Analytical tool for measuring emissions impact of acceleration and deceleration lanes : final report.

Details

• Creators:
  Teng, Hualiang (Harry) ; Yu, Lei ; Qi, Yi (Grace)
• Corporate Creators:
  University Transportation Research Center ; Polytechnic University (Brooklyn, New York, N.Y.) ; Texas Southern University
• Corporate Contributors:
  New Jersey Department of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Acceleration Lanes Deceleration Lanes Emissions Exhaust Gases Highway Grades Mathematical Models Regression Analysis
• Publication/ Report Number:
  FHWA-NJ-2001-024 ; 75144-01-02
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  New Jersey. Dept. of Transportation
• Abstract:
  Air quality has become one of the important factors to be considered in making transportation improvement
  
  decisions. Thus, tools are expected to help such decision-makings. On the other hand, MOBILE5 model, which
  
  has been widely used in evaluating air quality improvement, become helpless when the transportation
  
  improvements are sensitive to factors such as acceleration/deceleration, grade, etc. which are not modeled in
  
  MOBILE5 model. For example, improvements can be made to reduce the grade of a ramp, thus reduce high
  
  acceleration and deceleration. Intuitively, high acceleration would induce high emissions. MOBILE5 model,
  
  however, doesn’t model the impact of acceleration/deceleration on emissions, thus cannot help the relevant
  
  decision-makings. Therefore, the objective of this study is to develop emission models to incorporate into
  
  acceleration/deceleration.
  
  In this study, nonlinear regression models were developed to take into account factors of acceleration or
  
  deceleration, which are not considered in MOBILE5 model. To fully capture the dynamics of
  
  acceleration/deceleration, not only the acceleration or deceleration of the current time period is included in the
  
  independent variables, but also those of previous time periods. In addition, the duration that acceleration or
  
  deceleration has been exercised is also included as independent variables. The factor of grade is considered in
  
  the models by using the grade to adjust the values of acceleration or deceleration. Besides these independent
  
  variables, variables representing traction power are also introduced into the models because they directly
  
  determine the amount of emissions to be produced by a vehicle. With this modeling approach, the validation
  
  results show that the emission model developed in this study can produce a close match to the raw emissions
  
  data in both microscopic and macroscopic levels.
  
  
• Format:
  PDF
• Funding:
  RF CUNY 14
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:894ce9d90b73880c8efc0d5d41195cf4411ecca1bb259302403cfc9186e9fd45
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/16161/dot_16161_DS1.pdf
• File Type:
  [PDF - 828.51 KB ]