System optimal routing of traffic flows with user constraints using linear programming
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DOI: 10.1016/j.ejor.2020.12.043
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Cited by:
- Eikenbroek, Oskar A.L. & Still, Georg J. & van Berkum, Eric C., 2022. "Improving the performance of a traffic system by fair rerouting of travelers," European Journal of Operational Research, Elsevier, vol. 299(1), pages 195-207.
- Joanna Szkutnik-Rogoż & Jarosław Ziółkowski & Jerzy Małachowski & Mateusz Oszczypała, 2021. "Mathematical Programming and Solution Approaches for Transportation Optimisation in Supply Network," Energies, MDPI, vol. 14(21), pages 1-32, October.
- Sui Ye & Ziqiang Li & Jianchao Xi, 2024. "A Model for Estimating the Tourism Carrying Capacity of a Tourism Corridor: A Case Study of the Qinghai–Tibet Plateau," Sustainability, MDPI, vol. 16(13), pages 1-19, June.
- Fei Han & Jian Wang & Lingli Huang & Yan Li & Liu He, 2023. "Modeling Impacts of Implementation Policies of Tradable Credit Schemes on Traffic Congestion in the Context of Traveler’s Cognitive Illusion," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
- Jarosław Ziółkowski & Aleksandra Lęgas & Elżbieta Szymczyk & Jerzy Małachowski & Mateusz Oszczypała & Joanna Szkutnik-Rogoż, 2022. "Optimization of the Delivery Time within the Distribution Network, Taking into Account Fuel Consumption and the Level of Carbon Dioxide Emissions into the Atmosphere," Energies, MDPI, vol. 15(14), pages 1-22, July.
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Keywords
Traffic; Congestion; Latency function; Constrained system optimum; Linear programming; Piecewise linear approximation;All these keywords.
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