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10.1016/j.trc.2020.102931 http://scihub22266oqcxt.onion/10.1016/j.trc.2020.102931 33519129!7834413!33519129     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33519129&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Transp+Res+Part+C+Emerg+Technol 2021 ; 124 (?): 102931 Nephropedia Template TP {{tp|p=33519129|t=2021. Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic |pdf=|usr=}}{{33519129}} gab.com Text Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic JO: Transp Res Part C Emerg Technol http://www.kidney.de/pget.php?&tw=1&pmid=33519129 #FOAvip The corona pandemic significantly changes the processes of aircraft and passenger handling at the airport. In our contribution, we focus on the time-critical process of aircraft boarding, where regulations regarding physical distances between passengers will significantly increase boarding time. The passenger behavior is implemented in a field-validated stochastic cellular automata model, which is extended by a module to evaluate the transmission risk. We propose an improved boarding process by considering that most of the passengers are travel together and should be boarded and seated as a group. The NP-hard seat allocation of groups with minimized individual interactions between groups is solved with a genetic algorithm. Then, the improved seat allocation is used to derive an associated boarding sequence aiming at both short boarding times and low risk of virus transmission. Our results show that the consideration of groups will significantly contribute to a faster boarding (reduction of time by about 60%) and less transmission risk (reduced by 85%) compared to the standard random boarding procedures applied in the pandemic scenario. Twit Text FOAVip Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic ????Transp Res Part C Emerg Technol http://www.kidney.de/pget.php?&tw=1&pmid=33519129 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33519129 #FOAvip English Wikipedia <ref>{{Cite pmid|33519129}}</ref> Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic #MMPMID33519129 Schultz M; Soolaki M Transp Res Part C Emerg Technol 2021[Mar]; 124 (?): 102931 PMID33519129show ga The corona pandemic significantly changes the processes of aircraft and passenger handling at the airport. In our contribution, we focus on the time-critical process of aircraft boarding, where regulations regarding physical distances between passengers will significantly increase boarding time. The passenger behavior is implemented in a field-validated stochastic cellular automata model, which is extended by a module to evaluate the transmission risk. We propose an improved boarding process by considering that most of the passengers are travel together and should be boarded and seated as a group. The NP-hard seat allocation of groups with minimized individual interactions between groups is solved with a genetic algorithm. Then, the improved seat allocation is used to derive an associated boarding sequence aiming at both short boarding times and low risk of virus transmission. Our results show that the consideration of groups will significantly contribute to a faster boarding (reduction of time by about 60%) and less transmission risk (reduced by 85%) compared to the standard random boarding procedures applied in the pandemic scenario. ?Analytical approach to solve the problem of aircraft passenger boardin(epmc).pdf DeepDyve Pubget Overpricing