The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

With rapid population growth, there is an urgent need for intelligent traffic control techniques
in urban transportation networks to improve network performance. In an urban transportation …

The traffic light cycle optimization problem (TLCOP) is certainly one of the most critical
problems in a modern traffic management system because a “good solution” will be able to …

In this paper, a graphics simulator that allows for characterizing the kinematic and dynamic
behavior of redundant planar manipulator robots is presented. This graphics simulator is …

A bi-level model for traffic signal optimization is developed. The model predictive framework
is applied for traffic control in an urban traffic network. The potential of the bi-level …

Traffic congestion has several causes, including insufficient road capacity, unrestricted
demand and improper scheduling of traffic signal phases. A great variety of efforts have …

A bi-level modeling for traffic lights optimization is presented in the paper. The bi-level
modeling allows increasing the set of control influences, the number of constraints and …

It is obvious that the traffic light plans of two intersections interact with each other, and the
key problem for the system adjacent intersections is how to calculate of the arrival rates of …

In the traffic networks, the traffic plans for one intersection are coordinated with those of the
adjacent intersections. At the same time, it should be considered that inflow vehicles do not …

A co-evolutionary traffic signal control using reinforcement learning approach (CORLA) is
proposed for time-varying road networks under stochastic capacity. Classic reinforcement …