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Partially Observable Imitation Network for Traffic Signal Control

Bibliographic Data

ID21228516
AuthorsWan Li (0000-0002-5908-0223), Li Wan (0009-0009-6895-4074, Oak Ridge National Laboratory), Boyu Wang (0000-0002-7413-4162, corresponding author), Zhanlin Liu (0000-0001-9729-679X, University of Washington), Qiang Li (0000-0003-2737-0768, University Town of Shenzhen), Guo-Jun Qi (0000-0003-3508-1851, Huawei Technologies (United States))
Year2022
Volume76
Pages103461
Publication date2022-01-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2021.103461
OpenAlexW3208684182
LanguageEN
References cited15

Imitation · Real-time computing · Traffic generation model · Computer Science · Traffic control and management · Traffic Prediction and Management Techniques · Transportation Planning and Optimization

  • Automated, electric, or both? Investigating the effects of transportation and technology scenarios on metropolitan greenhouse gas emissions

    Open Access•An Wang, Christos Stogios et al.•Sustainable Cities and Society•2018

  • Smart TSS

    Open Access•Moneeb Gohar, Muhammad Muzammal et al.•Sustainable Cities and Society•2018

  • Analysis of particulate matter and carbon monoxide emission rates from vehicles in a Shanghai tunnel

    Open Access•Qinghai Yang, Henggen Shen et al.•Sustainable Cities and Society•2020

  • Integrating computer vision and traffic modeling for near-real-time signal timing optimization of multiple intersections

    Open Access•Shenghua Zhou, Sin Tung Ng et al.•Sustainable Cities and Society•2021

  • Comparative study of real-world driving cycles, energy consumption, and CO2 emissions of electric and gasoline motorcycles driving in a congested urban corridor

    Open Access•Triluck Koossalapeerom, Thaned Satiennam et al.•Sustainable Cities and Society•2019

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