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Traffic Safety and Sustainable Crowd Management

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

Deadline for manuscript submissions: closed (30 October 2023) | Viewed by 7483

Special Issue Editors


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Guest Editor
Department of Traffic Engineering, Jiangsu University, Zhenjiang, China
Interests: traffic safety; pedestrian dynamics; crowd evacuation; safety management

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Guest Editor
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, 2 Dongnandaxue Rd, Nanjing 211189, China
Interests: active mode traffic; active traffic safety; human factors; intelligent transportation system
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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

Special Issue Information

Dear Colleagues,

With the continuous expansion of the urban population and improved traffic conditions, the frequency and duration of pedestrian travel have increased significantly. Statistical results have shown that traffic accidents involving pedestrians have become a major traffic safety concern. To reduce pedestrian casualties and ensure their safety, efforts to understand pedestrian and driver behaviors are needed. In addition, the frequency of large-scale crowds has resulted in serious challenges in maintaining the sustainable development and safety of our cities. Pedestrian dynamics involve complex transport characteristics and interesting collective phenomena, an understanding of which is highly relevant for a wide range of civil engineering applications for crowd management and pedestrian facilities’ optimization for urban development. This Special Issue will present state-of-the-art research on traffic safety, traffic flow, pedestrian dynamics and sustainable management.

Original research articles and reviews are both welcome. Research areas may include (but are not limited to) the following:

  1. Traffic safety analysis and evaluation for motorized vehicles, non-motorized vehicles and pedestrians.
  2. Traffic flow (motorized flow, bicycle flow and pedestrian flow) under various conditions or management measures.
  3. Experimental and modeling study on crowd evacuation, especially for improving the efficiency and safety of crowds via sustainable management.
  4. Optimizing the designs and operations of traffic facilities. Evaluating the effectiveness of measures on improving traffic capacity and traffic safety.
  5. Virtual reality and augmented reality technology in transport safety research.
  6. Exploring the application of emerging technologies in traffic safety and crowd management, along with their advantages and disadvantages.

We look forward to receiving your contributions.

Dr. Shuchao Cao
Dr. Xiaomeng Shi
Dr. Mohcine Chraibi
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

  • traffic safety
  • pedestrian traffic
  • traffic flow
  • crowd evacuation
  • safety management
  • experiment and modeling
  • driving behavior

Published Papers (4 papers)

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Research

15 pages, 3090 KiB  
Article
The Effect of Seat Layout on the Interaction of Passengers Inside the Train Carriage: An Experimental Approach for Urban Services
by Sebastian Seriani, Vicente Aprigliano, Shirley Gonzalez, Gabriela Baeza, Ariel Lopez and Taku Fujiyama
Sustainability 2024, 16(3), 998; https://doi.org/10.3390/su16030998 - 24 Jan 2024
Viewed by 796
Abstract
The platform–train interface (PTI) is one of the most complex spaces in metro stations. At the PTI, the interaction of passengers boarding and alighting reaches high density, affecting the boarding and alighting time, among other variables related to safety and efficiency. Developing research [...] Read more.
The platform–train interface (PTI) is one of the most complex spaces in metro stations. At the PTI, the interaction of passengers boarding and alighting reaches high density, affecting the boarding and alighting time, among other variables related to safety and efficiency. Developing research was performed to study the effect of seat layout on the interaction of passengers by means of experiments in a controlled environment. The laboratory facility included a mock-up of a train carriage and its adjacent platform. The train was representative of urban services in the Valparaiso Metro (Chile). The results showed that seat layout changed the patterns of interaction of passengers inside the train carriage. If seats were parallel to the movement of the train, then wider corridors inside the train were generated, and therefore, the number of passengers using this space could increase up to three times. However, in urban services, passengers were located closer to the train doors to be prepared for alighting, and therefore, the passenger numbers at the central hall remained the same with the seat layout. In addition, most passengers always used seats even if they were in a different position due to the aforementioned reasons. Further research will include passengers with reduced mobility and remaining inside the train while others are alighting to identify the effect of the space used on the interaction of passengers inside the train. Full article
(This article belongs to the Special Issue Traffic Safety and Sustainable Crowd Management)
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17 pages, 3174 KiB  
Article
Modeling Pedestrian Detour Behavior By-Passing Conflict Areas
by Qingyan Ning and Maosheng Li
Sustainability 2022, 14(24), 16522; https://doi.org/10.3390/su142416522 - 9 Dec 2022
Viewed by 1070
Abstract
In the process of walking, most pedestrians prefer to choose the shortest path, which requires passing through the conflict area. However, in the case of high crowd density, 5–20% of the total population will choose to follow the pre-planned route before walking or [...] Read more.
In the process of walking, most pedestrians prefer to choose the shortest path, which requires passing through the conflict area. However, in the case of high crowd density, 5–20% of the total population will choose to follow the pre-planned route before walking or during the initial period of the trip to bypass the conflict area. Aiming at reproducing this detour behavior phenomenon, an extended social force model (SFM) is proposed according to a three-layer pedestrian simulation framework. This model not only fully considers the choice of detour mode, but also contains the avoidance and game behavior at the conflict point. At the strategic layer, a detour mode selection model based on the Logit model is established considering the pedestrian starting time and detour angle, to distinguish between the two groups of pedestrians who follow the pre-planned route and those who repeatedly adjust the route during the trip. Then, the path decision based on visual perception density at the tactical layer and the Voronoi-based SFM at the operational layer are combined to guide the specific movement of the two types of pedestrian groups. A series of evaluation indexes such as the central density, the mean local density, and detour level is selected, and Kolmogorov–Smirnov (K-S) test and dynamic time warping (DTW) method are used to evaluate and compare the scores of each index of different models. The results show that the model can improve the existing pedestrian detour simulation model to a certain extent. In sum, the travel time score, the detour level, and the mean local density score respectively increase from 0.71 to 0.81, 0.46 to 0.81, and 0.39 to 0.48, which indicates a significant improvement in walking performance. Full article
(This article belongs to the Special Issue Traffic Safety and Sustainable Crowd Management)
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21 pages, 7641 KiB  
Article
Crowd Evacuation through Crossing Configurations: Effect of Crossing Angles and Walking Speeds on Speed Variation and Evacuation Time
by Shabna SayedMohammed, Anshi Verma, Charitha Dias, Wael Alhajyaseen, Abdulkarim Almukdad and Kayvan Aghabayk
Sustainability 2022, 14(22), 15366; https://doi.org/10.3390/su142215366 - 18 Nov 2022
Cited by 1 | Viewed by 1183
Abstract
The design of safe and efficient pedestrian facilities necessitates the knowledge of complex human movements, such as intersecting pedestrian streams, under different conditions. This study aims to experimentally investigate the impact of intersecting angles on collective crowd dynamics under two different urgency levels. [...] Read more.
The design of safe and efficient pedestrian facilities necessitates the knowledge of complex human movements, such as intersecting pedestrian streams, under different conditions. This study aims to experimentally investigate the impact of intersecting angles on collective crowd dynamics under two different urgency levels. Data were collected from a controlled laboratory experiment with scenarios consisting of three intersection angles (30°, 90°, and 150°) and two desired speed levels (normal walking and slow running). Trajectory data of individual experiment participants were extracted from the recorded video footage. The results indicate that the 30° intersection has the lowest bottleneck effect compared to the other angles. Moreover, the time-to-target analysis shows that the 150° intersection has a higher waiting time at the intersection compared to the other angles for the jogging scenarios. The speed distribution and space utilization maps implied an asymmetrical reduction in speed in the two corridors of the intersection, even though the physical and geometrical configurations are symmetric. The lane-based analysis of collective speeds revealed that the inner lane (the lane that initially encounters the intersecting flow) has the maximum reduction in speed. The outcomes of this study may be useful to evaluate the congestion effects associated with crossing configurations and in calibrating and validating simulation tools to reproduce such effects accurately. Full article
(This article belongs to the Special Issue Traffic Safety and Sustainable Crowd Management)
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17 pages, 325 KiB  
Article
Trend towards Helmet Usage and the Behavior of Riders While Wearing Helmets
by Malik Muneeb Abid, Shehar Bano, Ashok Kumar, Muhammad Iqbal, Muhammad Laiq Ur Rahman Shahid, Ahsan Javed and Muhammad Atiq Ur Rehman Tariq
Sustainability 2022, 14(22), 14713; https://doi.org/10.3390/su142214713 - 8 Nov 2022
Viewed by 3245
Abstract
Nowadays, it is relatively common to follow traffic rules, such as wearing a helmet and fastening seat belts, but accidents are increasing daily. Concerned with these traffic safety issues, this study focuses on the psychology of bike riders. First, a brief questionnaire is [...] Read more.
Nowadays, it is relatively common to follow traffic rules, such as wearing a helmet and fastening seat belts, but accidents are increasing daily. Concerned with these traffic safety issues, this study focuses on the psychology of bike riders. First, a brief questionnaire is prepared by filtering some significant traffic safety factors. For effective results and analysis, a questionnaire survey (i.e., interviews) is conducted across different road junctions in Sargodha, Pakistan, with the assistance of traffic police. The data is analyzed through a multiple regression analysis, forming a different model for effective outcomes. A risk compensation hypothesis theory is considered; based on the questionnaire designed and the input received from participants, three models are developed with significant variables. The first two models evaluate the physical impact of helmets on riders/cyclists, while the third observes changes (in terms of obeying traffic laws) in behavior when wearing a helmet. It has been observed that cyclists wearing helmets may follow zigzag patterns while wearing helmets, which may cause accidents. Moreover, it has been observed that cyclists wearing helmets may be more responsible regarding traffic rules. These problems should be considered in creating effective traffic safety campaigns and policy making. Full article
(This article belongs to the Special Issue Traffic Safety and Sustainable Crowd Management)
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