IoT Platforms for Smart City Implementation in Rural and Urban Communities: A Comparative Review

PI: Rick Sheldon (UI), sheldon@uidaho.edu, ORCID: 0000-0003-1241-2750

Co PIs: Ahmed Abdel-Rahim (UI)

AMOUNT & MATCH: $40,000 from PacTrans; $40,000 Match

PERFORMANCE PERIOD: 3/16/2021 – 3/15/2022

STATUS: Completed

CATEGORIES: Internet of Things, Smart Cities, Urban, Rural

RESEARCH PROJECT HOT SHEET:

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FINAL PROJECT REPORT:

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DESCRIPTION: The objective here is a comprehensive review to establish an improved understanding among transportation agency policy makers and professionals
concerning IP operational characteristics focused strengths, weaknesses, and future directions. 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, we plan 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.

DELIVERABLE DUE DATE DATE RECEIVED
Research Project Progress Report #1 10/10/2021 10/8/2021
Research Project Progress Report #2 4/10/2022 3/31/2022
Research Project Progress Report #3 10/10/2022 10/17/2022
No Cost Extension Request 6/15/2022 4/7/2022
Draft Report 10/15/2022 1/31/2023
Final Project Report 12/15/2022 5/18/2023