5G as an Enabler of Connected-and-Automated Mobility in European Cross-Border Corridors—A Market Assessment
Creators
- 1. Inlecom Innovation, Tatoiou 11, Kifissia, 14561 Attiki, Greece
- 2. Inlecom Commercial Pathways, Core B, Block 71, The Plaza Park West, D12 WDN2 Dublin, Ireland
- 3. Department of Mechanical and Industrial Engineering, Tallinn University of Technology (TalTech), Ehitajate tee 5, 19086 Tallinn, Estonia
- 4. Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology (TalTech), Ehitajate tee 5, 19086 Tallinn, Estonia
Description
5G systems are capable of facilitating remarkable technological advances and promoting
sustainability in Internet-of-Things-centric fields, such as the Transport and Logistics (T&L) sector and
applications in Connected-and-Automated Mobility (CAM). The current article provides an overview
of the latest developments in the applications of the 5G mobile network standard in CAM and is
specifically focused on analyzing existing and potential applications within European T&L corridors
and subsequent markets. A focused marketplace analysis is conducted, highlighting the demands of
commercialization clusters within European cross-border markets, as well as an analysis of how some
of these demands can supplement the deployment of 5G products and services in the coming years.
With the aim of providing a macro-level description of the landscape of 5G applications in CAM,
the authors further discuss and classify the markets’ influencing factors according to the PESTEL
framework, which is further enhanced to include the recent impacts of the COVID-19 pandemic and
the war in Ukraine. The findings display that while 5G is a crucial underlying technology for the
establishment of CAM, several factors, such as international security, political coordination at the EU
level, and common technological standards across EU member states, will have a central role in the
successful deployment of its applications.
Files
sustainability-14-14411-5.pdf
Files
(4.3 MB)
Name | Size | Download all |
---|---|---|
md5:d6730b874284f133124dd5afe5caded6
|
4.3 MB | Preview Download |