Smart City Gnosys

Smart city article details

Title Edge-Empowered Communication-Based Vehicle And Pedestrian Trajectory Perception System For Smart Cities
ID_Doc 21840
Authors Chavhan S.; Kumar S.; Gupta D.; Alkhayyat A.; Khanna A.; Manikandan R.
Year 2023
Published IEEE Internet of Things Journal, 10, 21
DOI http://dx.doi.org/10.1109/JIOT.2023.3254647
Abstract Road traffic crashes are one of the prime issues in the world. Every year 1.35 million people die, 20-50 million fatal injuries, and many incur a disability due to road traffic crashes. 50% of the total death, injuries, and disabilities are among vulnerable road users (VRUs), such as motorcyclists, cyclists, and pedestrians. Among these VRUs, highly vulnerable is pedestrians. In this article, we are dealing with providing safety and alert system to pedestrians and vehicles to reduce and/or avoid the causes of road traffic crashes in metropolitan areas. In this article, we develop a cooperative communication framework between pedestrians and nearby vehicles as well as traffic light systems using mobile agent systems and apps. The proposed cooperative communication framework controls the mobility of vehicles as well as pedestrians to avoid accidents. We have developed an application that will notify the pedestrian if there is any automobile within the range of 200 m of the pedestrian. If there are any vehicles in this range, using direct Wi-Fi, connect the vehicles and pedestrians to notify them about their presence of them. The proposed system is implemented and tested in real time as well as simulated in the SUMO, Veins, OMNeT++, and MiXiM simulator. The proposed system's results (real time, simulation, and comparison) show real-time deployability, accuracy, and reliability. © 2023 IEEE.
Author Keywords Pedestrian; perception system; trajectory; transportation system; vehicle-to-everything communication


Similar Articles


Id Similarity Authors Title Published
2657 View0.904Tessier R.; Merdrignac P.; Jacquet T.; Métayer N.A Mobile Application To Secure Pedestrians Interacting With Automated VehiclesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 608 LNICST (2025)
13644 View0.89Eskandarian A.; Mehr G.; Nayak A.; Shang X.Challenges And Algorithms For Connected And Autonomous Vehicle Safety And Mobility In Smart CitiesSpringer Tracts on Transportation and Traffic, 21 (2024)
4577 View0.885Teixeira P.; Sargento S.; Rito P.; Luis M.; Castro F.A Sensing, Communication And Computing Approach For Vulnerable Road Users SafetyIEEE Access, 11 (2023)
3866 View0.874El Hamdani S.; Benamar N.; Younis M.A Protocol For Pedestrian Crossing And Increased Vehicular Flow In Smart CitiesJournal of Intelligent Transportation Systems: Technology, Planning, and Operations, 24, 5 (2020)
10518 View0.867Jagatheesaperumal S.K.; Bibri S.E.; Huang J.; Rajapandian J.; Parthiban B.Artificial Intelligence Of Things For Smart Cities: Advanced Solutions For Enhancing Transportation SafetyComputational Urban Science, 4, 1 (2024)
60171 View0.863Pargoo N.S.; Ghasemi M.; Xia S.; Turkcan M.K.; Ehsan T.; Zang C.; Sun Y.; Ghaderi J.; Zussman G.; Kostic Z.; Ortiz J.Urban Sensing For Human-Centered Systems: A Modular Edge Framework For Real-Time InteractionHumanSys 2025 - Proceedings of the 2025 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems, 2025 Cyber-Physical Systems and Internet-of-Things Week, CPS-IoT Week 2025 Workshops (2025)
13535 View0.858Schuhback S.; Wischhof L.; Ott J.Cellular Sidelink Enabled Decentralized Pedestrian SensingIEEE Access, 11 (2023)
32250 View0.856Dissanayake U.; Weerasekara D.; Sumanasekara H.; Ishara D.; Wijesiri P.; Moonamaldeniya M.Intellicross: Adaptive Pedestrian Crossing System2025 5th International Conference on Advanced Research in Computing: Converging Horizons: Uniting Disciplines in Computing Research through AI Innovation, ICARC 2025 - Proceedings (2025)
48879 View0.854Akopov A.S.; Beklaryan L.A.Simulation Of Rates Of Traffic Accidents Involving Unmanned Ground Vehicles Within A Transportation System For The 'Smart City'Business Informatics, 16, 4 (2022)
57439 View0.853Aoki S.; Yonezawa T.; Kawaguchi N.; Steenkiste P.; Rajkumar R.R.Time-Sensitive Cooperative Perception For Real-Time Data Sharing Over Vehicular Communications: Overview, Challenges, And Future DirectionsIEEE Internet of Things Magazine, 5, 2 (2022)