Chris Hendrickson Attends Odyssey Day

October 6 th, 2017

T-SET researcher Chris Hendrickson attended Odyssey Day in Oakdale, hosted by Pittsburgh Regional Clean Cities and the Community College of Allegheny County, a consortium member of CMU’s UTC for Improving Mobility. Odyssey day is an annual event that focuses on leading edge research promoting alternative fuels and advanced technology vehicles. Activities included Ride-n-Drives, vehicles displays of a Chevy BOLT and Chrysler Pacifica, workshops, demonstrations of mobile refueling and electric boom lift, panel discussions and more.

UTC’s Chris Hendrickson Presents to Fellow UTC

October 4 th, 2017

Traffic21 Director Chris Hendrickson presented as a distinguished speaker at a transportation seminar held by the Transportation Research Institute at the University of Michigan in Ann Arbor. Hendrickson presented CMU’s research efforts in ‘transformational transportation technologies’ supported by Traffic21 and related University Transportation Centers. His presentation is available here.

UTC Faculty Sean Qian Published in Elsevier Journal Transportation Research

June 1 st, 2017

June 1, 2017

The Elsevier Journal published UTC Faculty, Sean Qian and another CMU researcher in their Transportation Research for their research into a theoretical approach to identify optimal traffic routing strategy for managing transportation systems. Read the full article titled “A stochastic optimal control approach for real-time traffic routing considering demand uncertainties and travelers’ choice heterogeneity.”

UTC Faculty Published in Elsevier Journal for Work with Lane Management Models for AV

May 30 th, 2017

May 30, 2017

Infrastructure will have to adapt to connected and autonomous vehicles. UTC Faculty, Sean Qian and a team were published in Elsevier Journal for a model can serve as a useful decision tool for near future CAV lane management. Read the full article titled “A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method”

UTC Faculty Published for work with Statistical Traffic Assignment

May 14 th, 2017

May 14, 2017

Static traffic assignments play an important role in roadway operations and planning. UTC Faculty Sean Qian was published in the Elsevier Journal’s Transportation Research for his work titled ‘On the variance of recurrent traffic flow for statistical traffic assignment” Read the full article.

UTC Faculty and Team Published in Elsevier Journal for Meter Data Research

February 27 th, 2017

February 28, 2017

UTC Faculty Sean Qian and another CMU Faculty member from CEE were published in the Elsevier Journal’s Transportation Research on estimating on-street time-varying parking. Read the full article titled “Turning meter transactions data into occupancy and payment behavioral information for on-street parking.”

UTC Faculty Published for Research on Fare Policies

January 28 th, 2017

2017

Have you ever wondered if fare policies on public transit effect dwell time? UTC Faculty Sean Qian used Pittsburgh as a case study to answer the question. Read the full article “Effect of Fare Policies on Dwell Time” to learn more.

UTC Faculty Published in Elsevier Journal

July 1 st, 2016

July, 2016

UTC Faculty Sean Qian and Costa Samaras were published in the Elsevier Journal’s Transportation Research for their research on Effectiveness of incentives on electric vehicle adoption in Norway. To learn how effective Norway adopted electric vehicles, Read the Full Article.

UTC Faculty Sean Qian Published in Elsevier Journal

February 21 st, 2016

February 21, 2016

UTC Faculty and Director of the Data Mobility Center, Sean Qian, was published in the Elsevier Journal’s Transportation Research for his work with Real-time traffic incident detectionusing social media data. To learn how we can use social media to predict traffic, read the full article.

UTC Faculty Sean Qian Published in Elsevier Journal

February 16 th, 2016

February 16, 2016

UTC Faculty Sean Qian, was published in the Elsevier Journal’s Accident Analysis and Prevention for his work with investigating driver injury severity patterns in rollover crashes using support vector machine models. To learn more about this research, read the full article.

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