TY - JOUR
T1 - Dynamic capacitated user-optimal departure time/route choice problem with time-window
AU - Chen, H. K.
AU - Chang, M. S.
AU - Wang, C. Y.
N1 - Funding Information:
This work was supported in part by the National Science Council, Taiwan (ROC), through grant NSC-88-2211-E-008-021 awarded to the first author.
PY - 2001/8/1
Y1 - 2001/8/1
N2 - A discrete-time predictive dynamic user-optimal departure time/route choice problem has been formulated and solved with the nested diagonalization method by Chen, H.K., Hsueh, C.F. (1998a. A discrete-time dynamic user-optimal departure time/route choice model. Transportation Engineering, ASCE 124 (3), 246-254). That model did not impose constraints on either departure times at origin or arrival times at destination, which are typically required for regular work trips. However, for better representing practical situations, the time-window constraints associated with both the departure times and arrival times, along with link capacity side constraints, need to be incorporated into the aforementioned model. The resulting dynamic capacitated user-optimal departure time/route choice model with time-window can appropriately model the queuing delay associated with each capacitated time-space link and also can properly differentiate off-peak and peak phenomena within the analysis period. A numerical example is provided for demonstration.
AB - A discrete-time predictive dynamic user-optimal departure time/route choice problem has been formulated and solved with the nested diagonalization method by Chen, H.K., Hsueh, C.F. (1998a. A discrete-time dynamic user-optimal departure time/route choice model. Transportation Engineering, ASCE 124 (3), 246-254). That model did not impose constraints on either departure times at origin or arrival times at destination, which are typically required for regular work trips. However, for better representing practical situations, the time-window constraints associated with both the departure times and arrival times, along with link capacity side constraints, need to be incorporated into the aforementioned model. The resulting dynamic capacitated user-optimal departure time/route choice model with time-window can appropriately model the queuing delay associated with each capacitated time-space link and also can properly differentiate off-peak and peak phenomena within the analysis period. A numerical example is provided for demonstration.
KW - Augmented Lagrangian method
KW - Dynamic capacitated user-optimal departure time/route choice
KW - Time-space network
KW - Time-window
KW - Variational inequality
UR - http://www.scopus.com/inward/record.url?scp=0035427737&partnerID=8YFLogxK
U2 - 10.1016/S0377-2217(00)00165-X
DO - 10.1016/S0377-2217(00)00165-X
M3 - 期刊論文
AN - SCOPUS:0035427737
SN - 0377-2217
VL - 132
SP - 603
EP - 618
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 3
ER -