Achieving Efficiencies within ODOT with the Event Streaming Platform (RFP)

The Ohio Department of Transportation (ODOT) currently has a vast amount of data that is being used within each division/office. This data has traditionally been housed separately within those divisions/offices and limited data sharing has been performed. This restricts innovative improvements to processes from being imagined and developed, due to the lack of knowledge of available data. As a result, some divisions/offices may be performing burdensome and extensive manual processing of data unnecessarily.

The goal of this research is to identify methods in which automation can be utilized to improve and make existing ODOT processes more efficient.

Other objectives of this research include the following:
• Identify ways in which data automation processes may be used/developed to support the functions of each division/office within ODOT.
• Define use case requirements and workflows including identifying problem statements, inputs, processing method, outputs and quality measures and validations.
• Develop statements of work to define requirements, data gaps and needs for future application development.
• Identify available third-party data sets that can be used to support transportation use cases.

Submission deadline: March 1 at 3:00 p.m. Learn more here, or read more on the ODOT webpage.

Share this page
Suggested Articles
Foundations of Data Science & AI Community of Practice bridges connections into foundational and applied research with AI

The Foundations of Data Science & AI Community of Practice at TDAI aims to build a community at Ohio State focused on artificial intelligence, as well as theoretical and algorithmic foundations,...

$500K Pandemic Response Challenge-Invitation to Register!

XPRIZE and Cognizant have launched the Pandemic Response Challenge, a new $500K, four-month competition. This challenge will focus on the development of AI and data-driven systems to predict COVID-19 infection rates...

Colleges use data analytics to improve network performance

With its Translational Data Analytics Institute and robust data analytics major for undergraduate students, Ohio State has grown its data analytics know-how to create solutions with industry and educate a much-needed workforce. It’s...

Grejner-Brzezinska named to National Academy of Engineering

TDAI affiliate Dorota Grejner-Brzezinska, associate dean for research in Ohio State’s College of Engineering, has become the first woman from the university to be named to the National Academy of Engineering. Grejner-Brzezinska,...

High GPAs could hurt young women job hunters

Stellar grades in college could hurt – rather than help – women new to the job market, according to a new study that suggests employers place more value on the...