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Reversible lane network design for maximizing the coupling measure between demand structure and network structure

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  • Di, Zhen
  • Yang, Lixing

Abstract

This paper investigates demand-originated reversible lane design plans for transportation networks, where the tidal and asymmetrical characteristics of the demand structure are taken into consideration. Compared to traditional network design methods, this reversible lane technique has some advantages. It not only can improve the performance of the considered network by taking full advantage of the potential resources and existing infrastructures but is also easy to operate, returns rapidly, is less costly and requires no additional land. Specifically, this study first defines a coupling measure to quantify the relationship between network structure and demand structure. Then, focusing on maximizing the coupling measure, a nonlinear bilevel mixed-integer programming model is presented to find the optimal lane combination strategy in the considered network from the viewpoint of systematology. For solving the proposed model, we design heuristic algorithms to obtain its approximate optimal solution. Finally, the effectiveness of the proposed approaches is examined on the Sioux Falls network and Beijing main road network.

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  • Di, Zhen & Yang, Lixing, 2020. "Reversible lane network design for maximizing the coupling measure between demand structure and network structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:transe:v:141:y:2020:i:c:s1366554520306724
    DOI: 10.1016/j.tre.2020.102021
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    1. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. Lígia Conceição & Gonçalo Homem de Almeida Correia & José Pedro Tavares, 2020. "The Reversible Lane Network Design Problem (RL-NDP) for Smart Cities with Automated Traffic," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    3. Urbina, Elba & Wolshon, Brian, 2003. "National review of hurricane evacuation plans and policies: a comparison and contrast of state practices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 257-275, March.
    4. Abdulaal, Mustafa & LeBlanc, Larry J., 1979. "Continuous equilibrium network design models," Transportation Research Part B: Methodological, Elsevier, vol. 13(1), pages 19-32, March.
    5. Gao, Ziyou & Sun, Huijun & Shan, Lian Long, 2004. "A continuous equilibrium network design model and algorithm for transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 38(3), pages 235-250, March.
    6. Gao, Ziyou & Wu, Jianjun & Sun, Huijun, 2005. "Solution algorithm for the bi-level discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 39(6), pages 479-495, July.
    7. Poorzahedy, Hossain & Turnquist, Mark A., 1982. "Approximate algorithms for the discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 16(1), pages 45-55, February.
    8. Luathep, Paramet & Sumalee, Agachai & Lam, William H.K. & Li, Zhi-Chun & Lo, Hong K., 2011. "Global optimization method for mixed transportation network design problem: A mixed-integer linear programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 808-827, June.
    9. Wang, Shuaian & Meng, Qiang & Yang, Hai, 2013. "Global optimization methods for the discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 42-60.
    10. Lo, Hong K. & Luo, X.W. & Siu, Barbara W.Y., 2006. "Degradable transport network: Travel time budget of travelers with heterogeneous risk aversion," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 792-806, November.
    11. Di, Zhen & Yang, Lixing & Qi, Jianguo & Gao, Ziyou, 2018. "Transportation network design for maximizing flow-based accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 209-238.
    12. Chiou, Suh-Wen, 2005. "Bilevel programming for the continuous transport network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 39(4), pages 361-383, May.
    13. Benoît Colson & Patrice Marcotte & Gilles Savard, 2007. "An overview of bilevel optimization," Annals of Operations Research, Springer, vol. 153(1), pages 235-256, September.
    14. Tong, Lu & Zhou, Xuesong & Miller, Harvey J., 2015. "Transportation network design for maximizing space–time accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 555-576.
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    2. Zhang, Xiang & Liu, Wei & Levin, Michael & Travis Waller, S., 2023. "Equilibrium analysis of morning commuting and parking under spatial capacity allocation in the autonomous vehicle environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    3. Weiqi Hong & Zishu Yang & Xu Sun & Jianyu Wang & Pengpeng Jiao, 2022. "Temporary Reversible Lane Design Based on Bi-Level Programming Model during the Winter Olympic Games," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    4. Fu, Xiao & Wu, Youqi & Huang, Di & Wu, Jianjun, 2022. "An activity-based model for transit network design and activity location planning in a three-party game framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    5. Wang, Yu & Liu, Haoxiang & Fan, Yinchao & Ding, Jianxun & Long, Jiancheng, 2022. "Large-scale multimodal transportation network models and algorithms-Part II: Network capacity and network design problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    6. Chi Sun & Weiqi Hong & Hao Li & Chenjing Zhou, 2022. "Lane Optimization of Highway Reconstruction and Expansion Work Zone Considering Carbon Dioxide Emission Factors," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    7. Jianrong Cai & Zhixue Li & Yinghong Xiao & Zhaoming Zhou & Qiong Long & Jie Yu & Jinfan Zhang & Lei Zhang, 2023. "Reversible Lane Optimization of the Urban Road Network Considering Adjustment Time Constraints," Sustainability, MDPI, vol. 15(2), pages 1-11, January.

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