Search

Calibration of microscopic simulation models is complex due to amongst other things the large number of model parameters, and the lack of suitable data. Rather than a qualitative test to determine whether model predictions are plausible on an aggregate (macroscopic) level, this contribution focuses on statistical calibration of model parameter from individual pedestrian trajectory data. To this end, a new generic approach is presented enables parameter estimation for microscopic models in general and in particular for walker models. The application results provide new insight into the behavior of individual pedestrians, the inter-pedestrian differences, as well as the resulting pedestrian flow characteristics. By comparing different models of increasing complexity, it is investigated which of the model amendments are significant from a statistical point of view and which are not. It is shown that besides anisotropy, finite reaction times play an important role in correctly describing microscopic walking behavior. [ABSTRACT FROM AUTHOR]

Free speeds are defined as the speeds pedestrians like to walk with when they are not hindered by other pedestrians. Since pedestrians have different characteristics influencing their choices, free speeds will differ among individuals. These pedestrian characteristics are often not taken into account explicitly, which makes it necessary to describe free speeds as a stochastic variable with a distribution. Moreover, (free) speeds will be influenced by the characteristics of the walking infrastructure, such as grade, length, width, the type of pedestrian facility, and weather and other external conditions. Free speeds and their distribution play an important role in many traffic flow models, but are also relevant in other applications. The aim of this research is to derive free speed distributions for a number of traffic flow conditions. The data on which the distributions are estimated come from large-scale laboratory walking experiments. In these experiments different traffic conditions are simulated, such as unidirectional flows, opposite flows, and crossing flows. Free speeds are highest in unidirectional flows (1.54 m/s), somewhat lower for opposite flows (1.41 m/s), and lowest for crossing flows (1.35 m/s). Reduction of this free speed is due to the interaction with other flows. For opposite flows, this interaction is reduced by lane formation (effect of self-organisation). For crossing flows however, this interaction cannot be reduced, since the flows have to interact during the crossing. [ABSTRACT FROM AUTHOR]

Microscopic simulation models predict different forms of self-organization in pedestrian flows, such as the dynamic formation of lanes in bi-directional pedestrian flows. The experimental research presented in this paper provides more insight into these dynamic phenomena as well as exposing other forms of self-organization, i.e. in case of over-saturated bottlenecks or crossing pedestrian flows. The resulting structures resemble states occurring in granular matter and solids, including their imperfections (so-called vacancies). Groups of pedestrians that are homogeneous in terms of desired walking speeds and direction appear to form structures consisting of overlapping layers. This basic pattern forms the basis of other more complex patterns emerging in multi-directional pedestrian flow: in a bi-directional pedestrian flow, dynamic lanes are formed which can be described by the layer structure. Diagonal patterns can be identified in crossing pedestrian flows. This paper both describes these structures and the conditions under which they emerge, as well as the implications for theory and modeling of pedestrian flows. [ABSTRACT FROM AUTHOR]