Pedestrians speak out about Edmonton's plan to remove scramble crosswalks on Whyte Avenue
The City of Edmonton plans to remove three scramble crosswalks from its busiest entertainment and shopping district in a bid to improve traffic flow for buses and other vehicles.
https://www.cbc.ca/news/canada/edmonton/edmonton-whyte-avenue-scramble-crosswalks-9.7149341?cmp=rss
#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.
https://www.thehindu.com/news/cities/chennai/chennai-roads-to-get-bus-priority-lanes-for-better-traffic-flow-and-faster-transportation/article67462639.ece
Chennai roads to get bus priority lanes for better traffic flow and faster transportation

Chennai to get bus priority lanes for better traffic mgmt; 471 bus route roads of GCC & ones handed over by Highways Dept to get priority measures; recessed bus bays, kerb lane for buses, priority at traffic signals, ITES-enabled high-tech bus fleet for BRTS.

The Hindu

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

https://github.com/DataSystemsLab/GeoTorchAI

#GeoTorchAI #GeoAI

GitHub - DataSystemsLab/GeoTorchAI: GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036)

GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036) - GitHub - DataSystemsLab/GeoTorchAI: GeoTorchAI: A Spatiotemporal Deep Learning Framework ...

GitHub

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

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

https://arxiv.org/abs/2211.01301

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

Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen

Contemporary street design prioritizes vehicular traffic flow and assumes compliant road users. However, actual human behavior is typically neglected, especially of cyclists, leading to streets with inadequate wayfinding and protection from vehicular traffic. To improve planning, here we develop a computational method to detect cyclist trajectories from video recordings and apply it to the Dybbølsbro intersection in Copenhagen, Denmark. In one hour of footage we find hundreds of trajectories that contradict the design, explainable by the desire for straightforward, uninterrupted travel largely not provided by the intersection. This neglect and the prioritization of vehicular traffic highlight opportunities for improving Danish intersection design.

arXiv.org

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
👉Infos: https://datahyking.eu/?page_id=39
📅 April 15th 2023
@Ulysseus_eu
#machinelearning #vehicles #trafficflow

🐦🔗: https://twitter.com/twitter/statuses/1646869883777417216
#PhdPosition

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

https://www.datastories.org/bmda23/BMDA23Program.html

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 🏆 goes to natural language #NLP #Transfomers for #Traffic volume prediction

#EDBT2023

BMDA 2023 @EDBT - Program

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 https://www.tandfonline.com/doi/full/10.1080/13658816.2022.2146120?src=
Urban traffic flow prediction: a dynamic temporal graph network considering missing values

Accurate traffic flow prediction on the urban road network is an indispensable function of Intelligent Transportation Systems (ITS), which is of great significance for urban traffic planning. Howev...

Taylor & Francis