To decarbonize urban transport systems, promoting active modes by allocating more road space to cycling infrastructure to achieve a radical modal shift has become a popular transport policy. However, such policies usually receive strong public opposition due to the concern of traffic congestion caused by reduced road capacity More
The new project FEDORA develops multimodal traffic management solutions in future networks. The Traffic Engineering group, IVT at ETH Zurich, will work on social optimum models, developing dynamic pricing and incentivisation models for traffic management applications, as well as a model-agnostic simulation platform for seamless integration of diverse More
Modern cities suffer from a multitude of stressors, including congestion, pollution and crises. AntifragiCity is a new European research project that aims to deliver better services to citizens through antifragile designs, with solutions that improve under real-world stress. The Traffic Engineering group, IVT at ETH Zurich, leads the More
The average trip length in Swiss cities is under 14km, with around 60% of trips below 6km. Despite the potential for healthier, more sustainable alternatives, nearly half of the total distance travelled is by car. Bicycles play a key role in recent initiatives (e.g. E-Bike City project from More
AntifragiCity is a groundbreaking European research initiative aiming to revolutionize how urban mobility systems respond to disruptions. Rather than merely resisting shocks, AntifragiCity envisions cities that learn, adapt, and grow stronger through challenges—embracing the concept of antifragility. To realize this vision, the project will develop a comprehensive framework More
The average trip length in Swiss cities is under 14km, with around 60% of trips below 6km. Despite the potential for healthier, more sustainable alternatives, nearly half of the total distance traveled is by car. Bicycles play a key role in recent initiatives (e.g. E-Bike City project from More
Federation of network optimisation services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic management. Lack of orchestration, structured and standardized integration protocols and metadata descriptors, incorporation of real-world traffic complexities and nuances, underutilization of valuable resources, model uncertainties and integration of micro-mobility services More
Automated vehicle technologies offer a promising avenue for enhancing traffic efficiency, safety, and energy consumption. Among these, Adaptive Cruise Control (ACC) systems stand out as a prevalent form of automation on today’s roads, with their time gap settings holding paramount importance. While decreasing the average time headway tends More
The E-Bike City project’s design is anchored in shifting away from private car use, particularly for daily commuting. It does so by ensuring access to shared vehicle hubs within 200 meters (or another designated distance) of every residence, promoting convenience and accessibility.
If you missed the event «E-Bike City: Results & Future», have a look at the downloads and recordings section on this website. It offers a brochure, presentations, posters, video recordings, and street visualisations. May they positively impact our traffic situation and quality of life!
Der ETH Master-Studiengang Raumentwicklung und Infrastruktursysteme bietet eine fundierte, interdisziplinäre Ausbildung in Stadtplanung, Mobilität und Infrastrukturmanagement. Durch die Verbindung von Theorie und Praxis entwickeln Studierende nachhaltige Lösungen für aktuelle Herausforderungen. In Kooperation mit Professorinnen, Professoren und Studierenden ist ein kurzes Video entstanden, um Studieninteressierte für diesen Fachbereich und More
Most cities do not charge for driving. Do you think that is fair? It causes externalities such as noise and pollution to residents and shops. In peak-hours of congestion, valuable life time, money, and fuel are wasted. Do you think driving in the city should be priced? Do More
Inference of detailed vehicle trajectories is crucial for applications such as traffic flow modeling, energy consumption estimation, and traffic flow optimization. Static sensors can provide only aggregated information, posing challenges in reconstructing individual vehicle trajectories.
Cities allocate dedicated road space to bicycles in favor of active-mode road users. For urban environments with a mass bicycle volume, bicycle traffic congestion is likely to occur. Hence, a thorough understanding of bicycle traffic flow is necessary for the assessment of cycling infrastructure and the development of More
Understanding how vehicles move is crucial for safer, more coordinated, and smarter transportation systems. However, directly observing vehicle trajectories is impractical, posing a challenge to obtaining accurate trajectory data with limited sensing capabilities. We explore our innovative approach to vehicle trajectory reconstruction, reshaping the future of traffic management.
Allocating dedicated road space to slow modes is considered an effective way toward a radical modal shift. By exploiting traffic flow theoretical knowledge, convenient models can be developed to help evaluate the influence of such a large-scale transformation on network traffic performance. Novel strategies for bi-modal urban traffic More
Traffic optimisation Goals Design and develop a framework to fuse physics knowledge in the design of the large-scale system optimisation by means of machine learning, control theory, and simulation in order to achieve antifragile behaviour at scale. Provide an instantiation of the framework for traffic optimisation. Provide a More
Explore the future of urban mobility with ETH Zürich’s Antigones project. Pioneering antifragility in traffic control, it transcends resilience, adapting to disruptions for efficient and disruption-resistant road networks. Antifragile frameworks can recognize early disruptions and mitigate the negative impact on users and society.
E-Bike City is a lighthouse project of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG) at ETH Zurich. Over the next three years, seven chairs will join forces to explore the effects of an urban future giving absolute priority to cycling, micromobility and public transport. Main Idea More
8. Juni 2023, 9:00 – 18:30 | ETH Zürich, Zentrum, Audimax. An diesem Kolloquium werden die sieben Forschungsgruppen des D-BAUG Leuchtturmprojekts «E-Bike City» nicht nur ihre vorläufigen Ergebnisse präsentieren, sondern auch die Teilnehmenden aktiv in die Gestaltung der Forschungsfragen einbeziehen.
6 May 2022, registration deadline 15. April 2022, 08:00 | Kick-off Symposium | ETH Zürich, Centre, HG E3. The Center for Sustainable Future Mobility (CSFM) has been established at ETH Zurich in order to promote research on sustainable and future-proof traffic and transport systems.
Future developments of mobility pass through a phase of complementarity and blending of modes. From this point of view, the potential benefits (i.e. societal, monetary) of mobility management across modes is very interesting. Commuters consider and plan their mobility comprehensively; they have access to multimodal information and routing, More
In order to meet the increasing demand for mobility and, above all, to reduce the resulting problems such as congestion, time loss, negative impacts on the environment, etc. in urban regions, a large number of traffic management approaches have been developed and implemented in recent decades. A major More
In light of the newer developments in transportation systems, the Dienstabteilung Verkehr (DAV), the Traffic Service Department of the City of Zurich is interested in upgrading and preparing its traffic-management systems for the V2X era. Based on different projects presented at ITS conferences, DAV has come up with More
The main objective of this research proposal is to develop a smart traffic-management system that works in an automatic, distributed, self-organized way, to control (i) traffic signal lights and (ii) route guidance based on recent, advanced sensor technologies, which provide sampled-identified data such as V2I communication. We think More
Novel sensor technology represents a significant potential for traffic management in cities. Thermal cameras in particular have recently gained considerable importance and are now also to be used in the Traffic Management Department (DAV) of the City of Zurich. In this context, the determination of accurate travel times More
This project focuses on developing integrated control solutions (i.e. co-ordinated ramp metering: RM and variable speed limits: VSL) to manage congestion on motorway networks. An efficient real-time solution of this problem requires the development of new control methodologies that are based on advanced techniques from the domains of More
Zukunftsfähige Verkehrs- und Transportsysteme sind gefragt, die das Ziel unterstützen, die Treibhausgasemissionen bis 2050 auf Netto Null zu senken und erneuerbare Energiequellen zu nutzen. Die ETH-Schulleitung hat der Gründung des neuen «Center for Sustainable Future Mobility» (CSFM) als Kompetenzzentrum der ETH Zürich zugestimmt und eine Anschubfinanzierung für vier More
Dr. Anastasios Kouvelas is the Director of the Traffic Engineering and Control research group at the Institute for Transport Planning and Systems (IVT), Dept. of Civil, Environmental and Geomatic Engineering, ETH Zurich (since August 2018). Prior to joining IVT, he was a Research Scientist at the Urban Transport Systems Laboratory (LUTS), EPFL (2014-2018), and a Postdoctoral Fellow with Partners for Advanced Transportation Technology (PATH) at the University of California, Berkeley (2012–2014).