A Pedestrian's Route Choice Model in a Central City Area

Matsunaga, Chiaki; Song, Ki-Wook; Yoshinaga, Makoto; Teramachi, Kenichi; Sumi, Tomonori

doi:10.2208/jscej.2005.786_67

Doboku Gakkai Ronbunshu

2005

DOI: 10.2208/jscej.2005.786_67

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A Pedestrian's Route Choice Model in a Central City Area

Chiaki Matsunaga¹,

Ki-Wook Song²,

Makoto Yoshinaga³

et al.

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Cited by 3 publications

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Estimation of pedestrian-vehicle behavior using adversarial inverse reinforcement learning

Ogawa,

Hato

2023

Toshi keikaku rombunshu

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Recently, the importance of the walkability in the urban areas is re-evaluated., and many kinds of pedestrian behavior models have been proposed. However, most of them do not deal with the multi-modal situation. Usually, the pedestrians and the vehicles on a street recognize each other, and the behavior of the one side affects the other side. When this effect is formulated by the recursive logit model, the estimation needs very expensive iterative calculation. To tackle this problem, this research proposed a new method based on adversarial inverse reinforcement learning. This model learns the link value function for each mode in a single training process, which much reduces the computational cost. In the case study in Matsuyama, the same level of estimation as RL can be done in much smaller time.

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Estimation of pedestrian-vehicle behavior using adversarial inverse reinforcement learning

Ogawa,

Hato

2023

Toshi keikaku rombunshu

View full text Add to dashboard Cite

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A Study on the Change of Departure Area for a Day’s Tour Trip in Geoje Based on the Opening of the New Bridge : Assuming the Construction of National Route 5 between the Island and the Land: Geoje and Masan

Song¹

2021

jkpa

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Simulation Analysis of a Multiple-Station Shared Vehicle System Without Vehicle Redistribution

Yamamoto¹,

Nakayama²,

Kitamura³

2005

Doboku Gakkai Ronbunshu

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A Pedestrian's Route Choice Model in a Central City Area

Cited by 3 publications

References 2 publications

Estimation of pedestrian-vehicle behavior using adversarial inverse reinforcement learning

Estimation of pedestrian-vehicle behavior using adversarial inverse reinforcement learning

A Study on the Change of Departure Area for a Day’s Tour Trip in Geoje Based on the Opening of the New Bridge : Assuming the Construction of National Route 5 between the Island and the Land: Geoje and Masan

Simulation Analysis of a Multiple-Station Shared Vehicle System Without Vehicle Redistribution

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