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 | 30 | 2017 |
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 | 17 | 2012 |
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 | 12 | 2013 |
AequilibraE: a free QGIS add-on for transportation modeling P Camargo Foss4g North America, 2015 | 10 | 2015 |
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 | 7 | 2012 |
Análise de um sistema de transporte ferroviário de granéis agrícolas através de uma abordagem integrada simulação-otimização. PV Camargo Universidade de São Paulo, 2010 | 6 | 2010 |
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 | 4 | 2019 |
Validating truck route enumeration algorithms using GPS data PV Camargo, A Tok Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 4 | 2014 |
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 | 3 | 2016 |
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 | 3 | 2012 |
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 | 2 | 2021 |
Using Delaunay tringles to build desire lines P Camargo Opgehaald van XL-Optim: https://xl-optim. com/delaunay, 2014 | 2 | 2014 |
Freight operational characteristics mined from anonymous mobile sensor data T Akter, S Hernandez, PV Camargo Transportation Research Record 2677 (9), 236-247, 2023 | 1 | 2023 |
Spatial disaggregation of California freight demand for regional planning models PV Camargo, AY Tok, SG Ritchie ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia, 2016 | 1 | 2016 |
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 |