Drivers' route choice rules and network behavior: Do drivers become rational and homogeneous through learning?

Transportation Research Record

Volumn , Issue 1752, 2001, Pages 62-68

  Nakayama, Shoichiro ^a   Kitamura, Ryuichi ^a   Fujii, Satoshi ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; DECISION MAKING; LEARNING SYSTEMS; MONTE CARLO METHODS;

DRIVER-NETWORK TRANSPORTATION SYSTEMS;

TRANSPORTATION;

EID: 0035716459     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1752-09     Document Type: Conference Paper

References (14)

1. Invariants of human behavior
2. Information, rational expectations, and network equilibria: An analytical perspective for route guidance systems
3. Route choice model with inductive learning
4. The stability of dynamic model of traffic assignment: An application of method of Lyapunov
5. Day-to-day dynamic network disequilibria and idealized traveler information systems
6. A stochastic process approach to the analysis of temporal dynamics in transportation networks
7. A day to day and within-day dynamic stochastic assignment model
8. The stability of stochastic equilibrium in a two-link transportation network
9. Dynamic models of commuter behavior: Experimental investigation and application to the analysis of planned traffic disruptions
10. Experimental analysis of dynamic route choice behavior
11. Drivers' learning and network behavior: A dynamic analysis of the driver-network system as a complex system