IoT Platforms for Smart City Implementation in Rural and Urban Communities: A Comparative Review
Transportation agencies in urban, sub-urban, and rural communities have plans or are amid developing initial Smart City projects. The major component of these projects comprises the Internet of Things (IoT). IoT enables collecting data flows and exchange to enable the analytics needed to manage and achieve the end goals of any smart city project. Many agencies find that IoT Platform (IP) selection is very challenging compounded by limited technical resources and are struggling to implement vital concepts aimed at enabling more effective and sustainable mobility. This will be a comparative study that evaluates different IP solutions currently available in terms of interoperability, functional capabilities, delivery models, and integration strategies toward achieving sustainable mobility. Other factors that will be examined include platform security, user experience, scalability, and suitability for urban sub-urban, and rural areas. Ultimately, the research team plans to employ AI (i.e., machine learning) algorithms that can help predict and adapt traffic management strategies to better leverage such metrics as link travel time on a specific segment of large-scale traffic networks. These capabilities will be further used to develop an advanced traffic simulator (i.e., high fidelity, efficient, reliable, and location sensitive) necessary for developing future optimization algorithms.
Language
- English
Project
- Status: Active
- Funding: $80000
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Contract Numbers:
69A355174110
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Sponsor Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
National Institute for Advanced Transportation Technology
University of Idaho, Moscow
115 Engineering Physics Building
Moscow, ID United States 83844-0901 -
Project Managers:
Sheldon, Frederick
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Performing Organizations:
National Institute for Advanced Transportation Technology
University of Idaho, Moscow
115 Engineering Physics Building
Moscow, ID United States 83844-0901 -
Principal Investigators:
Sheldon, Frederick
- Start Date: 20210516
- Expected Completion Date: 20221215
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Alternatives analysis; Internet of things; Machine learning; Rural areas; Urban areas
- Subject Areas: Data and Information Technology; Planning and Forecasting; Policy; Transportation (General);
Filing Info
- Accession Number: 01784883
- Record Type: Research project
- Source Agency: Pacific Northwest Transportation Consortium
- Contract Numbers: 69A355174110
- Files: UTC, RIP
- Created Date: Oct 16 2021 9:50PM