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An improved headway-based holding strategy for bus transit

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  • Bin Yu
  • Jin-bao Yao
  • Zhong-Zhen Yang

Abstract

This paper presents an improved headway-based holding strategy integrating bus transit travel and dwelling time prediction. A support vector machine-based (SVM) model is developed to predict the baseline travel and dwell times of buses based on recent data. In order to reduce prediction errors, an adaptive algorithm is used together with real-time bus operational information and estimated baseline times from SVM models. The objective of the improved holding strategy is to minimize the total waiting times of passengers at the current stop and at successive stops. Considering the time-varying features of bus running, a ‘forgetting factor’ is introduced to weight the most recent data and reduce the disturbance from unexpected incidents. Finally, the improved holding strategy proposed in this study is illustrated using the microscopic simulation model Paramics and some conclusions are drawn.

Suggested Citation

  • Bin Yu & Jin-bao Yao & Zhong-Zhen Yang, 2010. "An improved headway-based holding strategy for bus transit," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(3), pages 329-341, January.
    • Handle: RePEc:taf:transp:v:33:y:2010:i:3:p:329-341
    DOI: 10.1080/03081061003732417
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    References listed on IDEAS

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    1. Abdulhai, Baher & Sheu, Jiuh-Biing & Recker, Will, 1999. "Simulation of ITS on the Irvine FOT Area Using "Paramics 1.5" Scalable Microscopic Traffic Simulator: Phase I: Model Calibration and Validation," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2ks86938, Institute of Transportation Studies, UC Berkeley.
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