Parameters Influencing Lane Flow Distribution on Multilane Freeways in PTV Vissim

Autor:	Peter Vortisch, Marvin V. Baumann, H. Sebastian Buck, Claude Marie Weyland
Rok vydání:	2021
Předmět:	Computer science Flow distribution Traffic flow Car following Standard deviation VisSim ddc:690 Flow (mathematics) Control theory Headway General Earth and Planetary Sciences Buildings computer Reduction factor General Environmental Science computer.programming_language
Zdroj:	ANT/EDI40 Procedia computer science, 184, 453–460
ISSN:	1877-0509
Popis:	In a parameter study, we systematically varied parameter values, and quantified the resulting traffic flow in each individual lane. We modeled two-, three-, and four-lane freeway sections with the microscopic traffic flow simulation tool PTV Vissim. We compared the results with findings from literature. Simulations using car following model Wiedemann 99 fit better to empirical studies than those using Wiedemann 74. Empirically determinable parameters, that have a relevant influence on lane flow distribution are desired speed distributions (mean for heavy-duty vehicles and standard deviation for cars), heavy-duty vehicle share, and the gradient of the section. Additionally, the driving behavior parameters CC1 (headway time), CC3 (threshold for entering following), and safety distance reduction factor have an influence. As CC1 is one of the most relevant parameters for calibrating capacity, CC3 and the safety distance reduction factor remain for lane flow adjustment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f42ce2ca909fe523b5e2c13b9543213 https://doi.org/10.1016/j.procs.2021.03.057 Zobrazit plný text záznamu