Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.3
Journals
Sustainability
Special Issues
Advanced Modeling versus Experiment in Multimodal and Automated Transport Systems
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advanced Modeling versus Experiment in Multimodal and Automated Transport Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 5695

Special Issue Editors

Dr. Mohcine Chraibi

E-Mail Website
Guest Editor
Forschungszentrum Jülich GmbH, Institute for Advanced Simulation, Civil Safety Research (IAS-7), Wilhelm-Johnen-Straße, 52425 Jülich, Germany
Interests: pedestrian modelling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jun Zhang

E-Mail Website
Guest Editor
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China
Interests: pedestrian dynamics; route choice; virtual reality; pedestrian evacuation
Prof. Dr. Jian Ma

E-Mail Website
Guest Editor
Department of Safety Engineering, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Interests: pedestrian traffic; evacuation dynamics, experiment; simulation
Prof. Dr. Antoine Tordeux

E-Mail Website
Guest Editor
Division for Traffic Safety and Reliability, School for Mechanical Engineering and Safety Engineering, University of Wuppertal, 42119 Wuppertal, Germany
Interests: traffic flow modelling; connected and autonomous vehicles; pedestrian and evacuation dynamics

Special Issue Information

Dear Colleagues,

Modeling and simulation are among the most important and effective methods for investigating complex phenomena related to pedestrian dynamics. This Special Issue aims to emphasize the role of intertwined experimental and numerical investigations on pedestrian dynamics as a pathway for the sustainable development of methods for the safety of the crowd.

Trustworthy simulations based on empirically validated models enable architects and event managers to perform effective analyses of planned concepts and evaluate different design alternatives while avoiding risks and costs associated with extensive field experimentation. This is even more crucial when experiments under laboratory conditions cannot be performed for cost or ethical reasons.

Experimental studies and numerical simulations have always been inherently complementary and never adversarial. On one hand, experimental verification is essential to confirm model validity, but its role extends beyond that. For example, the discovery of new rules that govern the dynamics of a crowd inspires new modeling ideas and encourages more numerical investigation. On the other hand, simulations of complex scenarios can give rise to interesting observations and open the door to new insights, which in turn can serve as catalysts for new experimental studies. Take as an example the faster-is-slower effect—a phenomenon that was exclusively known and intensively investigated in the realm of numerical simulations, until it was demonstrated through experiments under laboratory conditions.

Setting aside the epistemological significance of experiments, a question nevertheless remains open: what is the exact contribution of experiments and field observations, relative to only studying them in situ? How can the statistical relevance of experimental data be enhanced in a cost-effective way? What are the available means and tools to intertwine experimental and numerical studies of pedestrian dynamics?

This Special Issue aims to provide a comprehensive overview of current ideas and findings in experiments and modeling for pedestrian dynamics. Specifically, the issue aims to: (i) present the current state-of-the-art about pedestrian dynamics with regards to the design of experiments, field observations, mathematical modeling; and (ii) identify potential research directions and technologies that will drive innovations in the field of pedestrian dynamics.

Additionally, this Special Issue also welcomes submissions employing new and emerging technologies and approaches such as virtual and augmented reality, artificial intelligence, and agent-based modeling involving sociological elements.

This Special Issue invites original and innovative research papers with critical perspectives for current and new applied approaches, and encourages works investigating new statistical methods to manually or automatically assess the goodness of models. The papers collected in this Special Issue will cover these topics from diverse multi- and cross-disciplinary perspectives, including theory, numerical methods, and experimental studies.

We invite contributions from physics, civil engineering, sociology, and computer science addressing the relationship between experiment and numerical simulation.

Dr. Mohcine Chraibi
Prof. Dr. Jun Zhang
Prof. Dr. Jian Ma
Prof. Dr. Antoine Tordeux
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • physics-based modeling
  • deep-learning
  • artificial intelligence
  • experiment
  • evacuation drills
  • pedestrian dynamics
  • traffic dynamics
  • virtual reality
  • augmented reality

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 6282 KiB  
Article
Analysis of Cooperation Behaviors and Crowd Dynamics during Pedestrian Evacuation with Group Existence
by Yaping Ma, Xiaoying Liu, Feizhou Huo and Hui Li
Sustainability 2022, 14(9), 5278; https://doi.org/10.3390/su14095278 - 27 Apr 2022
Cited by 9 | Viewed by 2049
Abstract
At most public places where large-scale events are held, the crowd as a pedestrian particle system is a mixture of individuals and groups rather than a pure collection of individuals. The interaction behaviors of pedestrians within the same group and between different groups [...] Read more.
At most public places where large-scale events are held, the crowd as a pedestrian particle system is a mixture of individuals and groups rather than a pure collection of individuals. The interaction behaviors of pedestrians within the same group and between different groups are significantly disparate, which makes the crowd evacuation process more complex. To address this issue, a new pedestrian evacuation model is proposed incorporating the cellular automaton model and game theory. In the model, two game theory models named prisoner’s dilemma and harmony game are applied to depict the interaction mechanism between pedestrians, and the decision-making of one pedestrian regarding route choice is subject to the environment factor and interaction payoffs between his neighbors. The influences of the intensity of interaction between pedestrians, the willingness to cooperate, the number of groups, the size of groups, and the initial distribution pattern of groups on the evacuation dynamics and cooperation evolution of the crowd are discussed. Simulation results show that it is beneficial to the evacuation efficiency and the formation of cooperation behaviors when pedestrians have a low intensity of interaction. As the willingness of large groups to cooperate is high, an increase in group’ sizes and numbers can improve the cooperation fraction of the crowd but prolongs evacuation time. Groups in the crowd gathered together initially negatively affect the evacuation efficiency of the crowd. Full article
(This article belongs to the Special Issue Advanced Modeling versus Experiment in Multimodal and Automated Transport Systems)
►▼ Show Figures

Figure 1

17 pages, 12924 KiB  
Article
Modeling and Simulation of Exit Selection Behavior in Pedestrian Evacuation Based on Information Perception and Transmission
by Mengting Liu, Wei Zhu, Yafei Wang and Jianchun Zheng
Sustainability 2021, 13(23), 13194; https://doi.org/10.3390/su132313194 - 29 Nov 2021
Cited by 5 | Viewed by 1894
Abstract
This paper aims to present an improved evacuation model, which is capable of simulating individual exit selection behavior based on the acquisition and processing of information, especially in dangerous and unfamiliar environments. Firstly, an evacuation model was improved by the introduction of a [...] Read more.
This paper aims to present an improved evacuation model, which is capable of simulating individual exit selection behavior based on the acquisition and processing of information, especially in dangerous and unfamiliar environments. Firstly, an evacuation model was improved by the introduction of a floor field of gas concentration and an exit selection model, considering the congestion avoidance and danger avoidance behavior. Secondly, the process of information perception and transmission was studied and introduced into the model with a set of rules. Finally, real experiments in a simple double-exit room were conducted for model validation and parameter setting, and simulation experiments in scenarios with an unknown hazard or unknown exits were conducted to confirm the necessity and rationality of introducing information perception and transmission. The simulation results show that, with the increase in perception distance or trust extent, the pedestrian safety increases. The critical values of perception distance or trust extent, below which some people cannot acquire any new information, vary depending on the pedestrian density. When the density is high, the influence of perception distance or trust extent reduces, and the probability of reselecting an exit increases, which causes the safety of pedestrians to decrease. Full article
(This article belongs to the Special Issue Advanced Modeling versus Experiment in Multimodal and Automated Transport Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop