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Baichuan Mo

Researcher at Massachusetts Institute of Technology

Publications -  37
Citations -  421

Baichuan Mo is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Computer science & Smart card. The author has an hindex of 8, co-authored 24 publications receiving 159 citations. Previous affiliations of Baichuan Mo include Tsinghua University.

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Modeling epidemic spreading through public transit using time-varying encounter network.

TL;DR: A scalable and lightweight theoretical framework is derived to capture the time-varying and heterogeneous network structures, which enables to solve the problem at the whole population level with low computational costs.
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Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions

TL;DR: In this article, the authors use behavioral knowledge for designing a particular DNN architecture with alternative-specific utility functions (ASU-DNN) and thereby improving both the predictive power and interpretability.
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Speed profile estimation using license plate recognition data

TL;DR: A new vehicle speed profile estimation model using license plate recognition (LPR) data is proposed and results show that the model can fully capture the pattern of ground truth speed profile.
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Competition between shared autonomous vehicles and public transit: A case study in Singapore

TL;DR: In this article, the authors examined the competitive perspective where both AV and PT operators are profit-oriented with dynamic adjustable supply strategies under five regulatory structures regarding whether the AV operator is allowed to change the fleet size and whether the PT operator was allowed to adjust headway.
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Impact of Built Environment on First- and Last-Mile Travel Mode Choice:

TL;DR: In this paper, the impacts of built environment (BE) on the first and last-mile travel modal choice are studied. And the authors select Singapore as a case study, where the data used for this work is extracted from the first...