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Vehicular Sensing for Improved Urban Mobility

Published:2024-08-08 Issue:16 Volume:24 Page:5134
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Caruntu Constantin-Florin¹^ORCID,Comsa Ciprian-Romeo²^ORCID

Affiliation:

1. Department of Automatic Control and Applied Informatics, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania

2. Department of Telecommunications and Information Technologies, “Gheorghe Asachi” Technical University of Iasi, 700506 Iasi, Romania

Abstract

In recent years, advancements in the automotive industry have accelerated the development of connected and autonomous vehicles (CAVs) [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/1424-8220/24/16/5134/pdf

Reference10 articles.

1. Fernández, H., Rubio, L., Peñarrocha, V.M.R., and Reig, J. (2024). Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments. Sensors, 24.

2. Herbers, E., Doerzaph, Z., and Stowe, L. (2024). The Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Events. Sensors, 24.

3. Heyer-Wollenberg, P., Lyu, C., Jovanov, L., Goossens, B., and Philips, W. (2023). Improving Turn Movement Count Using Cooperative Feedback. Sensors, 23.

4. Silva, L.G., Cardoso, I., Brito, C., Barbosa, V., Nogueira, B., Choi, E., Nguyen, T.A., Min, D., Lee, J.W., and Silva, F.A. (2023). Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration. Sensors, 23.

5. Lazar, R.-G., Pauca, O., Maxim, A., and Caruntu, C.-F. (2023). Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication. Sensors, 23.

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