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Doctoral student in traffic safety focusing on data analysis and traffic simulation Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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- Experience supporting users working in transportation safety information systems, especially those using tools in traffic crash data and analytics - Experience with user software testing in transportation
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Ninety percent of the globe’s road traffic fatalities are located in Low- and Middle- Income Countries (LMICs) but the majority of research available to date addresses driver behaviour in high income
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maritime traffic and environmental conditions. Key Responsibilities: Develop autonomous drone navigation frameworks for safe and efficient multirotor operations in maritime environments. Formulate
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optimisation, and defining safe air corridors and operational capacity limits under varying maritime traffic conditions. Key Responsibilities: Develop multi-agent path-planning frameworks for safe
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greenhouse gas emissions and result in fuel saving. The initiative also aims to study the citywide impact of adapting to eco-friendly navigation on traffic, environment and road safety – therefore
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response to changing passenger demand, traffic conditions and public transport schedules, while accounting for differences in vehicle capacity, speed, energy use and service roles. It will explore
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response to changing passenger demand, traffic conditions and public transport schedules, while accounting for differences in vehicle capacity, speed, energy use and service roles. It will explore
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or more of the following areas: emerging mobility, mixed traffic modelling, connected and automated vehicles, micromobility, experimental design using driving simulators, virtual reality (VR) and