| Simulation based population synthesis B Farooq, M Bierlaire, R Hurtubia, G Flötteröd Transportation Research Part B: Methodological 58, 243-263, 2013 | 253 | 2013 |
| Virtual immersive reality for stated preference travel behavior experiments: A case study of autonomous vehicles on urban roads B Farooq, E Cherchi, A Sobhani Transportation research record 2672 (50), 35-45, 2018 | 126 | 2018 |
| A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatures A Danalet, B Farooq, M Bierlaire Transportation Research Part C: Emerging Technologies, 2014 | 122 | 2014 |
| Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation R Tu, YJ Gai, B Farooq, D Posen, M Hatzopoulou Applied Energy 277, 115517, 2020 | 112 | 2020 |
| A multi-layered blockchain framework for smart mobility data-markets D Lopez, B Farooq Transportation Research Part C: Emerging Technologies 111, 588-615, 2020 | 112 | 2020 |
| Hidden Markov Model-based population synthesis I Saadi, A Mustafa, J Teller, B Farooq, M Cools Transportation Research Part B: Methodological 90, 1-21, 2016 | 100 | 2016 |
| Online political participation: Slacktivism or efficiency increased activism? Evidence from the Brazilian Ficha Limpa campaign A Breuer, B Farooq Evidence from the Brazilian Ficha Limpa Campaign (May 1, 2012), 2012 | 99 | 2012 |
| A macroscopic loading model for time-varying pedestrian flows in public walking areas FS Hänseler, M Bierlaire, B Farooq, T Mühlematter Transportation Research Part B: Methodological 69, 60-80, 2014 | 98 | 2014 |
| Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality A Sobhani, B Farooq Transportation Research Part F: Traffic Psychology and Behaviour, 2018 | 86 | 2018 |
| Distributed classification of urban congestion using VANET R Al Mallah, A Quintero, B Farooq IEEE Transactions on Intelligent Transportation Systems 18 (9), 2435-2442, 2017 | 85 | 2017 |
| Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey A Yazdizadeh, Z Patterson, B Farooq IEEE Transactions on Intelligent Transportation Systems, 2019 | 83 | 2019 |
| ResLogit: A residual neural network logit model for data-driven choice modelling M Wong, B Farooq Transportation Research Part C: Emerging Technologies 126, 103050, 2021 | 73* | 2021 |
| Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations R Tu, L Alfaseeh, S Djavadian, B Farooq, M Hatzopoulou Transportation Research Part D: Transport and Environment 73, 142-151, 2019 | 66 | 2019 |
| A context-aware pedestrian trajectory prediction framework for automated vehicles A Kalatian, B Farooq Transportation Research Part C: Emerging Technologies 134, 2022 | 62 | 2022 |
| Modeling location decisions of office firms: Introducing anchor points and constructing choice sets in the model system I Elgar, B Farooq, EJ Miller Transportation Research Record 2133 (1), 56-63, 2009 | 58 | 2009 |
| An automated approach from GPS traces to complete trip information A Yazdizadeh, Z Patterson, B Farooq International Journal of Transportation Science and Technology 8 (1), 82-100, 2019 | 56 | 2019 |
| Towards integrated land use and transportation: A dynamic disequilibrium based microsimulation framework for built space markets B Farooq, EJ Miller Transportation research part A: policy and practice 46 (7), 1030-1053, 2012 | 55 | 2012 |
| Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning A Kalatian, B Farooq Transportation research part C: emerging technologies 124, 102962, 2021 | 54 | 2021 |
| Greenhouse gas emission prediction on road network using deep sequence learning L Alfaseeh, R Tu, B Farooq, M Hatzopoulou Transportation Research Part D: Transport and Environment 88, 102593, 2020 | 51 | 2020 |
| Probabilistic speed–density relationship for pedestrian traffic M Nikolić, M Bierlaire, B Farooq, M de Lapparent Transportation Research Part B: Methodological 89, 58-81, 2016 | 50 | 2016 |
Michel BierlaireEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
