A-TEAM: Advanced Traffic Event Analysis and Management Platform for Transportation Data-Driven Problem Solving
Zilin Bian, Dachuan Zuo, Jingqin Gao, Kaan Ozbay, Matthew D. Maggio

TL;DR
This paper presents A-TEAM, a modular platform designed for deploying real-time traffic management applications that integrate data-driven models, databases, and user interfaces for practical transportation problem solving.
Contribution
It introduces a flexible, modular architecture enabling customization and deployment of data-driven traffic management solutions in real-world environments.
Findings
Successful implementation of a work zone management application
Enhanced decision support for traffic engineers
Demonstrated flexibility of the modular platform
Abstract
The rapid growth in terms of the availability of transportation data provides great potential for the introduction of emerging data-driven methodologies into transportation-related research and development efforts. However, advanced data-driven models, such as artificial-intelligence based approaches, usually contain complicated modeling structures and require strict data formats along with a very complex execution environment. It is thus often challenging to deploy and implement such data-driven models in a real-world environment. Moreover, a full-fledged application requires not only well developed and calibrated models, but also efficient connections with back end infrastructure such as large databases and front end utilities, such as a user-interface. This paper introduces a novel platform which provides an integrated architecture for deploying multi-purpose real-time traffic…
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Taxonomy
TopicsTraffic Prediction and Management Techniques · Software System Performance and Reliability
