Texas A&M Transportation Institute (TTI) Associate Research Scientist Subasish Das will publish the book Artificial Intelligence in Highway Safety (1st edition) September 29, 2022, with CRC Press/Routledge, part of the Taylor & Francis Group. In this book, Das discusses advances in the highway safety field that involve artificial intelligence (AI) technologies. He specifically addresses how […]
Subasish Das
TTI’s Kong Receives Distinguished Graduate Student Award
Texas A&M Transportation Institute (TTI) Graduate Research Assistant Xiaoqiang “Jack” Kong was recently presented a 2022 Association of Former Students Distinguished Graduate Student Award for Excellence in Research — Doctoral by Texas A&M University’s Graduate and Professional School at an awards ceremony Apr. 25 in the Rudder Forum. One of Texas A&M’s highest honors, the […]
TTI’s Kong Publishes Article in Case Studies on Transport Policy
Xiaoqiang “Jack” Kong, Texas A&M Transportation Institute (TTI) graduate research assistant, published the article “Work from Home in the Post-COVID World” in Case Studies on Transport Policy. The transport policy field blends engineering, economics, sociology and law to develop key solutions. Case Studies on Transport Policy pairs theoretical analyses with case studies to better inform […]
Das Publishes Transportation Research Record Analysis in TR News
Texas A&M Transportation Institute (TTI) Assistant Research Scientist Subasish Das published the article, “Data Dive Into Transportation Research Record Articles: Authors, Coauthorships and Research Trends,” in the Jan.–Feb. 2021 issue of TR News, the Transportation Research Board’s bimonthly magazine. In the article, Das examines the Transportation Research Board’s Transportation Research Record (TRR), a peer-reviewed journal. […]
Winfree, Das Featured in Traffic Technology International
The September 2020 issue of Traffic Technology International features Texas A&M Transportation Institute Agency Director Greg Winfree and Assistant Research Scientist Subasish Das. Das was interviewed for a story on using artificial intelligence to predict exactly where and when crashes will occur so that road authorities can prioritize funding for safety improvements in a targeted […]