Dynamic Traffic Assignment for Road Network Vulnerability Analysis

抄録

The purpose of this research is to compare results of Dynamic Traffic Assignment models with to traditional Static Models during Road Vulnerability Analyses. It is hypothesised that Dynamic Assignment models will improve vulnerability analyses results compared to Static Assignment models as it is able to consider temporal effects of traffic. Vulnerability Analyses are conducted for area disruption cases (multiple links affected) with 99% link capacity reduction. Disruption areas are assigned randomly and are the same size for all cases. NEXTA software is used for both assignment models in the case study area of West Jordan, Utah. A total of 256 cases during the AM peak and PM peak periods are simulated using four different queue models. Results showed an insignificant difference of average travel time increase and overall demand during disruptions between Dynamic and Static assignment models for most cases.