The PCA Selection Methods of Reform Plans for Separating Trucks from Passenger Vehicles

In order to study the suitable conditions of different reform plans of separating trucks from the passenger vehicles and provide evidence and guidance for reforming the system of separating trucks from the passenger vehicles, this paper provides an index system, including delay, times of changing lanes, coefficient of speed variance and so on. What’s more, this paper carries out the analysis to this index system by applying the method of principle component analysis (PCA) and gets the selection and evaluation methods of reforming the system of trucks from the passenger vehicles. It confirms the effectiveness of the method by comparing it with the other methods, which are the mainstream in current through sequence-number summation theory. The results show that the method of PCA is more effective than other comprehensive evaluation methods when they are used to evaluate the efficiency of reforming the system of separating trucks from the passenger vehicles.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1397-1408
  • Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics

Subject/Index Terms

Filing Info

  • Accession Number: 01606974
  • Record Type: Publication
  • ISBN: 9780784479896
  • Files: TRIS, ASCE
  • Created Date: Jun 29 2016 3:06PM