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基于实物期权的离散交通网络设计模型

Keywords: 交通工程,离散交通网络设计,实物期权,需求不确定,双层模型

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Abstract:

为了克服传统4阶段法中对于现实条件的不合理假设,以需求不确定性为基本前提,将优化方案分为动态策略和静态策略2种,以成本回收和路段更新为约束条件,使用实物期权解决了优化策略灵活性价值的问题,给出了考虑时间因素的不确定优化模型,同时确定了交通网络的最终形态和建设序列,克服了传统网络优化不考虑决策方案灵活性的问题。随后使用基于最小二乘蒙特卡洛、遗传算法的网络优化模型的求解方法,实现了对问题的有效求解,并给出了算例。NguyenDupuis网络的计算结果表明(1)实物期权可以有效地描述建设方案的灵活性,提高决策的合理性;(2)期权的价值随着需求波动性的增加而提高,建设方案也会提前;(3)实物期权更加符合交通建设适度超前的概念。

References

[1]  JIANG Y. Traffic Characteristics and Estimation of TrafficDelays and User Costs at Indiana Freeway Work Zone,FHWA/INDOT/SPR- 2121 [R]. Indianapolis: IndianaDepartment of Transportation, 1999.
[2]  JIANG X M,ADELI H. Freeway Work Zone Traffic Delayand Cost Optimization Model [J ]. Journal ofTransportation Engineering, 2003,129 (3): 230-241.
[3]  JIANG X M, ADELI H. Object-oriented Model forFreeway Work Zone Capacity and Queue Delay Estimation[J]. Computer-aided Civil and Infrastructure Engineering,2004,19 (2): 144-156.
[4]  卞伟. 考虑混合交通影响的城镇道路路段养护方案优化研究 [D]. 北京: 清华大学,2008.BIAN Wei. Optimization for Two-lane Urban RoadMaintenance Scheme with Consideration of Mixed Traffic[D]. Beijing: Tsinghua University,2008.
[5]  张翛,蔡晓禹,孙立军. 高速公路作业区交通流的运动学波分析 [J]. 公路交通科技,2007,24 (3):98-101.ZHANG Xiao,CAI Xiao-yu,SUN Li-jun. Analysis ofExpressway Work Zone Traffic Flow Based on KinematicWave Model [J]. Journal of Highway and TransportationResearch and Development, 2007, 24 (3): 98-101.
[6]  林航飞,付强,张红军,等. 基于延误的公路施工区重型车辆影响规律 [J]. 同济大学学报: 自然科学版,2008, 36 (3): 335-349.LIN Hang-fei,FU Qiang,ZHANG Hong-jun,et al.Influence of Heavy Vehicles on Traffic Flow in HighwayWork Zone Based on Delay Analysis [J]. Journal ofTongji University: Natural Science Edition,2008,36(3): 335-349.
[7]  SIMPSON A L,THOMPSON T. Long-Term PavementPerformance Maintenance and Rehabilitation DataCollection Guide,Report No. FHWA-HRT-06-068 [R].Beltsville: MACTEC Engineering and Consulting,Inc,2006
[8]  LO H K, SZETO W Y. Time-dependent TransportNetwork Design under Cost-recovery [J]. TransportationResearch Part B: Methodological, 2009, 43 (1): 142-158.
[9]  KIM B J, KIM W, SONG B H. Sequencing andScheduling Highway Network Expansion Using a DiscreteNetwork Design Model [J]. Annals of Regional Science,2008, 42 (3): 621-642.
[10]  UKKUSUI S V,PATIL G. Multi-period TransportationNetwork Design under Demand Uncertainty [J].Transportation Research Part B: Methodological, 2009, 43(6): 625-642.
[11]  MORLOK E K, CHANG D J. Measuring CapacityFlexibility of a Transportation System [J]. TransportationResearch Part A: Policy and Practice,2004,38 (6):405-420.
[12]  PATIL G R,UKKUSURI S V. Modeling Flexibility inStochastic Transportation Network Design [C/CD] ∥Proceedings of Transportation Research Board 86th AnnualMeeting. Wanshington,D. C. : Transportation ResearchBoard, 2007.
[13]  DAMNJANOVIC I,DUTHIE J,WALLER S T. Valuationof Strategic Network Flexibility in Development of TollRoad Projects [J]. Construction Management andEconomics, 2008, 26 (9): 979-990Meeting. Washington,D. C. : Transportation ResearchBoard, 1992.
[14]  ROUPHAIL N M,YANG Z S,FAZIO J. ComparativeStudy of Short and Long Term Urban Freeway Work Zones[M]. Washington, D. C. : Transportation ResearchBoard, 1988.
[15]  KRAMMERS R A,LOPEZ G O. Updated Capacity Valuesfor Short-term Freeway Work Zone Lane Closures [M].Washington D. C. : Transportation Research Board,1994.

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