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Vehicular Crowdsensing: A Comprehensive Review of Applications, Challenges, and Future Directions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing presence of connected vehicles has given rise to Vehicular Crowdsensing (VCS), a transformative paradigm that leverages vehicle-generated data to create smarter, safer, and more sustainable urban environments. This state-of-the-art brief review provides a comprehensive examination of VCS, encompassing its architectural foundations, diverse applications, and key challenges. We delve into the vast potential of VCS to revolutionize intelligent transportation systems, public safety, and environmental sustainability, while also exploring the pivotal role of emerging technologies such as edge computing, artificial intelligence, and 5G in overcoming existing challenges. By providing a detailed roadmap of the current landscape and future directions, this review aims to guide researchers, practitioners, and policymakers in harnessing the power of VCS to build more livable and resilient cities.

Original languageEnglish
Title of host publication2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2025
EditorsGaston Lefranc, Claudio Cubillos
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350357363
DOIs
StatePublished - 2025
Event2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2025 - Valparaiso, Chile
Duration: 28 Oct 202530 Oct 2025

Publication series

NameProceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon
ISSN (Print)2832-1529
ISSN (Electronic)2832-1537

Conference

Conference2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2025
Country/TerritoryChile
CityValparaiso
Period28/10/2530/10/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Intelligent Transportation
  • Smart Cities
  • Vehicular Crowdsensing

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