Leveraging edge computing and orchestration platform for enhanced pedestrian safety application: The DEDICAT-6G approach

SE Merzougui, X Limani, A Gavrielides… - 2024 IEEE 21st …, 2024 - ieeexplore.ieee.org
The DEDICAT-6G project emphasizes dynamic re-sourcing, connectivity, flexibility, and
trustworthiness for emerging human-centric services. In response, our Vulnerable Road …

Fast and precise: parallel processing of vehicle traffic videos using big data analytics

JC Perafan-Villota, OH Mondragon… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Cities worldwide use camera systems that collect and store large amounts of images, which
are used to study vehicle traffic conditions, facilitating traffic management authorities' …

Automated pedestrian safety analysis using data from traffic monitoring cameras

W Xu, N Ruiz-Juri, R Huang, J Duthie… - Proceedings of the 1st …, 2018 - dl.acm.org
Transportation agencies often own extensive networks of monocular traffic cameras, which
are typically used for traffic monitoring. However, the information captured by such cameras …

Estimation of intersection traffic density on decentralized architectures with deep networks

C Yeshwanth, PSA Sooraj… - 2017 International …, 2017 - ieeexplore.ieee.org
Intelligent Intersection Traffic Management has become increasingly important because of
the need to reduce congestion and improve the overall travel experience of commuters …

A multi-sensor system for traffic analysis at smart intersections

T Banerjee, K Chen, X Huang… - 2019 Twelfth …, 2019 - ieeexplore.ieee.org
We present a multi-sensor system for vehicle and pedestrian traffic analysis and
visualization at intersections to discover trajectory patterns and anomalous traffic behavior …

Traffic prediction framework for OpenStreetMap using deep learning based complex event processing and open traffic cameras

P Yadav, D Sarkar, D Salwala, E Curry - arXiv preprint arXiv:2008.00928, 2020 - arxiv.org
Displaying near-real-time traffic information is a useful feature of digital navigation maps.
However, most commercial providers rely on privacy-compromising measures such as …

A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera

P Ghaziamin, K Bajaj, N Bouguila… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
Successful transit planning in smart cities requires automated and efficient passenger
counts at the bus stop while also respecting the privacy of passengers-a paramount …

Safe Roads: Traffic Management and Road Safety Platform for Smart Cities

A Almeida, J Fonseca, P Rasinhas… - 2023 IEEE 9th World …, 2023 - ieeexplore.ieee.org
The escalating volume of traffic and the urgent need for enhanced road safety have
emerged as critical concerns for both citizens and authorities. In this context, the concept of …

A multi-sensor edge-based system for intelligent traffic intersections

T Banerjee, Y Karnati, K Chen… - … on Connected and …, 2022 - ieeexplore.ieee.org
In this paper, we describe multi-sensor system called MIDAS (Modern Intersection Dynamics
Analytics System) for real-time and offline traffic analysis at one or more intersections …

5G-CAGE: A Context and Situational Awareness System for City Public Safety with Video Processing at a Virtualized Ecosystem

PE Lopez-de-Teruel, M Gil Perez… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this article we present 5G-CAGE, an ongoing project aimed to deploy a city safety solution
that enables monitoring and analytics of video streams collected from distributed sources of …