Routing choices of walking pedestrians in geometrically complex environments are regulated by the interplay of a multitude of factors such as local crowding, (estimated) time to destination, (perceived) comfort. As individual choices combine, macroscopic traffic flow patterns emerge. Understanding the physical mechanisms yielding macroscopic traffic distributions in environments with complex geometries is an outstanding scientific challenge, with implications in the design and management of crowded pedestrian facilities. In this work, we analyze, by means of extensive real-life pedestrian tracking data, unidirectional flow dynamics in an asymmetric setting, as a prototype for many common complex geometries. Our environment is composed of a main walkway and a slightly longer detour. Our measurements have been collected during a dedicated high-accuracy pedestrian tracking campaign held in Eindhoven (The Netherlands). We show that the dynamics can be quantitatively modeled by introducing a collective discomfort function, and that fluctuations on the behavior of single individuals are crucial to correctly recover the global statistical behavior. Notably, the observed traffic split substantially departs from an optimal, transport-wise, partition, as the global pedestrian throughput is not maximized.
Determining social mechanisms for sequential decision-making in a virtual pedestrian route choice experiment
School of Mathematics, University of Leeds（利兹大学数学学院）；School of Engineering Mathematics and Technology, University of Bristol（布里斯托尔大学工程数学与技术学院）；School of Public Affairs, University of Science and Technology of China（中国科学技术大学公共事务学院）
Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics
Eindhoven University of Technology（埃因霍温理工大学）；University of Ferrara（费拉拉大学）；INFN Ferrara（意大利国家核物理研究所费拉拉分部）；Consiglio Nazionale delle Ricerche - Istituto per le Applicazioni del Calcolo（意大利国家研究委员会计算应用研究所）
Vehicles, Pedestrians, and E-bikes: a Three-party Game at Right-turn-on-red Crossroads Revealing the Dual and Irrational Role of E-bikes that Risks Traffic Safety
When one protocol fits none: Self-organized network routing through evolutionary game dynamics
University of Zaragoza（萨拉戈萨大学）；Institute for Biocomputation and Physics of Complex Systems, University of Zaragoza（萨拉戈萨大学复杂系统物理与生物计算研究所）；Universidad del Pacífico（太平洋大学）；Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), CSIC-UIB（跨学科物理与复杂系统研究所（CSIC- UIB））；Centro Studi e Ricerche ”Enrico Fermi” (CREF), CNR（恩里科·费米研究中心（CNR））
