Truck travel characteristics as an indicator of system condition and performance.

Details

• Alternative Title:
  Joint Transportation Research Program Technical Report Series : Civil Engineering
• Creators:
  Ahmed, Anwaar ; Volovski, Mathew ; Van Boxel, Daniel ; Labi, Samuel ; Sinha, Kumares C.
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Highway Traffic Lagging Headway Level Of Service Passenger Car Equivalence Passenger Car Equivalent Quality Of Service Traffic Traffic Characteristics Traffic Volume Truck Traffic Truck Travel Characteristics

  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2011/07
• Resource Type:
  Tech Report
• Geographical Coverage:
  Indiana
• Edition:
  Final report.
• Corporate Publisher:
  Purdue University. Joint Transportation Research Program
• Abstract:
  The effect of trucks on the level of service is determined by considering passenger car equivalents (PCE) of trucks. The
  
  Highway Capacity Manual (HCM) uses a single PCE value for all tucks combined. However, the composition of truck traffic
  
  varies from location to location; therefore a single PCE-value for all trucks may not correctly represent the impact of truck
  
  traffic at specific locations. Consequently, the Indiana Department of Transportation wanted to develop separate PCE values
  
  for single-unit and combination trucks to replace the single value provided in the HCM. Traditionally, equivalent delay and
  
  microscopic simulations have been used to estimate PCE values. In order to facilitate the development of site specific PCE
  
  values, an alternative PCE-estimation methodology was explored in the present study on the basis of lagging headways
  
  measured from field traffic data. The study used data from four locations on a single urban freeway and three different rural
  
  freeways in Indiana. Three-stage-least-squares (3SLS) regression techniques were used to generate models that predict
  
  lagging headways for passenger cars, single unit trucks, and combination trucks. The estimated PCE values for single-unit and
  
  combination truck for basic urban freeways (level terrain) were 1.35 and 1.60, respectively. For rural freeways, the estimated
  
  PCE values for single-unit and combination truck were 1.30 and 1.45, respectively. However, due to the lack of sufficient
  
  quality data for rural freeways, the estimated PCE values for rural freeways are not recommended for use. As expected, traffic
  
  variables such as vehicle flow rates and speed have significant impacts on vehicle headways. The use of separate PCE values
  
  can have significant influence on the LOS estimation. This study also explored regional variation of PCE values. The results
  
  of the likelihood ratio test indicated that it is appropriate to combine data from similar locations (freeway sections at different
  
  geographical locations) for the PCE analysis.
  
  
• Format:
  PDF
• Funding:
  SPR-3229
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1b2720f1652eaf9cc0424fedb2cdf0c709290203ae69cb0e25c2215cf5f59c711a428bf2bd51e3f064be6668634836fa553f3eeea56d426eb09c06539544b476
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23803/dot_23803_DS1.pdf
• File Type:
  [PDF - 10.78 MB ]