Robust prediction and decision making for transportation networks
Travel time uncertainty can have a significant impact on the performance of Intelligent Transportation Systems. Various applications such as routing or pricing can benefit from accurate estimations of travel times. In this thesis, we propose an approach that can estimate travel time distributions fo...
Main Author: | Prokhorchuk, Anatolii |
---|---|
Other Authors: | Justin Dauwels |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/146430 |
Similar Items
-
Robust and adaptive decision-making: a reinforcement learning perspective
by: Xue, Wanqi
Published: (2024) -
Estimating the impact of high-fidelity rainfall data on traffic conditions and traffic prediction
by: Prokhorchuk, Anatolii, et al.
Published: (2022) -
Controller decision making using neural networks
by: Andres Prado Espinoza
Published: (2010) -
Enhancing robustness of air transportation network
by: Yang, Changpeng
Published: (2018) -
ICT modelling solutions for 3PLs' decision making process in global transport and logistics environments
by: Omotayo, Adebare, et al.
Published: (2018)