Computer based pedestrian landscape design using decision tree templates

Advanced Engineering Informatics

Volumn 20, Issue 1, 2006, Pages 23-30

  Raman, Baranidharan ^a   Naderi, Jody R ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Decision tree templates; Machine learning; Pedestrian landscape design; Simulation

Indexed keywords

ALGORITHMS; COGNITIVE SYSTEMS; COMPUTER SIMULATION; DECISION THEORY;

DECISION RULES; DECISION TREE TEMPLATES; PEDESTRIAN LANDSCAPE DESIGN;

LEARNING SYSTEMS;

EID: 33644685670     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2005.08.002     Document Type: Article

References (20)

1. Y. Reich, S. Konda, S.N. Levy, I. Monarch, and E. Subrahmanian New roles for machine learning in design Artif Intell Eng 8 3 1993 165 181
2. M.L. Maher, and A.G. Garza Case-based reasoning in design IEEE Expert 12 2 1997 34 41
3. M.A. Rosenman, and J.S. Gero Evolving designs by generating useful complex gene structures P. Bentley Evolutionary design by computers 1999 Morgan Kaufmann San Francisco 345 364
4. T. Arciszewski, M. Mustafa, and W. Ziarko The formation and use of abstract concepts in design D.H.J. Fisher M.J. Pazzani P. Langley Concept formation: knowledge and experience in unsupervise learning 1991 Morgan Kauffman Los Altos, CA 323 353
5. R.D. Coyne, S. Newton, and F. Sudweeks A connectionist view of creative design reasoning J.S. Gero M.L. Maher Modelling creativity and knowledge-based creative design 1993 Lawrence Erlbaum New Jersey 177 209
6. R. Reich, and S.J. Fenves A system that learns to design cable-stayed bridges J Struct Eng 121 7 1995 1090 1100
7. W. Wang, and J.S. Gero Sequence-based prediction in the conceptual design of bridges ASCE J Comput Civ Eng 11 1 1997 37 43
8. A. Duffy What and how of learning in design IEEE Expert 12 3 1997 71 76
9. Rachel Kaplan The analysis of perception via preference: a strategy for studying how the environment is experienced Landscape Plan 12 1985 161 176
10. G.J. Buhyoff, P.A. Miller, J.W. Roach, D. Zhou, and L.G. Fuller An AI methodology for landscape visual assessments AI Appl 8 1994 1 13
11. Naderi JR. On the nature of walking and learning pedestrian environment. In: The architectural research centers consortium (ARCC), Montreal, Canada; 2002.
12. A.B. Jacobs Great streets 1993 MIT Press Cambridge, MA
13. J.R. Naderi, and B. Raman Design considerations in simulating pedestrian environments Transportation research board annual meeting, Washington 2002
14. T. Mitchell Machine learning 1997 Mcgraw Hill Press New York
15. J.R. Quinlan C4.5: programs for machine learning 1993 Morgan Kaufmann San Mateo, CA
16. Cardie C. Using decision trees to improve case-based reasoning. In: Proceeding of 10th international conference on machine learning. Amherst, MA: Morgan Kaufmann. 1993, p. 25-32.
17. K. Lynch Images of a city 1960 MIT Press Cambridge, MA
18. Jon Appleton The experience of landscape 1975 Wiley London
19. Richard Forman Some general principle of landscape and regional ecology Landscape Ecol 10 3 1995 133 142
20. Kweon Byoung-Suk, Naderi Jody Rosenblatt, Maghelal Praveen, Shin Woohwa. Correlates of environmental constraucts and perceived safety enhancements in pedestrian corridors adjacent to urban streets. Report 167722-1, Southwest University Transportation Centers, Texas Transportation Institute; 2004.