Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/ant/LengC20
%A Leng, Nuannuan
%A Corman, Francesco
%B ANT/EDI40
%D 2020
%E Shakshuki, Elhadi M.
%E Yasar, Ansar-Ul-Haque
%I Elsevier
%K dblp
%P 382-389
%T How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach.
%U http://dblp.uni-trier.de/db/conf/ant/ant2020.html#LengC20
%V 170
@inproceedings{conf/ant/LengC20,
added-at = {2024-05-07T00:00:00.000+0200},
author = {Leng, Nuannuan and Corman, Francesco},
biburl = {https://www.bibsonomy.org/bibtex/22c2f186d1e426dda3f3802a0092975ac/dblp},
booktitle = {ANT/EDI40},
crossref = {conf/ant/2020},
editor = {Shakshuki, Elhadi M. and Yasar, Ansar-Ul-Haque},
ee = {https://doi.org/10.1016/j.procs.2020.03.068},
interhash = {91da29c519b2a95493c792094d6290fc},
intrahash = {2c2f186d1e426dda3f3802a0092975ac},
keywords = {dblp},
pages = {382-389},
publisher = {Elsevier},
series = {Procedia Computer Science},
timestamp = {2024-05-13T09:25:34.000+0200},
title = {How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach.},
url = {http://dblp.uni-trier.de/db/conf/ant/ant2020.html#LengC20},
volume = 170,
year = 2020
}