Optimizing Rail Transit Routes with Genetic Algorithms and Geographic Information System

Metaheuristic Applications in Highway and Rail Infrastructure Planning and Design

“…Similar to highway infrastructure planning and design, rail infrastructure planning and designing an optimal route for railway track is desired (Jha et al, 2007). However, the design and operational conditions for railway track design are different than that for highways since the geometric curves of the railway track should accommodate the safe passage of the entire length of the train.…”

Light rail routing: do goals matter?

“…Hence, demand based optimization models may be used, such as those advanced by Verma and Dhingra (2005) and by Jha et al (2007). The corridors are analyzed according to the potential demand they will supply, and benefits are quantified largely in terms of the value of time saved.…”

“…In recent years several models have been advanced to identify the best routes according to each goal. For example, Verma and Dhingra (2005) and Jha et al (2007) advance models for identifying optimal rail corridors to supply existing demand, while Joshi et al (2006) advance a simulation model for selecting routes that will affect urban growth in Phoenix. These different modelling approaches reflect the fact that the different rationales often imply very different priorities in choosing LRT routes.…”

Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain)

“…There are also other authors that have used genetic algorithms to optimise different aspects of the said transport system, such as its track alignments, operators, user costs for rail operation [6][7][8] and crew scheduling [9,10]. There are also methods created that aim to optimise travel time and coasting points by using models based on artificial neural networks and genetic algorithms [11].…”