Happy new year! Welcome to the January 2026 issue of VTS Mobile World – your IEEE Vehicular Technology Society newsletter.
This edition features enlightening articles contributed by experts, gathered from the Connected and Autonomous Vehicles, Transportation Systems, and Mobile Radio columns in the September 2025 edition of the IEEE Vehicular Technology Magazine. It also includes the recent published papers from the IEEE Transactions on Vehicular Technology and the IEEE Open Journal of Vehicular Technology, providing valuable insights.
And finally, the IEEE OJVT is calling for submissions to the new Special Issue on Vehicular Digital Twins: Architectures, Communication Protocols, and Applications for Internet of Vehicles Systems.
The ride-hailing platform Uber is also in the business of robotaxis. Uber recently partnered with Lucid Motors and Nuro AI to develop the next generation of autonomous robotaxis.
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Transportation Systems
Predictive Maintenance
Yousef Kimiagar
Siemens Easy Share enables technicians in the field of predictive maintenance. Rather than conventional reactive or preventive maintenance, which in both cases cost more time and money, and in some cases, occur after the damage has occurred, predictive maintenance minimizes the cost of maintenance and operation downtime.
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Mobile Radio
Spectrum for 6G
Jordi Perez-Romero
Several major European telecom operators signed a letter asking policymakers to make available the complete upper 6-GHz band for future 6G mobile networks.
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From the IEEE Open Journal of Vehicular Technology
Recent Articles, and a Call for Papers on Vehicular Digital Twins
Edward Au, IEEE Open Journal of Vehicular Technology Editor-in-Chief
Feature articles on FSOSN and EV charging algorithms, plus a call for papers of a new special issue vehicular digital twins, are brought to you by the IEEE Open Journal of Vehicular Technology.
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From the IEEE Transactions on Vehicular Technology
Edge-V: Vehicular Edge Intelligence
Francesco Raviglione, Claudio Casetti, and Francesco Restuccia
This paper proposes Edge-V, a novel framework combining unlicensed spectrum technologies to provide low-latency, high-throughput connectivity with reliable task offloading.
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