@article {IOPORT.06001366,
    author       = {Jiang, Yangsheng and Hu, Lu and Pu, Yun},
    title        = {Markov chain queuing model for signalized intersections with stochastic vehicle arrivals.},
    year         = {2010},
    journal      = {Journal of Southwest Jiaotong University},
    volume       = {45},
    number       = {4},
    issn         = {0258-2724},
    pages        = {621-626},
    publisher    = {Editorial Department of Journal of Southwest Jiaotong University, Chengdu},
    doi          = {10.3969/j.issn.0258-2724.2010.04.023},
    abstract     = {Summary: In order to overcome the limitation of the existing models for intersection queueing analysis in which vehicle arrivals are assumed to obey a particular distribution law, a general queueing model for signalized intersections with fixed cycle and stochastic vehicle arrivals is established using the embedded Markov chain technology. The model program and the simulation program for model verification are written using {\tt LINGO} software embedded in the Excel environment. The numerical results of a case study show that the average queue length calculated by the Markov chain queueing model is very close to the actual survey result, and has an error of 0.14\% compared with the stochastic simulation result; the queue lengths obtained by the model are identical to the actual survey and stochastic simulation results at the percentiles ranging from 50\% to 65\%, and have a maximum relative error of 3.85\% at other percentiles.},
    identifier   = {06001366},
}