Abstract:
This paper presents two real time nonlinear quadratic programming models according to two special oversaturation
conditions to minimize the aggregate delay time of vehicles at each intersection by minimizing the total number of
vehicles at each intersection at the signalized two intersections arterial. This can be extended to more than two
intersections arterial network by expanding the groups which are explained in this paper. These models are developed
under time varying incoming flow rates of vehicles. The most important factor of traffic signal control is the number of
vehicles in a queue on the lanes of intersections. The initial number of vehicles on each lane at the intersections is
counted by a camera which is the most exact method among other existing methods. These models are developed to
minimize the number of waiting vehicles from cycle to cycle. These proposed models include inter green signal time
this is one of the main aspect compared to other existing models proposed in the former research. These models also
include restriction for upper bound for cycle time allocation which leads to exact and appropriate allocation for green
signal time. Non- negative queue lengths on lanes are maintained under special conditions for oversaturation case. The
lower bound of green signal time is attained by oversaturation conditions of the models. These proposed models are
solved by the interior point algorithm method coded in MATLAB environment.
