Work

Enhancing Pedestrian Route Choice Models Through Maximum-Entropy Deep Inverse Reinforcement Learning With Individual Covariates (MEDIRL-IC)

Year: 2024

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2024.3457680

Authors: Boyang Li, Wenjia Zhang

Institutions: Peking University, Tongji University

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: Natural Science Foundation of Shenzhen City, National Natural Science Foundation of China

Awards: G4853626764, G6138040037, G7336856877

OpenAlex ID: W4402742691

FWCI: 1.567

Cites: 65

Cited by: 5

Related to: 10