Industrial Internet of Things Asset Monitoring, Missouri Department of Transportation.
This two-phase project assesses the readiness of industrial internet of things for initial implementation on the transportation highway system (such as bridges, pavements, retaining walls and signs).
“Early Pilot Deployment of a Decision-Making Framework to Select Wearable Internet of Things Devices for Safety on Construction Sites,” Tulio Sulbaran and Ibukun Awolusi, Construction Research Congress 2022, March 2022.
Results are presented from a pilot program that implemented a decision-making framework for selecting wearable internet of things devices to enhance safety on construction sites.
Challenges in Using Big Data Analytics for Transportation Project Delivery: Part 1, TRB Straight to Recording for All, Transportation Research Board, February 2019.
The internet of things and building information modeling are discussed in relation to the challenges in using big data analytics for improved project delivery (such as design, construction, operation and maintenance).
Using IoT Technology to Create Smart Work Zones, North Carolina Department of Transportation, July 2020.
Insights gained from an extensive literature review and analysis of North Carolina work zone crash data were used to develop two proof-of-concept systems using internet of things, artificial intelligent and computer vision technologies for work zone intrusion warning and vehicle queue detection.
“IoT for the DOT: Smart Infrastructure Comes to Highway Paving,” Luna Lu, Purdue Engineering Review, April 2020.
An emerging trend in smart infrastructure is the use of the internet of things in low-tech pavement repair and resurfacing.
“MAPark: A Multi-Agent Auction-Based Parking System in Internet of Things,” Syed Rizvi, Susan Zehra and Stephan Olariu, IEEE Intelligent Transportation Systems Magazine, Winter 2021.
The Multi-Agent Auction-based Parking (MAPark) system exploits sophisticated software in smart cities to quickly and seamlessly look up parking space availability, determine pricing, negotiate pricing and reserve parking spaces. The benefits include cost and fuel savings for drivers looking for parking, reduced traffic congestion and increased use of public and private parking facilities.
“A Smart, Efficient and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices,” Ruimin Ke, Yifan Zhuang, Ziyuan Pu and Yanbing Wang, IEEE Transactions on Intelligent Transportation Systems, 2020.
Using edge computing for parking occupancy detection and other smart parking surveillance tasks is investigated.
Research in Progress
Digital Twin for Emergency Traffic Management, Mobility21 National USDOT UTC for Mobility of Goods and People, start date: July 2022, expected completion date: June 2023.
A proposed digital twin system will integrate cyberphysical simulation models with the live or historical internet of things data for emergency traffic management.
► Related Resource: Data Management Plan
IoT Platforms for Smart City Implementation in Rural and Urban Communities: A Comparative Review, Pacific Northwest Transportation Consortium, U.S. Department of Transportation, start date: March 2021, expected completion date: March 2022. Note: The project is still active; project deliverables are not yet available.
Transportation agency policymakers and professionals will learn about the strengths, weaknesses and future directions of internet of things platforms from a comprehensive review of interoperability, functional capabilities, delivery models and integration strategies.
► Related Resource: Research brief
“Overview of Road Traffic Management Solutions Based on IoT and AI,” Asma Ait Ouallane, Ayoub Bahnasse, Assia Bakali and Mohamed Talea, Procedia Computer Science, 2022.
Emerging technologies such as artificial intelligence (AI), internet of things and big data were used to develop road traffic management solutions on existing infrastructure.
Research in Progress
An Innovative Internet of Things (loT) Technology for Comprehensive Traffic Sensing and V2X Applications, Washington State Department of Transportation, Federal Highway Administration, start date: March 2021, expected completion date: September 2022.
Mobile Unit for Sensing Traffic (MUST) sensors installed along four roadways in suburban Seattle will demonstrate their data collection, condition assessment and vehicle-to-everything (V2X) application capabilities. Researchers will establish a standard procedure for state transportation agencies to use MUST sensors to improve road safety.