Smart use of real-time information provided by intelligent transport systems can ease urban congestion. While sensing and communication technologies appear to be mature, there remain fundamental mathematical challenges in designing a low-cost distributed system. This project will develop a mathematical framework for designing and analysing a distributed mechanism that predicts and wirelessly disseminates urban road traffic congestion. Such a mechanism couples the communication, prediction and route selection policy to load-balance traffic in urban networks.
Relevant sample publications:
G. van de Weg, H. L. Vu, A. Hegyi and S. Hoogendoorn, “A hierarchical control framework for coordination of intersection signal timings in all traffic regimes,” IEEE Trans. on ITS (T-ITS), accepted April 2018.
T. Le, H. L. Vu, N. Walton, S. S. P. Hoogendoorn, P. Kovacs and R. N. Queija, “Utility optimization framework for a distributed traffic control of urban road networks,” Transportation Research Part B: Methodological (TR-B), 105():539-558, Nov. 2017.
T. Le, P. Kovacs, N. Walton, H. L. Vu, L. L. H. Andrew and S. S. P. Hoogendoorn, “Decentralized Signal Control for Urban Road Networks,” Transportation Research Part C: Emerging Technologies (TR-C), 58():431-450, Sept. 2015.
H. L. Vu, S. P. Hoogendoorn, E. Smits, M. Panda, H. Zurlinden, V. Vong and P. Lam, “The Integrated Network Management (INM) Framework,” in Proc. of the 23rd ITS World Congress, Melbourne, Australia, 10–14 Oct. 2016.