A network traffic flow model for motorway and urban highways

Chao Yang, Rasa Remenyte-Prescott and John Andrews
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Chao Yang: Nottingham Transportation Engineering Centre, University of Nottingham, Nottingham, UK
Rasa Remenyte-Prescott: Nottingham Transportation Engineering Centre, University of Nottingham, Nottingham, UK
John Andrews: Nottingham Transportation Engineering Centre, University of Nottingham, Nottingham, UK

Journal of the Operational Research Society, 2014, vol. 65, issue 8, 1278-1291

Abstract: The research reported in this paper develops a network-level traffic flow model (NTFM) that is applicable for both motorways and urban roads. It forecasts the traffic flow rates, queue propagation at the junctions and travel delays through the network. NTFM uses sub-models associated with all road and junction types that comprise the highway. The flow at any one part of the network is obviously very dependent on the flows at all other parts of the network. To predict the two-way traffic flow in NTFM, an iterative simulation method is executed to generate the evolution of dependent traffic flows and queues. To demonstrate the capability of the model, it is applied to a small case study network and a local Loughborough–Nottingham highway network. The results indicate that NTFM is capable of identifying the relationship between traffic flows and capturing traffic phenomena such as queue dynamics. By introducing a reduced flow rate on links of the network, the effects of strategies used to carry out roadworks can be mimicked.

Date: 2014
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