Abstract:
This paper presents two real time non-linear programming models according
to two special oversaturation conditions to minimize the aggregate delay time
of vehicles and the number of vehicles at each lane by minimizing the total
number of vehicles at the signalized intersection. 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
at the lanes of intersection. The initial number of vehicles at each lane at the
intersection is counted by a camera which is the most accurate method. The
modelsare developed to minimize the number of vehicles from cycle to
cycle. These proposed models include inter green signal time which is one of
the key factors compared to other existing models proposed in the past
research. These models also incorporate restrictions for upper bound for
green signal time allocation which leads to accurate and appropriate
allocation for green signal time. The lower bound of green signal time is
attained by oversaturation conditions of the models. The proposed models are
solved by the interior point algorithm method coded in MATLAB
environment.
