Activity-travel scheduling and rescheduling decision processes - Empirical estimation of Aurora model

被引:23
作者
Joh, CH [1 ]
Arentze, T [1 ]
Timmermans, H [1 ]
机构
[1] Eindhoven Univ Technol, Urban Planning Grp, NL-5600 MB Eindhoven, Netherlands
来源
TRAVEL DEMAND AND LAND USE 2004 | 2004年 / 1898期
关键词
D O I
10.3141/1898-02
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Predicting short-term activity-travel decisions is high on the research agenda because it constitutes a critical step in assessing the impact of policy decisions on daily traffic flows. The Aurora model was developed for predicting short-term activity scheduling and rescheduling decisions. Previous studies, using numerical simulations, have shown the potential of this model. The results of a study that estimated the model using empirical activity-travel diary data collected in the Amsterdam-Utrecht corridor, in the Netherlands, are reported.
引用
收藏
页码:10 / 18
页数:9
相关论文
共 17 条
[1]  
[Anonymous], 1998, 8 WORLD C TRANSP RES
[2]  
ARENTZE T, 2001, 9 WORLD C TRANSP RES
[3]  
Arentze TA., 2000, ALBATROSS LEARNING B
[4]   A THEORY OF THE ALLOCATION OF TIME [J].
BECKER, GS .
ECONOMIC JOURNAL, 1965, 75 (299) :493-517
[5]  
BHAT CR, 1999, 78 ANN M TRANSP RES
[6]  
FELLENDORF TH, 1997, ACTIVITY BASED APPRO, P55
[7]  
FOSGERAU M, 1998, 8 WORLD C TRANSP RES
[8]  
Fujii S., 1998, 77 ANN M TRANSP RES
[9]   Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis [J].
Herrera, F ;
Lozano, M ;
Verdegay, JL .
ARTIFICIAL INTELLIGENCE REVIEW, 1998, 12 (04) :265-319
[10]  
Joh CH, 2002, TRANSPORT RES REC, P16