TRAFFIC IMPACT ANALYSIS DUE TO DISRUPTION DURING MAJOR EVENTS USING MICRO-SIMULATION MODEL
Main Article Content
Abstract
This paper discusses traffic performance under major and disruption events on the road network. Traffic on the road network is modelled based on a microsimulation model by considering conditions without disruption, with disruption, and with disruption accompanied by the mitigation schemes. The simulation model used in this paper models the driving behaviour at the micro level that can be used to simulate interactions between vehicles and traffic performance in response to changes in road capacity due to disruption. The model is tested on a road network with significant sports events and potential natural disasters. Traffic flow is estimated based on information from previous events. The results of the microsimulation modelling show that the disruption scenario can reduce road network performance by up to 43%, with total delays that can increase up to five times. In addition, the mitigation schemes to reduce the disruption contribute to maintaining good traffic performance. This paper's framework can potentially be used to assess the impact of traffic disruptions during significant events. Furthermore, it can evaluate alternative strategies to overcome the disruption.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish in this journal agree to the following terms:
-
Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License, which allows others to share the work with acknowledgment of the work's authorship and initial publication in this journal.
-
Authors may enter into additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with acknowledgment of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of the published work.
Each submitted manuscript must be accompanied by a "Manuscript Originality Statement" and a "Copyright Transfer Statement".