Mathematical Program with Complementarity Constraints (MPCC) finds many applications in fields such as engineering design, economic equilibrium and mathematical programming theory itself. A queueing system model resulting from a single signalized intersection regulated by pre-timed control in traffic network is considered. The model is formulated as an MPCC problem. A MATLAB implementation based on an hyperbolic penalty function is used to solve this practical problem, computing the total average waiting time of the vehicles in all queues and the green split allocation. The problem was codified in AMPL
Traffic lights can be controlled dynamically through rules reacting on the number of waiting vehicle...
Adequate traffic signal control strategies are essential to achieve a significant reduction of traff...
Abstract: We propose a novel dynamical model of a simple traffic intersection, where the state varia...
Mathematical Program with Complementarity Constraints (MPCC) finds many applications in fields such ...
Mathematical Programs with Complementarity Constraints (MPCC) finds many applications in areas such ...
AbstractThe aim of this paper is to find the optimal green split allocation for a queuing system. Th...
The main goal of this work is to solve Mathematical Program with Complementarity Constraints (MPCC) ...
In this paper, we discuss simulation results for the traffic signal control problem. Our algorithms ...
AbstractThe paper describes the methods of queuing theory to solve the problem of optimizing traffic...
Urban traffc congestion is on the increase worldwide; therefore, it is critical to maximize the capa...
This thesis concerns Bilevel Nonlinear Programming (BNP) and its application to the Network Design P...
Traffic models play an important role in both today's traffic research and in many traffic applicati...
Traffic lights are put in place to dynamically change priority between traffic participants. Commonl...
Accurate measurements of signal control parameters at signalized intersections are very important fo...
Traffic models play an important role in both today's traffic research and in many traffic applicati...
Traffic lights can be controlled dynamically through rules reacting on the number of waiting vehicle...
Adequate traffic signal control strategies are essential to achieve a significant reduction of traff...
Abstract: We propose a novel dynamical model of a simple traffic intersection, where the state varia...
Mathematical Program with Complementarity Constraints (MPCC) finds many applications in fields such ...
Mathematical Programs with Complementarity Constraints (MPCC) finds many applications in areas such ...
AbstractThe aim of this paper is to find the optimal green split allocation for a queuing system. Th...
The main goal of this work is to solve Mathematical Program with Complementarity Constraints (MPCC) ...
In this paper, we discuss simulation results for the traffic signal control problem. Our algorithms ...
AbstractThe paper describes the methods of queuing theory to solve the problem of optimizing traffic...
Urban traffc congestion is on the increase worldwide; therefore, it is critical to maximize the capa...
This thesis concerns Bilevel Nonlinear Programming (BNP) and its application to the Network Design P...
Traffic models play an important role in both today's traffic research and in many traffic applicati...
Traffic lights are put in place to dynamically change priority between traffic participants. Commonl...
Accurate measurements of signal control parameters at signalized intersections are very important fo...
Traffic models play an important role in both today's traffic research and in many traffic applicati...
Traffic lights can be controlled dynamically through rules reacting on the number of waiting vehicle...
Adequate traffic signal control strategies are essential to achieve a significant reduction of traff...
Abstract: We propose a novel dynamical model of a simple traffic intersection, where the state varia...