brio, cli, decor, desc, glue, tibble,
vctrs

bench, brio, callr, cli, covr, decor, desc, ggplot2, glue,
knitr, lobstr, mockery, progress, rmarkdown, scales, Rcpp,
testthat, tibble, utils, vctrs, withr

c(person(given = "Jim",
family = "Hester",
role = "aut",
comment = c(ORCID = "0000-0002-2739-7082")),
person(given = "Romain",
family = "François",
role = c("aut", "cre"),
email = "romain@rstudio.com"),
person(given = "Benjamin",
family = "Kietzman",
role = "ctb"),
person(given = "RStudio",
role = c("cph", "fnd")))
Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>),
Romain François [aut, cre],
Benjamin Kietzman [ctb],
RStudio [cph, fnd]

Fast Implementation of Dijkstra Algorithm
Calculation of distances, shortest paths and isochrones on weighted graphs using several variants of Dijkstra algorithm.
Proposed algorithms are unidirectional Dijkstra (Dijkstra, E. W. (1959) <doi:10.1007/BF01386390>),
bidirectional Dijkstra (Goldberg, Andrew & Fonseca F. Werneck, Renato (2005) <https://pdfs.semanticscholar.org/0761/18dfbe1d5a220f6ac59b4de4ad07b50283ac.pdf>),
A* search (P. E. Hart, N. J. Nilsson et B. Raphael (1968) <doi:10.1109/TSSC.1968.300136>),
new bidirectional A* (Pijls & Post (2009) <http://repub.eur.nl/pub/16100/ei2009-10.pdf>).

Calculation of distances, shortest paths and isochrones on weighted graphs using several variants of Dijkstra algorithm.
Proposed algorithms are unidirectional Dijkstra (Dijkstra, E. W. (1959) <doi:10.1007/BF01386390>),
bidirectional Dijkstra (Goldberg, Andrew & Fonseca F. Werneck, Renato (2005) <https://pdfs.semanticscholar.org/0761/18dfbe1d5a220f6ac59b4de4ad07b50283ac.pdf>),
A* search (P. E. Hart, N. J. Nilsson et B. Raphael (1968) <doi:10.1109/TSSC.1968.300136>),
new bidirectional A* (Pijls & Post (2009) <http://repub.eur.nl/pub/16100/ei2009-10.pdf>),
Contraction hierarchies (R. Geisberger, P. Sanders, D. Schultes and D. Delling (2008) <doi:10.1007/978-3-540-68552-4_24>),
PHAST (D. Delling, A.Goldberg, A. Nowatzyk, R. Werneck (2011) <doi:10.1016/j.jpdc.2012.02.007>).
Rcpp (>= 1.0.1), RcppParallel, RcppProgress , data.table