Optimizing Missouri's Statewide Transportation Improvement Program Letting and Construction Schedule [Summary]

Details

• Creators:
  Loos, Ryan ; Adams, Bill ; Lee, Brian
• Corporate Creators:
  High Street Consulting Group (HSCG)
• Contributors:
  Hosey, Jenni
• Corporate Contributors:
  Missouri. Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Genetic Algorithms Letting Optimization Statewide Transportation Improvement Program (STIP) Transportation System Management
• Resource Type:
  Brief
• Geographical Coverage:
  United States ; Missouri
• Edition:
  Research Summary
• Corporate Publisher:
  Missouri. Department of Transportation
• Abstract:
  This study evaluated how Missouri’s annual letting calendar could be structured to improve competition and lower award costs while remaining feasible under existing policies and delivery practices. Historical bid outcomes were used to estimate monthly “performance curves” that related workload share to observed price behavior. A genetic algorithm then assigned projects across roughly eleven monthly lettings to minimize expected awards, subject to practical constraints. Contractor capacity was reflected implicitly in the curves and examined explicitly through a backlog based probabilistic bidding check.
• Format:
  PDF
• Funding:
  TR202409
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:68a06cfbf5f3411444416f39b1b358e7007eee88f73e8b46f65569c4759817c961815adafcfa3e09ccc512a448b47cedd1292761243f4b8b3615e1a978d8c114
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89394/dot_89394_DS1.pdf
• File Type:
  [PDF - 377.73 KB ]