Dr Caio Vitor Beojone

Lecturer

PhD in Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2018-2023
MSc in Production Engineering, São Paulo State University (UNESP), Bauru, SP, Brazil, 2015-2017
BSc in Production Engineering, São Paulo State University (UNESP), Bauru, SP, Brazil, 2010-2015

Engineering

Civil and Environmental Engineering

Dr. Caio Vitor Beojone is a Lecturer in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney, Australia, a member of the Research Centre for Integrated Transport Innovation (rCITI). Dr. Beojone's research is dedicated to making urban mobility more sustainable through the integration of shared mobility and autonomous vehicles in smart transportation systems that serve all in the urban space. His work tackles real-world challenges by developing innovative solutions — such as by combining multimodal large-scale network modeling with advanced control techniques and operations research. Dr. Beojone's interests span a broad range of topics in transportation, including:

Shared mobility
Large-scale transportation modeling
Resilient and sustainable transportation
Connected autonomous vehicles
Smart transportation infrastructure
Emergency medical services
Location problems

E-mail

c.beojone@unsw.edu.au

Location

Civil Engineering Building (H20) Level 1, Kensington Campus

Journal articles | 2024

Beojone CV; Zhu P; Sirmatel II; Geroliminis N, 2024, 'A hierarchical control framework for vehicle repositioning in ride-hailing systems', Transportation Research Part C Emerging Technologies, 168, http://dx.doi.org/10.1016/j.trc.2024.104717

Journal articles | 2023

Beojone CV; Geroliminis N, 2023, 'A dynamic multi-region MFD model for ride-sourcing with ridesplitting', Transportation Research Part B Methodological, 177, http://dx.doi.org/10.1016/j.trb.2023.102821

Journal articles | 2023

Beojone CV; Geroliminis N, 2023, 'Relocation incentives for ride-sourcing drivers with path-oriented revenue forecasting based on a Markov Chain model', Transportation Research Part C Emerging Technologies, 157, http://dx.doi.org/10.1016/j.trc.2023.104375

Journal articles | 2021

Beojone CV; de Souza RM; Iannoni AP, 2021, 'An efficient exact hypercube model with fully dedicated servers', Transportation Science, 55, pp. 222 - 237, http://dx.doi.org/10.1287/TRSC.2020.1007

Journal articles | 2021

Siqueira RM; Beojone CV, 2021, 'Towards Unifying Scheduling and Location Problems: A Non-Stationary Hypercube Model (This article was invited to be published in Gepros)', Revista Gestão da Produção Operações e Sistemas, 16, pp. 137, http://dx.doi.org/10.15675/gepros.v16i4.2865

Journal articles | 2020

Beojone CV; Máximo De Souza R, 2020, 'Improving the shift-scheduling problem using non-stationary queueing models with local heuristic and genetic algorithm', Pesquisa Operacional, 40, http://dx.doi.org/10.1590/0101-7438.2020.040.00220764

Journal articles | 2017

Beojone CV; de Souza RM, 2017, 'Aplicação do modelo hipercubo com prioridade na fila com mais de um servidor preferencial sem considerar a hipótese de backup parcial: estudo de caso em um SAMU', Gestão & Produção, 24, pp. 814 - 828, http://dx.doi.org/10.1590/0104-530x2452-16

My main research activities are mostly in the intersection of shared mobility, emergency services, large-scale/network level traffic modelling. During the past several years, I have extensively worked on understanding the effects of ride-hailing services on traffic conditions and how to optimize their operations to mitigate their negative effects to the system and its users (passengers and drivers). Following is a list of my ongoing research activities:

Modeling and optimization of ambulance operations
Analytical frameworks for shared mobility models and optimization problems
Large-scale modelling for connected transport modes
Integration of connected and autonomous transport with the urban infrastructure
Route modelling for shared mobility