University of Rome Tor Vergata
The University of Rome Tor Vergata is a public academic institution, established in 1981.
The mission of the University of Rome Tor Vergata is to contribute to people’s education and training, to scientific research and to the technological, organisational and social innovation needed to achieve a truly sustainable development in Italy, Europe and worldwide pursuant to the Sustainable Development Goals approved by the United Nations in September 2015. UNITOV is part of UNICA, Network of Universities from the Capitals of Europe, YERUN, Young European Research Universities Network, and active in EAIE events. UNITOV has about 39.000 students, 108 degree courses (1st, 2nd level, single cycle), 31 PhD courses (3rd level) and 200 specialisation courses mainly in health area (2nd and 3rd level). In recent years, it has included 16 programs entirely taught in English in its international degree. UNITOV has 1335 teaching staff units and 980 admin staff units.
The research and teaching activities in Transport are performed by the Transport Research Group (TRG), which is part of the Department of Enterprise Engineering “Mario Lucertini”.
Department of Enterprise Engineering “Mario Lucertini”
Transportation and Logistics Study Unit
The research and teaching activities in Transportation are performed by the Transport and Logistics Study Unit (TLSU), which is part of the Department of Enterprise Engineering.
TLSU was ranked as The First Italian Research Group in Transportation Sector in the two latest VQR (eValuation of the Quality of Research) promoted by National Agency for the Evaluation of the University and Research Systems.
It has carried on several research projects and empirical applications to case studies, aiming at integrating the principles of sustainability into the theory and the practice of transportation planning and modelling, including intelligent transportation systems (ITS).
TRG experience strictly related to the proposal refers to the development of sustainable modes investigating Travel Demand Management policies and has developed an innovative approach for the simulation of Transportation Networks (i.e. schedule-based approach), world-wide acknowledgement as one of the most advanced and powerful tools for Transportation System analysis and design. Besides, the TRG research activities cover the following areas: traveller behavioural models for ITS and ICT contexts, demand and supply models for urban freight transport and city logistics, assignment models for transit networks, land use and transport interaction models, trip chain models in urban areas, simulation models for road accidents, DSS for strategic and tactical transportation planning, and advanced traveller info systems.
To disseminate research results, the TRG has been involving into the organization of scientific workshops and advanced courses on Transportation networks modelling together with several prestigious Universities as the Massachusetts Institute of Technology, the Hong Kong Polytechnic University (China), the University of Cantabria, Santander (Spain); the Ecole des Mines de Saint-Etienne (France); the Research Center for Transport and Logistics (CTL) at Sapienza University of Rome (Italy) and the Laboratory of Transportation System Analysis (LAST) at Mediterranea University of Reggio Calabria (Italy).
Keywords: transport, transport systems and logistics, intelligent transport systems, mobility, travellers’ behavior, city logistics.
Contact Person: Prof. Antonio COMI.
Address: Via del Politecnico 1, 00133 Rome (Italy, EU).
Web address: http://www.dii.uniroma2.it
Social pages: www.facebook.com/ingegneriagestionaletorvergata; Twitter.com/ingimpresa.
UNITOV Team in SmaLog
|Name and Surname||Title|
|Agostino Nuzzolo||Full Professor||nuzzolo[at]ing.uniroma2.it|
|Umberto Crisalli||PhD, Associate Professor||crisalli[at]ing.uniroma2.it|
|Pierluigi Coppola||PhD, Associate Professor||coppola[at]ing.uniroma2.it|
|Antonio Comi||PhD, Associate Professor||comi[at]ing.uniroma2.it|
|Antonio Polimeni||PhD, Research Followership||antonio.polimeni[at]uniroma2.it|
|Giuseppe Vaccaro||Research Followership||giuseppe.vaccaro[at]uniroma2.it|
|Cinthia Campi||Tenured Assistant Professoremail@example.com|
Main international publication of the team
|Nuzzolo, A. and Lam, W.H.K. (eds.; 2017). Modelling Intelligent Multi-Modal Transit Systems, CRC Press, Taylor & Francis Group, Boca Raton (FL, USA).|
|Russo, F. and Comi, A. (2017). From the analysis of European accident data to safety assessment for planning: the role of good vehicles in urban area. European Transport Research Review 9 (9), DOI 10.1007/s12544-017-0225-0, Springer Berlin Heidelberg.|
|Nuzzolo, A. and Comi, A. (2016). Advanced Public Transport and ITS: new modelling challenges. Transportmetrica A: Transport Science 12 (8), DOI: 10.1080/23249935.2016.1166158, Taylor & Francis, pp. 674 – 699.|
|Nuzzolo, A., Crisalli, U., Comi, A. and Rosati, L. (2016). A Mesoscopic Transit Assignment Model Including Real-Time Predictive Information on Crowding. Journal of Intelligent Transportation Systems 20 (4), DOI: 10.1080/15472450.2016.1164047, Taylor & Francis, pp. 316 – 333.|
|Nuzzolo, A. and Comi, A. (2016). Individual utility-based path suggestions in transit trip planners. IET Intelligent Transport Systems 10 (4), DOI: 10.1049/iet-its.2015.0138, The Institution of Engineering and Technology, pp. 219 – 226.|
|Nuzzolo, A., Comi, A., Ibeas, A. and Moura, J. L. (2016). Urban Freight Transport and City Logistics Policies: Indications from Rome, Barcelona and Santander. International Journal of Sustainable Transportation 10 (6), DOI: 10.1080/15568318.2015.1014778, Francis & Taylor, pp. 552-566.|
|Russo, F. and Comi, A. (2016). Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results. Sustainability 2016, 8 (4), 381, DOI: 10.3390/su8040381.|
|Cordera, R., Coppola, P., Dell’Olio, L., Ibeas A. (2016) Is accessibility relevant in trip generation? Modelling the interaction between trip generation and accessibility taking into account spatial effects. Transportation, pp. 1-27|
|Cascetta, E., Coppola, P., (2016). Assessment of schedule-based and frequency-based assignment models for strategic and operational planning of high-speed rail services. Transportation Research Part A 84, 93–108.|
|Nuzzolo, A. and Comi, A. (2015). Urban Freight Transport Policies in Rome: Lessons Learned and the Road Ahead. Journal of Urbanism: International Research on Placemaking and Urban Sustainability 8 (2), DOI: 10.1080/17549175.2014.884976, Taylor & Francis, 133 – 147. <see> SCOPUS ID: 2-s2.0-84929626838|
|Nuzzolo, A., Crisalli, U. and Comi, A. (2015). An aggregate transport demand model for import and export flow simulation. Transport 30 (1), DOI:10.3846/16484142.2013.820215, Francis & Taylor, 43-54|
|Nuzzolo, A. and Comi, A. (2014). Urban freight demand forecasting: a mixed quantity/delivery/vehicle-based model. Transportation Research Part E 65, DOI: 10.1016/j.tre.2013.12.014, Elsevier Ltd, 84-98.|
|Nuzzolo, A. and Comi, A. (2014). A system of models to forecast the effects of demographic changes on urban shop restocking. Research in Transportation Business & Management 11, DOI: 10.1016/j.rtbm.2014.03.001, Elsevier, 142 – 151.|
|Comi, A., Donnelly, R. and Russo, F. (2014). Urban freight models. Modelling Freight Transport, Tavasszy, L. and De Jong, J. (eds), chapter 8, DOI: 10.1016/B978-0-12-410400-6.00008-2, Elsevier, 163-200|
|Nuzzolo, A., Comi, A. and Rosati, L. (2014). City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems. International Journal of Urban Sciences 18 (2), DOI:10.1080/12265934.2014.928601, Taylor & Francis, 201-217.|
|Russo, F. and Comi, A. (2011). Measures for sustainable freight transportation at urban scale: expected goals and tested results in Europe. Journal of Urban Planning and Development 137 (2), DOI: 10.1061/(ASCE)UP.1943-5444.0000052, American Society of Civil Engineers (ASCE), 142-152.|
|Nuzzolo, A., Crisalli, U., Rosati, L. (2011). A schedule-based assignment model with explicit capacity constraints for congested transit networks. Transportation Research, Part C: Emerging Technologies, Elsevier.|
|Russo, F. and Comi, A. (2010). A modelling system to simulate goods movements at an urban scale. Transportation 37 (6), DOI: 10.1007/s11116-010-9276-y, Springer Science+Business Media, LLC, 987 – 1009.|
|Wilson, N.H.M. and A. Nuzzolo (eds; 2008). Schedule-Based Modeling of Transportation Networks. Theory and applications, Springer.|
|Wilson, N.H.M. and A. Nuzzolo (eds; 2003). “Advanced modelling for transit operations and service planning, Springer.|