MBZUAI graduate Maryam Mohamed Buty Alghfeli's master's research focused on using the metaverse to enhance intelligent transportation systems and vehicular networks. Her work proposed a framework for sensing, communication, and task offloading in the vehicular metaverse, addressing challenges related to computing and communication resource constraints. The research also considered self-sustainability and proactive learning approaches to improve network operation and serve autonomous vehicles. Why it matters: This research contributes to the development of more efficient and resilient autonomous vehicle networks, which are crucial for the future of smart cities and transportation in the UAE and beyond.
This article discusses the application of uncertain time series (UTS) approach to manage and analyze big traffic data for high-resolution vehicular transportation services. The study addresses challenges such as data sparseness, decision-making among multiple UTSs, and future forecasting with spatio-temporal correlations. Jilin Hui, previously a Research Associate at the Inception Institute of Artificial Intelligence (UAE), is applying this approach to solve problems related to increased congestion, greenhouse gas emissions, and reduced air quality in urban environments. Why it matters: The application of AI techniques to traffic management could significantly improve urban mobility and environmental sustainability in the GCC region and beyond.
Dirk Ahlborn discussed the future of transport in his WEP keynote address at KAUST on January 11. He specifically addressed the Hyperloop concept. Why it matters: Such discussions at leading institutions signal growing interest in innovative transport solutions within the region.
PwC is currently developing a comprehensive artificial intelligence strategy and a five-year masterplan for an unspecified transport authority located within the Middle East region. This initiative aims to outline a strategic roadmap for integrating AI technologies into the authority's operations and services over the next half-decade. The project signals a consulting engagement focused on enhancing future transportation capabilities through advanced technological adoption. Why it matters: This highlights a proactive regional commitment to leveraging AI for critical infrastructure development and operational efficiency in the Middle East's public transport sector.
KAUST's Fuel Lubricants Efficient Engine Technology (FLEET) Consortium, established with OSP last year, added Luberef and Ferrari as new members. FLEET has completed six projects in its first year, including studying liquid spray and combustion, developing fuel cells, and capturing energy from ship engines. Eight new projects have been announced, including lubricant exploration for electric and hydrogen vehicles and improving hydrogen engine performance. Why it matters: The expansion of FLEET and its new projects underscore Saudi Arabia's commitment to carbon neutrality through collaborative research and development in sustainable transportation technologies.
KAUST and the WEF's Fourth Industrial Revolution Center co-hosted a workshop on the responsible adoption of autonomous transport systems in Saudi Arabia. The workshop brought together experts from universities, government, and private sectors to harmonize policies and regulations. Discussions focused on experimental testing, aligning goals with global standards, and forming a community of stakeholders. Why it matters: This initiative signals Saudi Arabia's proactive approach to integrating autonomous technologies into its transportation sector in a safe and regulated manner, aligning with its "Future of Transportation" initiative.
KAUST has launched self-driving shuttles on its campus, making it the first adopter of autonomous vehicles in Saudi Arabia. The pilot project utilizes vehicle technology from Local Motors and EasyMile. SAPTCO will operate the autonomous shuttles and manage operations with Saudi staff. Why it matters: This initiative advances Saudi Arabia's 2030 Vision and positions KAUST as a regional leader in smart city development and AI research.