban Mobility https://dl.acm.org/pb-assets/static_journal_pages/tsas/pdf/TSAS_Special_Issue_Urban_Mobility-1737749682787.pdf
HT https://mastodon.social/@luis_de_sousa/113946946892555809