Modeling learning and adaptation processes in activity-travel choice: A framework and numerical experiment

Transportation

Volumn 30, Issue 1, 2003, Pages 37-62

  Arentze, Theo ^a   Timmermans, Harry ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Activity travel choice; Adaptive choice; Reinforcement learning

Indexed keywords

DECISION MAKING; LEARNING SYSTEMS; ROADS AND STREETS; TIME VARYING SYSTEMS; TRAFFIC CONTROL;

REINFORCEMENT LEARNING;

TRANSPORTATION;

DECISION MAKING; LEARNING; MODELING; TRANSPORTATION MODE; TRAVEL BEHAVIOR;

EID: 0037330492     PISSN: 00494488     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1021290725727     Document Type: Article

References (21)

1. Arentze TA & Timmermans HJP (2002) An inductive learning approach to evolutionary decision processes in activity scheduling behavior: Theory and numerical experiments. Transportation Research Record.
2. Axhausen K Dimitrakopoulou E & Dimitripoulos I (1995) Adapting to change: Some evidence from a simple learning model. Proceedings PTRC P392: 191-203.
3. Ben-Akiva ME, De Palma A & Kaysi I (1991) Dynamic network models and driver information systems. Transportation Research 25A: 251-266.
4. Breiman L. Friedman JH Olshen RA & Stone CJ (1984) Classification and Regression Trees. Belmont, CA: Wadsworth.
5. Emmerink RHM (1996) Information and Pricing in Road Transport. PhD dissertation, Tinbergen Institute Research Series, Vrije Universiteit, Amsterdam.
6. Fujii S & Kitamura R (2000) Anticipated travel time, information acquisition and actual experience: The case of Hanshin Expressway Route Closure, Paper presented at the 79th Annual Meeting of the Transportation Research Board, Washington, DC, USA.
7. Horowitz AJ (1984) The stability of stochastic equilibrium in a two-link transportation network. Transportation Research 18B: 13-28.
8. Iida Y, Akiyama T & Uchida T (1992) Experimental analysis of dynamic route choice behavior. Transportation Research 26B: 17-32.
9. Kass GV (1980) An exploratory technique for investigating large quantities of categorical data. Applied Statistics 29: 119-127.
10. Mahmassani HS & Chang G (1986) Experiments with departure time dynamics of urban commuters. Transportation Research 20B: 297-320.
11. Nakayama S, Kitamura R & Fujii S (1999) Drivers' learning and network behavior: A dynamic analysis of the driver-network system as a complex system. Transportation Research Record 1676: 30-36.
12. Nakayama S & Kitamura R (2000) A route choice model with inductive learning. Paper presented at the 79th Annual Meeting of Transportation Research Board, Washington DC, USA.
13. Nakayama S, Kitamura R & Fujii S (2000) Drivers' route choice heuristics and network behavior: A simulation study using genetic algorithms. Paper presented at the IATBR Meetings, Gold Coast, Australia.
14. Osbay K, Dattu A & Kachroo P (2001) Modelling route choice behavior using stochastic learning automata. Paper presented at the 80th Annual Meeting of the Transportation Research Board, Washington DC, USA.
15. Polak J & Hazelton M (1998) The influence of alternative traveller learning mechanisms on the dynamics of transport systems. Transportation Planning Methods 1: 83-95.
16. Polak J. & Oladeinde F. (2000) An empirical model of travellers' day-to-day learning in the presence of uncertain travel times. Unpublished manuscript. Imperial College of Science Technology and Medicine.
17. Quinlan JR (1993) C4.5 Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann Publishers.
18. Sutton RS & Barton AG (1998) Reinforcement Learning: An Introduction. London: MIT Press.
19. Timmermanns HJP, Arentze TA & Joh C-H (2000) Modeling learning and evolutionary adaptation processes in activity settings: Theory and numerical simulations. Transportation Research Record 1718: 27-33.
20. Tversky A (1972) Elimination by aspects: A theory of choice. Psychological Review 79: 281-299.
21. Van Berkum E & Van der Mede P (1993) The Impact of Traffic Information: Dynamics in Route and Departure Choice. PhD dissertation, Delft University of Technology.