Data-driven perspectives for energy efficient operations in railway systems: Current practices and future opportunities V De Martinis, F Corman Transportation Research Part C: Emerging Technologies 95, 679-697, 2018 | 57 | 2018 |
Models and methods to optimise train speed profiles with and without energy recovery systems: a suburban test case V De Martinis, M Gallo Procedia-Social and Behavioral Sciences 87, 222-233, 2013 | 48 | 2013 |
Human-like adaptive cruise control systems through a learning machine approach F Simonelli, GN Bifulco, V De Martinis, V Punzo Applications of Soft Computing: Updating the State of Art, 240-249, 2009 | 48 | 2009 |
Estimating the benefits of energy-efficient train driving strategies: a model calibration with real data V De Martinisl, M Gallo, L D’Acierno Urban Transport XIX 130, 201, 2013 | 28 | 2013 |
What about train length and energy efficiency of freight trains in rescheduling models? A Toletti, V De Martinis, U Weidmann Transportation Research Procedia 10, 584-594, 2015 | 23 | 2015 |
Definition of energy-efficient speed profiles within rail traffic by means of supply design models V De Martinis, UA Weidmann Research in Transportation Economics 54, 41-50, 2015 | 22 | 2015 |
Estimating the effects of energy-efficient driving profiles on railway consumption M Gallo, F Simonelli, G De Luca, V De Martinis 2015 IEEE 15th International Conference on Environment and Electrical …, 2015 | 21 | 2015 |
Towards a simulation-based framework for evaluating energy-efficient solutions in train operation V De Martinis, U Weidmann, M Gallo Computers in Railways XIV 135, 721-732, 2014 | 20 | 2014 |
A simulation-based approach for evaluating train operating costs under different signalling systems G Corapi, D Sanzari, V De Martinis, L D’Acierno, B Montella WIT Transactions on the Built Environment 130, 149-161, 2013 | 15 | 2013 |
The effects of urban traffic plans on noise abatement: a case study M Gallo, G De Luca, V De Martinis WIT Transactions on Ecology and the Environment 191, 583-594, 2014 | 14 | 2014 |
The evolution and planning of hierarchical transport networks V De Martinis, F Pagliara, A Wilson Environment and Planning B: Planning and Design 41 (2), 192-210, 2014 | 12 | 2014 |
Agent-based simulation approach for disruption management in rail schedule N Leng, V De Martinis, F Corman Conference on Advanced Systems in Public Transport and TransitData (CASPT 2018), 2018 | 11 | 2018 |
Filtering approaches for online train motion estimation with onboard power measurements PG Sessa, V De Martinis, F Corman Computer‐Aided Civil and Infrastructure Engineering 35 (5), 415-429, 2020 | 10 | 2020 |
Impacts of energy saving strategies (ESSs) on rail services and related effects on travel demand G Corapi, V De Martinis, A Placido, G De Luca WIT Transactions on the Built Environment 135, 709-720, 2014 | 10 | 2014 |
Energy savings in mixed rail traffic rescheduling: an RCG approach A Toletti, V De Martinis, U Weidmann 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 8 | 2016 |
Online microscopic calibration of train motion models: towards the era of customized control solutions V De Martinis, F Corman RailNorrköping 2019. 8th International Conference on Railway Operations …, 2019 | 6 | 2019 |
Pathways to a net zero CO₂ Swiss mobility system: SCCER Mobility Whitepaper K Boulouchos, C Bach, C Bauer, D Bucher, D Cerruti, A Dehdarian, ... White Paper, 2021 | 5 | 2021 |
Feedforward tactical optimization for energy-efficient operation of freight trains: the Swiss case V De Martinis, A Toletti, F Corman, UA Weidmann, A Nash Transportation Research Record 2672 (10), 278-288, 2018 | 3 | 2018 |
Improving energy efficiency for freight trains during operation: The use of simulation V De Martinis, UA Weidmann 2016 IEEE 16th International Conference on Environment and Electrical …, 2016 | 3 | 2016 |
The evaluation of energy efficient solutions in train operation: a simulation-based approach V De Martinis, UA Weidmann 14th Swiss Transport Research Conf.(STRC 2014), Switzerland, 2014 | 3 | 2014 |