Smart City Gnosys

Smart city article details

Title	A Mobile Application To Secure Pedestrians Interacting With Automated Vehicles
ID_Doc	2657
Authors	Tessier R.; Merdrignac P.; Jacquet T.; Métayer N.
Year	2025
Published	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 608 LNICST
DOI	http://dx.doi.org/10.1007/978-3-031-86370-7_14
Abstract	With the increasing deployments of automated vehicles (AVs) in shared environments, many questions arise concerning the safety of interactions between these vehicles and other road users, especially for the most vulnerable. This paper presents 1) a mobile application designed to provide real-time collision risk alerts to pedestrians, leveraging cellular network communication and edge computing for low-latency warnings, and 2) the evaluation of this application by end users after road tests. The system was evaluated through controlled experiments, demonstrating average delays of less than 100 ms for alert notifications. User feedback indicated strong support for such safety technologies, with most participants highlighting the importance of receiving notifications in poor visibility conditions. While some localization challenges led to occasional false positives, the overall user experience and system performance were promising, suggesting this approach as a viable solution to improve VRU safety in smart cities. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.
Author Keywords	automated driving; Road Safety; smartphone application; user assessment; VRU

Similar Articles

Id	Similarity	Authors	Title	Published
21840	0.904	Chavhan S.; Kumar S.; Gupta D.; Alkhayyat A.; Khanna A.; Manikandan R.	Edge-Empowered Communication-Based Vehicle And Pedestrian Trajectory Perception System For Smart Cities	IEEE Internet of Things Journal, 10, 21 (2023)
4577	0.9	Teixeira P.; Sargento S.; Rito P.; Luis M.; Castro F.	A Sensing, Communication And Computing Approach For Vulnerable Road Users Safety	IEEE Access, 11 (2023)
13644	0.858	Eskandarian A.; Mehr G.; Nayak A.; Shang X.	Challenges And Algorithms For Connected And Autonomous Vehicle Safety And Mobility In Smart Cities	Springer Tracts on Transportation and Traffic, 21 (2024)
8500	0.858	Kaur K.; Verma H.K.	An Intelligent Communication System For Collision Avoidance On Roads: A Smart City Application	Computers and Electrical Engineering, 103 (2022)
19299	0.856	Guayante, F; Díaz-Ramírez, A; Mejía-Alvarez, P	Detection Of Vulnerable Road Users In Smart Cities	2014 EIGHTH INTERNATIONAL CONFERENCE ON NEXT GENERATION MOBILE APPS, SERVICES AND TECHNOLOGIES (NGMAST) (2014)
30842	0.855	Knowles Flanagan S.; He J.; Peng X.-H.	Improving Emergency Collision Avoidance With Vehicle To Vehicle Communications	Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 (2019)
47774	0.853	Mohan Kumar S.; Reddy E.G.; Chandramohan S.; Prabagar S.; Latha N.	Securing Pedestrian Crosswalks In Smart Cities: An Embedded Vision System For Pedestrian Detection And Safety Enhancement	2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023 (2023)
3866	0.852	El Hamdani S.; Benamar N.; Younis M.	A Protocol For Pedestrian Crossing And Increased Vehicular Flow In Smart Cities	Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 24, 5 (2020)
61398	0.85	Rossini E.; Pietri M.; Picone M.; Grazia C.A.; Mamei M.	Vulnerable Road Users Accident Prevention Via Smart City Data Fusion: Experimental Evaluation Of A 5G Mec Architecture	Proceedings - 2024 22nd International Symposium on Network Computing and Applications, NCA 2024 (2024)