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Title: Peak Spreading Methodology for Future Scenario Evaluations Using Microsimulation
Accession Number: 01049647
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: 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%.
Monograph Title: Monograph Accession #: 01042056
Report/Paper Numbers: 07-2017
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Liu, Henry XJabari, Saif EddinMa, WentengPublication Date: 2007
Conference:
Transportation Research Board 86th Annual Meeting
Location:
Washington DC, United States Media Type: CD-ROM
Features: Figures
(7)
; References
(14)
; Tables
(1)
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Administration and Management; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2007 Paper #07-2017
Files: TRIS, TRB
Created Date: Feb 8 2007 6:43PM
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