Breno Beirigo

Breno Beirigo
University of Twente | UT · High-tech Business and Entrepreneurship

PhD

About

15
Publications
2,255
Reads
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81
Citations
Introduction
Postdoctoral researcher at TU Delft (NL) working on anticipatory optimization strategies for (autonomous) mobility-on-demand systems.
Additional affiliations
November 2018 - present
Delft University of Technology
Position
  • PhD Student
Description
  • Dynamic fleet management of autonomous vehicles
April 2015 - August 2016
Centro Federal de Educação Tecnológica de Minas Gerais
Position
  • Lecturer
Description
  • Courses lectured for Mechatronics Engineering: Android Development; Automation via Web; Lab. of Programming Languages II; Programming Training. // Courses lectured for Technical Course in Informatics: Advanced Web Applications; Computer Fundamentals.
February 2011 - January 2012
Universidade Federal de Viçosa (UFV)
Position
  • Student
Description
  • Combined evolutionary algorithms with the LEACH-C framework to increase the power efficiency of Wireless Sensors Networks. Advisor: José Elias Cláudio Arroyo / Funding Agency: CNPq
Education
March 2014 - September 2016
Universidade Federal de Viçosa (UFV)
Field of study
  • Optimization
February 2012 - February 2013
Hanzehogeschool
Field of study
  • Advanced Sensor Applications (ASA)
March 2009 - March 2014
Universidade Federal de Viçosa (UFV)
Field of study
  • Computer Science

Publications

Publications (15)
Article
Full-text available
With the popularization of transportation network companies (TNCs) (e.g., Uber, Lyft) and the rise of autonomous vehicles (AVs), even major car manufacturers are increasingly considering themselves as autonomous mobility-on-demand (AMoD) providers rather than individual vehicle sellers. However, matching the convenience of owning a vehicle requires...
Thesis
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Due to supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately since service levels are, to some exte...
Article
Full-text available
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Due to supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately since service levels are, to some exte...
Article
Full-text available
Residents of cities' most disadvantaged areas face significant barriers to key life activities, such as employment, education, and health-care, due to the lack of mobility options. Shared autonomous vehicles (SAVs) create an opportunity to overcome this problem. By learning user demand patterns, SAV providers can improve regional service levels by...
Article
Full-text available
In the realm of human urban transportation, many recent studies have shown that comparatively smaller fleets of shared autonomous vehicles (SAVs) are able to provide efficient door-to-door transportation services for city dwellers. However, because of the steady growth of e-commerce and same-day delivery services, new city logistics approaches will...
Preprint
With the popularization of transportation network companies (TNCs) (e.g., Uber, Lyft) and the rise of autonomous vehicles (AVs), even major car manufacturers are increasingly considering themselves as autonomous mobility-on-demand (AMoD) providers rather than individual vehicle sellers. However, matching the convenience of owning a vehicle requires...
Article
The shared autonomous vehicle (SAV) is a new concept that meets the upcoming trends of autonomous driving and changing demands in urban transportation. SAVs can carry passengers and parcels simultaneously, making use of dedicated passenger and parcel modules on board. A fleet of SAVs could partly take over private transport, taxi, and last-mile del...
Preprint
Current mobility services cannot compete on equal terms with self-owned mobility products concerning service quality. Due to supply and demand imbalances, ridesharing users invariably experience delays, price surges, and rejections. Traditional approaches often fail to respond to demand fluctuations adequately since service levels are, to some exte...
Conference Paper
Full-text available
Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this...
Conference Paper
In this paper we propose a parallel heuristic to solve a broad formulation of the travel planning problem. Given a set of destinations and a travel time window, our goal is to find a route that produces a budget travel itinerary, involving plane flights, hotels, stays in each destination and departure/arrival times. When the sequence of cities is f...
Conference Paper
In wireless sensors networks (WSNs) the efficient use of the sensors' energy is a key point to extend the network lifetime. In the literature there are several different techniques to reduce the energy consumption of the sensors. Sensor node clustering is one of these techniques commonly used. However, finding an optimal clustering in WSNs is a NP-...

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Projects

Projects (7)
Project
Shared mobility is the transportation sector’s response to a recent paradigm shift towards the sharing economy of collaborative consumption. In contrast with traditional ownership models, shared mobility systems entail the temporary access of underutilized physical assets (e.g., cars, bicycles, scooters) by multiple users, either sequentially or in parallel, on a pay-per-use or subscription basis. With the widespread adoption of information and communications technology (ICT), the phenomenon has become mainstream and is facilitated through digital platforms. Improving efficiency in asset utilization, such innovative forms of market interaction between suppliers and consumers, represent a sustainable solution to mitigate increasing challenges in cities concerning traffic and parking. Ideally, by having an array of shared mobility options that complement both each other and public transportation, users would be able to select an adequate solution for each occasion.This session welcomes contributions addressing modeling, methodological, or game-theoretical aspects of implementing sustainable, efficient, and convenient shared mobility services. We aim to present original as well as innovative applications that explore current and upcoming technological advances, such as vehicle automation, to improve the status of urban transportation. Topics of interest include, but are not restricted to: • shared mobility services • scooter, car, and bike sharing • ride sharing and ride hailing • carpooling • user-based operations in sharing systems • dynamic pricing in shared mobility • vehicle repositioning Important dates - May 1: Submission deadline full papers (conference proceedings) - June 12: Submission deadline abstracts for presentation only For more information, visit: https://iccl2020.nl/
Project
Address current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving. In i-CAVE, a Cooperative Dual Mode Automated Transport (C-DMAT) system is researched and designed, consisting of dual mode vehicles which can be driven automatically and manually to allow maximum flexibility. The program integrates technological road maps for automated and cooperative driving, accelerating the development of novel transportation systems addressing today and future mobility demands. Access https://i-cave.nl/ for more information.
Project
Develop methods to control service quality on an operational planning level. An autonomous mobility-on-demand (AMoD) provider have to comply with the minimum service quality thresholds of a heterogeneous user base, and rejections are not allowed.