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1905.00883
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A tutorial on recursive models for analyzing and predicting path choice
behavior

v1v2 (latest)

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

EURO Journal on Transportation and Logistics (JETL), 2019

2 May 2019

Maëlle Zimmermann

ArXiv (abs)PDF HTML

Papers citing "A tutorial on recursive models for analyzing and predicting path choice behavior"

4 / 4 papers shown

Global path preference and local response: A reward decomposition
approach for network path choice analysis in the presence of locally
perceived attributes

Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of locally perceived attributes

114

8

0

14 Jul 2023

Network-based Representations and Dynamic Discrete Choice Models for
Multiple Discrete Choice Analysis

Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice AnalysisTransportation Research Part B: Methodological (Transp. Res. Part B), 2023

50

3

0

07 Jun 2023

Arc travel time and path choice model estimation subsumed

Arc travel time and path choice model estimation subsumed

Sobhan Mohammadpour

198

1

0

25 Oct 2022

A deep inverse reinforcement learning approach to route choice modeling
with context-dependent rewards

A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsTransportation Research Part C: Emerging Technologies (TRC), 2022

238

53

0

18 Jun 2022

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