Department / Institute: Dr. Anastasios Kouvelas
Equitable Urban Traffic Management Systems with Karma Congestion Pricing
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
A Time-varying Shockwave Speed Model for Trajectory Reconstruction using Lagrangian and Eulerian Observations
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.
Bicycle as a traffic mode: From microscopic cycling behavior to macroscopic bicycle flow
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
Drive Forward: Revolutionizing Traffic with Advanced Vehicle Trajectory Reconstruction
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.
Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning
Envisioning a Cycling-centric Future: Urban Traffic Modeling and Management for a Bi-modal Network
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
CSFM Seminar: New Regulations on Autonomous Vehicles for Switzerland
Designing anti-fragile large-scale traffic frameworks
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
Antifragile Urban Mobility: Traffic Control Beyond Resilience
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.
A Multi-objective Calibration Framework for Capturing the Behavioral Patterns of Autonomously-driven Vehicles
E-Bike City: Nur noch die Hälfte der Strassen für die Autos
E-Bike City
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
Advances in Transportation & Mobility Planning
Sustainable Future Mobility Symposium: CSFM’23
hEART 2023 – 11th Symposium of the European Association for Research in Transportation
E-Bike City Kolloquium
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.
Will E-Bikes Bring Amsterdam and Copenhagen to Switzerland?
ETH Zurich – Center for Sustainable Future Mobility
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.
CAS Verkehrsingenieurwesen
An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation
Ride Comfort Assessment for Automated Vehicles Utilizing a Road Surface Model and Monte Carlo Simulations
Recovery Preparedness of Global Air Transport Influenced by COVID-19 Pandemic: Policy Intervention Analysis
Traffic Control Beyond Modes
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
Evaluation of Self-Control
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
Time-to-Green
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
SODA – Self-Organized, Distributed, and Adaptive Traffic Control
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
OptFlow – Travel-time estimation with FLIR cameras sensors
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
RECCE – Real-time highway traffic estimation and control
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
Neues Center für nachhaltige Mobilität der Zukunft lanciert
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
Modeling, Estimation, and Control in Large-scale Urban Road Networks with Remaining Travel Distance Dynamics
Dr. Anastasios Kouvelas | Traffic Engineering and Control
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).
Infoveranstaltung CAS Verkehrsingenieurwesen
Largest Multi-city Traffic Dataset «UTD19» is now Publically Available!
Over the last four years, the Institute for Transportation Planning and Systems (IVT) at ETH Zurich and CITIES at NYU Abu Dhabi have gathered urban traffic data from over 40 cities worldwide, including London, Tokyo, and Zurich. In total, almost 5 billion vehicles covering a combined time span More
POSTPONED: 7th SCCER Mobility Annual Conference
23 November 2020 (tentative) | ETH Zurich. As 7 years of SCCER Mobility slowly draw to an end, we invite you to this conference to present a synthesis of the competence center, to review the most relevant research results of each capacity area and conclude with an outlook on More
«In the Next Few Years, There Will be More Automation in Mobility.»
Anastasios Kouvelas now leads the group Traffic Engeneering (SVT) at the Institute for Transport Planning and Systems (IVT). He thinks the shift from human driven to automated cars is like the shift from horse-car traffic to automobiles. Learn more about his views on the future of our daily road More
CAS/DAS Verkehrsingenieurwesen ab Herbst 2021
nextRail19: Agile models for railway system planners and managers
12.-14. September 2019 | Internationale Bahn- und Mobilitätstagung | ETH Campus in Zürich. Diese Tagung wird erneut ein breites internationales Publikum von Wissenschaftlern, Entscheidungsträgerinnen, und Fachleuten aus den Bereichen Bahn und Mobilität anziehen. Die Tagung wird im bewährten Format weitergeführt: Symposium (Donnerstag), Seminare (Freitag), gefolgt von einem technischen Ausflug More
Traffic Management in the Era of Connected and Autonomous Mobility
29 July 2019, 08:30–14:30 | ETH Zurich, MM C 78.1, Leonhardstrasse 34, 8092 Zurich. Workshop by Anastasios Kouvelas with Prof. J. Haddad, Dr. A. Kouvelas, Prof. J.C. Muñoz, Dr. M. Ramezani, and Dr. J. Casas. Please register by e-mail until 19 July 2019. No registration fee. Programme