Investigating Benefits of IntelliDriveSM in Freeway Operations--Lane Changing Advisory Case Study

Merging conflicts created by freeway on-ramps contribute significantly to freeway congestion. Although the need to address merging conflicts is evident, transportation engineers have limited options with existing traffic surveillance and management tools. Fortunately, IntelliDriveSM, the integration of vehicles and the infrastructure through wireless communication, offers the potential for much more active management of the surface transportation system, providing capabilities that may be of significant benefit in ramp management. Given this background, in this research, a lane changing advisory algorithm was developed to explore the potential of IntelliDriveSM in improving freeway ramp management. Utilizing new IntelliDriveSM capabilities (highly detailed individual vehicular data and personalized advisory information provision), the proposed algorithm attempts to reduce merging conflicts by encouraging early mainline freeway lane changes to create more space in ramp merging areas. An evaluation of the algorithm was conducted using a PARAMICS microscopic simulation model of a heavily traveled freeway network in Orange County, California, for morning peak hours. The results have revealed that IntelliDriveSM has significant potential in improving freeway operations. More specifically, the lane changing advisory algorithm improved the network performance by enabling 4.3% more vehicle miles traveled while reducing vehicle hours traveled by 4.6%, which resulted in 9.3% higher average speeds.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Photos; References; Tables;
  • Pagination: 21p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01154454
  • Record Type: Publication
  • Report/Paper Numbers: 10-2536
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:12AM