Searched for: subject%3A%22mixing%22
(1 - 5 of 5)
document
Sharif Azadeh, S. (author), Atasoy, B. (author), Ben-Akiva, Moshe E. (author), Bierlaire, M. (author), Maknoon, M.Y. (author)
Urban mobility services face the challenge of planning their operations efficiently while complying with user preferences. In this paper, we introduce a new mathematical model called a choice-driven dial-a-ride problem (CD-DARP) which is a generalization of the dynamic DARP where passenger behavior is integrated in the operational planning...
journal article 2022
document
Zhang, Y. (author), Guo, W. (author), Negenborn, R.R. (author), Atasoy, B. (author)
As a critical feature of synchromodal transport (ST), service flexibility plays an important role in improving the utilization of resources to reduce costs, emissions, congestions, and delays. However, none of the existing studies considered flexible services under the framework of synchromodality. This paper develops a Mixed Integer Linear...
journal article 2022
document
Larsen, R.B. (author), Atasoy, B. (author), Negenborn, R.R. (author)
Controlling systems with both continuous and discrete actuators using model predictive control is often impractical, since mixed-integer optimization problems are too complex to solve sufficiently fast. This paper proposes a parallelizable method to control both the continuous input and the discrete switching signal for linear switched...
journal article 2020
document
Danaf, Mazen (author), Atasoy, B. (author), Ben-Akiva, Moshe (author)
Logit mixture models have gained increasing interest among researchers and practitioners because of their ability to capture unobserved taste heterogeneity. Becker et al. (2018) proposed a Hierarchical Bayes (HB) estimator for logit mixtures with inter- and intra-consumer heterogeneity (defined as taste variations among different individuals...
journal article 2019
document
Becker, Felix (author), Danaf, Mazen (author), Song, Xiang (author), Atasoy, B. (author), Ben-Akiva, Moshe (author)
Estimating discrete choice models on panel data allows for the estimation of preference heterogeneity in the sample. While the Logit Mixture model with random parameters is mostly used to account for variation across individuals, preferences may also vary across different choice situations of the same individual. Up to this point, Logit...
journal article 2018
Searched for: subject%3A%22mixing%22
(1 - 5 of 5)