congestion
aetherx-port-congestion-metrics
Aether-X Global Port Congestion Snapshot
Point-in-time snapshot of the Aether-X Port Congestion Oracle — predictive
congestion, ETA delay and freight-volatility signals for 15 of the world's
largest ports.
This static CSV is a frozen snapshot for research, backtesting and
dashboards. The live, continuously-updated signal is available through the
REST API and the Python SDK.
Files
port_metrics.csv — one row per port.
Schema
Column
Type… See the full description on the dataset page: https://huggingface.co/datasets/Aether-x/aetherx-port-congestion-metrics.maritime-vessel-schedule-port-congestion-coherence-risk-v0.1What this repo is for
Detect when vessel schedules stop matching port reality.
You use it to flag:
hidden delay risk when ETA looks stable but port signals collapse
upstream disruption when ETA slips without congestion signals
true congestion when yard and berth signals align with delay
Why it matters
Ports declare problems late.
Carriers update ETAs late.
Your users need the mismatch early.
Say “Next” and I’ll build the next port ops gap.
Traffic-Congestion-Recognition-Dataset
Traffic Congestion Recognition Dataset
The main challenge currently faced by the transportation industry is the increasingly severe urban congestion problem, leading to low traffic efficiency and aggravated environmental pollution. Existing traffic monitoring systems often rely on static data, lacking real-time performance and flexibility. To solve this problem, this dataset aims to provide high-quality congestion recognition data to support real-time decision-making and management… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Traffic-Congestion-Recognition-Dataset.Traffic-Congestion-Dataset-in-Adverse-Weather
Traffic Congestion Dataset in Adverse Weather
The current traffic industry faces challenges including the impact of weather changes on traffic flow. Under adverse weather conditions, traffic congestion becomes more pronounced. Existing traffic management systems often lack specific data support for traffic conditions under different weather scenarios, leading to less precise decision-making. This dataset aims to provide a rich collection of traffic congestion images in adverse… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Traffic-Congestion-Dataset-in-Adverse-Weather.laurashin_The_Chopping_Block_The_EVM_Parallelization_Dilemma_Solanas_Network_Congestion_and_Avi_Traffic-Congestion-Recognition-Dataset
Traffic Congestion Recognition Dataset
The main challenge currently faced by the transportation industry is the increasingly severe urban congestion problem, leading to low traffic efficiency and aggravated environmental pollution. Existing traffic monitoring systems often rely on static data, lacking real-time performance and flexibility. To solve this problem, this dataset aims to provide high-quality congestion recognition data to support real-time decision-making and management… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Traffic-Congestion-Recognition-Dataset.