Engineering Commons^™

A Framework For Integrating Transportation Into Smart Cities, Susan Shaheen, Adam Cohen, Mark K. Dowd, Richard Davis

Mineta Transportation Institute

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to:

1. Understand what a smart city is and how to replicate smart city successes;
2. The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and
3. Understand the role of shared micromobility, big data, and other key issues impacting communities.

This research provides recommendations for policy and professional practice …

Assessing The Impact Of Game Day Schedule And Opponents On Travel Patterns And Route Choice Using Big Data Analytics, Anuj Sharma, Vesal Ahsani

Nebraska Department of Transportation: Research Reports

The transportation system is crucial for transferring people and goods from point A to point B. However, its reliability can be decreased by unanticipated congestion resulting from planned special events. For example, sporting events collect large crowds of people at specific venues on game days and disrupt normal traffic patterns.

The goal of this study was to understand issues related to road traffic management during major sporting events by using widely available INRIX data to compare travel patterns and behaviors on game days against those on normal days. A comprehensive analysis was conducted on the impact of all Nebraska Cornhuskers …

Advancing Distributed Data Management For The Hydroshare Hydrologic Information System, Hong Yi, Ray Idaszak, Michael Stealey, Chris Calloway, Alva L. Couch, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

HydroShare (https://www.hydroshare.org) is an online collaborative system to support the open sharing of hydrologic data, analytical tools, and computer models. Hydrologic data and models are often large, extending to multi-gigabyte or terabyte scale, and as a result, the scalability of centralized data management poses challenges for a system such as HydroShare. A distributed data management framework that enables distributed physical data storage and management in multiple locations thus becomes a necessity. We use the iRODS (Integrated Rule-Oriented Data System) data grid middleware as the distributed data storage and management back end in HydroShare. iRODS provides a unified virtual file system …