Peak Spreading Methodology for Future Scenario Evaluations Using Microsimulation

Microsimulation provides the highest level of traffic dynamics representation when compared to other traffic analysis tools. However, utilizing microsimulation for long-term future scenario testing is still relatively unexplored. One of the main challenges here lies in the complexities that come with high traffic growth. When future peak hour Origin-Destination (OD) trip tables from planning models are applied to microsimulation models, often time unrealistic congestion quickly builds up because unlike the planning models, the microsimulation models don’t allow the volume/capacity ratio to exceed 1. To solve this problem, peak spreading may be applied to divert excessive travel demand to neighboring hours in the peak period. How to apply peak spreading to microsimulation to mitigate unrealistic congestion is a challenging problem. In this paper, we propose a new methodology to apply peak spreading to microsimulation. A peak spreading approach that shifts trips from the peak hour to shoulder hours is developed and the problem is formulated as a bi-level program. The goal of this bi-level program is to minimize the total number of unreleased vehicles from origin zones in the microsimulation model due to the congestion. The proposed methodology is tested and applied to a microsimulation network in Fresno, California for 2025 scenario testing. Significant improvements are obtained using this approach; where for the selected zones, the number of unreleased vehicles is dropped by 95.3%.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01049647
  • Record Type: Publication
  • Report/Paper Numbers: 07-2017
  • Files: TRIS, TRB
  • Created Date: Feb 8 2007 6:43PM