Vehicular crowd-sensing: a parametric routing algorithm to increase spatio-temporal road network coverage-Reference-Cited by-同舟云学术

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Vehicular crowd-sensing: a parametric routing algorithm to increase spatio-temporal road network coverage

Published:2021-04-05 Issue: Volume: Page:1-29
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Asprone Dario¹^ORCID,Di Martino Sergio²^ORCID,Festa Paola³^ORCID,Starace Luigi Libero Lucio²^ORCID

Affiliation:

1. Department of Computer Science, University College of London, London, UK

2. Department of Electrical Engineering and Information Technology, University of Naples ‘Federico II’, Naples, Italy

3. Department of Mathematics and Applications, University of Naples ‘Federico II’, DMA, Naples, Italy

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2021.1893737

Reference56 articles.

1. A note on the complexity of Dijkstra's algorithm for graphs with weighted vertices

2. Spatio-Temporal Road Coverage of Probe Vehicles: A Case Study on Crowd-Sensing of Parking Availability with Taxis

3. Smart Parking: Using a Crowd of Taxis to Sense On-Street Parking Space Availability

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3. SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing;IEEE Open Journal of Intelligent Transportation Systems;2024

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