Sensor-Based Pedestrian Counting System Optimizes Urban Planning!
Sensors are used at 53 locations in downtown Melbourne. Pedestrians are counted using infrared radiation. The data collected includes the number of pedestrians, times and the directions in which people are walking. Over 650,000 pedestrians were recorded in a 24-hour period. Peaks of several thousand pedestrians per minute are regularly measured during rush hours at hotspots. The data provides city planners with valuable information to prevent larger crowds or overcrowding of public transport at peak times.
The goal: To make the city more pedestrian-friendly.
Dr. Richard Watson, Director, Ryan Watson Consulting, will report on data use of pedestrian counts in Melbourne on July 7th. Learn more at the Think WIOT Day “Smart City & Consumer IoT.”
Register free of charge for July 7th and take part in the digital conference .
Sensor data is stored in the on-site data logger and transmitted to a central server every 15 minutes. The data is uploaded to a data visualization site on an hourly basis. Only human movements are recorded. No individual or personal data is collected or stored.
Research Models Predict Pedestrian Volumes Up to 192 Hours in Advance
Several research projects have made use of data from pedestrian counts. The Swinburne Student Project, for example, has presented pedestrian counts on graphs at different days of the week and times of day, as well as visualized popular locations and walking directions on maps. In the future, the use of machine learning will be used to predict pedestrian traffic flow. It will also enable linking with social media data from smartphones, and fitness and health data from wearable devices.
A project at RMIT University modeled a pedestrian count prognosis. These models were able to accurately predict pedestrian counts up to 192 hours in advance.
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We look forward to welcoming you at the Think WIOT Day on July 7th 2021!