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Bo Du

Also published under: Bo Bobby Du

Publications
24
Citations
72
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (52)
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Bo Du

Also published under: Bo Bobby Du

Affiliation

Department of Business Strategy and Innovation
Griffith University
Queensland, Australia

Publication Topics

Biography

Bo Du received the B.E. and M.E. degrees from the Beijing Jiaotong University, Beijing, China, in 2008 and 2010, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2015. He is currently a Lecturer with the SMART Infrastructure Facility and the School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia. He is also the Leader of the Advanced Simulation Laboratory and the Future Transport and Mobility Group at SMART. His research interests include multi-modal transport system modeling, optimization, simulation, and data analytics.(Based on document published on 3 August 2021).
Publications
24
Citations
72
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (52)
Author's Published Works

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Unmanned Aerial Vehicle-Aided Intelligent Transportation Systems: Vision, Challenges, and Opportunities

Akbar Telikani;Arupa Sarkar;Bo Du;Fendy Santoso;Jun Shen;Jun Yan;Jianming Yong;Emily Yap

IEEE Communications Surveys & Tutorials
Year: 2025 | Early Access Article |
With their inherent attributes such as mobility, flexibility, and adaptive altitude, Unmanned Aerial Vehicles (UAVs) can potentially enable Intelligent Transportation Systems (ITS) to be more efficient by playing the role of aerial base stations for data collection, data analysis, and communication networks. Their ability to access hard-to-reach locations makes UAVs helpful in emergencies to searc...Show More

Unmanned Aerial Vehicle-Aided Intelligent Transportation Systems: Vision, Challenges, and Opportunities

Akbar Telikani;Arupa Sarkar;Bo Du;Fendy Santoso;Jun Shen;Jun Yan;Jianming Yong;Emily Yap

Year: 2025 | Early Access Article |

Machine Learning-Driven Daily Demand Forecasting for Fresh Produce: A Case Study with Bananas

Asmaa Seyam;May EI Barachi;Sujith Samuel Mathew;Bo Du;Jun Shen

2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD)
Year: 2024 | Conference Paper |
Accurate demand forecasting is crucial for reducing food waste, enhancing resilience, and promoting sustainability in food systems. Relying only on historical sales data is inadequate to predict the demand for perishable food products. The remaining shelf-life of food products and their qualities need to be considered as they play a vital role in the forecasting process, leading to accurate and re...Show More

Machine Learning-Driven Daily Demand Forecasting for Fresh Produce: A Case Study with Bananas

Asmaa Seyam;May EI Barachi;Sujith Samuel Mathew;Bo Du;Jun Shen

Year: 2024 | Conference Paper |

Two- Echelon Vehicle Routing Problem with Trucks and Drones

Xiaoteng Han;Quan Spring Zhou;Bo Bobby Du;Jun Shen

2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD)
Year: 2024 | Conference Paper |
Over the years, the Vehicle Routing Problem (VRP) has been extensively studied. As real-world scenarios and technol-ogy evolve, researchers are increasingly integrating drones with trucks, leading to the development of the Two-Echelon Vehicle Routing Problem (2EVRP). The 2EVRP involves dividing the route plan into two segments: the first echelon operated by trucks and the second by drones. With th...Show More

Two- Echelon Vehicle Routing Problem with Trucks and Drones

Xiaoteng Han;Quan Spring Zhou;Bo Bobby Du;Jun Shen

Year: 2024 | Conference Paper |

An Agent-Based Decentralised Approach to Disturbances in Rail Systems

Kevin Malysiak;Fenghui Ren;Bo Du

2024 IEEE International Conference on Agents (ICA)
Year: 2024 | Conference Paper |
Agent-based solutions of various architectures have been increasingly been applied to the Railway Traffic Management problem. This paper proposes a decentralised solution to this problem utilising Belief-Desire-Intention agents exhibiting proactive and reactive behaviours. This approach provides a scalable framework to study and solve problems in uncertain, dynamic environments such as railway sys...Show More

An Agent-Based Decentralised Approach to Disturbances in Rail Systems

Kevin Malysiak;Fenghui Ren;Bo Du

Year: 2024 | Conference Paper |

Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle

Arupa Sarkar;Fendy Santoso;Jun Shen;Bo Du;Akbar Telikani;Jun Yan

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
Year: 2024 | Conference Paper |
Unmanned Aerial Vehicles (UAVs), or drones, are increasingly used in various fields. A major concern with UAV operation is their limited power capacity which impacts mission planning, operational efficiency, and battery management, presenting significant research and engineering challenges. This paper evaluates the applications of multiple AI algorithms in predicting the energy consumption of low-...Show More

Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle

Arupa Sarkar;Fendy Santoso;Jun Shen;Bo Du;Akbar Telikani;Jun Yan

Year: 2024 | Conference Paper |

Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators

Arupa Sarkar;Fendy Santoso;Akbar Telikani;Jun Shen;Bo Du;Jun Yan

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
Year: 2024 | Conference Paper |
The increased reliance on Unmanned Aerial Vehicles (UAVs) in various industries exalts the security requirements since it is critical to protect these systems from any cyber-attack. GPS spoofing presents an important challenge by deceiving UAVs through false GPS signals that would disrupt their operations, thereby endangering them. As a countermeasure, this study introduces a method of detecting G...Show More

Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators

Arupa Sarkar;Fendy Santoso;Akbar Telikani;Jun Shen;Bo Du;Jun Yan

Year: 2024 | Conference Paper |

Joint Order Dispatching and Vehicle Repositioning for Dynamic Ridesharing

Zhidan Liu;Guofeng Ouyang;Bolin Zhang;Bo Du;Chao Chen;Kaishun Wu

IEEE Transactions on Mobile Computing
Year: 2024 | Early Access Article |
Dynamic ridesharing has gained significant attention in recent years. However, existing ridesharing studies often focus on optimizing order dispatching and vehicle repositioning separately, leading to short-sighted decisions and underutilization of the ridesharing potential. In this paper, we propose a novel joint optimization framework called JODR. By coordinating order dispatching and vehicle re...Show More

Joint Order Dispatching and Vehicle Repositioning for Dynamic Ridesharing

Zhidan Liu;Guofeng Ouyang;Bolin Zhang;Bo Du;Chao Chen;Kaishun Wu

Year: 2024 | Early Access Article |

Machine Learning for UAV-Aided ITS: A Review With Comparative Study

Akbar Telikani;Arupa Sarkar;Bo Du;Jun Shen

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 11 | Journal Article |
Cited by: Papers (3)
Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and infrastructure inspection, leading to rich data collection, lower response times, and efficient urban mobility management. Machine learning (ML) is a crucial component in UAV-assisted ITS as it processes UAV-captured data in both t...Show More

Machine Learning for UAV-Aided ITS: A Review With Comparative Study

Akbar Telikani;Arupa Sarkar;Bo Du;Jun Shen

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

MetroBUX: A Topology-Based Visual Analytics for Bus Operational Uncertainty EXploration

Shishi Xiao;Qing Shi;Lingdan Shao;Bo Du;Yang Wang;Qiaomu Shen;Wei Zeng

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 6 | Journal Article |
Cited by: Papers (1)
In the public transportation system, punctuality benefits both bus operation and passengers’ travel experience. However, uncertainty exists due to complex traffic conditions and heterogeneous driving behaviors. To analyze bus operational uncertainty, transport planners and bus operators need a tool that supports multi-granular modeling, spatio-temporal representation, and interactive exploration. ...Show More

MetroBUX: A Topology-Based Visual Analytics for Bus Operational Uncertainty EXploration

Shishi Xiao;Qing Shi;Lingdan Shao;Bo Du;Yang Wang;Qiaomu Shen;Wei Zeng

Year: 2024 | Volume: 25, Issue: 6 | Journal Article |

Movement Patterns of Pedestrians and Cyclists at Signalized Segregated Crosswalks: A Case Study in Nanjing, China

Cheng Zhang;Bo Du;Jun Shen

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Interactions and conflicts between vulnerable road users, mainly pedestrians and cyclists, are frequently observed on crosswalks, especially in urban areas with relatively high traffic volume. To alleviate the potential safety risks, one possible measure is to adopt the segregated crosswalk to provide separate crossing space for pedestrians and cyclists. However, the crossing behaviours of pedestr...Show More

Movement Patterns of Pedestrians and Cyclists at Signalized Segregated Crosswalks: A Case Study in Nanjing, China

Cheng Zhang;Bo Du;Jun Shen

Year: 2023 | Conference Paper |

Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation

Jinqu Chen;Mengfan Yue;Bo Du;Qiyuan Peng;Yong Yin

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Both urban rail transit (URT) and regular bus transit (RBT) systems are essential components of a multi-modal transport system in metropolises. The efficient and effective cooperation between URT and RBT systems plays an important role in enhancing the reliability and resilience of a URT system to quickly respond to disruptions. In this study, a resilience enhancement model for the URT network is ...Show More

Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation

Jinqu Chen;Mengfan Yue;Bo Du;Qiyuan Peng;Yong Yin

Year: 2023 | Conference Paper |

Optimal Routing Design of Demand-Responsive Feeder Transit in the Era of Mobility as a Service

Yiqi Hou;Tao Liu;Hao Hu;Bo Du

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
As an emerging innovative public transit service, the app-based demand-responsive feeder transit (DRFT) incorporated with a mobility-as-a-service (MaaS) platform provides on-demand, customized and flexible travel service. It serves as a good alternative for providing the first- and last-mile transport service. The study addresses the routing design optimization problem of the DRFT in the era of Ma...Show More

Optimal Routing Design of Demand-Responsive Feeder Transit in the Era of Mobility as a Service

Yiqi Hou;Tao Liu;Hao Hu;Bo Du

Year: 2022 | Conference Paper |

Analysis of COVID-19 Impact on Public Transport Usage based on Smart Card Data-A Regional Case Study in Australia

Tianyang Qu;Bo Du;Cheng Zhang;Qi Wang;Hao Hu;Pascal Perez

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
The outbreak of COVID-19 has made a profound impact on mobility, especially for public transport users. Extensive research has been conducted on the change of travel patterns in major cities where public transport systems have been well developed and heavily used. However, in small cities, the public transport network is relatively sparse, especially in suburban areas, which makes the correspondin...Show More

Analysis of COVID-19 Impact on Public Transport Usage based on Smart Card Data-A Regional Case Study in Australia

Tianyang Qu;Bo Du;Cheng Zhang;Qi Wang;Hao Hu;Pascal Perez

Year: 2022 | Conference Paper |

A Queue Balancing Approach for Electric Vehicle Charging Allocation

Qi Wang;Dongmo Zhang;Bo Du

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
With an increasing number of electric vehicles but relatively insufficient charging facilities, how to utilise and manage the existing charging resource in an efficient and effective way becomes an important challenge to address. In this paper, a charging resource allocation model is proposed to balance the uneven charging demand at different charging stations and minimise the total average waitin...Show More

A Queue Balancing Approach for Electric Vehicle Charging Allocation

Qi Wang;Dongmo Zhang;Bo Du

Year: 2022 | Conference Paper |

Empirical Investigation on Conflicts between Bus Passengers and Cyclists at Different Types of Bus Stops

Cheng Zhang;Bo Du;Jun Shen;Xuecai Xu

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
Traffic conflicts between bus passengers and cyclists surrounding bus stops are frequently observed, which may reduce their travel comfort and cause potential safety issues. However, such conflicts and safety risk at different types of bus stops have rarely been investigated. To fill the research gap, this study aims to investigate the conflicting behaviours between bus passengers and cyclists and...Show More

Empirical Investigation on Conflicts between Bus Passengers and Cyclists at Different Types of Bus Stops

Cheng Zhang;Bo Du;Jun Shen;Xuecai Xu

Year: 2022 | Conference Paper |

A two-stage stochastic programming model of locating fast chargers at stops for battery electric buses

Hao Hu;Bo Du;Pascal Perez;Tao Liu;Avishai Avi Ceder

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2022 | Conference Paper |
With the development of charging technology, chargers with dropped price and increased charging power make fast charging more applicable and competitive to provide efficient and effective charging solution to electric vehicles. Compared to normal chargers, fast chargers can top up battery in a short time, which enables battery electric buses to get top-up charging at selected bus stops when the bu...Show More

A two-stage stochastic programming model of locating fast chargers at stops for battery electric buses

Hao Hu;Bo Du;Pascal Perez;Tao Liu;Avishai Avi Ceder

Year: 2022 | Conference Paper |

Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances

Jinqu Chen;Jie Liu;Bo Du;Qiyuan Peng;Yong Yin

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 12 | Journal Article |
Cited by: Papers (15)
Operational disturbances within 30 min, namely, short-term operational disturbances (STODs), occur frequently during the daily operation of an urban rail transit (URT) system. Therefore, there is an urgent need to assess a network’s ability to respond to STODs to improve its operational level. The resilience of a URT network jointly considering turn-back operations, the occurrence time of STODs, a...Show More

Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances

Jinqu Chen;Jie Liu;Bo Du;Qiyuan Peng;Yong Yin

Year: 2022 | Volume: 23, Issue: 12 | Journal Article |

A Mixed Integer Linear Programming Model for Train Service Improvement

Kevin Malysiak;Fenghui Ren;Hao Hu;Bo Du

2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Year: 2022 | Conference Paper |
An optimal train schedule enables the railway system to serve maximal passengers with limited resources. However, inappropriate train services may cause a diversity of adverse impacts such as service delay and long waiting times. This study aims to improve train service with a new schedule compared to the existing train schedule. To develop an alternative train service with a schedule solution, a ...Show More

A Mixed Integer Linear Programming Model for Train Service Improvement

Kevin Malysiak;Fenghui Ren;Hao Hu;Bo Du

Year: 2022 | Conference Paper |

The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays

Jianqing Wu;Yihui Wang;Bo Du;Qiang Wu;Yanlong Zhai;Jun Shen;Luping Zhou;Chen Cai;Wei Wei;Qingguo Zhou

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 3 | Journal Article |
Cited by: Papers (11)
Different from the existing train delay studies that had strived to explore sophisticated algorithms, this paper focuses on finding the bound of improvements on predicting multi-scenario train delays with different machine learning methods. Motivated by the observation of deep learning methods failing to improve the prediction performance if the delay occurs rarely, we present a novel augmented ma...Show More

The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays

Jianqing Wu;Yihui Wang;Bo Du;Qiang Wu;Yanlong Zhai;Jun Shen;Luping Zhou;Chen Cai;Wei Wei;Qingguo Zhou

Year: 2022 | Volume: 23, Issue: 3 | Journal Article |

A Dynamic Sensitivity Model for Unidirectional Pedestrian Flow With Overtaking Behaviour and Its Application on Social Distancing’s Impact During COVID-19

Bo Du;Cheng Zhang;Jun Shen;Zuduo Zheng

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 8 | Journal Article |
Cited by: Papers (11)
As a common phenomenon, overtaking behaviour is frequently observed on pedestrian flow, which not only reshapes pedestrian flow but also generates adverse impacts on pedestrian safety to some extent. Prior research focused on unidirectional pedestrian modelling, especially with overtaking behaviour, is limited. Moreover, pedestrian behaviour in the context of COVID-19 is rarely investigated. Inspi...Show More

A Dynamic Sensitivity Model for Unidirectional Pedestrian Flow With Overtaking Behaviour and Its Application on Social Distancing’s Impact During COVID-19

Bo Du;Cheng Zhang;Jun Shen;Zuduo Zheng

Year: 2022 | Volume: 23, Issue: 8 | Journal Article |

Integrated optimisation of electric bus scheduling and top-up charging at bus stops with fast chargers

Hao Hu;Bo Du;Pascal Perez

2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
Year: 2021 | Conference Paper |
Cited by: Papers (7)
Proper vehicle scheduling and charging scheduling play an essential role in an efficient, effective and economical (3E) operation of electric bus fleet. An optimal vehicle scheduling can minimise the number of required electric buses and deadhead trips. Compared to normal plug-in charging at depot, fast charging at stops can reduce the required battery capacity, the number of deadhead trips, and f...Show More

Integrated optimisation of electric bus scheduling and top-up charging at bus stops with fast chargers

Hao Hu;Bo Du;Pascal Perez

Year: 2021 | Conference Paper |

SD-seq2seq : A Deep Learning Model for Bus Bunching Prediction Based on Smart Card Data

Zengyang Gong;Bo Du;Zhidan Liu;Wei Zeng;Pascal Perez;Kaishun Wu

2020 29th International Conference on Computer Communications and Networks (ICCCN)
Year: 2020 | Conference Paper |
Cited by: Papers (10)
Bus bunching, a phenomenon due to the failure of headway or timetable adherence, often causes low level of public transit service with poor bus on-time performance and excessive passenger waiting time. To mitigate bus bunching, an accurate and real-time prediction method plays an important role. In this paper, we propose a supply-demand seq2seq model called SD-seq2seq to predict bus bunching using...Show More

SD-seq2seq : A Deep Learning Model for Bus Bunching Prediction Based on Smart Card Data

Zengyang Gong;Bo Du;Zhidan Liu;Wei Zeng;Pascal Perez;Kaishun Wu

Year: 2020 | Conference Paper |

Bus Bunching Identification Using Smart Card Data

Bo Du;Paul-Antonin Dublanche

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)
Year: 2018 | Conference Paper |
Cited by: Papers (7)
Bus bunching is a result of sophisticated traffic condition, unstable bus operation and dynamic travel demand, which not only causes passengers' dissatisfaction, but also degrades the bus service performance. To tackle the bus bunching issue, multiple steps are usually adopted, from bus bunching identification to solution development. This paper serves as the first-mile work of a series of studies...Show More

Bus Bunching Identification Using Smart Card Data

Bo Du;Paul-Antonin Dublanche

Year: 2018 | Conference Paper |

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