The field of intelligent traffic control systems (telematics) represents an important part of the traffic control issues. The objective of telematics is to make the traffic safer, more effective, of smaller congestions at roads and of less economic environmental load.
Telematics refers to the integration of computing, wireless communications and Global Positioning System (GPS) for sending, receiving and storing information over vast networks. More specifically, the term refers to automobile systems that provide a variety of emergency and navigational services to motorists. Telematics devices allow drivers to browse the Internet, send and receive e-mails, receive live traffic updates, listen to satellite radio, and perform various other activities. The best part is that all these things can be done hands-free.
2006-12-16 23:46:01
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answer #1
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answered by Robert W 4
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Suppose there are a number of cars with their destination address standing before a crossing. All cars communicate to the traffic light their specific place in the queue and their destination address. Now the traffic light has to decide which option (ie, which lanes are to be put on green) is optimal to minimize the long-term average waiting time until all cars have arrived at their destination address. The learning traffic light controllers solve this problem by estimating how long it would take for a car to arrive at its destination address (for which the car may need to pass many different traffic lights) when currently the light would be put on green, and how long it would take if the light would be put on red. The difference between the waiting time for red and the waiting time for green is the gain for the car. Now the traffic light controllers set the lights in such a way to maximize the average gain of all cars standing before the crossing. To estimate the waiting times, we use 'reinforcement learning' which keeps track of the waiting times of individual cars and uses a smart way to compute the long term average waiting times using dynamic programming algorithms. One nice feature is that the system is very fair; it never lets one car wait for a very long time, since then its gain of setting its own light to green becomes very large, and the optimal decision of the traffic light will set his light to green. Furthermore, since we estimate waiting times before traffic lights until the destination of the road user has been reached, the road user can use this information to choose to which next traffic light to go, thereby improving its driving behaviour through a city. Note that we solve the traffic light control problem by using a distributed multi-agent system, where cooperation and coordination are done by communication, learning, and voting mechanisms. To allow for green waves during extremely busy situations, we combine our algorithm with a special bucket algorithm which propagates gains from one traffic light to the next one, inducing stronger voting on the next traffic controller option.
2006-12-17 07:49:30
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answer #2
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answered by jackbutler5555 5
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Traffic control that doesn't include
(a) Getting run over by a vehicle.
(b) Getting mocked by pedestrians.
(c) Creating monster traffic
2006-12-17 07:48:19
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answer #3
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answered by jam!ng 1
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