Cirque Data Soleil
Wednesday, October 11, 2017
8 a.m. - 9:30 a.m. EDT
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Using GPS Based Origin-Destination Data to Improve Traffic Studies
Estimating travel patterns for traffic studies such as traffic impact analyses and corridor studies is a critical element of the
study process, however, traditionally sources for this data have been limited to travel demand model output or
"engineering judgement". New sources of data are now available that can significantly increase the accuracy and
understanding of travel patterns within the transportation network. This data is anonymously aggregated from GPS
devices such as phones and fleet vehicles and provides an insight into travel metrics that was not available before.
TranSystems has utilized this data in several ways. Examples include development of vehicle routing patterns for
simulation modeling on corridor studies, estimating re-routing of traffic due to planned changes in roadway networks and
for developing traffic routing for traffic impact studies. This presentation will demonstrate how this data was applied for
these various applications and some of the insights learned in the process.
Utilizing Bluetooth Technology for Engineering Applications
Traditional traffic data and collection means aren't always sufficient to fully examine existing and proposed roadway
conditions. This presentation will cover a case study on SR 82 in Trumbull County where Bluetooth technology was used
to build an area-wide 3D traffic model to simulate existing conditions and allow a more thorough assessment of potential
improvements to address traffic and safety.
Data Business Plans: A Tool to Maximize Mobility and Safety Data to Support Planning and Operations
A key challenge for transportation agencies today relates to maximizing the utility of the large number of data streams
currently available to support mobility, safety, technology deployment, asset management, performance management
and transportation system management and operations. Many State DOTs and regional transportation agencies have
developed Data Business Plans to plan for efficient use of people, processes, and technology; link business objectives,
programs, and processes to data systems, services and products; and guide future data management practices. These
Data Business Plans: help understand what mobility/safety data is being collected; help understand how the data
supports mobility planning, operations & performance measure activities; help understand who is responsible for
managing/updating the data; solidify working relationships; help identify duplicative data collection efforts; and lead to
more rapid, targeted data acquisitions and reduced costs
Invited SpeakerPrincipal at Cambridge Systematics, Inc.
Jerry Garrison, Jerry.Garrison@dot.ohio.gov