Abstract
Modern intelligent transportation requires real-time travel time of dynamic traffic network. Because the traditional model is too complex, it is difficult to provide real-time travel time. A kind of dynamic traffic network analysis model to calculate real-time is given in this paper. The travel time for reference can be computed. Firstly, in the model LWR is used to construct the continuity equation of initial value - boundary condition, then high order Runge-Kutta method is used to calculate of flow, density and speed on the section, for the further travel time required by the vehicle’s distance is computed, the total travel time can be obtained by the sum each travel time. Finally, the proposed dynamic traffic network model were simulated for a small network of freeway traffic flows. Simulation results show that the model developed in this paper can accelerate solve the travel time of dynamic network traffic flow.
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Jingbo, W., Li, Q., Jingtao, W. (2012). Study of Dynamic Traffic Flow Network Model Based on LWR Model. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_77
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DOI: https://doi.org/10.1007/978-3-642-34038-3_77
Publisher Name: Springer, Berlin, Heidelberg
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