Traffic and Transportation Engineering
M.S., Engineering (Transportation)
Engineering (Civil & Environmental), B.S.
Richmond Times-Dispatch print
“Everybody has to have a new set of skills,” said John Leonard, executive associate dean at the VCU College of Engineering. “It’s what people need to know how to do in the digital economy we have now.” “It’s a computer science degree plus,” said Leonard, with VCU’s College of Engineering. Leonard regards the credentialing programs as a close fit with the tech talent pipeline and other new state investments in cybersecurity and STEM education. It’s also a good fit for VCU and its expanding emphasis on high-tech disciplines, both at the university and in partnership with local community colleges, Leonard said.view more
A simple yet efficient traffic flow model, in particular one that describes vehicle longitudinal operational control and further characterizes a traffic flow fundamental diagram, is always desirable. Though many models have been proposed in the past with each having its own merits, research in this area is far from conclusive. This paper contributes a new model, i.e., the longitudinal control model, to the arsenal with a unique set of properties. The model is suited for a variety of transportation applications, among which a concrete example is provided in this paper.
This study investigates when and why business travelers make changes to their airline itineraries. Results are based on tickets purchased over a 9-month period by employees of a university in Atlanta, US. The ability to track repeat passengers purchases across time allows analysis of how passenger cancellation behavior differs by frequency of travel as well as by carrier. Results indicate that frequent travelers and those purchasing from Delta versus AirTran are more likely to request ticketing changes. Other factors influencing cancellation behavior include the time from ticket purchase, time before flight departure, and whether the itinerary is for the outbound or inbound portion of a trip.
The Internet provides new opportunities for aviation firms to develop decision support systems that take advantage of the wealth of detailed online pricing and product information. Although the airline industry has been able to incorporate large volumes of these data systematically into its business models, the academic community has generally conducted its analyses on a small set of nonrepresentative markets. The challenges and opportunities facing researchers who want to collect large volumes of data from airline websites and travel agencies are discussed. Several case studies are used to highlight the types of research questions that can be investigated with this type of data, including how average prices and price dispersion evolve in U.S. markets. A new sample design is proposed to enable researchers to investigate effects caused by carriers' pricing strategies and multiairport competition.