Andrés Fielbaum

ORCID: 0000-0003-0411-3064
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About
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Research Areas
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Sharing Economy and Platforms
  • Urban Transport and Accessibility
  • Smart Parking Systems Research
  • Urban and Freight Transport Logistics
  • Optimization and Search Problems
  • Vehicle Routing Optimization Methods
  • Older Adults Driving Studies
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Packing Problems
  • Auction Theory and Applications
  • Digital Economy and Work Transformation
  • Traffic control and management
  • Consumer Market Behavior and Pricing
  • Urban Design and Spatial Analysis
  • Game Theory and Voting Systems
  • Vehicle License Plate Recognition
  • Regional Economics and Spatial Analysis
  • Consumer Retail Behavior Studies
  • Advanced Optical Network Technologies
  • Traffic and Road Safety
  • Human-Automation Interaction and Safety
  • COVID-19 Pandemic Impacts

Delft University of Technology
2020-2024

The University of Sydney
2023-2024

California Maritime Academy
2024

University of Chile
2016-2020

Complex Engineering System Institute
2020

University of O'Higgins
2020

On-demand systems in which passengers with similar routes can share a vehicle are expected to become relevant part of future mobility, thanks their flexibility and potential impact on reducing congestion. Nevertheless, due the long detours required by door-to-door scheme, they induce extra costs users terms delay. In this paper, we face design such system might be requested online walk towards/from nearby pick-up/drop-off points if improves overall efficiency. We show theoretically that...

10.1016/j.trc.2021.103061 article EN cc-by Transportation Research Part C Emerging Technologies 2021-03-14

This paper studies the multi-robot task assignment problem in which a fleet of dispersed robots needs to efficiently transport set dynamically appearing packages from their initial locations corresponding destinations within prescribed time-windows. Each robot can carry multiple simultaneously its capacity. Given sufficiently large fleet, objective is minimize robots' total travel time respective time-window constraints. The shown be NP-hard, and we design two group-based distributed auction...

10.1109/tase.2022.3175040 article EN IEEE Transactions on Automation Science and Engineering 2022-05-25

On-demand ridepooling (ODRP) vehicles follow routes that are fully flexible. However, when the system does not provide door-to-door service and users can be asked to walk, their paths tend concentrate, particularly along main streets connect highly demanded areas of city. These frequently travelled segments hence useful multiple passengers, which used as an indicator it would efficient allocate a fixed public transport line there. In this paper, we formalise idea propose novel method design...

10.1016/j.trc.2024.104580 article EN cc-by Transportation Research Part C Emerging Technologies 2024-03-01

10.1016/j.trb.2025.103156 article EN cc-by Transportation Research Part B Methodological 2025-01-28

Abstract Ride-hailing (ridesourcing) companies such as Uber, Lyft, and Didi Chuxing have been a disruptive force in the urban mobility landscape around world during past decade. In this paper, we analyse working conditions, earnings, job satisfaction of ride-hailing drivers. We begin by discussing regulatory, labour, financial, effects companies. Then, present results self-administered survey to drivers Chile, which is complemented with use online tools for estimation driving earnings. Our...

10.1007/s11116-020-10127-7 article EN cc-by Transportation 2020-06-30

Transport workers were among the most affected by COVID-19 crisis. In several countries, public transport and delivery drivers considered essential during pandemic, while demand changed dramatically. this context, little is known about actual effects of pandemic on lives drivers, whether those depend type formality corresponding job. paper, we analyse impact daily jobs transport, ride-hailing, app drivers: study changes working time income, pandemic-related concerns, deterioration job...

10.1016/j.tbs.2022.11.004 article EN cc-by Travel Behaviour and Society 2022-11-11

10.1016/j.trb.2016.10.003 article EN Transportation Research Part B Methodological 2016-10-14

10.1016/j.trd.2024.104373 article EN cc-by Transportation Research Part D Transport and Environment 2024-09-14

10.1007/s13177-019-00190-5 article EN International Journal of Intelligent Transportation Systems Research 2019-08-02

On-demand systems in which several users can ride simultaneously the same vehicle have great potential to improve mobility while reducing congestion. Nevertheless, they a significant drawback: actual realization of trip depends on other with whom it is shared, as might impose extra detours that increase waiting time and total delay; even chance being rejected by system travelers are using at time. In this paper we propose general description sources unreliability emerge ridesharing introduce...

10.1016/j.trc.2020.102831 article EN cc-by Transportation Research Part C Emerging Technologies 2020-10-22

Recent years have witnessed a reignition of the debate about free public transport, especially after wider implementation due to pandemic. However, most implementations consisted eliminating fare without further structural adjustments, and one main reported concerns is that they seem primarily attract commuters from active modes rather than car drivers. In this paper, we develop an analytical model investigate how design representative transport line, situated in corridor where it competes...

10.1016/j.trb.2024.102924 article EN cc-by Transportation Research Part B Methodological 2024-03-26

Abstract Integrating on-demand services into public transport networks might be the best way to face current situation in which these new technologies have increased congestion most cities. When cooperating with rather than competing them, would not risk losing users, and could attract some passengers from private modes thanks an quality of service. This fact has engendered a growing literature discussing how design such integrated system. However, all that research imposed mobility is solve...

10.1007/s12469-023-00348-1 article EN cc-by Public Transport 2024-09-02

Sharing rides in on-demand systems allow passengers to reduce their fares and service providers increase revenue, though at the cost of adding uncertainty system. Notably, ride-pooling stems not only from travel times but also unique features sharing, such as dependency on other passengers' arrival time pick up points. In this work, we theoretically experimentally analyse how late arrivals locations impact shared rides' performance. We find that total delay is equally distributed among...

10.1080/23249935.2020.1829170 article EN cc-by-nc-nd Transportmetrica A Transport Science 2020-10-13

Within the context of a shared on-demand transport system, we study problem selecting stopping points from which passengers should walk to their exact destinations (or origins). We focus on single-vehicle case that must follow predefined order requests, posing mathematical program, showing it can be solved in polynomial time and proposing heuristic runs faster. compare optimal algorithm, heuristic, routes visit request points, show avoiding detours reduce total costs by almost one fifth...

10.1080/15472450.2021.1901225 article EN cc-by-nc-nd Journal of Intelligent Transportation Systems 2021-03-18

Emerging on-demand sharing alternatives, in which one resource is utilised simultaneously by a circumstantial group of users, entail several challenges regarding how to coordinate such users. A very relevant case refers form groups mobility system that offers shared rides, and split the costs within travellers group. These are non-trivial tasks, as two objectives conflict: 1) minimising total system, 2) finding an equilibrium where each user content with her assignment. Aligning both...

10.1016/j.ejor.2021.11.041 article EN cc-by European Journal of Operational Research 2021-11-25
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