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Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application
Open accessAbstract
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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“The reliability requirements are similar to V2V communication, i.e., the packet error rate (PER) should be meager, in the order of 10 -5 to 10 -6 .”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [127]
In the citing paper
“In V2P communication, the latency requirements are typically higher than in V2V communication in hundreds of milliseconds.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [127]
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Cited by
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Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73
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
- green
- arxiv.org
- 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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