During the eye-tracking measurement—using a Tobii Pro eye camera—the participants were asked to watch a video shot inside an autonomous vehicle. The video was compiled from publicly available sequences according to two aspects:

1) Different situations are shown from different positions,

2) The eye movements observed at the beginning and at the end of the video can be compared to some extent; therefore, we selected the first and last sections of the video in such a way that the subjects can watch the ride from the same angle and have relatively more time to become involved in the given situation.

The recording consisted of 5 different sequences, within which we defined 29 areas of interest (AOI) 

In terms of the data collected via eye cameras, four important measures can be defined:

−      Average fixation duration: how long a fixation lasted on average within the given AOI.

−      Fixation count: number of fixations within the given AOI.

−      Total fixation duration: total length of fixations within the given AOI.

−      Pupil diameter (right/left): the change in right and left pupil diameter within the given AOI.

1. This dataset contains all the RAAML files for the architecture design of the urban intersection information physical system proposed in this studyTo open this file, the MagicDraw software mentioned in this article needs to be used.
2. The architecture design file utilizes the RAAML database released by OMG by extending the functionality of UML and SysML. This database includes basic models related to reliability analysis, which have now been imported into the provided dataset. Please refer to OMG Risk Analysis and Assessment Modeling Language, Risk Analysis and Assessment Modeling Language (RAAML) Libraries and profiles for the original file, Version 1.0, OMG Document Number: ptc/21-12-02, http://www.omg.org/spec/RAAML.
3. The data involved in Section 4.6 of this article are all the results obtained in Section 4.5, and the response surface method built-in in Design Expert is used for relevant calculations.

This report delves into the practical application of Computational Fluid Dynamics (CFD) by simulating viscous channel flow through a sudden contraction in the laminar flow regime. The simulations were conducted using two distinct software platforms: Wolfram Mathematica and COMSOL Multiphysics. The primary goal is to compare the procedures and results obtained from each software, providing a deeper understanding of CFD principles and emphasizing the importance of validating simulation outcomes.

Data used in this study is based on questionnaire distribution in four Indonesian cities about Transport-SuperApps behaviour. 1,051 valid data are used for the analysis. The list of questions that were used in this study is described in the paper. The script and the packages for analysis were disclosed, however, due to funders’ terms and conditions, the data cannot be disclosed.

Total 312 participants in approximately equal proportions of males and females were invited to participate the decision-making experiments for the payoffs that were contingent on their performance. The participants were randomly assigned to 17 groups and they were required to make DTD route choices with no mutual communication. The following eight DTD scenarios with the same origin-destination (OD) pair were set.

• Scenario 1 was the baseline scenario containing a symmetric two-route network.
• Scenarios 2-5 extended Scenario 1 by using asymmetric two-route networks and different cost functions to investigate subject’s route choice behaviors under different cost feedback.
• Scenarios 6-7 employed asymmetric networks with three routes to observe more complicated route choice behavior.          •Scenario 8 extended the configuration to non-linear cost functions and different group sizes (24 subjects per group in Scenario 8, while 16 in others), which would demonstrate the robustness of the proposed theoretical model.