The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic

Pires, Bernardo R.; Ranganath, Shreyank; Yesson, Reid; Kim, Dongyoon; Sahyoun, Tarek; Robotics Institute, Carnegie Mellon University; Mobility21, Carnegie Mellon University

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The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic

2019-04-23
By Pires, Bernardo R. ; Ranganath, Shreyank ; Yesson, Reid ; ...

[PDF-4.40 MB]

English

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Creators:

Pires, Bernardo R. ; Ranganath, Shreyank ; Yesson, Reid ; Kim, Dongyoon ; Sahyoun, Tarek

Pires, Bernardo R. ; Ranganath, Shreyank ; Yesson, Reid ; Kim, Dongyoon ; Sahyoun, Tarek Less -
Corporate Creators:

Robotics Institute, Carnegie Mellon University ; Mobility21, Carnegie Mellon University

Robotics Institute, Carnegie Mellon University ; Mobility21, Carnegie Mellon University Less -
Corporate Contributors:

University Transportation Centers Program (U.S.) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

University Transportation Centers Program (U.S.) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Automatic Vehicle Detection And Identification Systems Cyclists Data Collection Mobility Motor Vehicles Pedestrians Portable Equipment Traffic Counting Traffic Counts
Resource Type:

Tech Report
Geographical Coverage:

Pittsburgh (Pennsylvania) ; United States

Pittsburgh (Pennsylvania) ; United States Less -
Edition:

Final Research Report
Corporate Publisher:

Carnegie-Mellon University
Abstract:

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.
Format:

PDF
Funding:

69A3551747111
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:026c60113e2863641b60df3049726e589f3b38c513342f88fa343c05e78e1d07
Download URL:

https://rosap.ntl.bts.gov/view/dot/41697/dot_41697_DS1.pdf
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The Intelligent Mobility Meter – Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic

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