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STREAMS Integrated Intelligent Transport System is an enterprise traffic management system designed to operate in the Microsoft Windows environment. Like most traffic management systems, STREAMS is an array of institutional, human, hardware, and software components designed to monitor, control, and manage traffic on streets and highways.
Because Queensland driver licences were susceptible to fraud the department initiated a smartcard driver licence project in 2003. [2] [3] The project has suffered from long delays and cost overruns. The transition to the new cards commenced in 2011, and the new cards will replace laminated licences as they come up for renewal, expected to be ...
For the road traffic science, see various articles under Road traffic management. Road traffic control involves directing vehicular and pedestrian traffic around a construction zone, accident or other road disruption, thus ensuring the safety of emergency response teams, construction workers and the general public.
However, dynamic elements are now being introduced into road traffic management. Dynamic elements have long been used in rail transport. These include sensors to measure traffic flows and automatic, interconnected, guidance systems to manage traffic (for example, traffic signs which open a lane in different directions depending on the time of day).
Traffic management is a key branch within logistics. It concerns the planning, control and purchasing of transport services needed to physically move vehicles (for example aircraft , road vehicles , rolling stock and watercraft ) and freight .
In this context, transportation systems management techniques may include changes to traffic signals, such as coordinating them or introducing ramp metering, or minor changes to road geometry, such as straightening corners or lengthening merge lanes. These low-cost interventions can be very effective in reducing congestion under some circumstances.
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The software aspect of the system runs on standard home computer hardware and can be linked to other applications or databases.It first uses a series of image manipulation techniques to detect, normalize and enhance the image of the number plate, and then optical character recognition (OCR) to extract the alphanumerics of the license plate.