Signs and Pedestrian Safety in Automated Transportation Systems

Haiyan Xie; Luke Verplaetse

doi:doi:10.11648/j.acis.20190701.16

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Signs and Pedestrian Safety in Automated Transportation Systems

Haiyan Xie, Luke Verplaetse

Published in Automation, Control and Intelligent Systems (Volume 7, Issue 1)

Received: 18 April 2019 Published: 15 June 2019

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Abstract

Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with higher signage and pedestrian signals had less likely of a chance for pedestrians to run into an altercation when compared to intersections with just crosswalks and no pedestrian signals. This research presents an optimization framework and an analytical solution with field observations to study whether the implementation of more pedestrian signals could have a great effect on vehicle/pedestrian incidents. The research implements the integrated methods of case studies, modeling and simulation using mathematical and statistical software on correlations and probabilities. This study adds minimal interference to the observations as they naturally occur. The study setting is non-contrived and maintained as natural environment. The collected data is continuous time series and measured using Chi-Square for analysis. After the identification of possible interactions between CAVs and pedestrians based on the data surveyed around the Illinois State University (ISU), this study finds that the safety of pedestrian relies on the intersection design of signs and signals more than the intelligence of CAVs (significance level = 95%). This paper also discusses law enforcement and autonomous driving as a means of lowering pedestrian incidents at intersections. The developed mathematical analysis model and simulations help to verify the influences of transportation signs and intersection designs. The investigation innovatively demonstrates the feasibilities of different methods to protect the pedestrian safety while they enter intersections. The findings from this research can provide decision support for future transportation design and implementation rules of CAVs.

Published in	Automation, Control and Intelligent Systems (Volume 7, Issue 1)
DOI	10.11648/j.acis.20190701.16
Page(s)	46-53
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Cooperative and Automated Vehicles (CAVs), Pedestrian, Safety, Signal Design, Crosswalk Analysis

References

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APA Style

Haiyan Xie, Luke Verplaetse. (2019). Signs and Pedestrian Safety in Automated Transportation Systems. Automation, Control and Intelligent Systems, 7(1), 46-53. https://doi.org/10.11648/j.acis.20190701.16

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ACS Style

Haiyan Xie; Luke Verplaetse. Signs and Pedestrian Safety in Automated Transportation Systems. Autom. Control Intell. Syst. 2019, 7(1), 46-53. doi: 10.11648/j.acis.20190701.16

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AMA Style

Haiyan Xie, Luke Verplaetse. Signs and Pedestrian Safety in Automated Transportation Systems. Autom Control Intell Syst. 2019;7(1):46-53. doi: 10.11648/j.acis.20190701.16

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@article{10.11648/j.acis.20190701.16,
  author = {Haiyan Xie and Luke Verplaetse},
  title = {Signs and Pedestrian Safety in Automated Transportation Systems},
  journal = {Automation, Control and Intelligent Systems},
  volume = {7},
  number = {1},
  pages = {46-53},
  doi = {10.11648/j.acis.20190701.16},
  url = {https://doi.org/10.11648/j.acis.20190701.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20190701.16},
  abstract = {Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with higher signage and pedestrian signals had less likely of a chance for pedestrians to run into an altercation when compared to intersections with just crosswalks and no pedestrian signals. This research presents an optimization framework and an analytical solution with field observations to study whether the implementation of more pedestrian signals could have a great effect on vehicle/pedestrian incidents. The research implements the integrated methods of case studies, modeling and simulation using mathematical and statistical software on correlations and probabilities. This study adds minimal interference to the observations as they naturally occur. The study setting is non-contrived and maintained as natural environment. The collected data is continuous time series and measured using Chi-Square for analysis. After the identification of possible interactions between CAVs and pedestrians based on the data surveyed around the Illinois State University (ISU), this study finds that the safety of pedestrian relies on the intersection design of signs and signals more than the intelligence of CAVs (significance level = 95%). This paper also discusses law enforcement and autonomous driving as a means of lowering pedestrian incidents at intersections. The developed mathematical analysis model and simulations help to verify the influences of transportation signs and intersection designs. The investigation innovatively demonstrates the feasibilities of different methods to protect the pedestrian safety while they enter intersections. The findings from this research can provide decision support for future transportation design and implementation rules of CAVs.},
 year = {2019}
}

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TY - JOUR
T1 - Signs and Pedestrian Safety in Automated Transportation Systems
AU - Haiyan Xie
AU - Luke Verplaetse
Y1 - 2019/06/15
PY - 2019
N1 - https://doi.org/10.11648/j.acis.20190701.16
DO - 10.11648/j.acis.20190701.16
T2 - Automation, Control and Intelligent Systems
JF - Automation, Control and Intelligent Systems
JO - Automation, Control and Intelligent Systems
SP - 46
EP - 53
PB - Science Publishing Group
SN - 2328-5591
UR - https://doi.org/10.11648/j.acis.20190701.16
AB - Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with higher signage and pedestrian signals had less likely of a chance for pedestrians to run into an altercation when compared to intersections with just crosswalks and no pedestrian signals. This research presents an optimization framework and an analytical solution with field observations to study whether the implementation of more pedestrian signals could have a great effect on vehicle/pedestrian incidents. The research implements the integrated methods of case studies, modeling and simulation using mathematical and statistical software on correlations and probabilities. This study adds minimal interference to the observations as they naturally occur. The study setting is non-contrived and maintained as natural environment. The collected data is continuous time series and measured using Chi-Square for analysis. After the identification of possible interactions between CAVs and pedestrians based on the data surveyed around the Illinois State University (ISU), this study finds that the safety of pedestrian relies on the intersection design of signs and signals more than the intelligence of CAVs (significance level = 95%). This paper also discusses law enforcement and autonomous driving as a means of lowering pedestrian incidents at intersections. The developed mathematical analysis model and simulations help to verify the influences of transportation signs and intersection designs. The investigation innovatively demonstrates the feasibilities of different methods to protect the pedestrian safety while they enter intersections. The findings from this research can provide decision support for future transportation design and implementation rules of CAVs.
VL - 7
IS - 1
ER -

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Author Information

Haiyan Xie

Department of Technology, Illinois State University, Normal IL, USA
Luke Verplaetse

Department of Technology, Illinois State University, Normal IL, USA

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Plain Text BibTeX RIS

APA Style

Haiyan Xie, Luke Verplaetse. (2019). Signs and Pedestrian Safety in Automated Transportation Systems. Automation, Control and Intelligent Systems, 7(1), 46-53. https://doi.org/10.11648/j.acis.20190701.16

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ACS Style

Haiyan Xie; Luke Verplaetse. Signs and Pedestrian Safety in Automated Transportation Systems. Autom. Control Intell. Syst. 2019, 7(1), 46-53. doi: 10.11648/j.acis.20190701.16

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AMA Style

Haiyan Xie, Luke Verplaetse. Signs and Pedestrian Safety in Automated Transportation Systems. Autom Control Intell Syst. 2019;7(1):46-53. doi: 10.11648/j.acis.20190701.16

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@article{10.11648/j.acis.20190701.16,
  author = {Haiyan Xie and Luke Verplaetse},
  title = {Signs and Pedestrian Safety in Automated Transportation Systems},
  journal = {Automation, Control and Intelligent Systems},
  volume = {7},
  number = {1},
  pages = {46-53},
  doi = {10.11648/j.acis.20190701.16},
  url = {https://doi.org/10.11648/j.acis.20190701.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20190701.16},
  abstract = {Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with higher signage and pedestrian signals had less likely of a chance for pedestrians to run into an altercation when compared to intersections with just crosswalks and no pedestrian signals. This research presents an optimization framework and an analytical solution with field observations to study whether the implementation of more pedestrian signals could have a great effect on vehicle/pedestrian incidents. The research implements the integrated methods of case studies, modeling and simulation using mathematical and statistical software on correlations and probabilities. This study adds minimal interference to the observations as they naturally occur. The study setting is non-contrived and maintained as natural environment. The collected data is continuous time series and measured using Chi-Square for analysis. After the identification of possible interactions between CAVs and pedestrians based on the data surveyed around the Illinois State University (ISU), this study finds that the safety of pedestrian relies on the intersection design of signs and signals more than the intelligence of CAVs (significance level = 95%). This paper also discusses law enforcement and autonomous driving as a means of lowering pedestrian incidents at intersections. The developed mathematical analysis model and simulations help to verify the influences of transportation signs and intersection designs. The investigation innovatively demonstrates the feasibilities of different methods to protect the pedestrian safety while they enter intersections. The findings from this research can provide decision support for future transportation design and implementation rules of CAVs.},
 year = {2019}
}

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