Researchers propose MS-NN-steer, a model-structured neural network for autonomous vehicle steering control that integrates nonlinear vehicle dynamics. The controller was validated using real-world data from the Abu Dhabi Autonomous Racing League (A2RL) competition. MS-NN-steer demonstrates improved accuracy, generalization, and robustness compared to general-purpose NNs and the A2RL winning team's controller. Why it matters: This research demonstrates a promising approach to developing transparent and reliable AI for safety-critical autonomous racing applications in the UAE.
MBZUAI graduates Abdulla and Abdulrahman Almarzooqi are developing AI systems to improve UAE road safety. Abdulla's research focuses on external highway monitoring using MLLMs to analyze driving scenes and generate accident reports, while Abdulrahman's work uses in-cabin sensors to detect driver fatigue and distractions. Together, their systems aim to create a comprehensive view of factors influencing traffic accidents, with potential applications in ADAS and automated accident reporting. Why it matters: This research showcases the potential of AI agents and multimodal LLMs to proactively enhance road safety in the UAE and reduce traffic-related incidents.
Virgin Hyperloop is collaborating with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi to develop an AI-powered operating system for its hyperloop transport system. The operating system aims to optimize the hyperloop's operations, including fleet management and vehicle movement, for the proposed 1,080 kph system. Co-founder Josh Giegel highlighted the Gulf's keen interest and involvement in the project, with Dubai's DP World being a major investor. Why it matters: This partnership signifies the UAE's growing role in cutting-edge transportation technology and the application of AI in optimizing complex systems, potentially revolutionizing regional and global transport.
MBZUAI and Virgin Hyperloop have signed an MoU to collaborate on AI research and innovation for the transportation sector. The partnership will focus on joint research in computer vision, cloud computing, and commercial projects in smart transportation. Hyperloop aims to transport passengers and goods at speeds exceeding 1,000km/h, becoming a sustainable means of mass transportation. Why it matters: This collaboration highlights the UAE's focus on using AI to advance transportation technology and its ambition to become a global hub for innovation in the region.
TII-EuroRacing Team, comprised of researchers from TII's ARRC and UNIMORE, is participating in the Indy Autonomous Challenge (IAC) at CES 2023 in Las Vegas. The team will compete with its DO12 racecar, a Dallara AV-21 retrofitted with automation hardware and advanced prototype software. The IAC aims to accelerate the commercialization of fully autonomous vehicles and advanced driver assistance systems. Why it matters: This participation allows TII to test and improve its autonomous vehicle technology in a dynamic environment, contributing to the advancement of autonomous systems in the region.
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'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.
Virgin Hyperloop One (VHO) and King Abdullah University of Science and Technology (KAUST) have signed a Memorandum of Understanding to foster collaboration in technology and transportation. The partnership aims to support Saudi Arabia's technology and transport sector development through knowledge exchange. This follows VHO's prior technology partnership with the MiSK Foundation in 2017. Why it matters: The collaboration aligns with Saudi Vision 2030, aiming to establish the Kingdom as a hub for advanced transportation technology and innovation in the Gulf region.
A group of KAUST students and research scientists from the Clean Combustion Research Center (CCRC), Extreme Computing Research Center (ECRC) and Computer, Electrical and Mathematical Science & Engineering (CEMSE) division attended the 2019 Formula 1 Bahrain Grand Prix. This was part of the five-year research and development agreement between KAUST and McLaren Racing Limited. The KAUST group joined members from McLaren at the Bahrain International Circuit to observe the results of their partnership. Why it matters: This collaboration demonstrates KAUST's commitment to applying its research expertise in advanced engineering and computing to real-world challenges in motorsports, potentially leading to innovations in vehicle performance and efficiency.
Siemens CTO Rainer Speh spoke at KAUST about smart cities, noting that urban populations are growing, especially in cities like Riyadh and Jeddah. Cities consume two-thirds of the world's energy and generate 70% of CO2 emissions. Siemens is working on a driverless subway system in Riyadh as part of its smart city initiatives. Why it matters: Smart city initiatives are crucial for managing resources and reducing emissions in rapidly growing urban centers in Saudi Arabia.
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.
MBZUAI student Fatima Ahmed Khalil Mohamed Alkhoori is researching machine learning techniques to improve traffic sign recognition for autonomous vehicles. Her work focuses on using transformer model architectures to enhance the ability of autonomous vehicles to accurately recognize traffic signs in varying environmental conditions. The research aims to address challenges such as viewing angle, lighting variations, and shadows that can confuse regular models. Why it matters: This research contributes to the advancement of safe and effective autonomous vehicle navigation, aligning with the UAE's vision of having a world-class transportation system.
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.
MBZUAI students achieved top honors at the 2022 Dubai Roads and Transport Authority’s (RTA) Transport Hackathon. Sultan Abu Ghazal and his team developed Scooty, an app for scooter safety monitoring that rewards users for rule adherence. Muhammad Uzair Khattak led a team that created Salem, a mobile application to monitor motorcycle delivery drivers' safety and reduce traffic infractions by using computer vision and mobile sensors. Why it matters: The hackathon win highlights the practical AI skills being developed at MBZUAI and their application to real-world transportation challenges in the UAE.
Munther Dahleh, director at the MIT Institute for Data, Systems, and Society (IDSS), discussed his group's research on network systems at the KAUST 2018 Winter Enrichment Program. The research focuses on the fragility of large networked systems, like highway systems, in response to disruptions that may lead to catastrophic failures. Dahleh's team studies transportation networks, electrical grids, and financial markets to understand system interconnection in causing systemic risk. Why it matters: Understanding networked systems is crucial for building resilient infrastructure and mitigating risks in critical sectors across the GCC region.