Optimized deployment of emission reduction technologies for large fleets.

Details

• Alternative Title:
  Project title: Optimized deployment of emission reduction technologies for large fleets
• Creators:
  Farzaneh, Mohamadreza ; Memisoglu, Gokhan ; Kianfar, Kiavash
• Corporate Creators:
  Texas Transportation Institute
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.)
• Subject/TRT Terms:
  • Vehicle fleets
  • Motor vehicles
  • Air pollution
  • Environmental impacts
  • Motor vehicle fleets--Environmental aspects--Texas
  • Air--Pollution--Texas--Prevention--Mathematical models
• Publication/ Report Number:
  SWUTC/11/476660-00022-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Edition:
  Technical report; Sept. 2009-Aug. 2010.
• Corporate Publisher:
  Texas Transportation Institute
• Abstract:
  This research study produced an optimization framework for determining the most efficient emission ; reduction strategies among vehicles and equipment in a large fleet. The Texas Department of ; Transportation’s (TxDOT’s) fleet data were utilized to identify the key factors as well as refine and ; demonstrate the developed framework. TxDOT owns and operates more than 11,000 vehicles, of which ; approximately 3,200 units are non-road diesel equipment. TxDOT is considering serious actions to reduce ; emissions from its fleet, especially in designated non-attainment (NA) and near non-attainment (NNA) areas. ; This project includes a comprehensive literature review, identifies the key parameters affecting the ; deployment of resources to reduce emissions, and develops a framework for producing an optimal emission ; reduction strategies deployment plan for a typical large fleet. ; The capabilities of the proposed framework are demonstrated through a set of five case study scenarios. ; These scenarios cover a range of location preferences, budget limits, and analysis scales. TxDOT’s fleet data ; were utilized in this effort. The mathematical formulation and optimization modeling is implemented using ; ILOG CPLEX and Visual C++ platforms.
  More +
• Format:
  PDF
• Funding:
  DTRT07-G-0006
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23112/dot_23112_DS1.pdf
• File Type:
  [PDF - 759.02 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bbff8b342635c678a6d571c9097b24e3485dfec728349440a5d74de1ea31eefc68a837d4d52c6076b6fdba9404ac4b3e32a32577c490d6e3e3341b6464407dbf