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Pedro Camargo
Pedro Camargo
Outer Loop Consulting
Verified email at margo.co - Homepage
Title
Cited by
Cited by
Year
Expanding the uses of truck GPS data in freight modeling and planning activities
P Camargo, S Hong, V Livshits
Transportation Research Record 2646 (1), 68-76, 2017
302017
Geographic scalability and supply chain elasticity of a structural commodity generation model using public data
F Ranaiefar, JYJ Chow, D Rodriguez-Roman, PV Camargo, SG Ritchie
Transportation Research Record: Journal of the Transportation Research Board …, 2012
172012
Structural commodity generation model that uses public data: geographic scalability and supply chain elasticity analysis
F Ranaiefar, JYJ Chow, D Rodriguez-Roman, PV Camargo, SG Ritchie
Transportation research record 2378 (1), 73-83, 2013
122013
AequilibraE: a free QGIS add-on for transportation modeling
P Camargo
Foss4g North America, 2015
102015
Um modelo híbrido simulação-otimização para análise de capacidade de um sistema de transporte ferroviário de granéis agrícolas em ciclo fechado
PV Camargo, CB Cunha
Journal of Transport Literature 6, 33-65, 2012
72012
Análise de um sistema de transporte ferroviário de granéis agrícolas através de uma abordagem integrada simulação-otimização.
PV Camargo
Universidade de São Paulo, 2010
62010
Toll Choice and Stochastic User Equilibrium: Ticking All the Boxes
JC Zill, P Camargo, NS Daisy, T Veitch
Transportation Research Record 2673 (4), 930-940, 2019
42019
Validating truck route enumeration algorithms using GPS data
PV Camargo, A Tok
Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014
42014
Vehicle route reconstruction from GPS data: a map-matching algorithm harnessing open source software
PV Camargo, SV Hernandez
ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia, 2016
32016
An hybrid simulation-optimization model for assessing the capacity of a closed-loop rail transport system for bulk agricultural grains
PV Camargo, CB Cunha
Journal of Transport Literature 6, 33-65, 2012
32012
Mobility-as-a-Service and Demand-Responsive Transport: Practical Implementation in Traditional Forecasting Models
P Camargo, E Pammenter, A Inayathusein
Transportation Research Record 2675 (2), 15-24, 2021
22021
Using Delaunay tringles to build desire lines
P Camargo
Opgehaald van XL-Optim: https://xl-optim. com/delaunay, 2014
22014
Freight operational characteristics mined from anonymous mobile sensor data
T Akter, S Hernandez, PV Camargo
Transportation Research Record 2677 (9), 236-247, 2023
12023
Spatial disaggregation of California freight demand for regional planning models
PV Camargo, AY Tok, SG Ritchie
ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia, 2016
12016
AequilibraE and Tradesman: current state of affairs of modelling with open-source software
P Camargo
Australasian Transport Research Forum (ATRF), 44th, 2023, Perth, Western …, 2023
2023
Performance effects of heap structure choice for path finding: A traffic modelling perspective
J Moss, C O’Brien, J Cook, P Camargo
Australasian Transport Research Forum (ATRF), 44th, 2023, Perth, Western …, 2023
2023
Network resilience analysis with large streams of mobility data and Open Source software
P Camargo
Australasian Transport Research Forum (ATRF), 43rd, 2022, Adelaide, South …, 2022
2022
Freight modelling in Australia in 2021–A data availability perspective
C McHugh, P Camargo, T van Vuren
Australasian Transport Research Forum (ATRF), 42nd, 2021, Brisbane …, 2021
2021
Data Framework for Megaregion Freight Models
K Viswanathan, M Khurana, V Livshits, S Nippani, P Camargo
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
2018
Improving a traditional 4-step transport model with a Departure Time Choice model component
P Camargo, T Spalding, A Alaimo
Australasian Transport Research Forum (ATRF), 39th, 2017, Auckland, New Zealand, 2017
2017
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