Estimating critical gap is crucial for modelling pedestrian level of service at crossings. Critical gap modelling becomes more challenging in signalized crossings because the proportion of pedestrians seeking gaps during red is usually unknown. Besides, the willingness – or lack of it – to cross during red signal indication varies by pedestrian and local characteristics, which makes gap acceptance modelling even more challenging. The main objective of this study is to propose a method for estimating pedestrian critical gap at signalized crossings using Vissim. The method considers that all pedestrians seek for gaps on red, and the critical gap parameter is calibrated for each pedestrian type having delay as calibration target. The results showed MAPE values of 2% and 9% for the two studied crossings. This method was compared to three existing methods of critical gap estimation. The results showed that the proposed method yielded the best estimations of delay, followed by the HCM’s.
Com o aumento da atenção ao transporte não-motorizado, a modelagem do tráfego de pedestres em travessias urbanas tem sido tema crescente na literatura. Uma das principais medidas de desempenho utilizadas para avaliar o desempenho operacional de travessias é o atraso, que é definido como o tempo de espera dos pedestres para iniciar a travessia. Duas das principais ferramentas de modelagem para estimar o atraso médio dos pedestres são o Highway Capacity Manual - HCM e software de simulação, como o VISSIM. O objetivo principal deste trabalho é comparar essas duas ferramentas para estimação do atraso médio de pedestres em travessias semaforizadas. Para isto, foram analisadas duas travessias de uma interseção localizada na cidade de Fortaleza. Concluiu-se que, quanto maior for a quantidade de brechas aceitas pelos pedestres durante o vermelho, mais realista será a modelagem realizada com o VISSIM em comparação com a proposta pelo HCM, já que a modelagem proposta para o simulador considera este tipo de comportamento dos pedestres.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.