Welcome to the CVI-UTC website!

The mission statement of the Connected Vehicle/Infrastructure University Transportation Center (CVI-UTC) is to conduct research that will advance surface transportation through the application of innovative research and using connected-vehicle and infrastructure technologies to improve safety, state of good repair, economic competitiveness, livable communities, and environmental sustainability.

Featured Personnel

Arash Jahangiri
Arash Jahangiri is a PhD student with the Charles E. Via, Jr. Department of Civil and Environmental Engineering at Virginia Tech. He received his Master’s and Bachelor’s degree in Civil Engineering from Iran University of Science and Technology. Thereafter, he started his PhD program at Virginia Tech and worked as a Graduate Research Assistant for about two years on the area of Evacuation while he was in Northern Virginia Center (NVC) at Virginia Tech, Falls Church Campus. Research conducted at Virginia Tech Transportation Institute (VTTI) in Blacksburg on different areas such as connected vehicles, traffic safety, and etc. piqued his interest, so he decided to get a Master’s degree with a thesis on the field of Evacuation and then move to Blacksburg to pursue his PhD at VTTI. Jahangiri is currently working as a Graduate Research Assistant at the Center for Sustainable Mobility (CSM) and Center for Infrastructure-Based Safety Systems (CIBSS), both at VTTI. His current research interests comprise Intelligent Transportation Systems, Traffic Safety, and Traffic Flow Theory. His hobbies include playing soccer, travelling, and watching movies... Read More

The OST Office of Research and Technology (OST-R) presents…

Professor Hesham A. Rakha, Ph.D., P. Eng.

Virginia Tech Transportation Institute

(A partner of the University of Idaho Consortia)

Wednesday, September 17, 2014
1:00pm – 2:00pm EST West Building Conference Center Rooms 8-9-10
Transportation Sustainability: What can Intelligent Transportation Systems Offer?

The transportation sector consumes around 100 quadrillion BTUs of energy worldwide [was 96 quad in 2011 according to the IEA, and the sector is only growing], which is mostly petroleum-based products including gasoline and diesel fuels. More than 7 gigatonnes of CO2 emissions [7 Gt CO2 is the value for 2011 according to the IEA] are also attributed to the transportation sector, and represent about 20% of the total CO2 emissions from fuel combustion. However, it would be difficult to imagine our modern life without motorized transportation. Alternative transportation energy sources such as hybrid-electric technologies, bio-ethanol, and hydrogen fuel cells are emerging and are being broadly investigated as replacements for the conventional internal combustion engine. However, these new alternatives have not been able to replace petroleum-powered engines because of challenges that relate to availability, cost, convenience, lack of technology, and accessibility. Consequently, there is a need to improve the efficiency of travel in urban and rural areas. One of the key strategies to improving vehicle fuel efficiency is obtaining more miles from each liter or gallon of fuel. The presentation will highlight some of the research being conducted at the Center for Sustainable Mobility at the Virginia Tech Transportation Institute to use Intelligent Transportation System (ITS) technology to achieve these goals.

The presentation will highlight the work on (1) developing vehicle fuel consumption and emission models that can be calibrated using publically available data; (2) studying the impact of driver routing decisions on their fuel consumption level; (3) developing eco-routing systems that minimize the fuel consumption and carbon footprint of urban transportation networks; (4) developing intelligent eco-cruise control and adaptive cruise control systems; (5) sharing and receiving information with traffic signal controllers to reduce vehicle fuel consumption levels in the vicinity of traffic signalized intersections; and (6) developing novel autonomous vehicle control systems at intersections to reduce vehicle delays and fuel consumption levels.