Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Valerio De Martinis"'
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
The hierarchical connection of Rail Traffic Management System (TMS) and Automatic Train Operation (ATO) for mainline railways has been proposed for a while; however, few have investigated this hierarchical connection with the real field. This paper s
Externí odkaz:
https://doaj.org/article/3a4608b083fc42f296818232e6f8971e
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 35:415-429
Future railway systems will need the support of more precise and reliable information on train motion during operation, to fully exploit the potential of new technologies. Train motion inf...
Autor:
Axel Bomhauer-Beins, Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman, Ulrich Weidmann
Publikováno v:
Public Transport. 13:675-698
The next generation of railway systems will require more and more accurate information for the planning of rail operation. These are essential for the introduction of automatic processes of an optimized traffic planning, the optimal use of infrastruc
Autor:
Valerio De Martinis, Francesco Corman
Publikováno v:
Transportation Research Part C: Emerging Technologies. 95:679-697
Railway systems must increase their performance and economic competitiveness to remain an effective and efficient transport mode. Energy efficiency goals are one of the main drivers for the future evolution of planning and operations of transport sys
Publikováno v:
ITSC
This paper proposes a Hybrid Dynamic-Kinematic Extended Kalman Filter (EKF) for the online estimation of train position, velocity and acceleration along the track. In the proposed EKF commonly used kinematic measurements are fused with dynamic inform
Autor:
Valerio De Martinis, Ulrich Weidmann
Publikováno v:
Research in Transportation Economics. 54:41-50
Nowadays, energy efficiency is a key requirement for railway systems in order to reduce operating costs. One of the main solutions for implementing energy efficiency is the optimization of train speed profiles to minimize tractive energy consumption.
Publikováno v:
2018 TRB Annual Meeting
The optimization of rail operation for improving energy efficiency plays an important role for the current and future market of rail freight services and helps rail compete with other transport modes. This paper presents a feedforward simulation-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283fe4ff4ecc434995a6a9fb8a076134
Publikováno v:
Transportation Research Procedia. 10:584-594
Energy efficiency and train length may be critical during rescheduling, in particular if long freight trains are considered. The first aim of this paper is to investigate how current scheduling and rescheduling models consider train length and energy
Publikováno v:
2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).
This paper presents a new approach for train rescheduling, based on a Resource Conflict Graph (RCG) approach, which considers energy efficiency aspects into solutions. The model is expressly developed for highly congested mixed traffic networks, wher
Autor:
Mariano Gallo, Valerio De Martinis
Publikováno v:
Procedia - Social and Behavioral Sciences. 87:222-233
This paper proposes models and methods to optimise train speed profiles in suburban areas in order to minimise total energy consumption. In order to achieve this target, an optimisation framework is developed for designing driving strategies, which r