Profil

CANTELMO Guido

Main Referenced Co-authors
VITI, Francesco  (26)
Cipriani, Ernesto (5)
Nigro, Marialisa (5)
CAPPONI, Andrea  (3)
FIANDRINO, Claudio  (3)
Main Referenced Keywords
urban computing (2); bilevel optimisation (1); Calibration (1); data center deployment (1); Departure Time Choice (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab) (1)
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (21)
Computer science (5)
Civil engineering (4)

Publications (total 30)

The most downloaded
356 downloads
Cantelmo, G. (2018). Dynamic Origin-Destination Matrix Estimation with Interacting Demand Patterns [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/36549 https://hdl.handle.net/10993/36549

The most cited

25 citations (Scopus®)

Cantelmo, G., Viti, F., Tampère, C. M. J., Cipriani, E., & Nigro, M. (10 February 2014). A TWO-STEP APPROACH FOR THE CORRECTION OF THE SEED MATRIX IN THE DYNAMIC DEMAND ESTIMATION. Transportation Research Record: Journal of the Transportation Research Board, 2466. doi:10.3141/2466-14 https://hdl.handle.net/10993/16952

Vitello, P., Capponi, A., Fiandrino, C., Cantelmo, G., & Kliazovich, D. (2021). Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments. IEEE Transactions on Sustainable Computing. doi:10.1109/TSUSC.2021.3056621
Peer reviewed

Vitello, P., Capponi, A., Fiandrino, C., Cantelmo, G., & Kliazovich, D. (2019). The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments. In IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019.
Peer reviewed

Capponi, A., Vitello, P., Fiandrino, C., Cantelmo, G., Kliazovich, D., Sorger, U., & Bouvry, P. (2019). Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities. In IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, 2019.
Peer reviewed

Cantelmo, G., & Viti, F. (2019). A Big Data Demand Estimation Framework for Modelling of Urban Congested Networks. In CSUM 2018, AISC 879 proceedings. Springer.
Peer reviewed

Cantelmo, G., & Viti, F. (2018). Incorporating activity duration and scheduling utility into equilibrium-based Dynamic Traffic Assignment. Transportation Research. Part B, Methodological. doi:10.1016/j.trb.2018.08.006
Peer Reviewed verified by ORBi

Cantelmo, G., Viti, F., Nigro, M., & Cipriani, E. (2018). A utility-based dynamic demand estimation model that explicitly accounts for activity scheduling and duration. Transportation Research. Part A, Policy and Practice. doi:10.1016/j.tra.2018.01.039
Peer Reviewed verified by ORBi

Cantelmo, G. (2018). Dynamic Origin-Destination Matrix Estimation with Interacting Demand Patterns [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/36549

Cantelmo, G., Qurashi, M., Prakash, A., Antoniou, C., & Viti, F. (2018). Utility-Based Kalman Filtering for real-time estimation of daily demand flows [Paper presentation]. 7rd hEART Conference.

Cantelmo, G., & Viti, F. (January 2018). Evaluating the reliability of the Utility-Based Dynamic OD Estimation on Large Networks [Paper presentation]. 7th International Symposium on Transportation Network Reliability, Sydney, Australia.

Cantelmo, G., & Viti, F. (January 2018). Assessing the Performance of a Two-Step Dynamic Demand Estimation Model on Large-Scale Congested Networks [Poster presentation]. TRB Annual Conference.

Toader, B., Cantelmo, G., Popescu, M., & Viti, F. (2018). Using Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysis [Paper presentation]. IEEE 21th International Conference on Intelligent Transportation Systems.

Faye, S., Cantelmo, G., Tahirou, I., Derrmann, T., Viti, F., & Engel, T. (2017). Demo: MAMBA: A Platform for Personalised Multimodal Trip Planning.

Cantelmo, G., Viti, F., & Derrmann, T. (2017). Effectiveness of the Two-Step Dynamic Demand Estimation model on large networks. Proceedings of 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). doi:10.1109/MTITS.2017.8005697
Peer reviewed

Scheffer, A. H. M., Cantelmo, G., & Viti, F. (May 2017). Generating purpose-dependent production factors through Monte Carlo sampling techniques [Paper presentation]. BIVEC Transport Research Day. doi:10.1016/j.trpro.2017.12.111

Scheffer, A. H. M., Cantelmo, G., & Viti, F. (2017). Generating Macroscopic, Purpose-Dependent Production Factors Through Monte Carlo Sampling Techniques. Transportation Research Procedia. doi:10.1016/j.trpro.2017.12.111
Peer Reviewed verified by ORBi

Cantelmo, G., Viti, F., & Rinaldi, M. (2016). A network-wide assessment of local signal control policies’ performance in practical implementations. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on. IEEE.
Peer reviewed

Cantelmo, G., & Viti, F. (July 2016). Effects of incorporating activity duration and scheduling utility on the equilibrium-based dynamic traffic assignment [Paper presentation]. DTA 2016.

Viti, F., & Cantelmo, G. (2015). A Markov chain dynamic model for trip generation and distribution based on CDR. Periodica Polytechnica Transportation Engineering.
Peer reviewed

Cantelmo, G., Viti, F., Rinaldi, M., Tampere, C. M. J., Smith, M. J., & Nokel, K. (2015). Systematic analysis of global and local control policies. Periodica Polytechnica Transportation Engineering.
Peer reviewed

Cantelmo, G., Viti, F., Cipriani, E., & Nigro, M. (2015). A two-steps dynamic demand estimation approach sequentially adjusting generations and distributions. In Proceedings of IEEE-ITS Conference. doi:10.1109/ITSC.2015.241
Peer reviewed

Cipriani, E., Del Giudice, A., Nigro, M., Cantelmo, G., & Viti, F. (2015). The Impact of Route Choice Modeling on Dynamic OD Estimation. In Proceedings of IEEE-ITS Conference. doi:10.1109/ITSC.2015.242
Peer reviewed

Cantelmo, G., & Viti, F. (September 2015). On the link between activity patterns and traffic within-day demand profiles: empirical analysis and application to demand estimation [Paper presentation]. hEART 2015.

Viti, F., Cantelmo, G., Rinaldi, M., & Corman, F. (August 2015). Improving the reliability of demand estimation using traffic counts by including information on link flow observability [Paper presentation]. 5th International Symposium of Traffic Network Reliability.

Hadjidimitriou, S. N., Dell'Amico, M., Cantelmo, G., & Viti, F. (2015). Assessing the consistency between observed and modelled route choices through GPS data. In Proceedings of the MT-ITS Conference.
Peer reviewed

Di Donna, S. A., Cantelmo, G., & Viti, F. (2015). A Markov Chain dynamic model for trip generation and distribution based on CDR. In Proceedings of the MT-ITS Conference.
Peer reviewed

Cantelmo, G., Viti, F., Rinaldi, M., Tampere, C. M. J., Smith, M. J., & Nokel, K. (2015). Systematic assessment of local & global control policies: A methodological perspective. In Proceedings of the MT-ITS Conference.
Peer reviewed

Cantelmo, G., Viti, F., Cipriani, E., & Nigro, M. (16 January 2015). IMPROVING THE RELIABILITY OF A TWO-STEPS DYNAMIC DEMAND ESTIMATION APPROACH BY SEQUENTIALLY ADJUSTING GENERATIONS AND DISTRIBUTIONS [Poster presentation]. TRB Annual Meeting, Washington DC, United States. doi:10.1109/ITSC.2015.241

Cantelmo, G., Viti, F., Rinaldi, M., Tampere, C. M. J., Smith, M. J., & Nokel, K. (2015). Systematic assessment of local & global signal control policies: A methodological perspective. Proceedings of 2015 International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015, 156-163. doi:10.1109/MTITS.2015.7223251
Peer reviewed

Cantelmo, G., Viti, F., Tampère, C. M. J., Cipriani, E., & Nigro, M. (10 February 2014). A TWO-STEP APPROACH FOR THE CORRECTION OF THE SEED MATRIX IN THE DYNAMIC DEMAND ESTIMATION. Transportation Research Record: Journal of the Transportation Research Board, 2466. doi:10.3141/2466-14
Peer reviewed

Cantelmo, G., Viti, F., & Tampere, C. M. J. (2014). Exploiting the relation between Activity Data and Traffic Data within the Dynamic Demand Estimation Problem [Paper presentation]. 3rd hEART Conference, Leeds, United Kingdom.

Contact ORBilu