1 code implementation • 29 Aug 2023 • Xinglei Wang, Meng Fang, Zichao Zeng, Tao Cheng
We posit that our research marks a significant paradigm shift in human mobility modelling, transitioning from building complex domain-specific models to harnessing general-purpose LLMs that yield accurate predictions through language instructions.
1 code implementation • 20 Feb 2022 • Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang
Our solution is to estimate independent affinity matrices in each SPN iteration, but it is over-parameterized and heavy calculation.
no code implementations • 31 Jan 2021 • Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng
Cycling is a promising sustainable mode for commuting and leisure in cities, however, the fear of getting hit or fall reduces its wide expansion as a commuting mode.
no code implementations • 22 Oct 2019 • Mohamed R. Ibrahim, James Haworth, Tao Cheng
Despite the significance of this subject, it is still not been fully addressed by the machine intelligence relying on deep learning and computer vision to detect the multi-labels of weather and visual conditions with a unified method that can be easily used for practice.
no code implementations • 10 Sep 2018 • Mohamed R. Ibrahim, James Haworth, Tao Cheng
How can deep learning and Artificial Intelligence (AI) untangle the complexities of informality to advance urban modelling and our understanding of cities?
no code implementations • 14 Aug 2018 • Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth
We applied the model in five major cities in Egypt and India that have spatial structures in which informality is present.
no code implementations • Journal of Transport Geography 2013 • Ioannis Tsapakis, Tao Cheng, Adel Bolbol
This study aims to investigate the impact of different intensities of rain, snow and temperature levels on macroscopic travel times in the Greater London area (UK) during the period 1 October–10 December 2009.
no code implementations • Computers, Environment and Urban Systems 2012 • Adel Bolbol, Tao Cheng, Ioannis Tsapakis, James Haworth
Understanding travel behaviour and travel demand is of constant importance to transportation communities and agencies in every country.
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