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: Active
CATEGORIES: Internet of Things, Smart Cities, Urban, Rural
FINAL PROJECT REPORT: will be available once completed
PROJECT DATA: will be available once completed
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 | |
No Cost Extension Request | 1/15/2022 | |
Draft Report | 1/15/2022 | |
Final Project Report | 3/15/2022 |