Our work on combined traffic control and route choice optimization for traffic networks with disruptive changes appears on Transportmetrica B: Transport Dynamics. Follow this link for a free download from the publisher site.

  • X. Xie and Z. Wang, “Combined traffic control and route choice optimization for traffic networks with disruptive changes,” Transportmetrica B: Transport Dynamics, vol. In Press, 2018. [DOI] [Bibtex]
    @Article{Xie2018RCTC2,
    Title = {Combined traffic control and route choice optimization for traffic networks with disruptive changes},
    Author = {Xiao-Feng Xie and Zun-Jing Wang},
    Journal = {Transportmetrica B: Transport Dynamics},
    Volume = {In Press},
    Pages = {},
    LNK = {https://www.tandfonline.com/eprint/pv7avbipbGtcJkwsnIi8/full},
    Year = {2018}
    }

We present a combined traffic control and route choice optimization (CTCRCO) system to quickly find new traffic equilibrium solutions in urban road networks with significant changes. The system iteratively executes a control module which combines a traffic control system (TCS) and a traffic simulation manager (TSM) and an assignment module which combines a route set manager (RSM) and a route choice system (RCS), thus can optimize both traffic flows and route choices for minimizing average travel time of vehicles. We evaluate CTCRCO by testing various traffic scenarios in real-world road networks with significant changes. The results show that TCS and RCS are both significant for achieving a quick and low-cost convergence to an approximate equilibrium in a road network with significant changes. Approximate simulations not only accelerate convergence processes for non-congested cases, but also bypass potential gridlock states for over-congestion cases. The role of different path-finding procedures is also examined.

Work on combined traffic control and route choice optimization appears on Transportmetrica B
Work on combined traffic control and route choice optimization appears on Transportmetrica B