Valerio De Martinis
Valerio De Martinis
ETH Zuerich, Institut für Verkehrsplanung und Transportsysteme
Verified email at ivt.baug.ethz.ch
Title
Cited by
Cited by
Year
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
342013
Human-like adaptive cruise control systems through a learning machine approach
F Simonelli, GN Bifulco, V De Martinis, V Punzo
Applications of Soft Computing, 240-249, 2009
302009
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
212015
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
182018
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
172013
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
162015
Towards a simulation-based framework for evaluating energy-efficient solutions in train operation
V De Martinis, U Weidmann, M Gallo
Computers in railways XIV: railway engineering design and optimization …, 2014
162014
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
142015
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
132013
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
92014
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
72014
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
52016
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
42014
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
32018
The evaluation of energy efficient solutions in train operation: a simulation-based approach
V De Martinis, UA Weidmann
14th Swiss Transport Research Conference (STRC 2014), 2014
32014
The evolution of hierarchical transport networks: a demonstration model
F Pagliara, A Wilson, V de Martinis
CASA WP 169, 2011
32011
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
12018
A hybrid dynamic-kinematic EKF for train trajectory estimation
PG Sessa, V De Martinis, F Corman
2018 21st International Conference on Intelligent Transportation Systems …, 2018
12018
Hybrid stochastic approaches for train trajectory reconstruction
PG Sessa, V De Martinis, A Bomhauer-Beins, F Corman, U Weidmann
Conference on Advanced Systems in Public Transport and TransitData (CASPT 2018), 2018
12018
Enhancing energy efficiency in railway operation through RCG-based rescheduling
A Toletti, V De Martinis, UA Weidmann
2017 IEEE International Conference on Environment and Electrical Engineering …, 2017
12017
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