#TrafficFlow

2023-10-27

#Chennai #roads to get #busprioritylanes for better #trafficflow and #fastertransportation
Officials have started a study of routes, such as Chennai Central-Tambaram and Koyambedu-Guindy, for the implementation of the initiative. Many of the GCC’s 471 bus route roads and ones recently handed over by the Highways Department will get the facility.
thehindu.com/news/cities/chenn

Anita Graser πŸ‡ͺπŸ‡ΊπŸ‡ΊπŸ‡¦πŸ‡¬πŸ‡ͺunderdarkGIS@fosstodon.org
2023-06-04

What got me particularly excited about @geotorchai is the mention of applications of #DeepLearning on #spatiotemporal non-imagery datasets, including #MobilityDataScience prediction tasks such as: #TrafficVolume and #TrafficFlow prediction

github.com/DataSystemsLab/GeoT

#GeoTorchAI #GeoAI

Anita Graser πŸ‡ͺπŸ‡ΊπŸ‡ΊπŸ‡¦πŸ‡¬πŸ‡ͺunderdarkGIS@fosstodon.org
2023-05-18

Did you know that @movingpandas also supports local image coordinates?

Currently working on a demo using #bicycle tracks extracted from #video footage 🚴πŸŽ₯ published by @mszll

arxiv.org/abs/2211.01301

#openscience #MobilityAnalytics #MobilityDataScience #mobility #MovingPandas #TrafficFlow #planning #cycling #TrafficBehavior

Screenshot of my Jupyter notebook showing MovingPandas trajectory plots and the original research paper showing the layout of the road intersection under investigation
FenjanπŸ¦–fenjan@sigmoid.social
2023-04-14

date: 2023-04-14 13:35:52
by: Maison de l'Europe et des Territoires

Last days to apply for a #PhD position in the MSCA Joint Doctorates Network #DATAHYKING
πŸ‘‰Infos: datahyking.eu/?page_id=39
πŸ“… April 15th 2023
@Ulysseus_eu
#machinelearning #vehicles #trafficflow

πŸ¦πŸ”—: twitter.com/twitter/statuses/1
#PhdPosition

Anita Graser πŸ‡ͺπŸ‡ΊπŸ‡ΊπŸ‡¦πŸ‡¬πŸ‡ͺunderdarkGIS@fosstodon.org
2023-03-28

It's been a pleasure to present our #DeepLearning from Trajectory Data review paper at #BMDA2023

datastories.org/bmda23/BMDA23P

Our review covers 8 use cases:
1. #LocationClassification
2. #ArrivalTimePrediction
3. #TrafficFlow #prediction
4. #Trajectory prediction
5. Trajectory #classification
6. Next location prediction
7. #AnomalyDetection
8. #SyntheticDataGeneration

The price for most surprising approach πŸ† goes to natural language #NLP #Transfomers for #Traffic volume prediction

#EDBT2023

Screenshot of the intro slide of my talk titled: 

Deep Learning From Trajectory Data - A Review of Deep Neural Networks and the Trajectory Data Representations to Train Them 

presented at the Big Mobility Data Analytics (BMDA) workshop at EDBT/ICDT Conference
on 2023-03-28

authored by 
Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld and Krzysztof Janowicz

This work is mainly funded by the EU’s Horizon Europe research and innovation program under Grant No. 101070279 MobiSpaces and No. 101021797 STARLIGHT.Slide on the traffic volume prediction use case, highlighting a paper using NLP Transformers
Int J GIScienceijgis@fediscience.org
2022-11-17

New paper: Urban traffic flow prediction: a dynamic temporal graph network considering missing values by Wang P et al. #ijgis #GIScience #GIS #GISchat #TrafficFlow #Prediction tandfonline.com/doi/full/10.10

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