The 1st International ICST Workshop on the Internet of Things: Opportunities and Challenges

Research Article

Multi-objective model reference adaptive bus priority based on RFID

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  • @INPROCEEDINGS{10.4108/iwiot.2010.6,
        author={Guangyuan Wang and Guozhen Tan and Yaodong Wang},
        title={Multi-objective model reference adaptive bus priority based on RFID},
        proceedings={The 1st International ICST Workshop on the Internet of Things: Opportunities and Challenges},
        publisher={IEEE},
        proceedings_a={IWIOT},
        year={2011},
        month={1},
        keywords={Adaptation model Control systems Delay Optimization Radiofrequency identification Vehicles},
        doi={10.4108/iwiot.2010.6}
    }
    
  • Guangyuan Wang
    Guozhen Tan
    Yaodong Wang
    Year: 2011
    Multi-objective model reference adaptive bus priority based on RFID
    IWIOT
    IEEE
    DOI: 10.4108/iwiot.2010.6
Guangyuan Wang1,*, Guozhen Tan1,*, Yaodong Wang1,*
  • 1: School of Computer Sci.&Tech., Dalian University of Technology, Dalian 116024, P.R.China
*Contact email: dllgwgy@gmail.com, gztan@dlut.edu.cn, wyaodong@126.com

Abstract

A critical issue encountered in implementing a bus signal priority system is to ensure a trade-off between the delay of a bus and the surrounding traffic. Traditional BSP methods treat buses uniformly so that an empty bus may have the same priority to the full loaded bus, and lead to an excessive delay for private traffic. However, with RFID technique, a control model can realize delicate control mode by identifying and acquiring more detailed, real-time and dynamic data on the bus. Hence, An intelligent method for determing bus priority based on RFID is proposed, assuming two-objective optimization of both on-bus passengers' total delay and private vehicles total delay. The result is a considerable reduction in private traffic delay with higher traffic volume when using bus signal priority. What's more, the proposed control method could also be applied to the coordination of similar complex cyber-physical systems.