Which road do I take? A learning-based model of route-choice behavior with real-time information
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[1] E. Thorndike. “Animal Intelligence” , 1898, Nature.
[2] E. Thorndike. Animal intelligence : an experimental study of the associative processes in animals / by Edward L. Thorndike. , .
[3] J. M. Blackburn. The acquisition of skill : an analysis of learning curves , 1936 .
[4] J. Neumann,et al. Theory of games and economic behavior , 1945, 100 Years of Math Milestones.
[5] D. Bernoulli. Exposition of a New Theory on the Measurement of Risk , 1954 .
[6] Steven Vajda,et al. Games and Decisions. By R. Duncan Luce and Howard Raiffa. Pp. xi, 509. 70s. 1957. (J Wiley & Sons) , 1959, The Mathematical Gazette.
[7] J. Halton. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals , 1960 .
[8] A. Tversky,et al. Judgment under Uncertainty: Heuristics and Biases , 1974, Science.
[9] Carlos F. Daganzo,et al. On Stochastic Models of Traffic Assignment , 1977 .
[10] A. Tversky,et al. Prospect theory: analysis of decision under risk , 1979 .
[11] A. Tversky,et al. Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .
[12] J. Boyd,et al. THE EFFECT OF FUEL ECONOMY STANDARDS ON THE U.S. AUTOMOTIVE MARKET: AN HEDONIC DEMAND ANALYSIS , 1980 .
[13] N. S. Cardell,et al. Measuring the societal impacts of automobile downsizing , 1980 .
[14] H. Simon,et al. Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .
[15] J. Horowitz. The stability of stochastic equilibrium in a two-link transportation network , 1984 .
[16] Mark D. Uncles,et al. Discrete Choice Analysis: Theory and Application to Travel Demand , 1987 .
[17] C. Chu. A PAIRED COMBINATORIAL LOGIT MODEL FOR TRAVEL DEMAND ANALYSIS , 1989 .
[18] Moshe Ben-Akiva,et al. Estimation of switching models from revealed preferences and stated intentions , 1990 .
[19] A. Tversky,et al. Advances in prospect theory: Cumulative representation of uncertainty , 1992 .
[20] J. Townsend,et al. Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.
[21] Tom van Vuren,et al. THE MODELLING OF DYNAMIC ROUTE GUIDANCE SYSTEMS , 1993 .
[22] Jian L. Zhou,et al. User's Guide for CFSQP Version 2.0: A C Code for Solving (Large Scale) Constrained Nonlinear (Minimax) Optimization Problems, Generating Iterates Satisfying All Inequality Constraints , 1994 .
[23] I. Mayeres,et al. THE MARGINAL EXTERNAL COSTS OF URBAN TRANSPORT , 1996 .
[24] E. Cascetta,et al. A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS , 1996 .
[25] Peter Bonsall,et al. Driver response to variable message signs: a stated preference investigation , 1997 .
[26] Peter Vovsha,et al. Application of Cross-Nested Logit Model to Mode Choice in Tel Aviv, Israel, Metropolitan Area , 1997 .
[27] Mohamed Abdel-Aty,et al. USING STATED PREFERENCE DATA FOR STUDYING THE EFFECT OF ADVANCED TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE , 1997 .
[28] Shlomo Bekhor,et al. Link-Nested Logit Model of Route Choice: Overcoming Route Overlapping Problem , 1998 .
[29] Chandra R. Bhat,et al. ACCOMMODATING FLEXIBLE SUBSTITUTION PATTERNS IN MULTI-DIMENSIONAL CHOICE MODELING: FORMULATION AND APPLICATION TO TRAVEL MODE AND DEPARTURE TIME CHOICE , 1998 .
[30] Shlomo Bekhor,et al. Investigation of Stochastic Network Loading Procedures , 1998 .
[31] Chandra R. Bhat,et al. Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling , 1998 .
[32] M. Bierlaire,et al. Discrete Choice Methods and their Applications to Short Term Travel Decisions , 1999 .
[33] K. Train,et al. Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles , 1999, Controlling Automobile Air Pollution.
[34] Bas Tutert,et al. Evaluating Networkwide Effects of Variable Message Signs in the Netherlands , 1999 .
[35] C. Bhat. An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey , 1999 .
[36] Hani S. Mahmassani,et al. Role of Congestion and Information in Trip-Makers’ Dynamic Decision Processes: Experimental Investigation , 1999 .
[37] Antonino Vitetta,et al. IMPLICIT AVAILABILITY/PERCEPTION LOGIT MODELS FOR ROUTE CHOICE IN TRANSPORTATION NETWORKS , 1999 .
[38] J. Herriges,et al. Valuing Recreation and the Environment , 1999 .
[39] Hani S. Mahmassani,et al. DYNAMICS OF COMMUTING DECISION BEHAVIOR UNDER ADVANCED TRAVELER INFORMATION SYSTEMS , 1999 .
[40] Randolph W. Hall,et al. Handbook of transportation science , 1999 .
[41] C. Bhat. Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model , 2001 .
[42] David A. Hensher,et al. Handbook of Transport Modelling , 2000 .
[43] A. Tversky,et al. Choices, Values, and Frames , 2000 .
[44] Satoshi Fujii,et al. Anticipated Travel Time, Information Acquisition, and Actual Experience: Hanshin Expressway Route Closure, Osaka-Sakai, Japan , 2000 .
[45] K. Train. Halton Sequences for Mixed Logit , 2000 .
[46] D. McFadden,et al. MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .
[47] Chandra R. Bhat,et al. Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling , 2000, Transp. Sci..
[48] F. Koppelman,et al. The paired combinatorial logit model: properties, estimation and application , 2000 .
[49] Joan L. Walker. Extended discrete choice models : integrated framework, flexible error structures, and latent variables , 2001 .
[50] J. March,et al. Adaptation as Information Restriction: The Hot Stove Effect , 2001 .
[51] S. Bekhor,et al. Stochastic User Equilibrium Formulation for Generalized Nested Logit Model , 2001 .
[52] T. Gärling,et al. Perspectives on Travel Behaviour , 2001 .
[53] F. Koppelman,et al. The generalized nested logit model , 2001 .
[54] Shlomo Bekhor,et al. Adaptation of Logit Kernel to Route Choice Situation , 2002 .
[55] Donald L. Fisher,et al. Risk Attitude Reversals in Drivers' Route Choice When Range of Travel Time Information Is Provided , 2002, Hum. Factors.
[56] David A. Hensher,et al. The Mixed Logit Model: the State of Practice and Warnings for the Unwary , 2001 .
[57] C. Bhat. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .
[58] Hani S. Mahmassani,et al. Analyzing heterogeneity and unobserved structural effects in route-switching behavior under ATIS: a dynamic kernel logit formulation , 2003 .
[59] Michel Bierlaire,et al. BIOGEME: a free package for the estimation of discrete choice models , 2003 .
[60] Erel Avineri,et al. Sensitivity to Uncertainty: Need for a Paradigm Shift , 2003 .
[61] Thomas Pitz,et al. Experiments and Simulations on Day-to-Day Route Choice-Behaviour , 2003, SSRN Electronic Journal.
[62] I. Erev,et al. Small feedback‐based decisions and their limited correspondence to description‐based decisions , 2003 .
[63] Mohamed Abdel-Aty,et al. Modeling drivers' diversion from normal routes under ATIS using generalized estimating equations and binomial probit link function , 2004 .
[64] Ryuichi Kitamura,et al. Reference Points in Commuter Departure Time Choice: A Prospect Theoretic Test of Alternative Decision Frames , 2004, J. Intell. Transp. Syst..
[65] S. Bekhor,et al. Route Choice Models Used in the Stochastic User Equilibrium Problem: A Review , 2004 .
[66] I. Erev,et al. On adaptation, maximization, and reinforcement learning among cognitive strategies. , 2005, Psychological review.
[67] Serge P. Hoogendoorn,et al. Joint Modeling of Advanced Travel Information Service, Habit, and Learning Impacts on Route Choice by Laboratory Simulator Experiments , 2005 .
[68] Hjp Harry Timmermans,et al. Costs of Travel Time Uncertainty and Benefits of Travel Time Information: Conceptual Model and Numerical Examples , 2006 .
[69] Joseph N. Prashker,et al. The Impact of Travel Time Information on Travelers’ Learning under Uncertainty , 2006 .
[70] A. Tversky,et al. Prospect theory: an analysis of decision under risk — Source link , 2007 .
[71] Jerker Denrell. Adaptive learning and risk taking. , 2007, Psychological review.
[72] Yoram Shiftan,et al. Behavioral Insights in Route Choice Models wth Real-Time Information , 2007 .
[73] David A. Hensher,et al. Route Choice Behaviour of Freeway Travellers Under Real-time Traffic Information Provision – Application of the Best Route and the Habitual Route Choice Mechanisms , 2007 .
[74] Peter Bonsall. Modelling Response to Information Systems and Other Intelligent Transport System Innovations , 2007 .
[75] D. Ettema,et al. Coping with Unreliable Transportation When Collecting Children: Examining Parents’ Behavior with Cumulative Prospect Theory , 2009 .
[76] Michel Bierlaire,et al. Modeling Learning in Route Choice , 2007 .
[77] Thomas Pitz,et al. Commuters route choice behaviour , 2007, Games Econ. Behav..
[78] Chih-Cheng Chen,et al. Dynamic commuter departure time choice under uncertainty , 2008 .
[79] D. Ettema,et al. Using incentives as traffic management tool: empirical results of the "peak avoidance" experiment , 2010 .
[80] Eran Ben-Elia,et al. The combined effect of information and experience on drivers’ route-choice behavior , 2008 .
[81] J. Polak. Reference dependence and endogenous reference points in models of mode choice , 2008 .
[82] D. Ettema,et al. Commuters’ Choice-Behavior with Rewards for Avoiding Peak-Hour Driving , 2010 .
[83] Moshe Ben-Akiva,et al. Adaptive route choices in risky traffic networks: A prospect theory approach , 2010 .
[84] Chandra R. Bhat,et al. Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions , 2011 .