[1] NAKAYAMA S, KITAMURA R, FUJII S. Drivers’ learning and network behavior: A dynamic analysis of the driver-network system as a complex system[J].Transportation Research Record, 1999(1676): 30-36.
[2] NAKAYAMA S, KITAMURA R. A route choice model with inductive learning[J]. Transportation Research Record, 2000(1725): 63-70.
[3] NAKAYAMA S, KITAMURA R, FUJII S. Drivers’route choice rules and network behavior: Do drivers become rational and homogeneous through learning?[J]. Transportation Research Record, 2001(1752): 62-68.
[4] SIMON H A. Behavioral model of rational choice[J]. Quarterly Journal of Economics, 1955(69): 99-120.
[5] MAHMASSANI H S, CHANG G. On boundedly rational user equilibrium in transportation systems[J]. Transportation Science, 1987, 21(2): 89-99.
[6] ZHANG L. Behavioral foundation of route choice and traffic assignment[J]. Transportation Research Record, 2011(2254): 1-10.
[7] 刘诗序, 关宏志. 出行者有限理性下的逐日路径选择行为和网络交通流演化[J]. 土木工程学报,2013,46 (12): 136-144. [LIU S X, GUAN H Z. Travelers’dayto- day route-choice behavior and evolution of network traffic flow based on bounded rationality[J]. China Civil Engineering Journal, 2013, 46(12): 136-144.]
[8] LOU Y, YIN Y, LAWPHONGPANICH S. Robust congestion pricing under boundedly rational user equilibrium[J]. Transportation Research Part B, 2010, 44 (1): 15-28.
[9] GUO X, LIU H X. Bounded rationality and irreversible network change[J]. Transportation Research Part B, 2011, 45(10): 1606-1618.
[10] HAN K, SZETO W Y, FRIESZ T L. Formulation, existence, and computation of boundedly rational dynamic user equilibrium with fixed or endogenous user tolerance[J]. Transportation Research Part B, 2015(79): 16-49.
[11] AVINERI E. The effect of reference point on stochastic network equilibrium[J]. Transportation Science, 2006, 40(4): 409-420.
[12] 张杨, 贾建民, 黄庆. 城市交通中车辆择路行为实证研究[J]. 管理科学学报, 2007, 22(5): 78-85. [ZHANG Y, JIA J M, HUANG Q. Vehicle routing choice in urban traffic[J]. Journal of Management Sciences in China, 2007, 22(5): 78-85.]
[13] 张杨. 不确定性对城市交通出行者路径选择的影响[J]. 交通运输工程学报, 2010, 10(5): 77- 80. [ZHANG Y. Impact of uncertainty on traveler route choice in urban traffic[J]. Journal of Traffic and Transportation Engineering, 2010, 10(5): 77-80.]
[14] BAO Y, GAO Z Y, XU M, et al. Tradable credit scheme for mobility management considering travelers’ loss aversion[J]. Transportation Research Part E, 2014(68): 138-154.
[15] 刘玉印, 刘伟铭, 吴建伟. 基于累积前景理论的出行者路径选择模型[J]. 华南理工大学学报, 2010, 38(7): 84-89. [LIU Y Y,LIU W M,WU J W. Route choice model of traveler based on cumulative prospect theory[J]. Journal of South China University of Technology, 2010, 38(7): 84-89.]
[16] 田丽君, 黄海军, 王昕. 考虑到达时间感知价值的静态网络均衡模型[J]. 系统工程理论与实践, 2015(6): 1493-1500. [TIAN L J,HUANG H J,WANG X. The static network equilibrium model considering the arrival time perceived value[J]. Systems Engineering-Theory & Practice, 2015(6): 1493-1500.]
[17] 徐红利, 于新莲, 周晶. 诱导信息下考虑路段容量退化的流量演化研究[J]. 管理科学学报, 2015, 18(7): 39- 47. [XU H L, YU X L, ZHOU J. Day- to- day travel choice dynamic with guidance information in degradable transport network[J]. Journal of Management Sciences in China, 2015, 18(7): 39-47.]
[18] 杨志勇. 基于前景理论的出发时刻和出行路径选择模型研究[D]. 哈尔滨: 哈尔滨工业大学, 2007. [YANG Z Y. Model research of departure time and travel route choice based on prospect theory[D]. Harbin: Harbin Institute of Technology, 2007.]
[19] 陈玲娟, 王殿海, 代炯. 考虑出发时刻调整的日变路网配流模型[J]. 交通运输系统工程与信息, 2015, 15(6): 190-196. [CHEN L J,WANG D H,DAI J. Day-to-day traffic flow assignment model considering departure time adjustment[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(6): 190-196.]
[20] 刘天亮, 黄海军. 日常择路行为的多智能体模拟[J]. 物理学报, 2007, 56(11): 6321-6325. [LIU T L, HUANG H J. Multi-agent simulation on day-to-day route choice behavior[J]. Acta. Physica. Sinica, 2007, 56(11): 6321- 6325.] |