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- W3208834195 abstract "In this paper we present a novel and comprehensive simulation framework that we have named AMEM (A Multidisciplinary Evacuation Model) for vehicle traffic modelling in urban areas – with a specific focus on large-scale evacuation scenarios. In general, the value of a comprehensive urban traffic modelling system is that it can assist authorities in identifying parts of a road transportation network that exhibit poor performance, or unanticipated and negative emergent properties under a variety of conditions. Such conditions can arise from planned or projected changes to the road infrastructure, or more interestingly, in reaction to uncommon or rare 100 year events. These are not the typical day to day traffic events that can be monitored and measured directly. In AMEM, we combine a number of different elements in our modelling, including routing, car-following, behaviour, driving culture, traffic light signalling, and psychological patterns. We validated the AMEM framework using real traffic data harvested from a network of Bluetooth and road sensors deployed in Wellington, New Zealand, and used this data as the basis for 13 scenarios. We also included in our study a unique socio-technical factor – the use of navigation systems, in part to address the question as to if such systems help or hinder traffic movement during an evacuation. Our results suggest that the use of navigation systems, as currently implemented, have a potentially negative impact on the evacuation process in dense urban areas." @default.
- W3208834195 created "2021-11-08" @default.
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- W3208834195 date "2021-09-01" @default.
- W3208834195 modified "2023-09-23" @default.
- W3208834195 title "Traffic, Earthquakes and Evacuations : A Data Driven Multi-disciplinary Simulation Framework" @default.
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- W3208834195 doi "https://doi.org/10.1109/escience51609.2021.00015" @default.
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