Report on “Managing start waves for mass running events”
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Relatório |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/25349 |
Resumo: | Executive summary Lap2go is a Portuguese timekeeping for several types of sport events. The challenge posed by this company is how to better manage the starting waves for mass running events in order to avoid congestions, taking into account each participant natural running pace, the total number of participants and, if possible, the topography and width of the road. As a case study the group has received the time each participant has crossed the starting line, the 5 Kilometre mark and the finishing line for a 10 Kilometre race, with more than 8000 participants in total, for which three starting waves have been set by the organization. First, we performed an analysis on the provided dataset, trying to evaluate the procedure used by Lap2Go to decide the waves formation and their releasing times, and afterwards we approached this problem in two ways: (i) developing an optimization model to set each wave starting time and (ii) constructing a mathematical particle model of the behaviour of runners, describing the change in each runners position along the time. The model takes into account the impact of runners density as of topography on the speed of each runner. We show the results of some simulations for both those mathematical models, considering the race data provided by Lap2Go. Moreover, we also present simulation results for other possible wave configurations with respect to the second model. The model for simulating race conditions on arbitrary tracks can help organizers to decide the best way to distribute runners into waves and when to release each wave. |
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Report on “Managing start waves for mass running events”waves formationcongestionsExecutive summary Lap2go is a Portuguese timekeeping for several types of sport events. The challenge posed by this company is how to better manage the starting waves for mass running events in order to avoid congestions, taking into account each participant natural running pace, the total number of participants and, if possible, the topography and width of the road. As a case study the group has received the time each participant has crossed the starting line, the 5 Kilometre mark and the finishing line for a 10 Kilometre race, with more than 8000 participants in total, for which three starting waves have been set by the organization. First, we performed an analysis on the provided dataset, trying to evaluate the procedure used by Lap2Go to decide the waves formation and their releasing times, and afterwards we approached this problem in two ways: (i) developing an optimization model to set each wave starting time and (ii) constructing a mathematical particle model of the behaviour of runners, describing the change in each runners position along the time. The model takes into account the impact of runners density as of topography on the speed of each runner. We show the results of some simulations for both those mathematical models, considering the race data provided by Lap2Go. Moreover, we also present simulation results for other possible wave configurations with respect to the second model. The model for simulating race conditions on arbitrary tracks can help organizers to decide the best way to distribute runners into waves and when to release each wave.Portuguese Study Groups Reports2019-03-01T15:11:08Z2019-03-012018-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reporthttp://hdl.handle.net/10174/25349http://hdl.handle.net/10174/25349engPortuguese Study Groups’ Reports Report on “Managing start waves for mass running events” Problem presented by Lap2Go at the 140th European Study Group with Industry 4th – 8th June 2018 Barreiro School of Technology Polytechnic Institute of Setu´bal Barreiro, Portugal Portuguese Study Groups Reports August 1, 2018 Paula Amaral, Sílvia Barbeiro, Raquel Barreira, Luís Cavique, Joaquim Correia, Manuel Cruz, Ricardo Enguiça, Nuno Lopes, Michael McPhail, Jorge Santos, Paula Simões, Florian Wechsung.1paca@fct.unlp.ptsilvia@mat.uc.ptraquel.barreira@estbarreiro.ips.ptluis.cavique@uab.ptjmcorreia@uevora.ptmbc@isep.ipp.ptrroque@adm.isel.ptnlopes@adm.isel.ptmcphail@maths.ox.ac.ukjmas@uevora.ptpaulasimoes@adm.isel.ptwechsung@maths.ox.ac.uk338Amaral, PaulaSílvia, BarbeiroRaquel, BarreiraLuís, CaviqueJoaquim, CorreiaManuel, CruzRicardo, EnguiçaNuno, LopesMichael, McPhailJorge, SantosPaula, SimõesFlorian, Wechsunginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:19:03Zoai:dspace.uevora.pt:10174/25349Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:15:48.435088Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Report on “Managing start waves for mass running events” |
title |
Report on “Managing start waves for mass running events” |
spellingShingle |
Report on “Managing start waves for mass running events” Amaral, Paula waves formation congestions |
title_short |
Report on “Managing start waves for mass running events” |
title_full |
Report on “Managing start waves for mass running events” |
title_fullStr |
Report on “Managing start waves for mass running events” |
title_full_unstemmed |
Report on “Managing start waves for mass running events” |
title_sort |
Report on “Managing start waves for mass running events” |
author |
Amaral, Paula |
author_facet |
Amaral, Paula Sílvia, Barbeiro Raquel, Barreira Luís, Cavique Joaquim, Correia Manuel, Cruz Ricardo, Enguiça Nuno, Lopes Michael, McPhail Jorge, Santos Paula, Simões Florian, Wechsung |
author_role |
author |
author2 |
Sílvia, Barbeiro Raquel, Barreira Luís, Cavique Joaquim, Correia Manuel, Cruz Ricardo, Enguiça Nuno, Lopes Michael, McPhail Jorge, Santos Paula, Simões Florian, Wechsung |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Amaral, Paula Sílvia, Barbeiro Raquel, Barreira Luís, Cavique Joaquim, Correia Manuel, Cruz Ricardo, Enguiça Nuno, Lopes Michael, McPhail Jorge, Santos Paula, Simões Florian, Wechsung |
dc.subject.por.fl_str_mv |
waves formation congestions |
topic |
waves formation congestions |
description |
Executive summary Lap2go is a Portuguese timekeeping for several types of sport events. The challenge posed by this company is how to better manage the starting waves for mass running events in order to avoid congestions, taking into account each participant natural running pace, the total number of participants and, if possible, the topography and width of the road. As a case study the group has received the time each participant has crossed the starting line, the 5 Kilometre mark and the finishing line for a 10 Kilometre race, with more than 8000 participants in total, for which three starting waves have been set by the organization. First, we performed an analysis on the provided dataset, trying to evaluate the procedure used by Lap2Go to decide the waves formation and their releasing times, and afterwards we approached this problem in two ways: (i) developing an optimization model to set each wave starting time and (ii) constructing a mathematical particle model of the behaviour of runners, describing the change in each runners position along the time. The model takes into account the impact of runners density as of topography on the speed of each runner. We show the results of some simulations for both those mathematical models, considering the race data provided by Lap2Go. Moreover, we also present simulation results for other possible wave configurations with respect to the second model. The model for simulating race conditions on arbitrary tracks can help organizers to decide the best way to distribute runners into waves and when to release each wave. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-08-01T00:00:00Z 2019-03-01T15:11:08Z 2019-03-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/report |
format |
report |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/25349 http://hdl.handle.net/10174/25349 |
url |
http://hdl.handle.net/10174/25349 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Portuguese Study Groups’ Reports Report on “Managing start waves for mass running events” Problem presented by Lap2Go at the 140th European Study Group with Industry 4th – 8th June 2018 Barreiro School of Technology Polytechnic Institute of Setu´bal Barreiro, Portugal Portuguese Study Groups Reports August 1, 2018 Paula Amaral, Sílvia Barbeiro, Raquel Barreira, Luís Cavique, Joaquim Correia, Manuel Cruz, Ricardo Enguiça, Nuno Lopes, Michael McPhail, Jorge Santos, Paula Simões, Florian Wechsung. 1 paca@fct.unlp.pt silvia@mat.uc.pt raquel.barreira@estbarreiro.ips.pt luis.cavique@uab.pt jmcorreia@uevora.pt mbc@isep.ipp.pt rroque@adm.isel.pt nlopes@adm.isel.pt mcphail@maths.ox.ac.uk jmas@uevora.pt paulasimoes@adm.isel.pt wechsung@maths.ox.ac.uk 338 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.publisher.none.fl_str_mv |
Portuguese Study Groups Reports |
publisher.none.fl_str_mv |
Portuguese Study Groups Reports |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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