2009Unpublished venueRequires access

Switching Model of Traffic Network and Its Congestion Control and Scheduling Algorithm

Laisheng Xiao, Xiaohong Peng, Zhengxia Wang

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Abstract

The structure and function of a traffic transport network are similar to these of a computer network. The former is used for vehicles to run, while the latter is used to transmit data packets. The problem of traffic flow congestion in a traffic network is also similar to that of packet congestion in a computer network. Up to now, there are a lot of researches about the problem of packet congestion control algorithm for a computer network, but while there is a relatively little study about the problem of traffic congestion for a traffic network from the point of whole network in current academia. In order to find a good way to control traffic congestion, learning from theory and technology on computer networks, we have made a comprehensive study about modeling and congestion control algorithm for a transportation network. Firstly, we set up a switching model for whole traffic network and put functions of congestion detection and controlling into switching nodes. Based on it, we have made a further study about issue of traffic congestion control and scheduling. By introducing PID control model into it, we design a new algorithm, which is called TPID. By this way, we have improved the performance and efficiency to design a traffic congestion control system for a traffic network.

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What this paper is about

The structure and function of a traffic transport network are similar to these of a computer network. The former is used for vehicles to run, while the latter is used to transmit data packets. The problem of traffic flow congestion in a traffic network is also similar to that of packet congestion in a computer network. Up to now, there are a lot of researches about the problem of packet congestion control algorithm for a computer network, but while there is a relatively little study about the problem of traffic congestion for a traffic network from the point of whole network in current academia. In order to find a good way to control traffic congestion, learning from theory and technology on computer networks, we have made a comprehensive study about modeling and congestion control algorithm for a transportation network. Firstly, we set up a switching model for whole traffic network and put functions of congestion detection and controlling into switching nodes. Based on it, we have made a further study about issue of traffic congestion control and scheduling. By introducing PID control model into it, we design a new algorithm, which is called TPID. By this way, we have improved the performance and efficiency to design a traffic congestion control system for a traffic network.

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Available abstract

The structure and function of a traffic transport network are similar to these of a computer network. The former is used for vehicles to run, while the latter is used to transmit data packets. The problem of traffic flow congestion in a traffic network is also similar to that of packet congestion in a computer network. Up to now, there are a lot of researches about the problem of packet congestion control algorithm for a computer network, but while there is a relatively little study about the problem of traffic congestion for a traffic network from the point of whole network in current academia. In order to find a good way to control traffic congestion, learning from theory and technology on computer networks, we have made a comprehensive study about modeling and congestion control algorithm for a transportation network. Firstly, we set up a switching model for whole traffic network and put functions of congestion detection and controlling into switching nodes. Based on it, we have made a further study about issue of traffic congestion control and scheduling. By introducing PID control model into it, we design a new algorithm, which is called TPID. By this way, we have improved the performance and efficiency to design a traffic congestion control system for a traffic network.

Key concepts: Network traffic control, Network congestion, Computer science, Computer network, Traffic generation model, Traffic shaping, Traffic congestion reconstruction with Kerner's three-phase theory, Network traffic simulation

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