Fuzzy Logic Traffic Controller Research Articles

Optimizing of phase plan, sequence and signal timing based on flower pollination algorithm for signalized intersections

The purpose of this study is to develop a control system that optimizes the phase plan, sequence and signal timing using the flower pollination algorithm (FPA). At the same time, it is aimed to improve the fixed-time control system with the optimum cycle length search approach based on the differential evolution algorithm. The applicability and performances of these two control systems were examined in 15 different traffic situations according to 4 different intersection geometries. Fixed-time and optimized fuzzy logic traffic controller (FLC) developed by Dogan were used as the reference control systems in performance comparison. The optimum cycle length search system can achieve approximately 18% improvement over the fixed-time system, but showed lower performance than the FPA and FLC control systems. The FPA system has proven its applicability by achieving the best performance with about a 30% improvement compared to the fixed-time system and about 3% improvement compared to the FLC system. The FPA approach, which has a fast and effective performance, has been found to be an alternative method for intersection control, and it is foreseen that it can increase the intersection capacity and reduce the negative effects such as delay and fuel consumption.

DYNAMIC BEHAVIOUR OF A MODELED TRANSPORTATION NETWORKED CONTROL SYSTEM FOR T-JUNCTION

Traffic congestion has been the major problem on most Nigeria roads. This is particularly due to the rapid increase in urban migration. Majority of the traffic control schemes adopted in the country to alleviate this problem are the fixed time controllers employed at all signalized intersections. This has resulted in increased traffic jam especially during the peak periods at most intersections on our highways. In this study, a fuzzy logic system to control traffic on signalized intersection has been proposed. The Fuzzy Logic Controller regulates the traffic signal timing, the green light extension and phase sequence to ensure smooth flow of traffic, thereby reducing traffic delays and thus increasing the intersection capacity. A fuzzy logic traffic control simulation model was developed and tested using MATLAB/ SIMULINK software. Comparative analysis was carried out between the fuzzy logic controller and a conventional fixed-time controller in order to determine the efficiency of the developed system. Evaluation results of the fuzzy logic traffic controller shows that vehicles spent less time at the intersection compared to the fixed time controller, that is, improved vehicular movement. Moreover, simulation results show that the fuzzy logic controller has better efficiency and that a huge improvement could be realized by adapting it in controlling traffic flow at intersections.

Single chip digital CMOS implementation of a reconfigurable fuzzy logic traffic controller

In this paper, single chip CMOS design of a reconfigurable fuzzy traffic light controller is studied. The chip inputs are traffic data and parameters of fuzzy membership degrees (MD). MD's are allowed to have variable numbers of reconfigurable trapezoidal membership functions. Based on the traffic density, the fuzzy traffic controller decides either to terminate the current green phase or to prolong it for better intersection traffic handling. Import/export of data and working parameters are carried out through a serial link. The chip is designed using Very High Speed Integrated Circuit (VHSIC) Hardware Description Language (VHDL) and its layout is derived using SOC Encounter. Parallel and sequential architectures for fuzzy processing which have diverse impacts on the chip area (cost) and fuzzy process delay (speed) are evaluated. The design of choice is a sequential architecture maintaining low power, low die area (cost) and adequately fast speed, to be capable of containing the entire fuzzy traffic control and data collection hardware. The simulated chip performance is tested versus full software implementation of the algorithm.

Fuzzy logic traffic control at a road junction withtime-varying flow rates

Fuzzy logic has been applied to control traffic at road junctions. A simple controller with one fixed rule-set is inadequate to minimise delays when traffic flow rate is time-varying and likely to span a wide range. To achieve better control, fuzzy rules adapted to the current traffic conditions are used.

Traffic control process of expressway by fuzzy logic

There are many complicated and fuzzy situations in the case of controlling the traffic flow on an urban expressway. Data obtained by traffic detectors and information about other roads all should be considered to determine the best operation. The control of an urban expressway, therefore, has been dependent upon skilled operators' judgement and decision. The objective of the study reported here is to describe the judgement process of the operator by fuzzy logic and to suggest a traffic control system that could determine the pattern of on-ramp control of the expressway automatically. Establishing a fuzzy logic traffic controller according to a real operation process would be valuable to decrease the work load of the skilled operators who make decisions every time, and helpful to develop a more effective operation procedure. In this study, a simple fuzzy reasoning model for on-ramp control is constructed. The actual operating data were gathered on Hanshin Expressway. The Osaka-Sakai route is the example route on which the performance of the model is examined. As a result of the study, it becomes clear that the fuzzy logic traffic controller system is effective to describe and take the place of human operators. In addition, improvement of the model and a total system of fuzzy traffic control is suggested.

Development of Fuzzy Traffic Control System on Urban Expressway

The new control system becomes neccessary because the control of the urban expressway such as restricting the number of booths and closing ramps has depended upon skilled operators' judgement and decision. The objective of the study is to develope the simple judgement system in place of the operators and to suggest the process to consider the new efficient traffic control, the method of fuzzy reasoning is utilized to build up the traffic control model which describe the operators' judgement process. The Osaka-Sakai route of Hanshin expressway is the example route that the performace of the model is examined. The actual oprerating data were gathered on the route. As a result of the study, it becomes known that the fuzzy logic traffic control system is able to describe actual judgement process and take the place of human operators automatically. If the practical traffic control system based on the fuzzy control is established, it will become valuable to decrease the loads of the skilled operators who make decision every time, and helpful to develope more effective operation procedure. In addition, total system of fuzzy traffic control includes the improvement process is also able to be suggested.