TY - JOUR
T1 - The design of a flexible bus line plan
AU - Avila-Ordóñez, Elina
AU - Tampère, Chris M.J.
AU - Vanegas Peralta, Pablo
AU - Vansteenwegen, Pieter
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10/1
Y1 - 2022/10/1
N2 - A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance.
AB - A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance.
KW - Alternative lines
KW - Flexible line plan
KW - Genetic algorithms
KW - Line planning problem
UR - http://www.upch.edu.pe/vrinve/dugic/revistas/index.php/REH/article/view/3428
U2 - 10.1016/j.eswa.2022.117352
DO - 10.1016/j.eswa.2022.117352
M3 - Artículo
AN - SCOPUS:85130345249
SN - 0957-4174
VL - 203
JO - Expert Systems with Applications
JF - Expert Systems with Applications
M1 - 117352
ER -