Editorial
Special Issue on Advanced network traffic management: From dynamic state estimation to traffic control

https://doi.org/10.1016/j.trc.2016.03.005Get rights and content

Section snippets

Traffic demand and state estimation

Antoniou et al. present the development of a flexible platform for the benchmarking of origin–destination estimation algorithms, in a way that they can be objectively compared under “standardized” conditions.

Dell’Orco et al. employ a quasi-anisotropic traffic flow model to reconstruct travel time in a road network, resulting from a dynamic network modeling process, where the solution of the dynamic assignment problem is sought employing an innovative meta-heuristic method.

Incorporating the

Traffic prediction

Nantes et al. develop a new model-based methodology to build up a real-time traffic prediction model for arterial corridors using data from multiple sources, particularly from loop detectors and partial observations from Bluetooth and GPS devices.

Habtemichael and Cetin present a non-parametric, data-driven approach for short-term traffic forecasting, which is based on pattern matching. The authors demonstrate the robustness of the approach with multiple applications and a comparison with

Traffic management and control

Christofa et al. present an arterial-level person-based traffic responsive signal control approach in which the sought optimization explicitly considers passenger occupancy to provide priority to transit vehicles by minimizing person delay simultaneously at two consecutive intersections.

Di Gangi et al. present an approach for network traffic control in which traffic flow is simulated by a mesoscopic spatial queuing model; and optimization of both single intersection signals and network-wide

References (0)

Cited by (4)

  • Special Issue on Advances in Modeling, Simulation and Optimization of Dynamic Network Traffic

    2018, Transportation Research Part C: Emerging Technologies
    Citation Excerpt :

    The increasing computing capabilities and data availability have advanced the modeling, simulation, and optimization of complex systems such as dynamic transportation networks. This gives rise not only to the incorporation of various existing and emerging theories and methods into network problems (Antoniou et al., 2016), but also to the robust simulation of cooperative and interactive user-network behavior for real-time solutions (Celikoglu and Sanchez-Medina, 2018). Having been originated within the activities of the 19th EURO Working Group on Transportation (EWGT2016) Meeting held at the Technical University of Istanbul, Turkey the present Special Issue on ‘Advances in Modeling, Simulation and Optimization of Dynamic Network Traffic’ provides a synthesis of high-quality papers with novel contributions and breaking results on theoretical and applied studies in network traffic simulation and optimization given the needs for the need for the efficient modeling, simulation and optimization of dynamic network traffic with reasonable computation load in today’s context.

  • Enhanced Scheduling for Real-Time Traffic Control

    2018, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
View full text