Vehicular travel which demands on the concurrent operations and parallel activities is increasing throughout the world, particularly in large urban areas. Most of the models introduced in the recent years are formulated using the language of cellular automata (CA). In this paper, to control urban traffic, we study the simulation and optimization of traffic light controllers in a city and presen...

Due to the increasing amounts of traffic in and around urban areas there is a growing need for intelligent traffic lights that optimize traffic flow. In this paper we describe the optimization of traffic light controllers using a multi-agent, model-based reinforcement learning or approximate real-time dynamic programming approach. Our methods optimize individual traffic lights locally, but the ...

This paper presents a color space based algorithm for traffic signal light detection for the modules used in Advanced Driver Assistance Systems (ADAS). The autonomous vehicle has been a topic for the discussions among the computer science engineers for several years. Traffic Signal Light Detection algorithm is based on color space theory which efficiently detects the color of traffic light duri...

This paper presents the model and algorithms for traffic flow data monitoring and optimal traffic light control based on wireless sensor networks. Given the scenario that sensor nodes are sparsely deployed along the segments between signalized intersections, an analytical model is built using continuum traffic equation and develops the method to estimate traffic parameter with the scattered sen...

We propose a pheromone-based traffic management model, which simultaneously optimizes vehicle re-routing and traffic light control. Specifically, each car agent deposits multiple digital pheromone on its route. The road infrastructure agents fuse the pheromone to forecast traffic conditions. Once a congested road is predicted, we adopt a proactive vehicle re-routing algorithm for assigning alte...

This paper presents the different approaches for the pedestrians (who cross the road), there is different type of systems developed now days for pedestrians and to control the traffic so that time consumption to reaching the destination by road become less. This type of system is very helpful for both, the one who drive on the road or who walk on the road (pedestrians). There are different appr...

We investigate the problem of adaptive control of traffic lights using real-time traffic information collected by a wireless sensor network (WSN). Previous studies mainly focused on optimizing the intervals of green lights in a fixed sequence of traffic lights, and ignored some traffic flow’s characteristics and special traffic circumstances. In this paper, an adaptive traffic light control sch...

Traffic lights play an imperative role in traffic management. Traffic lights play an important role in the traffic management. Existing Automatic Traffic Light Violation Detection System is based on the camera’s to detect the violator. This system has a number of limitations like blurry image due to motion , poor image resolution because the number plate is far away, poor lightening, different ...

VIsible light communication for advanced Driver Assistant Systems (VIDAS) is an outdoor application using the visible spectrum of light emitting diodes (LED). A simple traffic light set up based on LED traffic lights for traffic information transmission has been analyzed in this paper. Various important design parameters have been optimized through intensive investigation based on gain variatio...

The elementary cellular automaton following rule 184 can mimic particles flowing in one direction at a constant speed. This automaton can therefore model highway traffic. In a recent paper, we have incorporated intersections regulated by traffic lights to this model using exclusively elementary cellular automata. In such a paper, however, we only explored a rectangular grid. We now extend our m...