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 …
perceptions of route characteristics, to forecast travelers' behavior under hypothetical …
[HTML][HTML] A tutorial on recursive models for analyzing and predicting path choice behavior
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 …
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
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 …
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 …
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 …
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 …
demand rises dramatically, affecting the grid's planning and operation and deepening the …
C-logit stochastic user equilibrium model: formulations and solution algorithm
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 …
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
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 …
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
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 …
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
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 …
congestion pricing schemes. The optimal distance tolls are determined by a positive and …