Evolutionary Revealed Social Dilemmas in Optimal Joint Decisions Regarding Carbon Footprint in Urban Road Networks

Urban areas are facing an enormous pressure for mobility opportunities, a phenomenon closely related to economic activity and urban welfare growth. The development of urban transportation networks is a vital component in the performance of metropolitan complexes, where multiple policies can be employed and multiple objectives is urged to be met. In this paper, a policy-driven approach will be presented for providing optimal investment plans for future network expansions, by taking into account the management of carbon footprint related to the vehicle emissions on urban networks. In particular, optimal network development and pricing decisions will be attempted to be inquired in order multiple social, economical and environmental targets to be simultaneously optimized. The proposed advanced methodological approach that will be followed here corresponds to the estimation of equilibrium points of the non-cooperative game among network administrator and network multi-class users. This situation is formulated as a complex non-convex, multi-level, vector optimization programming problem, while the solution set is composed of the Pareto Front, estimated by evolutionary algorithms for alternative problem setups, revealing the effect of carbon footprint considerations in transportation planning procedures.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Maps; References; Tables;
  • Pagination: 27p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01152418
  • Record Type: Publication
  • Report/Paper Numbers: 10-3064
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:30AM