| Dynamic demand estimation and prediction for traffic urban networks adopting new data sources S Carrese, E Cipriani, L Mannini, M Nigro Transportation Research Part C: Emerging Technologies 81, 83-98, 2017 | 98 | 2017 |
| Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease F Aletta, S Brinchi, S Carrese, A Gemma, C Guattari, L Mannini, ... Noise Mapping 7 (1), 114-122, 2020 | 90 | 2020 |
| Congestion pricing policies: Design and assessment for the city of Rome, Italy E Cipriani, L Mannini, B Montemarani, M Nigro, M Petrelli Transport Policy 80, 127-135, 2019 | 72 | 2019 |
| On-street parking search time estimation using FCD data L Mannini, E Cipriani, U Crisalli, A Gemma, G Vaccaro Transportation Research Procedia 27, 929-936, 2017 | 43 | 2017 |
| Analysis and monitoring of post-COVID mobility demand in Rome resulting from the adoption of sustainable mobility measures S Carrese, E Cipriani, C Colombaroni, U Crisalli, G Fusco, A Gemma, ... Transport policy 111, 197-215, 2021 | 29 | 2021 |
| Assessing the impact of Autonomous Vehicles on urban noise pollution SM Patella, F Aletta, L Mannini Noise Mapping 6 (1), 72-82, 2019 | 25 | 2019 |
| On the short-term prediction of traffic state: an application on urban freeways in Rome L Mannini, S Carrese, E Cipriani, U Crisalli Transportation Research Procedia 10, 176-185, 2015 | 22 | 2015 |
| Traffic state estimation based on data fusion techniques E Cipriani, S Gori, L Mannini 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 21 | 2012 |
| Bluetooth traffic data for urban travel time forecast S Carrese, E Cipriani, U Crisalli, A Gemma, L Mannini Transportation Research Procedia 52, 236-243, 2021 | 20 | 2021 |
| A dynamic mesoscopic emission model for signalized intersections S Gori, S La Spada, L Mannini, M Nigro 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 19 | 2013 |
| Traffic demand estimation using path information from Bluetooth data E Cipriani, A Gemma, L Mannini, S Carrese, U Crisalli Transportation research part C: emerging technologies 133, 103443, 2021 | 17 | 2021 |
| Emission dynamic meso‐simulation model to evaluate traffic strategies in congested urban networks S Gori, S La Spada, L Mannini, M Nigro IET Intelligent Transport Systems 9 (3), 333-342, 2015 | 17 | 2015 |
| Equity measures for the identification of public transport needs S Gori, L Mannini, M Petrelli Case Studies on Transport Policy 8 (3), 745-757, 2020 | 15 | 2020 |
| A procedure for urban route travel time forecast based on advanced traffic data: Case study of Rome E Cipriani, S Gori, L Mannini, S Brinchi 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 15 | 2014 |
| Within-day dynamic estimation of pollutant emissions: a procedure for wide urban network S Gori, S La Spada, L Mannini, M Nigro Procedia-Social and Behavioral Sciences 54, 312-322, 2012 | 14 | 2012 |
| Simulation framework for pedestrian dynamics: modelling and calibration C Liberto, M Nigro, S Carrese, L Mannini, G Valenti, C Zarelli IET Intelligent Transport Systems 14 (9), 1048-1057, 2020 | 10 | 2020 |
| Integration between activity-based demand models and multimodal assignment: Some empirical evidences E Cipriani, U Crisalli, A Gemma, L Mannini Case Studies on Transport Policy 8 (3), 1019-1029, 2020 | 10 | 2020 |
| On transport monitoring and forecasting during COVID-19 pandemic in Rome S Brinchi, S Carrese, E Cipriani, C Colombaroni, U Crisalli, G Fusco, ... Transport and Telecommunication 21 (4), 275-284, 2020 | 10 | 2020 |
| Comparing pre-and post-pandemic greenhouse gas and noise emissions from road traffic in Rome (Italy): a multi-step approach F Aletta, A Gemma, L Mannini, SM Patella Noise Mapping 9 (1), 204-210, 2022 | 8 | 2022 |
| The Car Following Model with Relative Speed in Front on the Three‐Lane Road Z Gao, N Zhang, L Mannini, E Cipriani Discrete Dynamics in Nature and Society 2018 (1), 7560493, 2018 | 7 | 2018 |
