In this paper we will discuss a traffic light controller based on a Fuzzy Inference System (FIS) that can control multiple traffic intersections. The controller can adjust adaptively the phase lengths and phase sequences to optimize the movement of vehicles that will move straight or that will turn right. TheFuzzy System consists of three main modules namely the Green Phase Module, the Red Phase Module and the Decision Module. This system will determine which path will get the green phase and how long the green phase is given. A simulator for the intersection group has been developed to test the performance of the controller. The proposed controller is compared with two other traffic light controllers namely preset-cycle times (PCT) and veh...
Vehicular travel is increasing throughout the world, particularly, in large urban areas. Since there...
Abstract—Traffic congestion is a critical issue which must be resolved. The concept of adaptive traf...
This thesis verifies the parameter optimization capability of fuzzy logic based algorithm on the rea...
Fuzzy controllers have been widely used in many consumer products and industrial applications with s...
This paper considers an automated static road traffic control system of an intersection for the purp...
Road intersections, bad roads, accidents, road construction works, emergencies, etc. are some of the...
Traffic congestion has been the major problem on most Nigeria roads. This is particularly due to the...
Dynamic signal control is a complex phenomenon that includes both increasing intersection capacity a...
Traffic signals play an important role in controlling and coordinating the traffic movement in citie...
Traffic flow systems are nonlinear and uncertain, so it is very difficult to find their optimal poin...
The aim of this thesis is to simulate the fuzzy intelligent traffic for the optimal controlling of t...
Traffic jam has become a common scene nowadays, due to the rapid increase of road users in the past ...
This paper presents a Sugeno-type fuzzy traffic controller for controlling isolated traffic intersec...
Traffic control of street intersections is one of the most critical elements in providing an efficie...
Fuzzy logic controller (FLC) has been widely used in many consumer products and industrial applicati...
Vehicular travel is increasing throughout the world, particularly, in large urban areas. Since there...
Abstract—Traffic congestion is a critical issue which must be resolved. The concept of adaptive traf...
This thesis verifies the parameter optimization capability of fuzzy logic based algorithm on the rea...
Fuzzy controllers have been widely used in many consumer products and industrial applications with s...
This paper considers an automated static road traffic control system of an intersection for the purp...
Road intersections, bad roads, accidents, road construction works, emergencies, etc. are some of the...
Traffic congestion has been the major problem on most Nigeria roads. This is particularly due to the...
Dynamic signal control is a complex phenomenon that includes both increasing intersection capacity a...
Traffic signals play an important role in controlling and coordinating the traffic movement in citie...
Traffic flow systems are nonlinear and uncertain, so it is very difficult to find their optimal poin...
The aim of this thesis is to simulate the fuzzy intelligent traffic for the optimal controlling of t...
Traffic jam has become a common scene nowadays, due to the rapid increase of road users in the past ...
This paper presents a Sugeno-type fuzzy traffic controller for controlling isolated traffic intersec...
Traffic control of street intersections is one of the most critical elements in providing an efficie...
Fuzzy logic controller (FLC) has been widely used in many consumer products and industrial applicati...
Vehicular travel is increasing throughout the world, particularly, in large urban areas. Since there...
Abstract—Traffic congestion is a critical issue which must be resolved. The concept of adaptive traf...
This thesis verifies the parameter optimization capability of fuzzy logic based algorithm on the rea...