Literature Database Entry
nguyen2020car
Quang-Huy Nguyen, Michel Morold, Klaus David and Falko Dressler, "Car-to-Pedestrian Communication with MEC-Support for Adaptive Safety of Vulnerable Road Users," Elsevier Computer Communications, vol. 150, pp. 83–93, January 2020.
Abstract
Car-to-Pedestrian (Car2P) communication has a huge potential for preventing potential accidents between pedestrians and vehicles by exchanging context information. Similar communication principles have been explored for Car-to-Car (C2C) communication since quite a while and are now being deployed as an additional safety mechanism. Unfortunately, Vulnerable Road Users (VRUs) such as pedestrians and bicyclists are not yet covered by these systems. Looking at pedestrians, we explore possibilities for the exchange of relevant safety mechanisms between pedestrians and cars making use of readily available communication capabilities of current LTE networks. Necessary activity and collision detection algorithms have to be run on the users' smartphones in order to determine the criticality of the situation. In order to improve both the overall system latency and the energy efficiency of the smartphone applications, we suggest the use of Multi-access Edge Computing (MEC). We implemented the system to perform measurements on the smartphone side as well as extensive simulations on the networking side. Our results clearly show the advantages of our concept and the integrated MEC approach.
Quick access
Original Version (at publishers web site)
Authors' Version (PDF on this web site)
BibTeX
Contact
Quang-Huy Nguyen
Michel Morold
Klaus David
Falko Dressler
BibTeX reference
@article{nguyen2020car,
author = {Nguyen, Quang-Huy and Morold, Michel and David, Klaus and Dressler, Falko},
doi = {10.1016/j.comcom.2019.10.033},
title = {{Car-to-Pedestrian Communication with MEC-Support for Adaptive Safety of Vulnerable Road Users}},
pages = {83--93},
journal = {Elsevier Computer Communications},
issn = {0140-3664},
publisher = {Elsevier},
month = {1},
volume = {150},
year = {2020},
}
Copyright notice
Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.
The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.
The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.
This page was automatically generated using BibDB and bib2web.