[HTML][HTML] The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the …

G Parady, D Ory, J Walker - Journal of Choice Modelling, 2021 - Elsevier
An examination of model validation practices in the peer-reviewed transportation literature
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …

[HTML][HTML] The pedestrian network concept: A systematic literature review

M Jabbari, F Fonseca, G Smith, E Conticelli… - Journal of Urban …, 2023 - Elsevier
The design of urban spaces that foster sustainable practices requires new analytical and
structural approaches to spatial planning. An appropriate pedestrian network could …

[HTML][HTML] Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of visually perceived …

Y Oyama - Transportation Research Part A: Policy and Practice, 2024 - Elsevier
This study performs an attribute-level analysis of the global and local path preferences of
network travelers. To this end, a reward decomposition approach is proposed and integrated …

Multi-modal combined route choice modeling in the MaaS age considering generalized path overlapping problem

D Li, M Yang, CJ Jin, G Ren, X Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the MaaS (Mobility as a Service) age, the alternatives of route choice for a trip will not be
the single mode paths, but the combined routes utilizing more than one travel mode in the …

[HTML][HTML] Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach

Y Oyama - Transportation Research Part C: Emerging …, 2023 - Elsevier
Although the recursive logit (RL) model has been recently popular and has led to many
applications and extensions, an important numerical issue with respect to the computation of …

[HTML][HTML] A dynamic two-dimensional (D2D) weight-based map-matching algorithm

MN Sharath, NR Velaga, MA Quddus - Transportation Research Part C …, 2019 - Elsevier
Existing map-Matching (MM) algorithms primarily localize positioning fixes along the
centerline of a road and have largely ignored road width as an input. Consequently, vehicle …

Forecasting pedestrian movements using recurrent neural networks: An application of crowd monitoring data

DC Duives, G Wang, J Kim - Sensors, 2019 - mdpi.com
Currently, effective crowd management based on the information provided by crowd
monitoring systems is difficult as this information comes in at the moment adverse crowd …

Prism-based path set restriction for solving Markovian traffic assignment problem

Y Oyama, E Hato - Transportation Research Part B: Methodological, 2019 - Elsevier
This paper deals with a main limitation of Markovian traffic assignment (MTA) models: when
the network includes cyclic structures and the link costs are small enough, the fact that the …

[HTML][HTML] Markovian traffic equilibrium assignment based on network generalized extreme value model

Y Oyama, Y Hara, T Akamatsu - Transportation Research Part B …, 2022 - Elsevier
This study establishes Markovian traffic equilibrium assignment based on the network
generalized extreme value (NGEV) model, which we call NGEV equilibrium assignment. The …

[HTML][HTML] Estimation of a recursive link-based logit model and link flows in a sensor equipped network

TP van Oijen, W Daamen, SP Hoogendoorn - Transportation Research Part …, 2020 - Elsevier
This paper describes a method to estimate the parameters of a Recursive link-based Logit
model (RL) using measurements of a set of spatially fixed proximity sensors, with limited hit …