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.

Traffic21 and T-SET UTC’s Courtney Ehrlichman attended Mobility Lab’s Symposium, “Autonomous Vehicles: Planning Impacts on Cities and Regions” in Washington D.C. The symposium, convened by the American Planning Association, National League of Cities, Eno Transportation Center, and others, included panel discussions and scenario-base planning to set the direction for future research and education to prepare cities and regions for new technologies.

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.

Traffic21 and T-SET UTC congratulate Chris Hendrickson for his role in the Transportation Research Board’s Future Interstate Study. Hendrickson is one of fourteen committee members- experts in transportation research, planning, and policy, who will play an integral role in revisioning our interstate system. Over the course of 30 months, members will hear from key stakeholder groups and compile a comprehensive final report. To get updates about the Future Interstate Study, let the committee know by e-mailing interstate@nas.edu.

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.”

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”

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.

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.”

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.

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.

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.

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.