Optimal trajectory planning for trains using mixed integer linear programming

Wang, Yihui; Schutter, Bart De; Ning, Bin; Groot, Noortje; Boom, T.J.J. van den

doi:10.1109/itsc.2011.6082884

Cited by 41 publications

(31 citation statements)

References 15 publications

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“…A similar method is proposed by Albrecht [1], who solves differential equation systems. In order to find a solution, which is a compromise between energy consumption and riding comfort, Wang et al [26] propose an optimization model based on a mixed integer program to optimize running times.…”

Section: Introductionmentioning

confidence: 99%

Towards eco‐aware timetabling: evolutionary approach and cascading initialisation strategy for the bi‐objective optimisation of train running times

Lejeune¹,

Chevrier

Vandanjon

et al. 2016

IET Intelligent Transport Systems

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Section: Introductionmentioning

confidence: 99%

Towards eco‐aware timetabling: evolutionary approach and cascading initialisation strategy for the bi‐objective optimisation of train running times

Lejeune¹,

Chevrier

Vandanjon

et al. 2016

IET Intelligent Transport Systems

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“…There are several measures which may be implemented by different kinds of decision-makers (such as local administrations, public transport operators and car manufacturers) to optimise the use of transportation systems, for instance by implementing pricing policies [1][2][3], by establishing restricted traffic zones [4], adopting ITS technologies to rationalise private car use [5,6], improving public transport quality [7,8] or implementing energy-saving strategies [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

The use of microsimulation models for the planning and management of metro systems

Placido¹,

D’Acierno²,

Montella³

2014

WIT Transactions on the Built Environment

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The management of public transport for rebalancing the use of transportation systems is a useful tool for reducing negative externalities without excessively affecting zone accessibility. In this context, a rail or metro system can be a key element for producing a high-quality supply of public transport. Obviously, due to the great vulnerability of rail technology to system failures, it is necessary to develop suitable tools to identify rapidly, even with off-line procedures, the best operational strategies which minimise user discomfort produced by such failures. Hence, our proposal is to extend previous models proposed in the literature by considering travel demand as an outcome of a random variable and not only in terms of average values. The proposed approach is applied in the case of a real dimension metro network, considering a wider class of failure contexts.

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“…Likewise, for the fourth phase, numerous studies have investigated the interaction between rail system performance and travel demand [9][10][11], the management and rescheduling of rail services in the event of perturbation [12][13][14][15][16] or the identification of optimal driving profiles which minimise energy consumption [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Digital Pattern Product Development: a pattern-driven approach for improving the bidding process in rail transport systems

Sanzari¹,

Brunetti²,

Torrieri³

2014

WIT Transactions on the Built Environment

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The planning and construction of a rail transportation system requires the implementation of several tasks where a major role is assumed by enterprises which have to pre-design, design and produce/build in detail any element of a rail system (i.e. infrastructure, signalling system and rolling stock). Currently, different divisions of a company perform different tasks or sub-tasks without adopting any (or sometimes only a partial) integrated approach in the various phases of product development. Our proposal, based on the case study of the multinational enterprise Ansaldo STS, is to develop a digital pattern approach for product development which consists of adopting an integrated approach in all phases of the industrial process in order to avoid redundancy and duplication in working phases, and lost times in redesign and in information retrieval. The proposed approach is based on a web platform which allows information sharing among the different phases of project implementation and data (know-how) concerning past projects. Finally, the approach is applied to design the signalling system for a conventional metro system.

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Optimal trajectory planning for trains using mixed integer linear programming

Cited by 41 publications

References 15 publications

Towards eco‐aware timetabling: evolutionary approach and cascading initialisation strategy for the bi‐objective optimisation of train running times

Towards eco‐aware timetabling: evolutionary approach and cascading initialisation strategy for the bi‐objective optimisation of train running times

The use of microsimulation models for the planning and management of metro systems

Digital Pattern Product Development: a pattern-driven approach for improving the bidding process in rail transport systems

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