Estimation of regional trip length distributions for the calibration of the aggregated network traffic models SFA Batista, L Leclercq, N Geroliminis Transportation Research Part B: Methodological 122, 192-217, 2019 | 50 | 2019 |
Calibration and validation of multi-reservoir MFD models: A case study in Lyon G Mariotte, L Leclercq, SFA Batista, J Krug, M Paipuri Transportation Research Part B: Methodological 136, 62-86, 2020 | 42 | 2020 |
Regional dynamic traffic assignment framework for macroscopic fundamental diagram multi-regions models SFA Batista, L Leclercq Transportation Science 53 (6), 1563-1590, 2019 | 39 | 2019 |
Effects of users’ bounded rationality on a traffic network performance: a simulation study SFA Batista, CL Zhao, L Leclercq Journal of Advanced Transportation 2018, 2018 | 17 | 2018 |
Lost siblings of the Sun: Revisiting the FGK potential candidates SFA Batista, J Fernandes New Astronomy 17 (5), 514-519, 2012 | 16 | 2012 |
Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths SFA Batista, L Leclercq, M Menendez Transportation Research Part C: Emerging Technologies 127, 103076, 2021 | 14 | 2021 |
Identification and characterizing of the prevailing paths on a urban network for MFD-based applications SFA Batista, M Seppecher, L Leclercq Transportation Research Part C: Emerging Technologies 127, 102953, 2021 | 13 | 2021 |
Searching for solar siblings among the HARPS data SFA Batista, VZ Adibekyan, SG Sousa, NC Santos, ED Mena, ... Astronomy & Astrophysics 564, A43, 2014 | 13 | 2014 |
The role of trip lengths calibration in model-based perimeter control strategies SFA Batista, D Ingole, L Leclercq, M Menéndez IEEE Transactions on Intelligent Transportation Systems 23 (6), 5176-5186, 2021 | 9 | 2021 |
The reference point in dynamic Prospect-based User Equilibrium: a simulation study SFA Batista, L Leclercq Transportation Letters 12 (8), 513-527, 2020 | 7 | 2020 |
Introduction of multi-regional mfd-based models with route choices: the definition of regional paths SFA Batista, L Leclercq PLURIS 2018-8th LUSO-23 BRAZILIAN CONGRESS for Urban, Regional, Integrated …, 2018 | 7 | 2018 |
On the application of variational theory to urban networks G Tilg, L Ambühl, S Batista, M Menendez, F Busch Transportation Research Part B: Methodological 150, 435-456, 2021 | 6 | 2021 |
Regional dynamic traffic assignment with bounded rational drivers as a tool for assessing the emissions in large metropolitan areas SFA Batista, L Leclercq Transportation Research Interdisciplinary Perspectives 8, 100248, 2020 | 5 | 2020 |
Trip length estimation for the macroscopic traffic simulation: scaling microscopic into macroscopic networks S Batista, L Leclercq, J Krug, N Geroliminis TRB 2018, Transportation research board annual meeting, 22p, 2018 | 4 | 2018 |
Semi-analytical estimation of macroscopic fundamental diagrams: From corridors to networks G Tilg, L Ambuhl, S Batista, M Menendez, L Leclercq, F Busch TRB 2021, Transportation Research Board 100th Annual Meeting-A Virtual Event, 9p, 2021 | 3 | 2021 |
The calculation of the virtual set of trips for the calibration of aggregated traffic models SFA Batista, G Cantelmo, M Menendez, C Antoniou 3rd Symposium on Management of Future Motorway and Urban Traffic Systems, 2020 | 3 | 2020 |
A dynamic traffic assignment framework for mfd multi-regional models SFA Batista, L Leclercq Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | 3 | 2019 |
Exploring the potential of aggregated traffic models for estimating network-wide emissions SFA Batista, G Tilg, M Menéndez Transportation Research Part D: Transport and Environment 109, 103354, 2022 | 2 | 2022 |
A Gaussian sampling heuristic estimation model for developing synthetic trip sets SFA Batista, G Cantelmo, M Menéndez, C Antoniou Computer‐Aided Civil and Infrastructure Engineering 37 (1), 93-109, 2022 | 2 | 2022 |
On the partitioning of urban networks for MFD-based applications using Gaussian Mixture Models SFA Batista, C Lopez, M Menéndez 2021 7th International Conference on Models and Technologies for Intelligent …, 2021 | 2 | 2021 |