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TRAFFICCAM Team/ Individual Name : TECHTRONAUTZ 318 Members of the Team : G.Keerthana , B.Sarala , A.Kavitha , D.Mathumitha Name of College and City : Karpagam Institute of Technology Course of specialization : B.E-CSE Year/ Batch : III/2011-2015 College ID : 7212 Karpagam Institute Of Technology Name of the Professor/ Placement officer involved in this project : Gopi Krishnan.S


MONITOR TRAFFIC CONDITIONS Idea: To implement cameras in the traffic signals for the benefits of the people and inorder to monitor the traffic laws and to reduce the time consumption due to time-based traffic controls. Prototype : Tracking moving objects (such as vehicles, persons etc) based on a network of autonomous tracking units -Capture and process images from pre-calibrated visual Sensors-the proposed system developed-the framework of TRAFFICCAM ( TRAFFic CAMeras ) project, is flexible, scalable and can be applied in a broad field of applications in the future. Traffic Cameras Traffic visual monitoring

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The Innovation:Traffic Cameras:

The Innovation:Traffic Cameras The industry we have selected belongs to the area of Public Services The field of technology which it belongs to is Social media The main Objective for the introduction of this idea is to monitor the Traffic regulations and to avoid frequent collisions in major areas especially during peek hours. The major approach of “TRAFFICCAM” is Speed Enforcement. The TRAFFICCAM is an automated ticketing machine. It helps in recording vehicles inside a congestion charge area. They are implemented latestly in automatic number plate recognition systems which is to be used for the detection of average speeds and raise concerns over loss of privacy and the potential for governments to establish mass surveillance of vehicle movements and therefore by association also the movement of the vehicle's owner. High-occupancy vehicle lane cameras to identify vehicles violating occupancy requirements.

Compelling need for the innovation:

Compelling need for the innovation Traffic congestion is a condition on road networks that occurs as use increases, and is characterized by slower speeds, longer trip times, and increased vehicular queueing . The most common example is the physical use of roads by vehicles. When traffic demand is great enough that the interaction between vehicles slows the speed of the traffic stream, this results in some congestion. As demand approaches the capacity of a road (or of the intersections along the road), extreme traffic congestion sets in. When vehicles are fully stopped for periods of time, this is colloquially known as a traffic jam or traffic snarl-up . Traffic congestion can lead to drivers becoming frustrated and engaging in road rage . Traffic congestion occurs when a volume of traffic or modal split generates demand for space greater than the available road capacity; this point is commonly termed saturation .

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There are a number of specific circumstances which cause or aggravate congestion; most of them reduce the capacity of a road at a given point or over a certain length, or increase the number of vehicles required for a given volume of people or goods. About half of U.S. traffic congestion is recurring, and is attributed to sheer weight of traffic; most of the rest is attributed to traffic incidents, road work and weather events Traffic research still cannot fully predict under which conditions a "traffic jam" (as opposed to heavy, but smoothly flowing traffic) may suddenly occur. It has been found that individual incidents (such as accidents or even a single car braking heavily in a previously smooth flow) may cause ripple effects (a cascading failure ) which then spread out and create a sustained traffic jam when, otherwise, normal flow might have continued for some time longer.


Impact Some traffic engineers have attempted to apply the rules of fluid dynamics to traffic flow, likening it to the flow of a fluid in a pipe. Congestion simulations and real-time observations have shown that in heavy but free flowing traffic, jams can arise spontaneously, triggered by minor events (" butterfly effects ). Because of the poor correlation of theoretical models to actual observed traffic flows, transportation planners and highway engineers attempt to forecast traffic flow using empirical models. Their working traffic models typically use a combination of macro-, micro- and mesoscopic features, and may add matrix entropy effects, by " platooning " groups of vehicles and by randomising the flow patterns within individual segments of the network. These models are then typically calibrated by measuring actual traffic flows on the links in the network, and the baseline flows are adjusted accordingly. Congested roads can be seen as an example of the tragedy of the commons .

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Because roads in most places are free at the point of usage, there is little financial incentive for drivers not to over-use them, up to the point where traffic collapses into a jam, when demand becomes limited by opportunity cost . Privatization of highways and road pricing have both been proposed as measures that may reduce congestion through economic incentives and disincentives. Congestion can also happen due to non-recurring highway incidents,such as a crash or roadworks , which may reduce the road's capacity below normal levels. Wasting time of motorists and passengers (" opportunity cost "). As a non-productive activity for most people, congestion reduces regional economic health. Delays, which may result in late arrival for employment, meetings, and education, resulting in lost business, disciplinary action or other personal losses. Spillover effect from congested main arteries to secondary roads. During rush hour , right turns onto the side street shown here are prohibited in order to prevent rat running Higher chance of collisions due to tight spacing and constant stopping-and-going

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Overwhelming of the Vehicles Due to the time-based traffic systems


Implementation The innovation we described is an adaptable traffic lights controller system was made by using a camera as a vision in the intersection. It is sure that this will be one of the methodologies for modeling, analyzing and controlling on Discrete event Systems. The Sensors in traffic signals will improve the flexibility and troubleshoots of social system and reduce the difficulty in its realization. This wireless sensor networking is an emerging technology that has a wide range of potential applications which include environmental monitoring. This report presents implementations of three sub-systems: (1) safe vehicular passing (2) traffic violation detection (3) automobile tracking

The Competitive Advantage:

The Competitive Advantage Relief for Overworked Police Officers since People are not Machines. One positive effect is that installation of these traffic light cameras is usually splashed all over the local newspaper. Timid drivers will be more timid and overly aggressive drivers will perhaps get a reality check before grabbing their car keys. Repeat Offenders Get Stiffer Penalties . Some thick-headed individuals need to be told something more than once. It also represents an incredible opportunity to fast-forward technological innovations in many areas. Safe vehicular passing was developed to serve rural roads where many accidents happen during passing maneuvers. This application allows users to acquire knowledge of the surroundings to enhance vehicular passing safety. Traffic violation detection was developed to capture traffic violations with minimal costs. Connecting a GPS receiver to a node and updating the global co-ordinates of the node in real time would allow tracking of vehicles which are equipped with a GPS system.

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I ntegrating the information learned between cameras to reach aggregate understanding of the complex (traffic) scenes. The invention of new paradigms for understanding traffic from a visual perspective , which will require discarding old methods of traffic image analysis that are based on decades-old military goals of vehicle detection and identification, and replacing them with new innovations on measuring visual traffic statistics and traffic flow analysis. video cameras were introduced to traffic management for roadway surveillance because of their ability to transmit closed circuit television imagery to a human operator for interpretation A video image processor (VIP) system (sometimes referred to as a machine vision processor) typically consists of one or more cameras, a microprocessor-based computer for digitizing and processing the imagery, and software for interpreting the images and converting them into traffic flow data. A signal processing approach implemented by Computer Recognition Systems incorporates wireframe models composed of line segments to represent vehicles in the image

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