| Transit network design: A procedure and an application to a large urban area E Cipriani, S Gori, M Petrelli Transportation Research Part C: Emerging Technologies 20 (1), 3-14, 2012 | 285 | 2012 |
| A gradient approximation approach for adjusting temporal origin–destination matrices E Cipriani, M Florian, M Mahut, M Nigro Transportation Research Part C: Emerging Technologies 19 (2), 270-282, 2011 | 160 | 2011 |
| Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation C Antoniou, J Barceló, M Breen, M Bullejos, J Casas, E Cipriani, B Ciuffo, ... Transportation Research Part C: Emerging Technologies 66, 79-98, 2016 | 135 | 2016 |
| Transit network design with allocation of green vehicles: A genetic algorithm approach B Beltran, S Carrese, E Cipriani, M Petrelli Transportation Research Part C: Emerging Technologies 17 (5), 475-483, 2009 | 134 | 2009 |
| 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 | 90 | 2017 |
| An adaptive bi-level gradient procedure for the estimation of dynamic traffic demand G Cantelmo, E Cipriani, A Gemma, M Nigro IEEE Transactions on Intelligent Transportation Systems 15 (3), 1348-1361, 2014 | 78 | 2014 |
| Feeder bus network design problem: A new metaheuristic procedure and real size applications F Ciaffi, E Cipriani, M Petrelli Procedia-Social and Behavioral Sciences 54, 798-807, 2012 | 78 | 2012 |
| Combined signal setting design and traffic assignment problem E Cipriani, G Fusco European Journal of Operational Research 155 (3), 569-583, 2004 | 72 | 2004 |
| 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 | 64 | 2019 |
| A bus network design procedure with elastic demand for large urban areas E Cipriani, S Gori, M Petrelli Public transport 4, 57-76, 2012 | 62 | 2012 |
| Exploiting floating car data for time-dependent Origin–Destination matrices estimation M Nigro, E Cipriani, A del Giudice Journal of Intelligent Transportation Systems 22 (2), 159-174, 2018 | 60 | 2018 |
| Strategies and measures for sustainable urban transport systems L Persia, E Cipriani, V Sgarra, E Meta Transportation Research Procedia 14, 955-964, 2016 | 44 | 2016 |
| A multimodal transit network design procedure for urban areas E Cipriani, M Petrelli, G Fusco Advances in transportation studies 10, 5-20, 2006 | 40 | 2006 |
| Two-step approach for correction of seed matrix in dynamic demand estimation G Cantelmo, F Viti, CMJ Tampère, E Cipriani, M Nigro Transportation Research Record 2466 (1), 125-133, 2014 | 37 | 2014 |
| Two-step approach for correction of seed matrix in dynamic demand estimation G Cantelmo, F Viti, CMJ Tampère, E Cipriani, M Nigro Transportation Research Record 2466 (1), 125-133, 2014 | 37 | 2014 |
| Effectiveness of link and path information on simultaneous adjustment of dynamic OD demand matrix E Cipriani, M Nigro, G Fusco, C Colombaroni European Transport Research Review 6, 139-148, 2014 | 35 | 2014 |
| Data accuracy on automatic traffic counting: the SMART project results P Bellucci, E Cipriani European transport research review 2, 175-187, 2010 | 35 | 2010 |
| 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 | 34 | 2017 |
| Heuristic methods for the optimal location of road traffic monitoring E Cipriani, G Fusco, S Gori, M Petrelli 2006 IEEE Intelligent Transportation Systems Conference, 1072-1077, 2006 | 30 | 2006 |
| Advanced traffic data for dynamic OD demand estimation: The state of the art and benchmark study T Djukic, J Barceló Bugeda, M Bullejos, L Montero Mercadé, E Cipriani, ... TRB 94th Annual Meeting Compendium of Papers, 1-16, 2015 | 28 | 2015 |
