Pires, B. R., Ranganath, S., Yesson, R., Kim, D., & Sahyoun, T. (2019). The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic. Carnegie-Mellon University. https://rosap.ntl.bts.gov/view/dot/41697
Pires, Bernardo R., Shreyank Ranganath, Reid Yesson, Dongyoon Kim, and Tarek Sahyoun. The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic. Carnegie-Mellon University, 2019. https://rosap.ntl.bts.gov/view/dot/41697.
Pires, Bernardo R., et al. The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic. Carnegie-Mellon University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/41697.
The Intelligent Mobility Meter (IMM) is a portable data collection and analysis platform which will be able to collect fine-grained statistics on pedestrian, cyclist and vehicular traffic. The objective of the IMM project is to provide accurate and actionable data to government officials and transit advocates. The meter is an expansion of the UTC TSET funded project “Automatic Counting of Pedestrians and Cyclists”, which researched, developed and deployed a robust pedestrian and bike counting system. The deployed system was employed - in collaboration with the City of Pittsburgh - to collect usage data on Pittsburgh’s bike lanes. However current system capabilities are limited to counting pedestrians and bikes. To create a true mobility meter, this project expanded the analysis capabilities to counting motor vehicles.
Pires, B. R., Ranganath, S., Yesson, R., Kim, D., & Sahyoun, T. (2019). The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic. Carnegie-Mellon University. https://rosap.ntl.bts.gov/view/dot/41697
Pires, Bernardo R., Shreyank Ranganath, Reid Yesson, Dongyoon Kim, and Tarek Sahyoun. The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic. Carnegie-Mellon University, 2019. https://rosap.ntl.bts.gov/view/dot/41697.
Pires, Bernardo R., et al. The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic. Carnegie-Mellon University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/41697.
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