The current transportation system is inefficient - a lack of information about roads, vehicles, and other transportation participants can lead to downtime or performing unnecessary tasks.
We are convinced that the mobile network, particularly on 5G, is a turning point for increasingly effective, safe and smart road infrastructure development. The first step is the creation of the Open Data Platform that is planned to be developed throughout the entire European Union. We're not sitting back and twiddling our thumbs - we're already working on the first pilot projects that will improve mobility using data-driven solutions.
LMT spearheaded an initiative that materialized on September 28, 2018, when the three Baltic countries signed a Memorandum of Understand committing to the development of the Via Baltica digital transport corridor. It would digitize vehicle and traffic infrastructure using 5G technologies to ensure the requisite connectivity and data transfer to successfully deploy ITS components along the way. The Memorandum is in line with the European Gigabit Society and connectivity target – continued deployment of 5G coverage on the main roads of the European Transport Network by 2025.
Simultaneously, we are working on several 5G-enabled mobility pilot projects, including smart pedestrian crosswalks, transportation tracking, spacial data collection using machine vision, and more. One notable pilot is with Latvia's State Forests to equip logging trucks with machine vision solutions. They'll collect real-time data on the state of forest roads, road width and signage into one platform with the help of the mobile network. This will enable Latvia's State Forests to make more informed decisions about planning the flow of transportation. Similar to our AI-powered drone project, the solution is made possible with the help of edge computing.
Latvia is a foresting country, hence our first pilot projects are in co-operation with the national foresting institution, however, we're already in discussions with harbours, railway infrastructure organizations and municipalities who would also benefit from using sensors and machine vision to improve the efficiency of their business processes. If you have any ideas how to get involved and interest to implement a use case, we'd be very happy for you to get in touch with us!