Translating research to practice: Implementing real-time control on high-frequency transit routes
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DOI: 10.1016/j.tra.2018.03.008
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References listed on IDEAS
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Cited by:
- Martínez-Estupiñan, Yerly & Delgado, Felipe & Muñoz, Juan Carlos & Watkins, Kari E., 2023. "Improving the performance of headway control tools by using individual driving speed data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
- Kent, Jennifer L. & Mulley, Corinne & Stevens, Nick, 2020. "Challenging policies that prohibit public transport use: Travelling with pets as a case study," Transport Policy, Elsevier, vol. 99(C), pages 86-94.
- Weiya Chen & Ying Chen & Yufen Wang & Xiaoping Fang, 2024. "Bus Drivers’ Behavioral Intention to Comply with Real-Time Control Instructions: An Empirical Study from China," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
- Gkiotsalitis, K. & Cats, O., 2021. "At-stop control measures in public transport: Literature review and research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
- Wang, Pengfei & Chen, Xuewu & Zheng, Yue & Cheng, Long & Wang, Yinhai & Lei, Da, 2021. "Providing real-time bus crowding information for passengers: A novel policy to promote high-frequency transit performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 316-329.
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Keywords
Public Transportation; Holding method; Real-time; Prediction; Control strategy; Passenger wait; Bus bunching; Implementation;All these keywords.
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