Route choice modeling: past, present and future research directions

CG Prato - Journal of choice modelling, 2009 - Elsevier
Modeling route choice behavior is problematic, but essential to appraise travelers'
perceptions of route characteristics, to forecast travelers' behavior under hypothetical …

[HTML][HTML] A tutorial on recursive models for analyzing and predicting path choice behavior

M Zimmermann, E Fre**ger - EURO Journal on Transportation and …, 2020 - Elsevier
The problem at the heart of this tutorial consists in modeling the path choice behavior of
network users. This problem has been extensively studied in transportation science, where it …

Optimal locations and electricity prices for dynamic wireless charging links of electric vehicles for sustainable transportation

H Liu, Y Zou, Y Chen, J Long - … Part E: Logistics and Transportation Review, 2021 - Elsevier
Electric vehicles are one of the effective tools for pollution reduction and sustainable
transportation in emerging markets. In this paper, we investigate the optimal locations and …

[HTML][HTML] Joint optimisation of transfer location and capacity for a capacitated multimodal transport network with elastic demand: a bi-level programming model and …

J Ye, Y Jiang, J Chen, Z Liu, R Guo - Transportation Research Part E …, 2021 - Elsevier
With the growing attention toward develo** a multimodal transport system to enhance
urban mobility, there is an increasing need to construct new infrastructures, rebuild or …

Stochastic user equilibrium based spatial-temporal distribution prediction of electric vehicle charging load

K Liu, Y Liu - Applied Energy, 2023 - Elsevier
As the number of electric vehicles (EVs) connected to the grid increases, the EV electricity
demand rises dramatically, affecting the grid's planning and operation and deepening the …

C-logit stochastic user equilibrium model: formulations and solution algorithm

Z Zhou, A Chen, S Bekhor - Transportmetrica, 2012 - Taylor & Francis
This article considers the stochastic user equilibrium (SUE) problem with the route choice
model based on the C-logit function. The C-logit model has a simple closed-form analytical …

End-to-end learning of user equilibrium with implicit neural networks

Z Liu, Y Yin, F Bai, DK Grimm - Transportation Research Part C: Emerging …, 2023 - Elsevier
This paper intends to transform the transportation network equilibrium modeling paradigm
via an “end-to-end” framework that directly learns travel choice preferences and the …

[HTML][HTML] Estimating network flow and travel behavior using day-to-day system-level data: A computational graph approach

P Guarda, M Battifarano, S Qian - Transportation Research Part C …, 2024 - Elsevier
To estimate network flow and travel behavior under recurrent traffic conditions, we leverage
computational graphs and multi-source system-level data and solve a single-level …

Optimal distance tolls under congestion pricing and continuously distributed value of time

Q Meng, Z Liu, S Wang - Transportation Research Part E: Logistics and …, 2012 - Elsevier
This paper addresses the optimal distance-based toll design problem for cordon-based
congestion pricing schemes. The optimal distance tolls are determined by a positive and …