Speaker: Maryam Mousavi, Ph.D. Assistant Research Scientist, Texas A&M Transportation Institute
Faculty Host: : Dr. Xiao Li, Mobility Analysis Program, Texas A&M Transportation Institute
Abstract: Traffic congestion is monotonically increasing, and it is not only deteriorating traffic operation and degrading traffic safety but also imposing costs to road users. Among various roadway components, uncontrolled intersections and driveways provide complicated situations as the driving maneuvers are entirely dependent upon drivers’ judgment. Since urban arterials provide frequent unsignalized access points and accommodate high daily traffic volumes, analyzing their safety and operation is a priority. To enhance both traffic safety and operation, various conventional remedies have been implemented, but the effects of new technologies such as Autonomous Vehicles (AV) should also be determined. Therefore, in this seminar, we will discuss how various levels of AV Market Penetration Rates (MPR) influence the safety and operation of urban arterials nearby a driveway under different traffic levels of service (LOS). The safety and operation will be discussed under twenty-four different traffic simulation scenarios considering six AV MPRs of 0 %, 10 %, 25 %, 50 %, 75 %, and 100 %, and four traffic LOS A, B, C, and D. Traffic safety will be discussed by assessing traffic conflicts, and traffic operation will be analyzed through traffic density and speed.
This seminar series is co-organized by Department of Landscape Architecture and Urban Planning, Transportation Institute, and Institute of Data Science at Texas A&M University
Biography: Dr. Maryam Mousavi is an Assistant Research Scientist at Texas A&M Transportation Institute and has over seven years of experience in this field. She received her master’s and Ph.D. degrees in Transportation Engineering from Lousiana State University and Texas A&M University, respectively. Dr. Mousavi’s research interests include analyzing traffic safety, developing statistical crash prediction models, assessing and developing various surrogate safety measures, evaluating the safety and operational effects of implementing autonomous vehicles, and manipulating crash data. Overall, the main focus of her research is enhancing traffic safety and saving lives. To this aim, she has worked on various national and state-level projects, including the Federal Highway Administration (FHWA), National Science Foundation (NSF), National Cooperative Highway Research Program (NCHRP), U.S. Department of Transportation (USDOT), and Mississippi/Arizona/Texas Department of Transportation.
The Transportation Data Science Seminar Series is sponsored by the Department of Landscape Architecture and Urban Planning, the Texas A&M Transportation Institute and the Texas A&M Institute of Data Science. Please contact Xinyue Ye (LUAP), Michael Martin (TTI), or Xiao Li (TTI) for further information,
You can also click this link to join the seminar
