PAXelerate - An Open Source Passenger Flow Simulation Framework for Advanced Aircraft Cabin Layouts

Author(s):  
Michael Schmidt ◽  
Marc Engelmann ◽  
Tobias Brügge-Zobel ◽  
Mirko Hornung ◽  
Martin Glas
Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2485
Author(s):  
Shakir Ullah ◽  
Saeed Ur Rehman ◽  
Peter Han Joo Chong

Light Fidelity (LiFi) is a new candidate for wireless networking that utilizes the visible light spectrum and exploits the existing lighting infrastructure in the form of light-emitting diodes (LEDs). It provides point-to-point and point-to-multipoint communication on a bidirectional channel at very high data rates. However, the LiFi has small coverage, and its optical gain is closely related to the receiver’s directionality vis-à-vis the transmitter, therefore it can experience frequent service outages. To provide reliable coverage, the LiFi is integrated with other networking technologies such as wireless fidelity (WiFi) thus forming a hybrid system. The hybrid LiFi/WiFi system faces many challenges including but not limited to seamless integration with the WiFi, support for mobility, handover management, resource sharing, and load balancing. The existing literature has addressed one or the other aspect of the issues facing LiFi systems. There are limited free source tools available to holistically address these challenges in a scalable manner. To this end, we have developed an open-source simulation framework based on the network simulator 3 (ns-3), which realizes critical aspects of the LiFi wireless network. Our developed ns-3 LiFi framework provides a fully functional AP equipped with the physical layer and medium access control (MAC), a mobility model for the user device, and integration between LiFi and WiFi with a handover facility. Simulation results are produced to demonstrate the mobility and handover capabilities, and the performance gains from the LiFi-WiFi hybrid system in terms of packet delay, throughput, packet drop ratio (PDR), and fairness between users. The source code of the framework is made available for the use of the research community.


2011 ◽  
Vol 60 (2) ◽  
pp. 819-824 ◽  
Author(s):  
Oliviero Barana ◽  
Cédric Boulbe ◽  
Sylvain Brémond ◽  
Simone Mannori ◽  
Philippe Moreau ◽  
...  

2021 ◽  
Author(s):  
Vasilis Daoulas ◽  
Nikolaos Tampouratzis ◽  
Panagiotis Mousouliotis ◽  
Ioannis Papaefstathiou

2010 ◽  
Vol 51 (3) ◽  
pp. 138-145 ◽  
Author(s):  
Masakazu YAMAMOTO ◽  
Mitsutaka ISHIZUKI ◽  
Toshiyuki AOKI

2019 ◽  
Vol 4 ◽  
Author(s):  
Benedikt Kleinmeier ◽  
Benedikt Zönnchen ◽  
Marion Gödel ◽  
Gerta Köster

Pedestrian dynamics is an interdisciplinary field of research. Psychologists, sociologists, traffic engineers, physicists, mathematicians and computer scientists all strive to understand the dynamics of a moving crowd. In principle, computer simulations offer means to further this understanding. Yet, unlike for many classic dynamical systems in physics, there is no universally accepted locomotion model for crowd dynamics. On the contrary, a multitude of approaches, with very different characteristics, compete. Often only the experts in one special model type are able to assess the consequences these characteristics have on a simulation study. Therefore, scientists from all disciplines who wish to use simulations to analyze pedestrian dynamics need a tool to compare competing approaches. Developers, too, would profit from an easy way to get insight into an alternative modeling ansatz. Vadere meets this interdisciplinary demand by offering an open-source simulation framework that is lightweight in its approach and in its user interface while offering pre-implemented versions of the most widely spread models.


2019 ◽  
Author(s):  
Noam Benelli ◽  
Roi Gurka ◽  
Yiftach Golov ◽  
Ally Harari ◽  
Gregory Zilman ◽  
...  

AbstractOlfactory navigation in insects, for instance when males search for mates, is a navigational problem of a self-propelled agent with limited sensor capabilities in a scalar field (odor) convected and diffused by turbulent wind. There are numerous navigation strategies proposed to explain the navigation paths of insects to food (flowers) or mating partners (females). In a search for a mate, the males use airborne pheromone puffs in turbulent environments around trees and vegetation. It is difficult to compare the various strategies because of a lack of a single simulation framework that can change a single parameter in time and test all the strategies against a controlled environment. This work aims at closing this gap, suggesting an open source, freely accessible simulation framework, abbreviated MothPy. We implement the simulation framework using another open source package (“pompy”) that recreates a state-of-the-art puff-based odor plume model of Farrell et al. [1]. We add four different navigation strategies to the simulation framework based on and extending the previously published models [2, 3], and compare their performance with different wind and odor spread parameters. We test a sensitivity analysis of the navigation strategies to the plume meandering and to increased turbulence levels that are effectively expressed as the elevated puff spread rates. The simulations are compared statistically and provide an interesting view on the robustness and effectiveness of various strategies. This benchmarking-ready simulation framework could be useful for the biology-oriented, as well as engineering-oriented studies, assisting to deduce the evolutionary efficient strategies and improving self-propelled autonomous systems in complex environments.


2019 ◽  
Vol 35 (18) ◽  
pp. 3496-3498 ◽  
Author(s):  
Soumya Kundu ◽  
Mukul S Bansal

Abstract Summary SaGePhy is a software package for improved phylogenetic simulation of gene and subgene evolution. SaGePhy can be used to generate species trees, gene trees and subgene or (protein) domain trees using a probabilistic birth–death process that allows for gene and subgene duplication, horizontal gene and subgene transfer and gene and subgene loss. SaGePhy implements a range of important features not found in other phylogenetic simulation frameworks/software. These include (i) simulation of subgene or domain level evolution inside one or more gene trees, (ii) simultaneous simulation of both additive and replacing horizontal gene/subgene transfers and (iii) probabilistic sampling of species tree and gene tree nodes, respectively, for gene- and domain-family birth. SaGePhy is open-source, platform independent and written in Java and Python. Availability and implementation Executables, source code (open-source under the revised BSD license) and a detailed manual are freely available from http://compbio.engr.uconn.edu/software/sagephy/. Supplementary information Supplementary data are available at Bioinformatics online.


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