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1、《現(xiàn)代控制理論》 《現(xiàn)代控制理論》題 目 智能交通信號控制 智能交通信號控制學生姓名 學 號 學 院 專 業(yè) 指導教師 二O一 二O一 三 年 12 月 15 日have sensors that can detect the presence of vehicle and the transmitter wirelessly transmit
2、s the traffic density to the central controller. The controller makes use of the proposed algorithm to find ways to regulate traffic efficiently. II. THE NEED FOR AN ALTERNATE SYSTEM The most prevalent traffic signalin
3、g system in developing countries is the timer based system. This system involves a predefined time setting for each road at an intersection. While this might prove effective for light traffic, heavy traffic requires an a
4、daptive system that will work based on the density of traffic on each road. The first system proposed for adaptive signaling was based on digital image processing techniques. This system works based on the captured visua
5、l input from the roads and processing them to find which road has dense traffic. This system fails during environmental interaction like rain or fog. Also this system in testing does not prove efficient. The advanced sys
6、tem in testing at Pittsburgh [2] involves signals communicating with each other and also with the vehicles. The proposed system does not require a network between signals and vehicles and is a standalone system at each i
7、ntersection. III. THE PROPOSED SYSTEM This paper presents the concept of intelligent traffic routing using wireless sensor networks. The primary elements of this system are the sensor nodes or motes consisting of sensor
8、s and a transmitter. The sensors interact with the physical environment while the transmitter pages the sensor’s data to the central controller. This system involves the 4 x 2 array of sensor nodes in each road. This sig
9、nifies 4 levels of traffic and 2 lanes in each road. The sensors are ultrasonic or IR based optical sensors which transmits status based on presence of vehicle near it. The sensor nodes transmit at specified time inter
10、vals via ZigBee protocol to the central controller placed at every intersection. The controller receives the signal and computes which road and which lane has to be given green signal based on the density of traffic. The
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