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Application of the Point-Descriptor-Precedence representation for micro-scale traffic analysis at a non-signalized T-junction

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Geo-Spatial Information Science 2023年第3期26卷 406-430页

作者： amna.qayyum Bernard De Baets Laure De Cock Frank Witlox Guy De Tré Nico Van de Weghe Department of Geography Ghent UniversityGhentBelgium Department of Data Analysis and Mathematical Modelling Ghent UniversityGhentBelgium Department of Telecommunications and Information Processing Ghent UniversityGhentBelgium

An intersection of two or more roads poses a risk for potential conflicts among *** the reasons triggering such conflicts are not clear,as they might be too subtle for the human *** environment also plays a part in understanding where,when,and why a particular vehicle interaction has occurred in a certain ***,it is of paramount importance to dive deeper into the vehicle interaction at a micro-scale within the embedded geographical environment,particularly at the *** would in turn assist in evaluating the association of vehicle interactions with conflict risks and near-miss ***,detection of such micro traffic interactions could also be used to improvise the complexity of the already established transport ***,traffic at intersections has been explored mainly for flow estimation,capacity and width measurements,and traffic congestion,etc.,whereas the detection of micro-scale traffic interactions at intersections remains relatively *** this paper,we present a novel approach to retrieve and represent micro-scale traffic movement interactions at a non-signalized T-junction by extending a recently introduced qualitative spatiotemporal Point-Descriptor-Precedence(PDP)*** study how the PDP representation offers a fine solution to study the interaction of traffic flows at *** permits tracking the micro-movement of vehicles in much finer detail,which is used later to retrieve movement patterns from a motion *** conventional approaches,we start our approach with the actual movements before modeling the static intersection ***,with the aid of illustrative examples,we discuss how the length,width,and speed of the vehicles can be exploited in our approach to detect specific patterns more ***,we address the potential benefits of our approach for traffic safety assessment and how it can be extended to a network of

关键词： Vehicle interaction traffic research pattern identification traffic safety spatiotemporal representation movement pattern

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