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Towards real-time predictions using emulators of agent-based models

by rhas972 | Feb 26, 2024 | Future & Intelligent & Transport Systems

A new research showcases a breakthrough in real-time predictions of complex systems, like pedestrian movements, through advanced emulation techniques that overcome the limitations of Agent-Based Models. Minh Le Kieu, Hoang Nguyen, Jonathan A. Ward, Nick Malleson...

Perception, experience and resilience to risks: a global analysis

by rhas972 | Feb 26, 2024 | Future & Intelligent & Transport Systems

A groundbreaking study unveils a comprehensive global analysis of individual risk perceptions and resilience, revealing significant disparities and the pivotal role of income perception in shaping resilience.. Minh Kieu & Gayani Senanayake Please read the abstract...

A class-specific soft voting framework for customer booking prediction in on-demand transport

by rhas972 | Feb 26, 2024 | Future & Intelligent & Transport Systems

A new research introduces a groundbreaking ensemble learning method to precisely predict customer bookings for suburban and rural On-Demand Transport services, overcoming data scarcity challenges Le-Minh Kieu, Yuming Ou, Long T. Truong, Chen Cai Please read the...

CleanTech Networking Event –  The climate tech landscape: what’s real and what’s just hot air?

by jgil327 | Nov 21, 2022 | Events, Future & Intelligent & Transport Systems, News

On Tuesday 8 November, we welcomed Ben Soltoff, Entrepreneur in Residence and Ecosystem-Builder at the Massachusetts Institute of Technology’s Martin Trust Center to the Unleash Space for our CleanTech Networking Event in collaboration with the Business...

Recent Posts

  • Looking at the big picture: Can we rely on satellite data to inform road maintenance decisions?
  • Evaluation of the behavior of the interface zone between an asphalt mixture and an inductive power transfer pad
  • Effect of reactive ethylene terpolymer modification on bitumen’s microstructure, rheology, and porous asphalt mix properties
  • Effects of Pedestrians’ Assertiveness on Drivers’ Yielding Behavior at Mid-Block Sections: An Application of Bayesian Structural Equation Modeling
  • TRC TO CO-HOST TTEc CONFERENCE 2024

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