@inproceedings{08a6fefac0404ca0938378a83dee1102,
title = "TRAFFIC PARAMETERS ESTIMATION WITH AN ITERATIVE PARTIAL BACKPROPAGATION MAXIMUM LIKELIHOOD ESTIMATION (IPB-MLE) FRAMEWORK",
abstract = "This study proposes a numerical framework for traffic parameters estimation, namely Iterative Partial Backpropagation Maximum Likelihood Estimation (IPB-MLE). This framework utilizes analytical continuations to avoid the discrete nature of the Poisson distribution, hence providing more accurate convergences. Backpropagation introduced in this framework contributes flexibility and possibilities of introducing customizations to the problem formulation. In the experiment, the IPB-MLE framework yields better accuracy and robustness in satisfactory computational times. Estimation takes on average 2 seconds for 10\% penetration rate, and the computational complexity increases only linearly with the amount of data and number of variables. Therefore, the IPB-MLE framework offers a great potential for modeling more complex but realistic situations.",
keywords = "Analytical continuation, Backpropagation, Flow estimation, Intersection, Maximum likelihood estimation (MLE)",
author = "Kejun Du and Shuling Wang and Lo, \{Hong K.\}",
note = "Publisher Copyright: {\textcopyright} 2021 Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility. All Rights Reserved.; 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, HKSTS 2021 ; Conference date: 09-12-2021 Through 10-12-2021",
year = "2021",
language = "英语",
series = "Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility",
publisher = "Hong Kong Society for Transportation Studies Limited",
pages = "375--382",
editor = "Wong, \{Ryan C.P.\} and Jiangping Zhou and W.Y. Szeto",
booktitle = "Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021",
}