2024 Events
| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | Sponsored Conferences/Workshops |
Highway Capacity Analyses Made Simple – Introducing the HCM Reference GuideFMRI & Co-hosted by the ITE FAU Student Chapter For decades, the Highway Capacity Manual has been an essential standard for evaluating the capacity and level of service of several road elements. As the methods evolved, so did the complexity of its calculations. The current release (7th Edition) has 38 chapters and 2,500+ pages, which may be intimidating for those who do not work with it on a daily basis. The HCM Reference Guide, published in 2022, is a concise document intended to provide essential knowledge to those analyzing or reviewing studies based on the HCM. It supplements, fills gaps, further explains, and provides key insights into some complex procedures that are often misunderstood. This webinar will provide an overview of the HCM Reference Guide and discuss potential applications of this document. Presented by Fabio Sasahara, Associate Director at McTrans Center at the University of Florida. |
Enhancing Transportation Safety and Infrastructure Intelligence Through Customized AI and Edge ComputingFMRI & Co-hosted by the ITE FAU Student Chapter This presentation will explore the pivotal role of Artificial Intelligence (AI) in enhancing road transportation systems, boosting infrastructure intelligence, and improving transportation safety. Given that transportation networks extend across both urban and rural areas, the limitations in bandwidth and the costs associated with the communication network may prevent the timely transfer of all roadway data for processing in the cloud or on a server. Furthermore, numerous transportation applications, such as those involving connected vehicles, demand near-real-time responses to guarantee safety and efficiency. Consequently, there's a significant push towards processing, storing, and analyzing data at the edge—closest to where data is produced or utilized—giving rise to a rapidly expanding research area known as edge computing. Dr. Yinhai Wang, professor at the University of Washington (UW), will provide real-world examples to demonstrate how tailored AI approaches are developed and implemented on edge computing platforms to boost transportation safety and infrastructure intelligence. Opportunities of AI research and applications as well as potential challenges with AI, such as concerns related to privacy, security, and equity, will also be discussed in this talk. |
Key Aspects of Decision Making in TransportationFMRI & Co-hosted by the WTS FAU Student Chapter This online webinar will feature Dimitrios J. Dimitriou and Dr. Maria Sartzetaki. |