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Xiaomeng Li

Queensland University of Technology

SCHOLARLY PAPERS

3

DOWNLOADS

100

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Crossing Roads in a Social Context: How Behaviors of Others Shape Pedestrian Interaction with Automated Vehicles

Number of pages: 41 Posted: 10 Oct 2023
affiliation not provided to SSRN, Queensland University of Technology, Queensland University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN and Gustave Eiffel University
Downloads 57 (1,000,027)

Abstract:

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Automated vehicles (AVs), pedestrian behavior, external Human-Machine Interface (eHMI), social influence

2.

The nonlinear impact of road safety policy implementation on the severity of road traffic crashes: a fusion of deep learning and Bayesian random parameter methods

Number of pages: 22 Posted: 22 Oct 2025
Rui Shen, Lu Ma, Xuedong Yan and Xiaomeng Li
Beijing Jiaotong University, Beijing Jiaotong University, Southwest Jiaotong University and Queensland University of Technology
Downloads 24 (1,399,036)

Abstract:

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Crash Severity, traffic safety, XGBoost-SHAP model, Bayesian random parameter model

3.

Human-Like Attention Allocation for AV Car-Following Control in Lane-Changing Interactions

Number of pages: 27 Posted: 09 May 2026
Queensland University of Technology, Queensland University of Technology, Queensland University of Technology, Monash University, Queensland university of technology and Queensland University of Technology
Downloads 19 (1,481,165)

Abstract:

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Automated vehicles, Car-following control, Human-like attention allocation, Stability analysis, Lane-changing interactions

Other Papers (1)

Total Downloads: 0
1.

Deeptor: A Deep Learning Framework to Predict Driver'S Take-Over Promptness

Posted: 04 May 2022 Last Revised: 02 Aug 2022
Queensland University of Technology, Queensland University of Technology, Queensland University of Technology, Queensland university of technology, Deakin University, Queensland University of Technology, Queensland University of Technology and affiliation not provided to SSRN

Abstract:

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Deep Learning, Take-over Request, Automated Vehicles, Take-over Promptness