Print Email Facebook Twitter An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments Title An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments Author Ni, Ying (Tongji University) Li, Y. (TU Delft Transport and Planning; Tongji University) Yuan, Y. (TU Delft Transport and Planning) Sun, Jian (Tongji University) Date 2023 Abstract In recent years, the interest in riding in cities using the two-wheeler (e.g., bicycles, electric bicycles, electric mopeds, etc.) increases. Mixed-traffic road segments are one of the most common traffic scenes where the mixed two-wheeler flows exist. Because the movements are often not restricted by lanes, the two-wheeler uses lateral road space more freely and shows obvious multilateral interactions (i.e. multi-interaction) with others, bringing issues that endanger traffic safety. A precise estimation of its impacts on traffic operation and safety is necessary, while the microscopic simulation model can satisfy the need as a helpful tool. However, most existing simulation models of these three types of two-wheelers are essentially focusing on handling the one-on-one interaction. The capability to deal with the two-wheeler multi-interaction in mixed traffic is still rare, and the description of what endogenous tasks are contained by the multi-interaction has also not given by literature. To this end, this paper first defines what the multi-interaction entails on the operational behaviour level, claiming that it contains three intertwined processes, namely a (mental) perception, a (mental) decision, and a physical process. The (mental) perception and decision processes represent the recognition of interactions and the response to traffic conditions, while the physical process refers to the execution of these mental activities. A three-layer simulation framework has then been developed, where each layer sequentially corresponds to one of the operational behaviour tasks. Integrated component models are also proposed in each layer to cover these operational tasks. A Comfort Zone model is hence put forward to dynamically perceive the multiple interactive road users, while a Bayesian network model is developed to deal with the decision-making process under multi-interaction situations. Meanwhile, a behaviour force model is also proposed to capture the non-lane based movements following the selected behaviour and current interaction states. Finally, we face validate the proposed models by the comparison between simulation results and observations obtained from trajectory dataset. Results indicate the model performance matches the observed interaction and motion well. Subject Bayesian networkComfort zoneMixed bicycle flowMulti-interactionOperational behaviourThree-layer framework To reference this document use: http://resolver.tudelft.nl/uuid:83a9312f-ba78-4da9-bbc9-ceca05363b5b DOI https://doi.org/10.1016/j.physa.2022.128441 Embargo date 2023-07-01 ISSN 0378-4371 Source Physica A: Statistical Mechanics and its Applications, 611 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Ying Ni, Y. Li, Y. Yuan, Jian Sun Files PDF 1_s2.0_S0378437122009992_main.pdf 5.13 MB Close viewer /islandora/object/uuid:83a9312f-ba78-4da9-bbc9-ceca05363b5b/datastream/OBJ/view