UTD19: Largest Multi-City Traffic Dataset
Largest publicly available multi-city traffic dataset with 23,541 stationary detectors across 40 cities worldwide. Rich source for traffic dynamics research and urban mobility studies.
Residential and commercial building sensor data: temperature, humidity, CO₂, occupancy, appliance-level consumption and home-automation event logs.
Largest publicly available multi-city traffic dataset with 23,541 stationary detectors across 40 cities worldwide. Rich source for traffic dynamics research and urban mobility studies.
High-resolution traffic flow data from 470 sensors across Glasgow covering 4 years (Oct 2019 - Sep 2023). Captures traffic patterns during COVID-19 pandemic with 15-minute intervals.
Industrial equipment sensor data with real-time measurements for predictive maintenance and decision support. Combines temperature, vibration, pressure readings with maintenance costs and failure probability scores.
Real-time data collected from IoT sensors to detect smoke and fire events. Features include temperature, humidity, TVOC, and eCO2 levels for reliable alarm systems.
A massive dataset recording electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years.
Multi-sensor data from a smart office building tracking energy consumption, CO2 levels, and occupancy to optimize HVAC systems.
Time-series monitoring of air pollutants (CO, NOx, O3) and environmental factors using chemical sensors in a smart city infrastructure.
Energy usage monitoring of a smart house, including 20 sensors tracking temperature, humidity, and weather data for energy forecasting.
A massive time-series dataset (2M+ rows) tracking active power, voltage, and sub-metering energy usage for a single household over 4 years.
A time-series dataset from 50+ smart homes collecting temperature, humidity, and energy usage readings for HVAC optimization.