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Pr. Mohamed Mosbah Professor in Computer Science, Vice-President of Bordeaux INP, France Head of the industrial chair “Mobility and Intelligent Transports” in the Campus of Bordeaux |
Mohamed Mosbah is a professor of computer science at the Polytechnic Institute of Bordeaux, where he currently serves as Vice-President. He previously held the position of Director of Industrial Partnerships and Innovation in Computer Science and Engineering. Prof. Mosbah conducts his research at LaBRI (Laboratory for Computer Science of Bordeaux), a joint research center affiliated with the University of Bordeaux and CNRS, where he also served as Deputy Director. His research interests span Intelligent transportation systems, distributed computing and ad hoc and sensor networks. Prof. Mosbah actively contributes to the academic community through his involvement in numerous technical program committees and the organization of international conferences. He is also engaged in a variety of regional, national, and European research projects. Currently, he leads an industrial chair on new mobilities and Intelligent Transport Systems, in partnership with the Bordeaux campus and 10 companies.
Title: Smart Connected Transport Systems: Towards Safe, Smooth, and Sustainable Mobility
Abstract: In recent years, transport systems have become increasingly connected, incorporating a wide range of digital applications that address complex challenges such as safety, traffic management, and environmental impact. Advances in network technologies and embedded systems allow various road entities—vehicles, pedestrians, and infrastructure—to exchange and share data, leading to more efficient and responsive transportation networks. These are known as Cooperative Intelligent Transport Systems (C-ITS).
Emerging technologies like connected devices, smart sensors, and sophisticated data processing algorithms are driving the transformation of the transport sector. For example, V2X (Vehicle-to-Everything) communications enhance safety, improve traffic flow, reduce emissions, and offer better services to users.
Artificial Intelligence (AI) plays a critical role in this transformation by enabling real-time data analysis and decision-making. AI can predict traffic patterns, optimize routes, and manage autonomous vehicle operations, improving efficiency and reducing congestion. Additionally, AI-driven systems enhance road safety by detecting and responding to potential hazards faster than human drivers. AI also facilitates predictive maintenance for vehicles and infrastructure, helping to reduce downtime and ensure smoother operations.
This presentation will provide an overview of the state-of-the-art in C-ITS and AI applications, highlighting their crucial role in enhancing mobility for smarter and more sustainable cities.
