Abstract
Research on queue length model lacks the consideration for stochastic fluid. This paper makes equivalent queue length prediction models from two-fluid theory, considering that traffic flow is composed of road traffic and congested traffic. With the simulation in VISSIM, it proves the equivalent queue length prediction models in paper can quantitatively describe the existence of stochastic traffic fluid in road.
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Zeng, X., Zhan, J., Yang, L., Xiong, Q., Chen, Y. (2017). Research on the Queue Length Prediction Model with Consideration for Stochastic Fluid. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings. ITASC 2017. Smart Innovation, Systems and Technologies, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-3575-3_6
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DOI: https://doi.org/10.1007/978-981-10-3575-3_6
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