The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
SaferCross: Enhancing Pedestrian Safety Using Embedded Sensors of Smartphone
Open accessAbstract
The number of pedestrian accidents continues to keep climbing. Distraction from smartphone is one of the biggest causes for pedestrian fatalities. In this paper, we develop SaferCross, a mobile system based on the embedded sensors of smartphone to improve pedestrian safety by preventing distraction from smartphone. SaferCross adopts a holistic approach by identifying and developing essential system components that are missing in existing systems and integrating the system components into a “fully-functioning”mobile system for pedestrian safety. Specifically, we create algorithms for improving the accuracy and energy efficiency of pedestrian positioning, effectiveness of phone activity detection, and real-time risk assessment. We demonstrate that SaferCross, through systematic integration of the developed algorithms, performs situation awareness effectively and provides a timely warning to the pedestrian based on the information obtained from smartphone sensors and Direct Wi-Fi-based peer-to-peer communication with approaching cars. Extensive experiments are conducted in a department parking lot for both component-level and integrated testing. The results demonstrate that the energy efficiency and positioning accuracy of SaferCross are improved by 52% and 72% on average compared with existing solutions with missing support for positioning accuracy and energy efficiency, and the phone-viewing event detection accuracy is over 90%. The integrated test results show that SaferCross alerts the pedestrian timely with an average error of 1.6sec in comparison with the ground truth data, which can be easily compensated by configuring the system to fire an alert message a couple of seconds early.
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“There is evidence that children are only completely capable to select required information to perform the task of crossing the road from the age of 11.”
From Design and Implementation of Portable Smart Wireless Pedestrian Crossing Control System (2020) · cites this paper as [5]
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“The school children (Fig. 1) and elderly people are considered to be at a higher risk regarding pedestrian crashes.”
From Design and Implementation of Portable Smart Wireless Pedestrian Crossing Control System (2020) · cites this paper as [5]
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Cites
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- bumgardner, 2018, Brisk Walking Speed
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Cited by
Sorted by citations
Design and Implementation of Portable Smart Wireless Pedestrian Crossing Control System
Saad, W. K., Hashim, Y., & Jabbar, W. A. (2020) · IEEE Access · doi:10.1109/access.2020.3000014 · Cited by 29
Metadata
- Authors
- Won, M., Shrestha, A., Park, K.-J., & Eun, Y.
- Affiliations
- University of Memphis (US)
- South Dakota State University (US)
- Daegu Gyeongbuk Institute of Science and Technology (KR)
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 49657-49670
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3012345026
- Cited by
- 27
- References
- 30
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 2
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- South Dakota Board of Regents
- Global Research Laboratory Program through the NRF (2013K1A1A2A02078326)
- Ministry of Science, ICT and Future Planning
- Topics
- Physical Sciences › Engineering › Automotive Engineering › IoT and GPS-based Vehicle Safety Systems
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- pedestrian safety, smartphone distraction, embedded sensors, pedestrian positioning, energy efficiency, situational awareness, real-time risk assessment
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- Won, M., Shrestha, A., Park, K.-J., & Eun, Y. (2020). SaferCross: Enhancing Pedestrian Safety Using Embedded Sensors of Smartphone. IEEE Access. https://doi.org/10.1109/access.2020.2980085
