Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34104
Title: Stochastic cell transmission model for traffic network with demand and supply uncertainties
Authors: Zhong, RX
Sumalee, A
Pan, TL
Lam, WHK 
Keywords: Probabilistic distribution
Queue length
Signal delay
Spillback
Stochastic cell transmission model
Traffic density
Issue Date: 2013
Publisher: Taylor & Francis
Source: Transportmetrica. A, Transport science, 2013, v. 9, no. 7, p. 567-602 How to cite?
Journal: Transportmetrica. A, Transport science 
Abstract: This article extends the stochastic cell transmission model (SCTM) to simulate traffic flows on networks with stochastic demand and supply. The SCTM divides a roadway segment into cells and accepts the means and variances of stochastic travel demand and supply functions as exogenous inputs, and produces the corresponding cell traffic densities over time. This article defines the rules of flow propagation for freeway corridors, traffic merges/diverges and signalised junctions based on a kind of link-node model. In the numerical studies, we simulate the proposed model with a hypothetical network. We apply the SCTM to estimate the queues and delays at signalised intersections. Compared with some well-known delay and queue estimation formulas, e.g. Webster, Beckmann, McNeil and Akcelik, the results show good consistency between the SCTM and these formulas. In addition, the SCTM describes the temporal behaviour of the queue and delay distributions at signalised junctions with stochastic supply functions and (non-stationary) arrivals.
URI: http://hdl.handle.net/10397/34104
ISSN: 2324-9935
EISSN: 2324-9943
DOI: 10.1080/18128602.2011.634556
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