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RRCF: an abnormal pulse diagnosis factor for road abnormal hotspots detection

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Abstract

Road hotspots detection method is a key issue in the field of intelligent transportation research. Compared with normal hotspots caused by high traffic flow, abnormal hotspots, which are results of road accidents, perform an occurrence time random behavior and difficult to predict. Deducing from the pulse diagnosis method, in this paper, a region real-time congestion factor is constructed to realize road abnormal hotspots discovery. Taxi’s GPS data of Hangzhou City, China are employed to find abnormal pulse of road segment, while the relationship between proposed congestion factor and the real-time traffic data is discussed. Two accidental scenarios are built to verify the validity of the proposed method. The experiment results show that the proposed method performs well in real-time abnormal hotspot detection and analysis output could be useful in path planning and traffic management.

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Acknowledgements

This research is supported by National Nature Science Foundation of China, Project No. 61601066. Thanks for the Key Laboratory of Advanced Manufacture Technology for Automobile Parts (Chongqing University of Technology), Ministry of Edu- cation, No. 2016KLMT01 and No. 2017KLMT04. Thanks for Fundamental Research Funds for the Central Universities No. 2018CDXYTX0009. The authors especially thank the anonymous reviewers for their insightful comments that resulted in a significantly improved paper.

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Authors and Affiliations

  1. College of Computer Science, ChongQing University, Chongqing, 400044, China

    Lingqiu Zeng & Guangyan He

  2. Key Laboratory of Advanced Manufacture Technology for Automobile, PartsChongqing University of Technology, Ministry of Education, Chongqing, 400054, China

    Lingqiu Zeng & Lei Ye

  3. School of Microelectronics and Communication Engineering, ChongQing University, Chongqing, 400044, China

    Qingwen Han, Sheng Cheng & Lei Ye

  4. State Key Laboratory of Vehicle NVH and Safety Technology, Chongqing, 401122, China

    Qingwen Han

  5. Chongqing Automotive Collaborative Innovation Center, ChongQing University, Chongqing, 400044, China

    XiaoChang Hu

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  1. Lingqiu Zeng
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Correspondence to Qingwen Han.

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Zeng, L., He, G., Han, Q. et al. RRCF: an abnormal pulse diagnosis factor for road abnormal hotspots detection. J Ambient Intell Human Comput 12, 233–243 (2021). https://doi.org/10.1007/s12652-019-01473-1

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