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Traffic Actuated Control (TAC) is widely used for signal control in isolated intersections. TAC is a responsible method for online traffic data. In TAC, green durations are dynamically determined based on online traffic data. These determinations are subject to predefined static parameters which do not respond to sudden traffic flow changes. One type of these parameters in TAC is maximum green time...
Never Stop is an intelligent transportation system with sensor to control the traffic lights at intersection automatically. It utilizes fuzzy control method and genetic algorithm to adjust the waiting time for the traffic lights, consequently the average waiting time can be significantly reduced. A prototype system has been implemented at an EBox-II terminal device, running the fuzzy control and genetic...
Traffic on urban roads is increasing day by day. In India there has been a sudden rise in vehicles on road leading to several problems such as loss of time, increased fuel consumption, wasted fuel increasing air pollution and carbon dioxide emissions, noise pollution, inconvenience caused due to long queues and increased cost. Intelligent methods have not yet been adopted on Indian roads. Most of...
This paper gives the basic description of fuzzy metering control of the auxiliary road signals. On the base of this description, the basic fuzzy logic control structure and fuzzy control algorithm are described. The necessity of using the exit-auxiliary-road density as the fuzzy metering control objective is analyzed. The real membership function is used in the design process of the auxiliary road...
Aimed at the problem of multi-objective optimization, solution on the oversaturated signalized intersection by using fuzzy logic control (FLC) is presented. The essential and characteristics of multi-objective optimization in urban traffic signal control are analysed. The performance measures of minimizing average delay, stop times and average queue length are established, according to the initial...
The performance of neuro-fuzzy traffic signal control at two independent traffic junctions is discussed. In this work, traffic conditions at two 4-way traffic junctions were simulated and flow of traffic on the road connecting the two junctions under varying traffic conditions was studied. For a given data set, the developed neuro-fuzzy system automatically draws membership functions and the rules...
This article proposed a new method using Genetic Algorithms to optimize Real-time fuzzy control. This model has less input parameters, less rules. And it has advantages in both time and space complexity. It is easy to control, and has no restriction of experience knowledge. This method is applicable to Real-time system applications. The simulation result indicates the Fuzzy-Genetic Algorithms Optimizing...
Pressure ripple in electric power steering (EPS) system can be caused by the phase lag between driverpsilas steering torque and steer angle, the nonlinear frictions, and the disturbances from road and sensor noise especially during high frequency maneuvers. This paper novelly applied the robust fuzzy control method of active reduction of pressure ripple for EPS system, which achieves remarkable progress...
The performance of a networked control system (NCS) is affected directly and indirectly by transmission time delays and data losses in the communications network. Based on the communications network model, this paper presents two different control strategies and the study of network effects on the lateral (guidance) control of an autonomous guided vehicle (AGV) in the presence of sensor noise: bounded...
This paper uses the fuzzy neural networks (FNN) theory to solve the real time region traffic distributed control problem. The region traffic is regarded as a large scale system and the subsystems are the intersections in the region. Each intersection has its own traffic controller which manages the green phase and the phase length dynamically according to its own and its neighbor's traffic situations...
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