Abstract
At traffic control centers there is a need to predict the traffic flow in road networks for a horizon of about 30 min or longer. At traffic control centers, there is a need to predict the traffic flow in road networks for a horizon of about 30 min or longer. The predictions are needed to detect troublesome traffic situations before they occur, primarily congestion, and to evaluate one or more control scenarios. The chapter summarizes the following: (1) an adaptive prediction algorithm for prediction of traffic flow at the boundary of the road network and (2) a method to compute coordinated–distributed prediction of traffic flow in a road network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bohlin T (1976) Four cases of identification of changing systems. In Mehra RK, Lainiotis DG (eds) System identification advances and case studies, vol 126 of Mathematics in Science and Engineering. Elsevier, Amsterdam, pp 441–518
Davarynejad M, Wang Y, Vrancken J, van den Berg J (2011) Multi-phase time series models for motorway flow forecasting. In: 14th international IEEE annual conference on intelligent transportation systems, October 2011
Hong WC, Pai PF, Yang SL, Theng R (2006) Highway traffic forecasting by support vector regression model with tabu search algorithms. In: IEEE International joint conference on neural networks, 2006 (IJCNN’06), pp 1617–1621
Klefstad R, Zhang Y, Lai M, Jayakrishnan R, Lavanya R (2005) A distributed, scalable, and synchronized framework for large-scale microscopic traffic simulation. In: IEEE Proceedings of intelligent transportation systems, 2005, pp 813–818, September 2005
Messer CJ (1993) Advanced freeway system ramp metering strategies for Texas. Research report, Texas Transportation Institute
Perumalla KS (2006) Parallel and distributed simulation: traditional techniques and recent advances. In: Proceedings of the 38th conference on Winter simulation (WSC’06), pp 84–95, December 2006
Robbins BA, Zavala VM (2011) Convergence analysis of a parallel newton scheme for dynamic power grid simulations. In: Proceedings of the first international workshop on High performance computing, networking and analytics for the power grid, HiPCNA-PG’11, pp 3–10, New York, NY, USA, 2011. ACM
Wang J, Ma Z-D, Hulbert GM (2003) A gluing algorithm for distributed simulation of multibody systems. In: Nonlinear dynamics, pp 159–188
Wang Y, van Schuppen JH, Vrancken J (2012) On-line distributed prediction of traffic flow in a large-scale traffic network. In: Proceedings of ITS World 2012
Wang Y, van Schuppen JH, Vrancken J (2013) Parallel traffic prediction with a nonlinear model. In: Proceedings ITS World Congress 2013, Tokyo
Yubin W, van Schuppen JH, Vrancken J (2014) Prediction of traffic flow at the boundary of a motorway network. IEEE Trans Intell Transp Syst 15:214–227
Wang Y, van Schuppen JH, Vrancken JLM (2011) Adaptive prediction of traffic flow into a motorway network. In: Proceedings of ITS World Congress 2011
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Wang, Y., van Schuppen, J.H., Vrancken, J.L.M. (2015). Prediction of Traffic Flow in a Road Network. In: van Schuppen, J., Villa, T. (eds) Coordination Control of Distributed Systems. Lecture Notes in Control and Information Sciences, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-319-10407-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-10407-2_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10406-5
Online ISBN: 978-3-319-10407-2
eBook Packages: EngineeringEngineering (R0)