Connected Cities with Smart Transportation
The ubiquity of GPS-equipped mobile devices has enabled the collection of human mobility data with high spatiotemporal granularity. Indeed, there now exists an ecosystem of both data providers and consulting
This year's panelists are Dr. Semiha Ergan, Professor at NYU; Geline Canayon, Senior Project Manager at Aimsun & Vice President of ITE MET Section; and Alia Kasem, Senior Data Scientist at NYC
In this seminar, I will introduce GPUDrive, a high-performance, data-driven driving simulator that operates at 1 million FPS. GPUDrive is built on the Madrona Game Engine and uses GPU acceleration
The increasing frequency and severity of drought events worldwide demand innovative approaches that can effectively characterize, track, predict, and assess impacts of the complex spatiotemporal dynamics of water scarcity. This
Abstract: In this course, we will discuss the decision theory of random utility maximization and discrete choice models (DCMs) including multinomial logit (MNL), nested logit (NL), mixed logit (MXL), and
Autonomous vehicles (AVs) rely on deep neural networks (DNNs) for critical tasks such as environment perception—identifying traffic signs, pedestrians, and lane markings—and executing control decisions like braking, acceleration, and lane
Artificial intelligence (AI) is revolutionizing the architecture, engineering, and construction (AEC) industry by driving innovation across planning, design, construction, and operations. At the core of this transformation is the ability
This student-moderated Fireside Chat will feature David Hammer, co-founder of Popwheels, a cutting-edge e-bike battery swap network. David will discuss his career trajectory, the challenges of standing up urban-scale technology
Self-play has powered breakthroughs in two-player and multi-player games. Here we show that self-play is a surprisingly effective strategy in another domain. We show that robust and naturalistic driving emerges
In Italy, public transport is typically operated by private companies under service contracts including penalties for non-compliance. Therefore, detecting anomalous traffic days is key to fairly assigning delay responsibility for