Various disruptions such as natural disasters, malevolent attacks, and emergencies are still inevitably posing threats on road networks in the driverless environment. However, most studies have focused on the impacts of micro mixed traffic flow characteristics, which cannot explicitly measure road network vulnerability in driverless environment. This paper develops a bi-objective framework to construct driverless environment based on travel demand. An improved accessibility-based methodology integrating traffic flow and driverless conditions evaluates the vulnerability of road network under disruptions. The proposed methodology was applied to the highway network in Florida, USA. Results demonstrate that the vulnerability of road network would be decreased with the increase of the penetration rate of autonomous vehicles. When the penetration rate gets in the range of 40%–80%, network vulnerability would significantly reduce, and they show linear relationship. Findings of this study could provide new sights into managing and planning driverless road network in future.
An Assessment of Driverless-Oriented Road Network Vulnerability under Disruptions
22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China
CICTP 2022 ; 2410-2422
2022-09-08
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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