Recent Submissions 

  1. Properties of Bacillus subtilis pressure superdormant spores and potential underlying mechanisms 

    Delbrück, Alessia I.; Zhang, Yifan; Heydenreich, Rosa; et al. (2022)
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  2. "Ans Licht holen" – Zu Neueditionen "vergessener" Werke Max Frischs 

    Amslinger, Tobias (2022)
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  3. Max Frisch als Verfasser Offener Briefe 

    Amslinger, Tobias (2022)
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  4. The New Geodetic Prediction Center at ETH Zurich 

    Soja, Benedikt; Kiani Shahvandi, Mostafa; Schartner, Matthias; et al. (2022)
    EGUsphere
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  5. Analysis of activity time use and timing behavior in Switzerland during the first 18 months of the COVID-19 pandemic 

    Mesaric, Raphael; Winkler, Caroline; Molloy, Joseph; et al. (2022)
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  6. Choice set generation for large-scale cycling networks 

    Felder, Matteo; Meister, Adrian; Axhausen, Kay W. (2022)
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  7. Route choice modelling of cyclists on large-scale networks 

    Meister, Adrian; Felder, Matteo; Axhausen, Kay W. (2022)
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  8. Total Electron Content Monitoring Complemented with Crowdsourced GNSS Observations 

    Klopotek, Grzegorz; Soja, Benedikt; Awadaljeed, Mudathir; et al. (2022)
    EGUsphere
    Global Navigation Satellite System (GNSS) is a well-recognized observation technique in studies on the ionosphere due to its sensitivity to the total electron content (TEC). The era of modern smartphones, running on Android version 7.0 and higher, facilitates the acquisition of raw dual-frequency GNSS measurements, paving the way for the GNSS community data to be potentially exploited in geoscience applications. One can assume that the ...
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  9. Endogenous choice set formation model 

    Schmid, Basil; Swait, Joffre; Kassahun, Habtamu T.; et al. (2022)
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  10. Discrete choice modeling with anonymized data 

    Balać, Miloš; Hörl, Sebastian; Schmid, Basil (2022)
    This paper presents an approach to estimate mode-choice models from spatially anonymized revealed preference travel survey data. We propose an algorithm that aims to find a feasible sequence of activity locations, for each individual, that minimizes the maximum error of each trip’s Euclidean distance within the activity chain. The reconstructed activity locations are then used to create unchosen alternatives within the choice set for each ...
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  11. Extension of the hyper run assignment model to real-time passengers forecasting in congested transit networks considering dynamic service disruptions 

    Bresciani Miristice, Lory M.; Gentile, Guido; Corman, Francesco (2022)
    Recurrent and non-recurrent congestion phenomena increasingly affect densely interconnected transit networks. In particular, typical congestion phenomena, service disruptions, and atypical demand can lead to low levels of service, harming planned schedules. Therefore, transit operators require a tool to perform service recovery (e.g., introducing new runs) and inform passengers about crowding (e.g., through real-time information panels ...
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  12. Modelling realistic energy losses from variable efficiency and vehicle systems, in determining energy efficient train control 

    Nold, Michael; Corman, Francesco (2022)
    The reduction of the energy consumption is an increasingly important topic of the railway system. Energy efficient train control (EETC) is one solution, which refers to mathematically computing when and how much to accelerate, the cruising speed, possibly coasting over a suitable space and where and how much to brake. Most approaches in literature and industry simplify greatly a lot of non-linear effects, such that they ignore mostly the ...
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  13. Controller design for a mixed traffic system travelling at diffrent desired speeds 

    Mousavi, Shimaossadat; Bahrami, Somayeh; Kouvelas, Anastasios (2022)
    In this work, we study a mixed traffic system moving along a single- lane open-road. This platoon includes a number of human-driven vehicles (HDVs) together with one connected and automated vehicle (CAV). The dynamics of HDVs are assumed to follow the optimal velocity model (OVM), and the acceleration of the single CAV is directly controlled by a static output-feedback controller. Due to different traffic conditions, the desired velocity ...
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  14. Modelling route choice of cyclists in Zurich 

    Meister, Adrian (2022)
    Cycling is becoming an increasingly popular mode of transport in many regions of the world. For Switzerland, and similar to other countries, the COVID-19 pandemic has boosted cycling (Molloy et al., 2020; Meister et al., 2021b) on top of a general trend of increased bike usage (BfS, 2010, 2015). Apart from their positive effects on health and low land-use requirements, private (e)-bikes have very low life-cycle emissions and hence make ...
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  15. Travel demand generation using Bayesian networks 

    Sallard, Aurore; Balać, Miloš (2022)
    Agent-based models have gained popularity over the last years as they allow simulating the travel behavior at the individual scale. They are thus of great interest to assess the impacts of transportation policy measures. However, to ensure reliable results, those models are data-intensive, with regards to transport supply and demand. In particular, a detailed description of the population and its travel behavior is required. Bayesian ...
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  16. Choice set generation for large-scale cycling networks 

    Felder, Matteo; Meister, Adrian; Axhausen, Kay W. (2022)
    This work presents a sensitivity analysis of the Breadth First Search on Link Elimination (BFS-LE) algorithm in the context of choice set generation for the modelling of cyclists' route choice. Compared to motorised traffic, modelling cyclists typically requires much more complex networks due to the unrestricted nature of how they can move through urban space. In comparison to other methods, the literature indicates that the BFS-LE algorithm ...
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  17. In Situ Vertical Profiles to Measure Seasonal Variation in Dissolved HOC Concentrations at the Sediment-Water and Air-Water Interphases 

    Nybom, Inna; van Grimbergen, Janneke; Forsell, Mari; et al. (2022)
    Abstract Book. SETAC Europe 32nd Annual Meeting 2022
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  18. Surrogating stochastic simulators from sample trajectories using a non-Gaussian random field approach 

    Lüthen, Nora; Marelli, Stefano; Sudret, Bruno (2022)
    Stochastic simulators are a class of computational models that give a different response each time they are run, even if the same input parameters are used. Such a simulator can be viewed as a random field, indexed by the space of its input parameters. We focus on a class of stochastic simulators for which it is possible to generate trajectories, i.e., evaluations of the simulator throughout the space of input parameters for which the ...
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  19. Poincaré chaos expansions for global sensitivity analysis and surrogate modelling 

    Lüthen, Nora; Roustant, Olivier; Gamboa, Fabrice; et al. (2022)
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