The effect of highway geometry on fuel consumption of heavy-duty vehicles operating in eco-driving mode

Kabongo, Booto Gaylord; Bohne, Rolf André; Vignisdóttir, Hrefna Rún; Pitera, Kelly; Marinelli, Giuseppe; Brattebø, Helge; Wallbaum, Holger; Ebrahimi, Babak

doi:10.1201/9781315100333-308

Cited by 3 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Multi-objective particle swarm optimization (MOPSO) comes from the bionic research on the predation behavior of birds. Birds seek the optimal solution by cooperating and sharing information [16] . The detailed process of MOPSO is as follows:…”

Section: Multi-objective Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Highway Alignment Optimization Design Method Based on Multi-Objective Particle Swarm Optimization

Wang,

Xie,

et al. 2024

E3S Web of Conf.

View full text Add to dashboard Cite

Highway alignment design is a nonlinear multi-objective optimization problem. Due to the uncertainty and complexity of the constraints, it is challenging to develop a suitable model for 3D road alignment design. To comprehensively consider the constraints and realize the intelligent design, this study puts forward a novel highway alignment model to optimize the horizontal and vertical alignment design, in which the length utility cost and structure construction cost are projected into the optimization space. Finally, the numerical solution is carried out by MOPSO on MATLAB platform. The results show that this method can effectively solve the problem of highway alignment design under the condition of realizing the highway design specifications, shortening the design cycle, and improving the design quality, which verifies the feasibility of the optimization algorithm for the horizontal and vertical alignment optimization design of highway.

show abstract

Section: Multi-objective Particle Swarm Optimization Algorithmmentioning

confidence: 99%