Rethinking bus punctuality by integrating Automatic Vehicle Location data and passenger patterns
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DOI: 10.1016/j.tra.2015.03.012
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Cited by:
- Ulrik Berggren & Carmelo D’Agostino & Helena Svensson & Karin Brundell-Freij, 2022. "Intrapersonal variability in public transport path choice due to changes in service reliability," Transportation, Springer, vol. 49(6), pages 1517-1547, December.
- Benedetto Barabino & Nicola Aldo Cabras & Claudio Conversano & Alessandro Olivo, 2020. "An Integrated Approach to Select Key Quality Indicators in Transit Services," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 1045-1080, June.
- Rusul Abduljabbar & Hussein Dia & Sohani Liyanage & Saeed Asadi Bagloee, 2019. "Applications of Artificial Intelligence in Transport: An Overview," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
- Liping Ge & Malek Sarhani & Stefan Voß & Lin Xie, 2021. "Review of Transit Data Sources: Potentials, Challenges and Complementarity," Sustainability, MDPI, vol. 13(20), pages 1-37, October.
- Ramli, Muhamad Azfar & Jayaraman, Vasundhara & Kwek, Hyen Chee & Tan, Kian Heong & Lee Kee Khoon, Gary & Monterola, Christopher, 2018. "Improved estimation of commuter waiting times using headway and commuter boarding information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 217-226.
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Keywords
Transit network; Punctuality measure; AVL raw data; Wealth of data; Service quality;All these keywords.
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