A Quantitative Model of the Urban Rail Congestion Propagation under Oversaturated Conditions

Ziling Zeng, Taixun Li. A Quantitative Model of the Urban Rail Congestion Propagation under Oversaturated Conditions. In Guojun Wang, Qi Han, Md. Zakirul Alam Bhuiyan, Xiaoxing Ma, Frédéric Loulergue, Peng Li 0017, Manuel Roveri, Lei Chen 0029, editors, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018, Guangzhou, China, October 8-12, 2018. pages 2097-2102, IEEE, 2018. [doi]

@inproceedings{ZengL18-4,
  title = {A Quantitative Model of the Urban Rail Congestion Propagation under Oversaturated Conditions},
  author = {Ziling Zeng and Taixun Li},
  year = {2018},
  doi = {10.1109/SmartWorld.2018.00351},
  url = {https://doi.org/10.1109/SmartWorld.2018.00351},
  researchr = {https://researchr.org/publication/ZengL18-4},
  cites = {0},
  citedby = {0},
  pages = {2097-2102},
  booktitle = {2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018, Guangzhou, China, October 8-12, 2018},
  editor = {Guojun Wang and Qi Han and Md. Zakirul Alam Bhuiyan and Xiaoxing Ma and Frédéric Loulergue and Peng Li 0017 and Manuel Roveri and Lei Chen 0029},
  publisher = {IEEE},
  isbn = {978-1-5386-9380-3},
}