[1] 李妍峰,高自友,李军.基于实时交通信息的城市动态网络车辆路径优化问题[J].系统工程理论与实践,2013,33(7):1813-1819. [2] 张敖木翰,高自友.突发事故下交通拥堵控制策略设计[J].系统工程理论与实践,2013,33(5):1307-1317. [3] 张宁.城市规模与城市交通发展的系统分析方法[J].系统工程理论与实践,2005,25(8):136-139. [4] Walters A A. The theory and measurement of private and social cost of highway congestion[J]. Econometrical, 1994, 29(4): 676-699. [5] Han L H, Wang D Z W, Lo H K, Zhu C J, Cai X J. Discrete-time day-to-day dynamic congestion pricing scheme considering multiple equilibria [J]. Transportation Research Part B, 2017, 104: 1-16. [6] Laval J A, Cho H W, Mu?oz J C, Yin Y F. Real-time congestion pricing strategies for toll facilities[J]. Transportation Research Part B, 2015, 71: 19-31. [7] Wen L, atay B, Eglese R. Finding a minimum cost path between a pair of nodes in a time-varying road network with a congestion charge[J]. European Journal of Operational Research, 2014, 236(3): 915-923. [8] Olszewski P, Xie L. Modelling the effects of road pricing on traffic in singapore[J]. Transportation Research Part A, 2005, 39: 755-772. [9] Eliasson J, Hultkrantz L, Nerhagen L, Rosqvist L S. The stockholm congestion-charging trial 2006: overview of effects[J]. Transportation Research Part A, 2009, 43(3): 240-250. [10] Eliasson J. The role of attitude structures, direct experience and reframing for the success of congestion pricing[J]. Transportation Research Part A, 2014, 67: 81-95. [11] B rjesson M, Eliasson J, Hamilton C. Why experience changes attitudes to congestion pricing: the case of gothenburg[J]. Transportation Research Part A, 2016, 85: 1-16. [12] Cen X, Lo H, Li L. A framework for estimating traffic emissions: the development of passenger car emission Unit[J]. Transportation Research Part D, 2016, 44: 78-92. [13] Rakowska A, Wong K C, Townsend T, et al. Impact of traffic volume and composition on the air quality and pedestrian exposure in urban street canyon[J]. Atmospheric Environment, 2014, 98: 260-270. [14] 钟绍鹏,邓卫,包丹文.考虑AITS市场占有率及遵从率的随机系统最优拥挤收费模型[J].系统工程理论与实践,2013,33(2):456-462. [15] Chung B D, Yao T, Friesz T L, Liu H C. Dynamic congestion pricing with demand uncertainty: a robust optimization approach[J]. Transportation Research Part B, 2012, 46: 1504-1518. [16] 张宏,任芳敏,郑荣贝.基于系统动力学的高速公路维护管理系统仿真研究[J].系统仿真学报,2016,28(3): 676-682. [17] 朱庆华,王一雷,田一辉.基于系统动力学的地方政府与制造企业碳减排演化博弈分析[J].运筹与管理,2014,23(3):71-82. [18] 马永红,王展昭,李欢,周文.网络结构、采纳者偏好与创新扩散:基于采纳者决策过程的创新扩散系统动力学模型仿真分析[J].运筹与管理,2016,25(3):106-116. [19] 彭本红,谷晓芬,鲁倩.服务型制造项目治理中利益相关者演化博弈研究[J].系统仿真学报,2017,29(3):595-617. [20] 钟永光,钱颖,尹凤福,周晓东.激励居民参与环保化回收废弃家电及电子产品的系统动力学模型[J].系统工程理论与实践,2010,30(4):709-722. [21] 杨浩雄,李金丹,张浩,刘淑芹.基于系统动力学的城市交通拥堵治理问题研究[J].系统工程理论与实践,2014,34(8):2135-2143. [22] 朱明皓.城市交通拥堵的社会经济影响分析[D].北京交通大学,2013. [23] 贾书伟,严广乐.Q-EUGSID的优化算法及应用[J].计算机应用研究,2016,33(11):3353-3357. [24] 刘思峰,杨英杰,吴利丰.灰色系统理论及应用[M].北京:科学出版社,2014. |