RESEARCH PAPERS

traffic light control research papers




Multi-agent reinforcement learning for traffic light control
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Abstract This paper describes using multi-agent reinforcement learning (RL) algorithms for learning traffic light controllers to minimize the overall waiting time of cars in a city. The RL systems learn value functions estimating expected waiting times for cars given different

Intelligent traffic light control
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Abstract Vehicular travel is increasing throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. In this paper we study the simulation and

Adaptive traffic light control with wireless sensor networks
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Abstract In this paper, we propose a novel decentralized traffic light control using wireless sensor network. The system architecture is classified into three layers; the wireless sensor network, the localized traffic flow model policy, and the higher level coordination of the

Organic traffic light control for urban road networks
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In recent years, autonomic and organic computing have become areas of active research in the informatics community. Both initiatives aim at handling the growing complexity in technical systems by focusing on adaptation and self-optimisation capabilities. A

Online traffic light control through gradient estimation using stochastic fluid models
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ABSTRACT In this paper, we consider the problem of dynamically regulating the timing of traffic light controllers in busy cities. We use a Stochastic Fluid Model (SFM) to model the dynamics of the queues formed at an intersection. Based on this model, we derive gradients of the

Intelligent Traffic Light Flow Control System Using Wireless Sensors Networks.
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Vehicular traffic is continuously increasing around the world, especially in large urban areas. The resulting congestion has become a major concern to transportation specialists and decision makers. The existing methods for traffic management, surveillance and control

Traffic Light Control System for Emergency Vehicles Using Radio Frequency
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ABSTRACT Traffic congestion problem is a phenomena which contributed huge impact to the transportation system in country. This causes many problems especially when there are emergency cases at traffic light intersections which are always busy with many vehicles. A

Real time traffic light control system using morphological edge detection and fuzzy logic
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ABSTRACT Traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate

Real Time Traffic Light Control Using Image Processing
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Abstract As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art of traffic control. Traffic problems nowadays are increasing because of the growing number of

Traffic light control using Infinitesimal Perturbation Analysis.
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ABSTRACT We address the traffic light control problem for a single intersection by viewing it as a stochastic hybrid system and developing a Stochastic Flow Model (SFM) for it. Using Infinitesimal Perturbation Analysis (IPA), we derive online gradient estimates of a cost

Dynamic traffic light control scheme for reducing CO2 emissions employing ETC technology
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ABSTRACT With the increasing growth of vehicle numbers in the world, Global warming is becoming a serious issue. Vehicle CO2 emissions are considered to be one of the main sources of global warming. In order to reduce vehicles CO2 emissions, a dynamic traffic

A novel fuzzy control model of traffic light timing at an urban intersection
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ABSTRACT Despite the widespread research done on modeling, simulation and optimization of traffic flows, most applications of fuzzy logic in traffic engineering are still under development and can be frequently seen in traffic light detection, traffic situation

ETC Assisted Traffic Light Control Scheme for Reducing Vehicles CO2 Emissions
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ABSTRACT This paper presents a vehicle's CO2 emission reduction scheme by an ETC- assisted real-time traffic light control scheme in vehicular networks. Using Electronic Toll Collection (ETC) devices, real-time road conditions can be obtained by wireless

The use of genetic algorithm for traffic light and pedestrian crossing control
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Summary The increase in urban traffic has resulted in traffic congestions, long travel times and increase hazards to pedestrians due to inefficient traffic light controls. These scenarios necessitate the use of new methods in the design of traffic light control for vehicles and

Optimal traffic light control for a single intersection: Addendum
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In this addendum we give some extra propositions, proofs and examples in connection with the model for the evolution of the queue lengths at the switching time instants that we have derived in Section 2 of the paper Optimal traffic light control for a single intersection(

Formal specification of a voice communication system used in air traffic control, an industrial application of light-weight formal methods using VDM++
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ABSTRACT During the last few years light-weight approaches to formal development methods have been proposed in order to facilitate the technological transfer of these techniques. This article presents the results and experiences gained in an industrial project, in which

A fuzzy control method of traffic light with countdown ability
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Abstract Based on intelligent traffic system idea and fuzzy logical, a fuzzy control method of the traffic light signal with full countdown function is proposed which can effectively solve the randomness problem in the dynamic system. The method overcomes limitation of

Multi-agent traffic light control framework based on direct and indirect coordination
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ABSTRACT Traffic congestion is a serious problem in urban life causing social problems such as time loss, economical loss, and environmental pollution. Therefore, we propose a multi-agentbased traffic light control framework for intelligent transport systems. For

Fault accommodation for discrete event systems using Petri net with application to traffic light control
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ABSTRACT This paper discusses the fault tolerant control problem for discrete event systems modeled by Petri nets. The fault is represented by the unobservable transitions. Firstly, an observer-based fault diagnosis method is proposed to estimate the marking with unknown

Traffic Light Priority Control For Emergency Vehicle Using RFID
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ABSTRACT The proposed RFID traffic control avoids problems that usually arise with standard traffic control systems, especially those related to image processing and beam interruption techniques. This RFID technique deals with a multivehicle, multilane, multi road junction

Intelligent Traffic Light Control System using Morphological Edge Detection and Fuzzy Logic
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ABSTRACT Traffic is the major problem which every country faces because vehicular travel is increasing throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this

Traffic Light Control System using 434 MHz Radio Frequency
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ABSTRACT Traffic congestion problem is the phenomena which contributed a huge obstacle to the transportation system. This will cause many problems mainly when there are emergency cases at traffic light intersections which are always busy and jammed with many vehicles.

Design of Sophisticated Traffic Light Control System
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ABSTRACT Present Traffic Light Controllers (TLC) is based on microcontroller and microprocessor. These TLC have limitations because it uses the pre-defined hardware, which is functioning according to the program that does not have the flexibility of

Adaptive Traffic Light Control Ssytem Using AD HOC Vehicular Communications Network
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In this paper, we consider an urban arterial road and investigate the problem of adaptive traffic light control using real-time traffic information. The urban traffic flow depends on the driver behaviour, and also, it is influenced by traffic control and environmental factors. On

An ADAPTIVE TRAFFIC LIGHT CONTROL SCHEME AND ITS IMPLEMENTATIONIN WSN-BASED ITS
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ABSTRACT 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

Standardisation of Light Signals for Road Traffic Control
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Light signals for road traffic control are applied in an increasing number of cases in order to promote the flow of traffic at highly trafficked intersections. Although individual waiting times may increase, it is generally accepted that the capacity of intersections and road safety are

Intelligent and self control safety traffic light system for road constructions
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ABSTRACT The Intelligent Traffic Light is one of the best devices in work zone traffic flow control systems. This device can replace one or both flaggers during the lane closures on the event of a road construction. The portable traffic light can be best utilized in traffic flow

Driver Comprehension and Assessment of Traffic Control Devices at Signalized Intersections Interfacing with Light Rail Transit
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Signalized intersections that interface with light rail transit (LRT) pose a unique challenge to traffic operations and safety. Although progress toward mitigating light rail vehicle-motor vehicle crashes has been made, many agencies still face safety issues at these

Implementation of Modern Traffic Light Control System
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ABSTRACT There are many problems of congestion with traffic light in many cities. This problem of congestion can be caused by long time delays of traffic light's Red light. When there are emergency case at traffic light intersection which are always busy with many

Design and Implementation of a Real-time Traffic Light Control System Based on FPGA
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ABSTRACT In this paper, the design and implementation of a real-time traffic light control system based on Fieldprogrammable Gate Array (FPGA) technology is reported. The traffic light control system is designed with VHDL language. Its function was verified with

Real Time Traffic Light Control System (Hardware and Software Implementation)
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Abstract Road traffic congestion is a recurring problem worldwide. This is primarily because infrastructure growth is slow compared to growth in number of vehicles, due to space and cost constraints. This paper proposes a new vehicle density measurement method using

A Novel Approach for Emergency Vehicle Detection and Traffic Light Control System
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ABSTRACT The main objective of this paper is to design and implement an efficient and accurate way to detect emergency vehicle at the traffic signal and their direction of approach towards the traffic signal, so as to clear the traffic of that lane by turning the traffic signal

Traffic Light Control Utilizing Queue Length
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ABSTRACT Road traffic congestion in modern cities has become essential problem which need to be solved. To solve this problem, we have proposed a dynamic traffic light controller system based on image processing. Images (the road-images) used in this research are

Traffic Light Control System Using Image Processing
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ABSTRACT Traffic is the major problem which country faces today this is because of the increase in number of vehicles. The increase in number of vehicles resulting to the need of a smart system that could efficiently handle traffic congestion based on the density of traffic.

Design Of Semi-Automatic Traffic Light Control System
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ABSTRACT Today's traffic light system has a lot of limitations at road junction. The system is not flexible or in other words cannot modify on real time. The static traffic control have fixed timing for the three traffic lights the green, yellow and red . The cars waste a lot of fuel

Application of Image Processing in Real Time Traffic Light Control by Traffic Jam Detection
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ABSTRACT Traffic management is becoming one of the most important issues in rapidly growing cities. Due to bad traffic management a lot of man-hours are being wasted. Increasing congestion on highways and problems associated with existing detectors has

Simulation of coordinated traffic light control using model predictive control
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This research paper is a compulsory part of the Master program Business Analytics at VU University Amsterdam. The purpose of the paper is to do research on a subject that is related

Using CMAC Neural Network for Traffic Light Control
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Abstract Since the number of users on road always increase and the existing sources are limited, the traffic flow can be enhanced using intelligent traffic management, and in particular traffic light timing optimization. Control of the traffic light and coordinate of them

Development Of A Microcontroller-Based Traffic Light System For Road Intersection Control
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ABSTRACT The control of traffic at road junction, which was done purely by human effort, proves to be inefficient owing to the increasing rate of both motorists as well as the complexity of road networks. This inadequacy brought about the use of discrete solid-state

Design and Fabrication of a Smart Traffic Light Control System
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ABSTRACT Although the importance of traffic lights which give safety to the users on roads, the traffic jam causes great loose in time and energy (fuel) for some people, while others crossing road or roundabout have no traffic jam. The main objective of this paper is to

Performance comparison of CPLD and PLD based traffic light control system
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ABSTRACT PLD and CPLD has been extensively used for custom made circuits. That is why they are perfect for designing traffic light control systems. Our thesis represents the performance comparison of a traffic light control system designed on GAL (Generic Array

Eight Way Traffic Light Control for High Density and Minimum Travel Time
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ABSTRACT Traffic issues like congestion, unpredictable travel time delays and road accidents are taking a serious shape. All countries are wrestle with this tickler not only in urban areas but also at highway intersection. In current scenario only smart concept can

APPLIED TO DYNAMIC TRAFFIC LIGHT CONTROL ALGORITMOS DE VISIN DE MQUINA APLICADOS AL CONTROL DINAMICO DE INTERSECCIONES
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Adaptive Traffic Light Control of Traffic Network
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ABSTRACT Our objective is to reduce the delay experienced by the green wave in a traffic network. The main concern is to ensure that the vehicles in the dominant direction experience the least amount of delay. In order to achieve that, we propose two algorithms

Learning Traffic Light Control Policies
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With the growth of modern cities and the reliance of many of their populations on personal automobiles for the primary mode of transport, finding improved means to control the flux of vehicles has grown increasingly important. There are substantial benefits to be derived

Control of Traffic Light in Isolated Intersections Using Fuzzy Neural Network and Genetic Algorithm.
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ABSTRACT In this paper a fuzzy neural network is applied for real time traffic signal control at an isolated intersection. The FNN has advantages of both fuzzy expert system (fuzzy reasoning) and artificial neural network (self-study). A traffic light controller based on fuzzy

Fuzzy Logic Control of Traffic light with Countdown Ability
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Abstract. Based on intelligent traffic system and fuzzy logic idea, a fuzzy control method of the traffic light signal with full countdown ability is proposed which can effectively solve the randomness problem in the dynamic system. The method overcomes limitation of

Intelligent traffic light control using reinforcement learning
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Page 1. 1 Intelligent traffic light control using reinforcement learning Bram Bakker Leon Kester IAS, Informatics Institute, University of Amsterdam Page 4. 4 Intelligent traffic light control Machine learning for traffic light control method: reinforcement learning

Intelligent traffic light control using an adaptive approach
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ABSTRACT Traffic congestion is a complex difficulty in the urban road network, caused by an exceeded usage of road capacity. In this paper, an intelligent traffic signal system is proposed. It has two important tasks: move as many vehicles through the intersection as

A Framework for Agent-Based Traffic Light Control
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ABSTRACT As traffic congestion rises within large cities, intelligent traffic control is becoming increasingly important. In this filed, intelligent traffic light control has received much attention. Considering the distributed characteristic of traffic light, multi-agent system can simulate

Improved Traffic Control in Portharcourt using Solar Dependent Traffic Light System
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ABSTRACT The Charge controller regulates the voltage output from the solar panel which is used to charge the battery and also the fixed logic system for control and timing, with the help of voltage regulator (LM7805 and LM7812) to achieve a steady output, which was

Real Time Traffic Light Control System Using Image Processing
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ABSTRACT The proposed system has implement the image processing knowledge and to improve the state of the art of Traffic Control System (TCS). Now a day, traffic problems are increased because of the presence of growing number of vehicles and limited resources

A Survey On Edge Detection Technique For Traffic Light Control System
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ABSTRACT Traffic is the major problem which country faces today this is because of the increase in number of vehicles. The increase in number of vehicles resulting to the need of a smart system that could efficiently handle traffic congestion based on the density of traffic.

Fuzzy Traffic Light Control Using Cellular Automata for Urban Traffic
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ABSTRACT 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

Traffic Light Control in an Avenue
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Abstract. In this short paper we solve in general the problem of synchronization of lights in a street or avenue of having two directions assuming that the all vehicles have a constant speed. The general approach is elementary and the case for practical application is vast.

FIELD TESTING OF SMART TRAFFIC LIGHT: ADAPTIVE TRAFFIC CONTROL OF AN INTERSECTION USING CAMERAS AS DETECTORS
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ABSTRACT To address the problems of traffic congestion in the local setting, the Smart Traffic Light System is developed by the UP-EEEI student research. Smart Traffic Light System is an adaptive traffic system that adjusts continuously in real-time based on the vehicle at the

ASIC Hardware Implementation of Dual Mode Traffic Light Control.
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ABSTRACT This present work describes an ASIC Hardware Implementation of Dual Mode traffic light control. With this device, the logic operation is controlled or operated by two modes. In Mode-1, the system is operated with perfect period of timing and proper

Image Processing Based Traffic Light Control
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ABSTRACT We are very much aware of the fact that, the population of city and number of vehicles on the road are increasing day by day. With increasing urban population and hence the number of vehicles, need of controlling streets, highways and roads is major issue.

traffic light control using blob



Improving shadow suppression in moving object detection with HSV color information
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refer to [l]. The basic steps are: 1. background suppression 2. moving blob detection 3. moving moving points and after some morphology operations (opening and clos- ing) are grouped into blobs. to shadow objects vi- sually easy to be disjoint are merged into a single blob.
4a, where the detection of the triangular sign in the image is desired this, a thresholding of the colour analysis image is performed and the number and position of the blobs are obtained If no blob is bigger than a certain value there is no sign and no posterior analysis is performed

Detecting moving objects, ghosts, and shadows in video streams
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This connected object-ghost blob can be either globally accepted as a true object or optical flow equation, which is, however, limited to the pixels of foreground blobs only). This approach, consequently, allows fast detection of moving objects which for many applications is

A novel method for tracking and counting pedestrians in real-time using a single camera
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Sensors which are based on lane detection or trip-line de- tection often fail to monitor weaving sections The shape of the blob can give a good clue on its con- tents. Although blobs obtained from difference images can be sufficient to decide the location of pedestrians in many

Effective shadow detection in traffic monitoring applications
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system where removing a shadow (attached to blob ID 13) allows one blob to separate algorithm (50 pixels), MR, (284) will contribute at most to 5 wrongly detected (FA) blobs. from a computational point of view) which allows obtaining an effective shadow detection method in

A comparative study of different color spaces for foreground and shadow detection for trafficmonitoring system
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color space gives the least number of true detection and the highest number of split which is bad as can be seen in Figure 4(b). It has the lowest number of false detection which is Tme Detgtion(TD) is the ratio of the comtlydwd blobs with the total number of blob detected.
Such vehicles will become grouped together as one large blob in the foreground image partially occludes vehicle 1. Region based tracking would erroneously merge the two 'blobs' together at 1(A): if the vehicles enter the detection region partially occluded, the system will group

Traffic parameter extraction using video-based vehicle tracking
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The moving blob mask M, is obtained by thresholding the absolute difference of input image I, and its background B, at time t. Since we are interested in vehicle motion of 4- occlusion Detection and Reasoning If the merged blobs had a collision, the occlusion type is explicit.

A real-time vehicle detection and tracking system in outdoor traffic scenes
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Let us assume that the vehicle detection system detect Ot vehicle blobs from image frame Ft At frame Ft+1, we only track these Ot vehicle blobs. In order to make the tracking efficient, we define a match window of NxN within each vehicle blob Vj, and a search window S. Let (xi, yi Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation We determine the direction of traffic flow by horizontally av- eraging the lane mask for each car blob image to of Lai and Yung [11]. The image coordinates come from the bottom edges of the vehicle blobs, [13] J. Canny, A computational approach to edge detection, IEEE Trans.

Traffic sign shape classification evaluation. Part II. FFT applied to the signature of blobs
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energies in the signature of the blob are due exclusively to different sizes of the blobs, therefore making will be, first, the reduction of the false alarm probability, extracting more parameters from the blob than the [3] C. Fang, S. Chen, and Fuh C Road sign detection and tracking.

Snort: Lightweight Intrusion Detection for Networks.
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break; } # keep us from getting flooded if there is no newline in the data if (strlen($blob) 4096) $blob = "; # save the blob for next pass $blob = substr($blob, $x + 1 Snort Lightweight Intrusion Detection for Networks Appendix B: Snort rules to detect the same web CGI probes.

Real time visual traffic lights recognition based on spot light detection and adaptive traffic lights templates
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Insofar as we have distinguished connected component, we are then able to extract blobs using an Thus, using the properties retrieved from the blob extraction (area, perimeter, orientation, etc.) we are First Step First a robust Spot Light Detection (SLD) is executed on the whole

Traffic sign detection and pattern recognition using support vector machine
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This strategy enables us to compare every candidate blob to those having the same colour and shape image which is used as a feature vector for pattern classification of the traffic patterns in the detected blobs. 3] C. Fang, S. Chen and Fuh C. Road Sign Detection and Tracking

Video-based freeway-monitoring system using recursive vehicle tracking
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This choice makes the vehicle detection procedure adaptive to the scene conditions For each blob, the position, the area, and an estimate of its density is computed The image coordinates of the detected and tracked blobs are mapped onto the generated 3-D model of the road to

An algorithm to estimate mean traffic speed using uncalibrated cameras
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In the following steps, we use only blobs whose size is greater than 7 7 pixels but less than twice the area for the typical blob in that area of the image. [5] J. Zifeng, Macro and micro freeway automatic incident detection(aid) methods based on image processing, in Proc.

Viewpoint independent detection of vehicle trajectories and lane geometry from uncalibratedtraffic surveillance cameras
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algorithm detects a blob comprised of two vehicles and a second blob with four a Kalman Filter, time-consistent merging- and-splitting of overlapped detected blobs, aggregation of Y. Matsushita, K. Ikeuchi, M. Sakauchi: Traffic Monitoring and Accident Detection at Intersections

Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a method for focus-of-attention
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The theory should in a bottom-up fashion allow for a data-driven detection of significant structures, their relations, and the scales grey- level blobs existing before such an event will be re- garded as belonging to the same scale-space blob as the grey-level blobs existing after

Robust denoising and moving shadows detection in traffic scenes
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By thresholding the histogram of the outcome of this gradient operation, we divide the blob border into At last, all blobs are indicated by contour lines, rather than by bounding boxes. [6] I. Mikic, PC Cosman, GT Kogut, MM Trivedi, Moving Shadows and Object Detection in Traffic

Road-sign detection and recognition based on support vector machines
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similarity. Second, the detection process is invariant to rotation because, before obtaining DtB vectors, the most external pixels of each blob are detected to determine the original orientation, and after this, all blobs are oriented in a reference position.


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