Fangce Guo

Fangce Guo

Imperial College London

H-index: 13

Europe-United Kingdom

About Fangce Guo

Fangce Guo, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Intelligent Transport Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modular bus unit scheduling for an autonomous transit system under range and charging constraints

An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time

Few-Shot traffic prediction based on transferring prior knowledge from local network

Car-following model calibration with load effect as additional optimisation objective

When does it pay off to use electricity demand data with rich information about households and their activities? A comparative machine learning approach to demand modelling

An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles

Network-scale traffic prediction via knowledge transfer and regional MFD analysis

Transferability improvement in short-term traffic prediction using stacked LSTM network

Fangce Guo Information

University

Position

Research Fellow

Citations(all)

612

Citations(since 2020)

504

Cited By

261

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

14

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Fangce Guo Skills & Research Interests

Intelligent Transport Systems

Top articles of Fangce Guo

Title

Journal

Author(s)

Publication Date

Modular bus unit scheduling for an autonomous transit system under range and charging constraints

Applied Sciences

Hong Gao

Kai Liu

Jiangbo Wang

Fangce Guo

2023/6/28

An Online Optimal Bus Signal Priority Strategy to Equalise Headway in Real-Time

Information

Xuehao Zhai

Fangce Guo

Rajesh Krishnan

2023/2/6

Few-Shot traffic prediction based on transferring prior knowledge from local network

Transportmetrica B: Transport Dynamics

Lin Yu

Fangce Guo

Aruna Sivakumar

Sisi Jian

2023/12/31

Car-following model calibration with load effect as additional optimisation objective

Structure and Infrastructure Engineering

Zeren Jin

Fangce Guo

Aruna Sivakumar

Xin Ruan

2023/11/8

When does it pay off to use electricity demand data with rich information about households and their activities? A comparative machine learning approach to demand modelling

Energy and Buildings

Han Wang

Jacek Pawlak

Ahmadreza Faghih Imani

Fangce Guo

Aruna Sivakumar

2023/9/15

An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles

Journal of Intelligent Transportation Systems

Tang Li

Fangce Guo

Rajesh Krishnan

Aruna Sivakumar

2022/9/24

Network-scale traffic prediction via knowledge transfer and regional MFD analysis

Transportation research part C: emerging technologies

Junyi Li

Ningke Xie

Kaihang Zhang

Fangce Guo

Simon Hu

...

2022/8/1

Transferability improvement in short-term traffic prediction using stacked LSTM network

Transportation Research Part C: Emerging Technologies

Junyi Li

Fangce Guo

Aruna Sivakumar

Yanjie Dong

Rajesh Krishnan

2021/3/1

Heterogeneous Flows of Autonomous and Human Driven Vehicles: An Analysis of the Impacts of Vehicle Size on Road and Passenger Capacity

Canwen Zhong

Tang Li

Fangce Guo

Aruna Sivakumar

Rajesh Krishnan

2021

A domain adaptation framework for short-term traffic prediction

Junyi Li

Kaihang Zhang

Loutao Shen

Zhebing Wang

Fangce Guo

...

2021/9/19

Short-term traffic prediction under disruptions using deep learning

Traffic Information and Control

Yanjie Dong

Fangce Guo

Aruna Sivakumar

John Polak

2020/11/16

Short-term traffic prediction with deep neural networks and adaptive transfer learning

IEEE Access

Kyungeun Lee

Moonjung Eo

Euna Jung

Yoonjin Yoon

Wonjong Rhee

2021/4/5

Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles

Transportation research part C: emerging technologies

Tang Li

Fangce Guo

Rajesh Krishnan

Aruna Sivakumar

John Polak

2020/6/1

See List of Professors in Fangce Guo University(Imperial College London)

Co-Authors

H-index: 60
John Polak

John Polak

Imperial College London

H-index: 26
Aruna Sivakumar

Aruna Sivakumar

Imperial College London

H-index: 18
Rajesh Krishnan

Rajesh Krishnan

Imperial College London

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