A fast simulation algorithm for multiple moving bottlenecks and applications in urban freight traffic management
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DOI: 10.1016/j.trb.2017.06.010
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Cited by:
- Čičić, Mladen & Johansson, Karl Henrik, 2022. "Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 212-236.
- Chubo Xu & Jianxiao Ma & Xiang Tang, 2022. "A Simulation-Based Study of the Influence of Low-Speed Vehicles on Expressway Traffic Safety," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
- Wanjie Hu & Jianjun Dong & Bon-gang Hwang & Rui Ren & Zhilong Chen, 2019. "A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
- Martin Černý & Jaroslav Jánský & Ondřej Prchal, 2018. "New Layout of the Main Network in the Vysočina Region," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2018(2), pages 3-23.
- Shailesh Chandra & Timothy Thai, 2022. "Analyzing Freight Truck Platoon Accessibility with Route Deviations," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
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Keywords
Moving bottlenecks; LWR model; Semi-analytic algorithm; Urban freight traffic; Freight traffic management;All these keywords.
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