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Using Multi-Attribute Decision Factors for a Modified All-or-Nothing Traffic Assignment

by 1,* and 2
1
Upper Great Plains Transportation Institute, North Dakota State University, Fargo, ND 58105, USA
2
Department of Geosciences, North Dakota State University, Fargo, ND 58105, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Mark Zuidgeest and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2015, 4(2), 883-899; https://doi.org/10.3390/ijgi4020883
Received: 23 October 2014 / Revised: 2 May 2015 / Accepted: 12 May 2015 / Published: 21 May 2015
(This article belongs to the Special Issue GIS for Sustainable Urban Transport)
To elucidate a realistic traffic assignment scenario, a multi-criterion decision system is essential. A traffic assignment model designed to simulate real-life situation may therefore utilize absolute and/or relative impedance. Ideally, the decision-making process should identify a set of traffic impedances (factors working against the smooth flow of traffic) along with pertinent parameters in order for the decision system to select the most optimal or the least-impeded route. In this study, we developed geospatial algorithms that consider multiple impedances. The impedances utilized in this study included, traffic patterns, capacity and congestion. The attributes of the decision-making process also prioritize multi-traffic scenarios by adopting first-in-first-out prioritization method. We also further subdivided classical impedance into either relative impedance or absolute impedance. The main advantage of this innovative multi-attribute, impedance-based trip assignment model is that it can be implemented in a manner of algebraic approach to utilize shortest path algorithm embedded in a Geographic Information Systems (GIS)—Graphical User Interface tool. Thus, the GIS package can therefore handle the multi-attribute impedance effectively. Furthermore, the method utilized in this paper displays flexibility and better adaptation to a multi-modal transportation system. Transportation, logistics, and random events, such as terrorism, can be easily analyzed with pertinent impedance. View Full-Text
Keywords: impedance; traffic assignment; disruption; multi-attribute; route choice impedance; traffic assignment; disruption; multi-attribute; route choice
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Lee, E.; Oduor, P.G. Using Multi-Attribute Decision Factors for a Modified All-or-Nothing Traffic Assignment. ISPRS Int. J. Geo-Inf. 2015, 4, 883-899.

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