Ruo Jia

Postdoc at Geology and Geotechnics

Ruo Jia is a postdoctoral researcher in the Urban Mobility Systems research group within the Division of Geology and Geotechnics, Department of Architecture and Civil Engineering. His research interests focus on traffic flow, transportation modeling, and optimization through data-driven approaches. He is also working on urban mobility systems, with a particular focus on shared mobility, and big data analytics in transportation.

Source: chalmers.se
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Showing 9 publications

2025

A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation

Ruo Jia, Kun Gao, Shaohua Cui et al
Transportation Research Part E: Logistics and Transportation Review. Vol. 194
Journal article
2024

Enhancing Urban Logistics Through Integrated Public Transit Vehicles and Unmanned Aerial Vehicles

Shaohua Cui, Jelena Andric, Yongjie Xue et al
Smart Innovation, Systems and Technologies. Vol. 407 SIST, p. 1-11
Paper in proceeding
2024

Evaluating the Mode Shift Impact of Shared E-Scooters: Insights from a Survey in Gothenburg

Yasmin Musri, Amrutha K. Jayarajan, Ruo Jia
Smart Innovation, Systems and Technologies. Vol. 407 SIST, p. 191-201
Paper in proceeding
2023

Prospects of the Activity-Based Modelling Approach: A Review of Sweden’s Transport Model- SAMPERS

Omkar Parishwad, Ruo Jia
Smart Innovation, Systems and Technologies. Vol. 356, p. 139-148
Paper in proceeding
2023

How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu

Zhe Zhang, Kun Gao, Hong Di He et al
Transportation Research Part D: Transport and Environment. Vol. 123
Journal article
2023

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

Ruo Jia, Richard Chamoun, Alexander Wallenbring et al
Electronic Research Archive. Vol. 31 (2), p. 1031-1047
Journal article
2023

A Network-Wide Traffic Speed Estimation Model with Gaussian Process Inference

Chen Qiu, Ruo Jia
Smart Innovation, Systems and Technologies. Vol. 356, p. 221-228
Paper in proceeding
2023

Multivariate Sequence Clustering for Driving Preference Classification Based on Wide-Range Trajectory Data

Shuli Wang, Ruo Jia, Lanfang Zhang
Smart Innovation, Systems and Technologies. Vol. 356, p. 45-54
Paper in proceeding

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Showing 4 research projects

2024–2026

Digital solution for parking and charging management of shared micromobility

Kun Gao Geology and Geotechnics
Ruo Jia Geology and Geotechnics 2
Hao Li Geology and Geotechnics 2
VINNOVA

2023–2025

Digital solutions for sustainable planning and management of shared micromobility using Big Data

Kun Gao Transportgruppen
Marina Wiemers Geology and Geotechnics 2
Ruo Jia Geology and Geotechnics 2
VINNOVA

1 publication exists
2022–2024

Facilitating sustainable development of sharing micro-mobility and transit multi-modal transport systems (eFAST)

Kun Gao Transportgruppen
Ruo Jia Transportgruppen
Swedish Energy Agency
AoA Transport

5 publications exist
2022–2023

Analyzing and promoting micro-shared mobility system leveraging big data

Kun Gao Geology and Geotechnics
Xiaobo Qu Geology and Geotechnics
Ruo Jia Transportgruppen
AoA Transport Funds

There might be more projects where Ruo Jia participates, but you have to be logged in as a Chalmers employee to see them.