Artificial intelligence and DOE: an application to school bus routing problems

Avilés-González, Jonnatan; Mora-Vargas, Jaime; Smith, Neale R.; Cedillo-Campos, Miguel Gastón

doi:10.1007/s11276-019-01985-w

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Meanwhile, [ 24 ] only focuses on the subproblem of the construction of the routes. From the point of view of the objectives, some authors focus their efforts on solving the SBRP with a single objective [ 18 , 25 , 26 ], and others, like [ 27 , 28 ], attempt to solve the SBRP with multiple objectives.…”

Section: Methodsmentioning

confidence: 99%

Conscious Exploration of Alpha-Cuts in the Parametric Solution of the School Bus Routing Problem with Fuzzy Walking Distance

Sánchez-Ansola

Pérez

Rosete-Suárez

et al. 2022

Computational Intelligence and Neuroscience

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Combinatorial optimization problems allow for modeling multiple situations in which proper allocation of resources is needed. For some real-world problems, the use of fuzzy elements in the models allows for incorporating certain levels of uncertainty to better approximate such real-world situations. One way to solve combinatorial optimization problems with fuzzy elements is the parametric approach, where it is necessary to define how to explore different relaxation levels using alpha-cuts. Researchers tend to select such alpha-cuts uniformly. The current investigation proposes a novel strategy for selecting alpha-cuts in the School Bus Routing Problem with fuzzy students’ maximum walking distance. This proposal bases its foundations on the number of student-bus stop pairs available according to the different levels of relaxations allowed. Results demonstrate how the proposed strategy gives attractive solutions with more diverse trade-offs, contrasted with other methods in the literature. Furthermore, it decreases the computational cost for those instances where the maximum relaxation does not provide new pairs of students-bus stops.

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Section: Methodsmentioning

confidence: 99%

Conscious Exploration of Alpha-Cuts in the Parametric Solution of the School Bus Routing Problem with Fuzzy Walking Distance

Sánchez-Ansola

Pérez

Rosete-Suárez

et al. 2022

Computational Intelligence and Neuroscience

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“…Numerous previous studies have been conducted to improve the safety of school buses; however, most of them have focused on studying measures related to school bus itself and school bus management. For example, some scholars focused on the design of school buses and safety [ 7 , 8 , 9 ]; some scholars focused on how to use intelligent transportation systems to monitor school buses and provide assistant strategies [ 2 , 10 , 11 ]; others conducted research on the development of school bus management systems [ 12 ]. On the whole, the above research on school bus safety has played a significant role in ensuring the safety of passengers in school buses.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of School Bus Stopping Process on Driver Behavior of Surrounding Vehicles Based on a Driving Simulator Experiment

Chen

Guo

et al. 2021

IJERPH

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School bus safety has attracted widespread attention with economic development and the improvement of overall quality of the population. However, violations of school bus regulations and school bus-related crashes often occur. Limited research has been conducted on the impact of the school bus stopping process on surrounding drivers’ behavior. This study provides a driving simulator experiment to explore drivers’ behaviors during the school bus stopping process under different traffic law awareness status, traffic volume status, and initial location status. Eight variables about behavior decision and kinetic parameters were assessed for analysis by a logistic regression model and multivariate analysis of variance (MANOVA). Results show that the mean speed decreases and the number of people complying with the regulations increases after publicizing the regulations. The proportion of surrounding vehicles in the acceleration state increases, especially under the scenario that the traffic volume is large and the initial distance is far. This indicates that the enforcement of the regulations may stimulate unsafe driving behavior. The findings of this study could help policy makers to better understand the prevalence and compliance of current school bus stopping regulations among drivers and support improvements in the practical application of the regulations.

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