Work

Optimizing Train Driving to Minimize the Electricity Cost of an Entire Railway Traffic Mesh using Evolutionary Algorithms

Year: 2026

Type: preprint

Abstract: This paper presents a procedure to optimize the way trains are driven, which pursues, in addition to fulfilling operational constraints such as admissible speeds or journey durations, the minimization of the cost related to supplying electrical energy to the trains, including the cost of the energy consumption and the cost of the power capacity utilization. This procedure combines: (i) a traffic model that merges the energy and power footprint of each rail service part of the traffic mesh, and (ii) an evolutionary computation framework that enables searching for the optimal way to drive the trains to achieve an optimal traffic mesh. This procedure is applied to a 450 km long section of the high-speed line from Madrid to Barcelona (Spain).

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2609.05493

Authors: de la Fuente, Eduardo Pilo, Mazumder, Sudip K., Simon, Maria Antonia

Institution: Universidad Francisco de Vitoria

Language: English

Topic: Railway Systems and Energy Efficiency

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: green

OpenAlex ID: W7212019351

Cites: 17

Cited by:

Related to: 10