Accelerating transport electrification by machine learning

Project Information

ATEM

Grant agreement ID: 101025896

DOI 10.3030/101025896

Project closed

EC signature date 23 February 2021

Start date 1 August 2021

End date 31 July 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 191 852,16

EU contribution € 191 852,16

Coordinated by

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

Publications

Peer reviewed articles (6)

A personalized recommendation system for multi-modal transportation systems

Author(s): Fanyou Wu, Cheng Lyu, Yang Liu
Published in: Multimodal Transportation, 2022, ISSN 2772-5863
Publisher: Elsevier
DOI: 10.1016/j.multra.2022.100016

Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control

Author(s): Shen Li, Yang Liu, Xiaobo Qu
Published in: IEEE/CAA Journal of Automatica Sinica, 2022, ISSN 2329-9274
Publisher: IEEE Advancing Technology for Humanity
DOI: 10.1109/jas.2022.105611

How machine learning informs ride-hailing services: A survey

Author(s): Yang Liu; Ruo Jia; Jieping Ye; Xiaobo Qu
Published in: Communications in Transportation Research, 2022, ISSN 2772-4247
Publisher: Elsevier
DOI: 10.1016/j.commtr.2022.100075

A spatio-temporal deep learning model for short-term bike-sharing demand prediction

Author(s): Ruo Jia, Richard Chamoun, Alexander Wallenbring, Masoomeh Advand, Shanchuan Yu, Yang Liu, Kun Gao
Published in: Electronic Research Archive, 2023, ISSN 2688-1594
Publisher: AIMS Press
DOI: 10.3934/era.2023051

Bus timetable optimization model in response to the diverse and uncertain requirements of passengers for travel comfort

Author(s): Peiqun Lin, Chenxing He, Lingshu Zhong, Mingyang Pei, Chuhao Zhou, Yang Liu
Published in: Electronic Research Archive, 2023, ISSN 2688-1594
Publisher: AIMS Press
DOI: 10.3934/era.2023118

DeepTSP: Deep traffic state prediction model based on large-scale empirical data

Author(s): Yang Liu, Cheng Lyu, YuanZhang, Zhiyuan Liu, Wenwu Yu, Xiaobo Qu
Published in: Communications in Transportation Research, 2021, ISSN 2772-4247
Publisher: Elsevier
DOI: 10.1016/j.commtr.2021.100012