Optimum congestion pricing model of stochastic system with multiple user classes
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摘要: 采用交通网络平衡模型和边际成本收费理论相结合的方法, 建立了内生ATIS市场占有率及弹性需求条件下多用户类型随机系统最优拥挤收费模型, 分析了ATIS与边际成本收费的结合对不同类型用户出行行为的影响。分析结果表明: 阻抗函数对称的边际成本收费模型忽略了出行者对邻近道路用户产生的外部成本, 由此得到的边际成本收费偏小。当装备与未装备ATIS用户的出行成本感知变化参数分别为0.50与0.01时, 与不采取任何交通管理措施相比, ATIS与边际成本收费同时使用可以使网络总运行成本节省14.3%, 单独使用ATIS或边际成本收费可以使网络总运行成本节省13.6%或6.3%, 说明2种技术的结合可以有效优化网络运行效率。
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关键词:
- 交通工程 /
- 随机系统最优拥挤收费 /
- 出行者信息系统 /
- 市场占有率 /
- 阻抗函数
Abstract: Traffic network equilibrium model and marginal cost pricing (MCP) theory were combined, an optimum congestion pricing model of stochastic system with multiple user classes under the endogenous market share of advanced traveller information systems (ATIS) and demand elasticity was established, and the influences of the joint implementation of ATIS and MCP on different users' travel behaviours were analyzed. Analysis result indicates that MCP models with symmetric impedance function neglect external costs that travellers impose on users on nearby roads, and the obtained MCP is smaller than the real value. When the parameters of travel cost perception variations for equipped and unequipped ATIS users are 0.50 and 0.01 respectively, compared to none of traffic management measures being taken, the joint implementation of ATIS and MCP can save 14.3% of total network travel cost, and the separate implementation of ATIS or MCP can save 13.6% or 6.3% of total network travel cost respectively. So network operation performance can be optimized efficiently by the joint implementation of the two technologies. -
图 6 装备ATIS的第1类用户的网络平均运行时间
Figure 6. Network average travel times of first class users with ATIS
图 7 未装备ATIS的第1类用户的网络平均运行时间
Figure 7. Network average travel times of first class users without ATIS
图 8 装备ATIS的第2类用户的网络平均运行时间
Figure 8. Network average travel times of second class users with ATIS
图 9 未装备ATIS的第2类用户的网络平均运行时间
Figure 9. Network average travel times of second class users without ATIS
图 10 装备ATIS的第3类用户的网络平均运行时间
Figure 10. Network average travel times of third class users with ATIS
图 11 未装备ATIS的第3类用户的网络平均运行时间
Figure 11. Network average travel times of third class users without ATIS
图 12 装备ATIS的不同类用户的平均运行时间节省率
Figure 12. Average travel time saving rates of different class users with ATIS
表 1 路段输入参数
Table 1. Input parameters of road sections
路段 t/min Ya/ (pcu·h-1) 1 1.00 2 200 v1+0.25v5+0.25v6 2 1.00 2 200 v2+0.15v3+0.15v7+0.15v8 3 1.00 2 200 v3+0.15v2+0.15v7+0.15v8 4 1.75 2 200 v4+0.15v8+0.15v9+0.15v10 5 2.50 2 000 v5+0.25v17+0.25v19 6 1.00 2 000 v6+0.15v7+0.15v11+0.15v12 7 1.00 2 000 v7+0.15v6+0.15v11+0.15v12 8 1.00 2 000 v8+0.15v4+0.15v9+0.15v10 9 1.00 2 000 v9+0.25v12+0.25v13 10 1.75 2 000 v10+0.50v14 11 1.00 2 000 v11+0.25v15+0.25v17 12 1.00 2 000 v12+0.25v9+0.25v13 13 1.00 2 000 v13+0.15v15+0.15v16+0.15v18 14 1.00 2 200 v14+0.5v16 15 1.00 2 000 v15+0.15v13+0.15v16+0.15v18 16 1.00 2 200 v16+0.50v14 17 1.00 2 000 v17+0.25v5+0.25v19 18 1.00 2 200 v18+0.50v19 19 1.00 2 200 v19+0.50v18 
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[1] 陈传德, 赵文义. 基于级差效益的公路收费定价模型[J]. 长安大学学报: 自然科学版, 2009, 29 (4): 39-42. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200904008.htmCHEN Chuan-de, ZHAO Wen-yi. Toll road pricing model based on differential benefit[J]. Journal of Chang an Univer-sity: Natural Science Edition, 2009, 29 (4): 39-42. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200904008.htm [2] 刘伟铭, 姜山, 付凌峰. 多车型高速公路离散平衡网络设计的双层规划模型[J]. 中国公路学报, 2008, 21 (1): 94-99. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200801018.htmLI U Wei-ming, JI ANG Shan, FU Ling-feng. Bi-level program model for multi-type freeway discrete equilibrium net-work design[J]. China Journal of Highway and Transport, 2008, 21 (1): 94-99. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200801018.htm [3] 史峰, 李志纯. 网络扩容和拥挤道路使用收费的组合模型及求解算法[J]. 中国公路学报, 2003, 16 (2): 90-94. doi: 10.3321/j.issn:1001-7372.2003.02.023SHI Feng, LI Zhi-chun. Combined model and algorithm of expanding network capacity and road pricing[J]. China Journalof Highway and Transport, 2003, 16 (2): 90-94. (in Chinese) doi: 10.3321/j.issn:1001-7372.2003.02.023 [4] 李瑞敏, 陆化普. 基于遗传算法的交通信号控制多目标优化[J]. 长安大学学报: 自然科学版, 2009, 29 (3): 85-88. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200903018.htmLI Rui-min, LU Hua-pu. Traffic signal control multi-object optimization based on genetic algorithm[J]. Journal ofChang an University: Natural Science Edition, 2009, 29 (3): 85-88. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200903018.htm [5] 钟绍鹏, 邓卫. 动态多用户类型和多模式拥挤收费模型[J]. 东南大学学报: 自然科学版, 2008, 38 (5): 866-872. doi: 10.3321/j.issn:1001-0505.2008.05.024ZHONG Shao-peng, DENG Wei. Dynamic traffic congestion pricing model for multi-class and multi-mode systems[J]. Journal of Southeast University: Natural Science Edition, 2008, 38 (5): 866-872. (in Chinese) doi: 10.3321/j.issn:1001-0505.2008.05.024 [6] 姚红云, 张小宁, 孙立军. 弹性需求下多类型用户拥挤收费模型[J]. 中国公路学报, 2008, 21 (6): 102-108. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200806016.htmYAO Hong-yun, ZHANG Xiao-ning, SUN Li-jun. Multi-class-based user congestion pricing model under elastic demand[J]. China Journal of Highway and Transport, 2008, 21 (6): 102-108. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200806016.htm [7] 王健, 安实, 徐亚国. 道路拥挤定价下的公交收费模型研究[J]. 中国公路学报, 2005, 18 (4): 100-103, 118. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200504020.htmWANGJan, AN Shi, XU Ya-guo. Study of bus toll modelunder urban road congestion pricing[J]. China Journal ofHighway and Transport, 2005, 18 (4): 100-103, 118. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200504020.htm [8] YANG Hai. Evaluating the benefits of a combined route guidance and road pricing systemin a traffic network withrecurrent congestion[J]. Transportation, 1999, 26 (3): 299-322. [9] HUANG Hai-jun, LI Zhi-chun. A multiclass, multicriteria logit-based traffic equilibrium assignment model under ATIS[J]. European Journal of Operational Research, 2007, 176 (3): 1464-1477. [10] YANG Hai. System opti mum, stochastic user equilibrium, and opti mal link tolls[J]. Transportation Science, 1999, 33 (4): 354-360. [11] MAHER M, STEWART K, ROSA A. Stochastic socialopti mum traffic assignment[J]. Transportation ResearchPart B: Methodological, 2005, 39 (8): 753-767. [12] YANG Hai. Multiple equilibrium behaviors and advancedtraveler information systems with endogenous market pene-tration[J]. Transportation Research Part B: Methodological, 1998, 32 (3): 205-218. [13] LI Zhi-chun, HUANG Hai-jun, XIONG Yi. Mixed equilibriumbehavior and market penetration with global demand elasticityunder advanced traveler information systems[C]∥IEEE. Proceedings of the IEEE 6th International Conference onIntelligent Transportation Systems. New York: IEEE, 2003: 506-509. [14] ZHONG Shao-peng, DENG Wei. Dynamic congestion pricingfor multi-class and multi-modes transportation systems withasymmetric cost functions[C]∥TRB. TRB 88th AnnualMeeting. Washington DC: TRB, 2009: 1-17. [15] MENG Qiang, LEE D H, CHEU R L, et al. Logit-basedstochastic user equilibrium problem for entry-exit tollschemes[J]. Journal of Transportation Engineering, 2004, 130 (6): 805-813. [16] YANG Hai, HUANG Hai-jun. The multi-class, multi-criteriatraffic network equilibriumand systems opti mum problem[J]. Transportation Research Part B: Methodological, 2004, 38 (1): 1-15. [17] 俞礼军, 徐建闽. 中小城市起讫点(OD) 调查最优抽样量模型[J]. 长安大学学报: 自然科学版, 2008, 28 (1): 92-96. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200801019.htmYU Li-jun, XU Jian-min. Opti mum sampling model of ODsurvey in medium and small cities[J]. Journal of Changan University: Natural Science Edition, 2008, 28 (1): 92-96. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200801019.htm [18] 南春丽, 严宝杰, 欧严严, 等. 城市交通组织优化仿真模型的参数估计新方法[J]. 长安大学学报: 自然科学版, 2007, 27 (5): 84-88. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200705020.htmNAN Chun-li, YAN Bao-jie, OU Yan-yan, et al. Parameter estimation new algorithms in static si mulation models forurban traffic organization and opti mization[J]. Journal ofChang an University: Natural Science Edition, 2007, 27 (5): 84-88. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200705020.htm -
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