CloudAtlas

Cloud Atlas currently implements the project “The development of innovative distributed multi-layer system” The goal of the project is to create a distributed multi-layer computing and data transmission network using edge, fog and cloud computing with integrated AI data models of varying complexity and reliability. The project is implemented in accordance with the 2022-2030 economic transformation and competitiveness development program by the Ministry of Economy and Innovation of the Republic of Lithuania: measure no. 05-001-01-05-07 “Create a consistent system for promoting innovative activities”; activity “Encourage innovation supply” (Central and Western Lithuania). The project is financed by the European Regional Development Fund. Total budget is EUR 305,770; amount of funding allocated by the EU fund is EUR 200,000. The duration of the project is from August, 2023 to February, 2025.

Last month 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗣𝗮𝗿𝗹𝗶𝗮𝗺𝗲𝗻𝘁 agreed on the legislative resolution to amend the Directive 2010/40/EU on the framework for the 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗼𝗳 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀. In the amendment, the 𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 related to the EU-wide road traffic information and navigation services were set. 31 December 𝟮𝟬𝟮𝟱: temporary slippery road; animal, people, obstacles, debris on the road; unprotected accident area; short-term road works; wrong-way driver; unmanaged blockage of a road. 31 December 𝟮𝟬𝟮𝟲: road closures; lane closures; roadworks; reduced visibility; exceptional weather conditions; road safety-related minimum universal traffic information service. 31 December 𝟮𝟬𝟮𝟳: access conditions for tunnels; access conditions for bridges; speed limits; one-way streets; dynamic data on availability of parking places. 31 December 𝟮𝟬𝟮𝟴: overtaking bans on heavy goods vehicles; weight and size restrictions; temporary traffic management measures; location of identified access nodes for all scheduled modes. 31 December 𝟮𝟬𝟮𝟴 (𝗺𝗼𝘀𝘁 𝗹𝗶𝗸𝗲𝗹𝘆): freight delivery regulations; direction of travel on reversable lanes; permanent access restrictions; boundaries of restrictions, prohibitions or obligations with zonal validity; current access status and conditions for circulation in regulated traffic zones. 31 December 𝟮𝟬𝟯𝟬 (𝗺𝗼𝘀𝘁 𝗹𝗶𝗸𝗲𝗹𝘆): traffic circulations plans. .

𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗷𝗮𝗺𝘀 are a common problem in many urban areas. 𝗦𝗲𝗹𝗳-𝗱𝗿𝗶𝘃𝗶𝗻𝗴 𝗰𝗮𝗿𝘀 have the potential to reduce congestion and improve traffic flow, but they also face 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀. One of the main challenges is how to 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 with other vehicles, infrastructure and pedestrians 𝗶𝗻 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗱 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀. Data standardization, interoperability and fog computing are some of the key factors that can help solve this challenge. 𝗗𝗮𝘁𝗮 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 can enhance the quality, consistency and compatibility of data for self-driving cars. Data standardization can also facilitate data sharing and integration among different stakeholders, such as manufacturers, regulators, service providers and users. 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 can allow self-driving cars to share information about traffic conditions, road hazards, route planning and vehicle status. 𝗙𝗼𝗴 𝗰𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 can enable self-driving cars to make faster and more accurate decisions based on real-time data from sensors, cameras, radars, GPS, other vehicles, infrastructure, maps, weather, traffic management systems and users. Fog computing can also increase the resilience of self-driving cars in case of network failures or cyberattacks. CloudAtlas is working towards making self-driving cars more reliable and convenient. .