Smart City Intersections: Intelligence Nodes for Future Metropolises

• URL: http://arxiv.org/abs/2205.01686v1
• Date: Tue, 3 May 2022 17:22:57 GMT
• Title: Smart City Intersections: Intelligence Nodes for Future Metropolises
• Authors: Zoran Kosti\'c, Alex Angus, Zhengye Yang, Zhuoxu Duan, Ivan Seskar, Gil Zussman, Dipankar Raychaudhuri
• Abstract summary: Traffic intersections are the most suitable locations for the deployment of computing, communications, and intelligence services for smart cities of the future. This paper focuses on high-bandwidth, low-latency applications, and in that context it describes: (i) system design considerations for smart city intersection intelligence nodes; (ii) key technological components including sensors, networking, edge computing, low latency design, and AI-based intelligence; and (iii) applications such as privacy preservation, cloud-connected vehicles, a real-time "radar-screen", traffic management, and monitoring of pedestrian behavior during pandemics.
• Score: 8.690266225071772
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Traffic intersections are the most suitable locations for the deployment of computing, communications, and intelligence services for smart cities of the future. The abundance of data to be collected and processed, in combination with privacy and security concerns, motivates the use of the edge-computing paradigm which aligns well with physical intersections in metropolises. This paper focuses on high-bandwidth, low-latency applications, and in that context it describes: (i) system design considerations for smart city intersection intelligence nodes; (ii) key technological components including sensors, networking, edge computing, low latency design, and AI-based intelligence; and (iii) applications such as privacy preservation, cloud-connected vehicles, a real-time "radar-screen", traffic management, and monitoring of pedestrian behavior during pandemics. The results of the experimental studies performed on the COSMOS testbed located in New York City are illustrated. Future challenges in designing human-centered smart city intersections are summarized.

Related papers

• MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [52.0930915607703]
  Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to humans. Micromobility enabled by AI for short-distance travel in public urban spaces plays a crucial component in the future transportation system. We present MetaUrban, a compositional simulation platform for the AI-driven urban micromobility research.
  arXiv  Detail & Related papers  (2024-07-11T17:56:49Z)
• Networking Systems for Video Anomaly Detection: A Tutorial and Survey [56.44953602790945]
  Video Anomaly Detection (VAD) is a fundamental research task within the Artificial Intelligence (AI) community. This article offers an exhaustive tutorial for novices in NSVAD. We showcase our latest NSVAD research in industrial IoT and smart cities, along with an end-cloud collaborative architecture for deployable NSVAD.
  arXiv  Detail & Related papers  (2024-05-16T02:00:44Z)
• Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System [6.318200538258479]
  We propose a set of coordinated technological solutions to transform an existing emergency response system into an intelligent interactive system. This smart interactive response system will benefit from advanced sensor fusion and AI by formulating a real time dynamic model.
  arXiv  Detail & Related papers  (2024-03-07T12:10:19Z)
• Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems [0.0]
  This study delves into the application of cutting-edge technological methods in smart cities. We present a novel comprehensive dataset for traffic accident detection. This dataset is expected to advance academic research and also enhance real-time accident detection applications.
  arXiv  Detail & Related papers  (2024-01-07T21:50:24Z)
• The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective [64.36680481458868]
  Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge. This paper provides a survey of security and privacy in MEC from the perspective of Artificial Intelligence (AI) We focus on new security and privacy issues, as well as potential solutions from the viewpoints of AI.
  arXiv  Detail & Related papers  (2024-01-03T07:47:22Z)
• From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities [0.0]
  This work introduces an intelligent city management system that provides a data-driven approach to three use cases. A case study in Aveiro City demonstrates the system's effectiveness in generating actionable insights.
  arXiv  Detail & Related papers  (2023-06-06T10:22:43Z)
• Intelligent Traffic Monitoring with Hybrid AI [78.65479854534858]
  We introduce HANS, a neuro-symbolic architecture for multi-modal context understanding. We show how HANS addresses the challenges associated with traffic monitoring while being able to integrate with a wide range of reasoning methods.
  arXiv  Detail & Related papers  (2022-08-31T17:47:22Z)
• Data Analytics for Smart cities: Challenges and Promises [3.1498833540989413]
  The goal of this study is to provide a comprehensive survey of data analytics in smart cities. In this paper, we aim to focus on one of the smart cities important branches, namely Smart Mobility. Intelligent decision-making systems in smart mobility offer many advantages such as saving energy, relaying city traffic, and more importantly, reducing air pollution by offering real-time useful information and imperative knowledge.
  arXiv  Detail & Related papers  (2021-09-12T18:33:24Z)
• Embodied AI-Driven Operation of Smart Cities: A Concise Review [3.441021278275805]
  Embodied AI focuses on learning through interaction with the surrounding environment. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions. We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible.
  arXiv  Detail & Related papers  (2021-08-22T19:14:59Z)
• AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control [56.73750387509709]
  SCC ideates on a data-centered society aiming at improving efficiency by automating and optimizing activities and utilities. This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.
  arXiv  Detail & Related papers  (2021-04-07T14:31:08Z)
• Artificial Intelligence for Satellite Communication: A Review [91.3755431537592]
  This work provides a general overview of AI, its diverse sub-fields, and its state-of-the-art algorithms. The application of AI to a wide variety of satellite communication aspects have demonstrated excellent potential, including beam-hopping, anti-jamming, network traffic forecasting, channel modeling, telemetry mining, ionospheric scintillation detecting, interference managing, remote sensing, behavior modeling, space-air-ground integrating, and energy managing.
  arXiv  Detail & Related papers  (2021-01-25T13:01:16Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.