Cited by 84Vehicular Ad Hoc Networks (VANETs)IoT and GPS-based Vehicle Safety SystemsTraffic and Road Safety

The DOI matches its Crossref record.

Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application

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Tahmasbi-Sarvestani, Amin, Nourkhiz Mahjoub, Hossein, Fallah, Yaser P., Moradi-Pari, Ehsan, Abuchaar, Oubada·2017·IEEE Intelligent Transportation Systems Magazine

Abstract

While the development of Vehicle-to-Vehicle (V2V) safety applications based on Dedicated Short-Range Communications (DSRC) has been extensively undergoing standardization for more than a decade, such applications are extremely missing for Vulnerable Road Users (VRUs). Nonexistence of collaborative systems between VRUs and vehicles was the main reason for this lack of attention. Recent developments in Wi-Fi Direct and DSRC-enabled smartphones are changing this perspective. Leveraging the existing V2V platforms, we propose a new framework using a DSRC-enabled smartphone to extend safety benefits to VRUs. The interoperability of applications between vehicles and portable DSRC enabled devices is achieved through the SAE J2735 Personal Safety Message (PSM). However, considering the fact that VRU movement dynamics, response times, and crash scenarios are fundamentally different from vehicles, a specific framework should be designed for VRU safety applications to study their performance. In this article, we first propose an end-to-end Vehicle-to-Pedestrian (V2P) framework to provide situational awareness and hazard detection based on the most common and injury-prone crash scenarios. The details of our VRU safety module, including target classification and collision detection algorithms, are explained next. Furthermore, we propose and evaluate a mitigating solution for congestion and power consumption issues in such systems. Finally, the whole system is implemented and analyzed for realistic crash scenarios.

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Metadata

Authors
Tahmasbi-Sarvestani, A., Nourkhiz Mahjoub, H., Fallah, Y. P., Moradi-Pari, E., & Abuchaar, O.
Affiliations
  • West Virginia University (US)
  • University of Central Florida (US)
Venue
IEEE Intelligent Transportation Systems Magazine
Published
2017
Volume
9
Issue
4
Pages
62-75
ISSN
1939-1390 (ISSN-L)
OpenAlex
W2765476103
Cited by
84
References
0
Citations by year
2026: 2 · 2025: 4 · 2024: 9 · 2023: 15 · 2022: 13 · 2021: 10 · 2020: 12 · 2019: 12 · 2018: 5 · 2017: 2
FWCI
3.53
Type
journal article
Language
en
Open access
Locations
  • IEEE Intelligent Transportation Systems Magazine (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Journal of International Crisis and Risk Communication Research (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Engineering › Automotive Engineering › IoT and GPS-based Vehicle Safety Systems
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Keywords
vehicle-to-pedestrian communication, vulnerable road users, pedestrian safety, DSRC, collision detection, target classification, threat detection, situational awareness, Wi-Fi Direct, power consumption, network congestion, collision scenarios

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CoChat. (2026). Citation check: Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application. https://app.cochat.ai/papers/10.1109/mits.2017.2743201
The paper
Tahmasbi-Sarvestani, A., Nourkhiz Mahjoub, H., Fallah, Y. P., Moradi-Pari, E., & Abuchaar, O. (2017). Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application. IEEE Intelligent Transportation Systems Magazine. https://doi.org/10.1109/mits.2017.2743201