An algorithm based on the PPC (Polynomial Parametric Curve) for designing horizontal highway alignments

Giuseppe Sollazzo, Orazio Pellegrino, Sollazzo, D’Andrea, D’Andrea, Bosurgi

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Criteria for geometric design of highway alignments have been studied in various researches so far,providing new methods, as alternative to traditional approaches. They can be useful for obtaining bettersolutions, characterized by high performances in terms of motion safety and comfort. In particular,continuous curvature alignments, based on polynomial functions, are highly consistent solutions with users'driving behaviour and vehicle trajectories. Moreover, alignment geometry optimization allows engineers tominimize dynamic effects on drivers with considerable advantages in terms of comfort and safety.This paper carries on the research of a previous study, in which a polynomial parametric curve, called"PPC", useful for horizontal highway alignment design, has been proposed. Besides, this curve has beenshown to be suitable for solving cases with complex geometry, such as the road interchanges. In theseparticular situations and in the design of horizontal curves in highway alignments, the computationaladvantages related to the use of a single curve, compared to traditional procedures based on a composition ofdifferent elements (clothoids and circular curves), are very clear. In particular, in this paper, an originalalgorithm, for simplifying the PPC introduction in the highway alignment design, is proposed. To verify thePPC improvements, an exhaustive numerical example, with several comparisons to traditional approach(characterized by straight sections, circular curves and clothoids as transition curves), has been performed. Aboth point by point and global examination of kinematic and dynamic variables directly involved whiledriving has attested the method validity.
Original languageEnglish
Pages (from-to)5-20
Number of pages16
JournalAdvances in Transportation Studies
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Transportation


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