A study on factors affecting the relationship between congestion impacts and congestion performance measures in area-road networks
2012 (English)Conference paper (Refereed)
Congestion performance measures (CPMs) are a key part of decision making. There are several aspects they have to fulfill in order to be useful tools for performance based planning. The relevance aspect corresponds to the capacity of a CPM to capture the impacts of congestion. Previous studies have identified factors that can impact the relevance of the indicators. Additionally, current congestion performance measures use the output of long term planning models. This made the indicators insensitive to the dynamics of congestion. Current improvements in traffic information and data availability have not been followed by corresponding evaluations of how congestion indicators describe the impacts of congestion. The present study is devoted to analyzing these factors with a special focus on factors influencing pollutant emissions. The car fleet composition has significant influenced when comparing areas with different car fleet compositions, hence it was not possible to identify the indicator that performed best. When the car fleet compositions between two areas are similar, the indicators that provided higher relevance were Relative Speed Reduction (Weighted Average) and Excess Delay. The percentage of heavy vehicles does not influence the capabilities of capturing the impacts of congestion. A discussion about how relevant aspects act together with other desired aspects for CPMs is presented. Recommendations for practitioners are presented at the end of the document.
Place, publisher, year, edition, pages
Washington: TRB , 2012.
Congestion Performance measures, Road Network, Microsimulation, Emissions
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-39685OAI: oai:DiVA.org:kth-39685DiVA: diva2:440387
QC 201109132011-09-132011-09-122011-09-13Bibliographically approved