How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach

Nuannuan Leng, Francesco Corman. How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40 2020) / Affiliated Workshops, April 6-9, 2020, Warsaw, Poland. Volume 170 of Procedia Computer Science, pages 382-389, Elsevier, 2020. [doi]

@inproceedings{LengC20,
  title = {How the issue time of information affects passengers in public transport disruptions: an agent-based simulation approach},
  author = {Nuannuan Leng and Francesco Corman},
  year = {2020},
  doi = {10.1016/j.procs.2020.03.068},
  url = {https://doi.org/10.1016/j.procs.2020.03.068},
  researchr = {https://researchr.org/publication/LengC20},
  cites = {0},
  citedby = {0},
  pages = {382-389},
  booktitle = {The 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40 2020) / Affiliated Workshops, April 6-9, 2020, Warsaw, Poland},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {170},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}