This paper reports a review of the extensions and application of the Cell Transmission
Model (CTM). Those extensions are models able to simulate complex urban traffic dynamics …

This paper proposes a multiobjective optimization method for signal control design at
intersections in urban traffic network. The cell transmission model is employed for …

Traffic congestion in urban network has been a serious problem for decades. In this paper, a
novel dynamic multi-objective optimization method for designing predictive controls of …

In the recent years, the automobile industry has improved a lot for modifying and adding
more advanced features to make more protective safe environment for the drive and the …

Network size can have a significant impact on the computational performance of traffic
simulation models. Due to this, methods to reduce network size can be valuable when …

Traffic demands at intersections vary across various periods of a day and from day to day.
Generally, fixed time traffic signals are designed considering the average traffic flows across …

Surrogate‐based traffic signal optimization (TSO) is a computationally efficient alternative to
simulation‐based TSO. By replacing the simulation‐based objective function, a surrogate …

Traffic engineers are looking with increasing attention to the use of Floating Car Data (FCD)
as a complement data source to stationary traffic monitoring technologies like loop detectors …

Dedicated lane (DL) for connected and autonomous vehicles (CAVs) is a potential solution
to manage mixed traffic flow of CAVs and human-driven vehicles (HVs) in the near future. In …

This work presents a methodology for measuring traffic quantities from crowd-sourced
trajectories for the purpose of estimating saturation flow rates. First, the observed trajectories …