Theses most similar to those of author Chong, Linsen
Computationally efficient simulation-based optimization algorithms for large-scale urban transportation problems (2017) read it
- Advisor: Amedeo R. Odoni
- Department of Electrical Engineering and Computer Science
- Advisors: Haris N. Koutsopoulos; Moshe E. Ben-Akiva nad Mithilesh Jha
- Department of Civil and Environmental Engineering
Calibration of the demand simulator in a dynamic traffic assignment system
Balakrishna, Ramachandran, 1978- (2002)
- Advisors: Haris N. Koutsopoulos; Moshe E. Ben-Akiva nad Mithilesh Jha
- Department of Civil and Environmental Engineering
Urban transportation networks : analytical modeling of spatial dependencies and calibration techniques for stochastic traffic simulators
Wang, Carter (Carter Robert Ren-Deh) (2013)
- Advisor: Carolina Osorio
- Department of Civil and Environmental Engineering
- Advisors: Haris N. Koutsopoulos; Moshe E. Ben-Akiva nad Mithilesh Jha
- Department of Civil and Environmental Engineering
W-SPSA : an Efficient Stochastic Approximation Algorithm for the off-line calibration of Dynamic Traffic Assignment models
Lu, Lu (2013)
- Advisors: Francisco C. Pereira; Moshe E. Ben-Akiva nad Mithilesh Jha
- Department of Civil and Environmental Engineering; Department of Electrical Engineering and Computer Science
Multi-model simulation-based optimization applied to urban transportation
Selvam, Krishna Kumar (2014)
- Advisor: Carolina Osorio
- Department of Civil and Environmental Engineering
Application of aircraft sequencing to minimize departure delays at a busy airport
Sahyoun, Alexandre Paul (2014)
- Advisor: Amedeo R. Odoni
- Operations Research Center
Constrained extended Kalman filter : an efficient improvement of calibration for dynamic traffic assignment models
Zhang, Haizhen (2016)
- Advisors: Francisco C. Pereira; Moshe E. Ben-Akiva nad Mithilesh Jha
- Department of Civil and Environmental Engineering; Department of Electrical Engineering and Computer Science
- Advisor: Amedeo R. Odoni
- Department of Civil and Environmental Engineering; Operations Research Center