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Full-Text Articles in Engineering
Effects Of Future Connected Autonomous Vehicles On Freeway Congestion Using Fuzzy Cognitive Mapping, Hakan Kutgun, Vivian Du Pont, Henry Janzen
Effects Of Future Connected Autonomous Vehicles On Freeway Congestion Using Fuzzy Cognitive Mapping, Hakan Kutgun, Vivian Du Pont, Henry Janzen
Engineering and Technology Management Faculty Publications and Presentations
Continuing population growth and urbanization are projected to add 2.5 billion people to the world's urban population by 2050 [1]. It is evident that this will increase traffic congestion especially in the urban areas, which will bring economic, safety, environmental and quality of life challenges. There are various organizations looking for possible solutions to reduce the impact of future congestion by long term planning [2], most of these studies don't take into account emergence of disruptive technologies. The concept of vehicles with autonomous driving and online connectivity capabilities, namely, connected autonomous vehicles (CAVs) is an emerging technology [3] which may …
Framework For Building Integrative Scenarios Of Autonomous Vehicle Technology Application And Impacts, Using Fuzzy Cognitive Maps (Fcm), Pei Zhang, Antoine J. Jetter
Framework For Building Integrative Scenarios Of Autonomous Vehicle Technology Application And Impacts, Using Fuzzy Cognitive Maps (Fcm), Pei Zhang, Antoine J. Jetter
Engineering and Technology Management Faculty Publications and Presentations
Currently, Autonomous Vehicle (AV) technology is considered a potentially life-changing new technology that brings science fiction to life and can fundamentally impact how and where people live and work. As is the case with any new technology, it is unknown how the future will unfold. Instead, ideas about the future can be captured through scenario planning and used to develop a range of plausible, alternative futures (or scenarios). These scenarios can be used for strategic decision-making in technology and urban planning, transportation and business. Because policy makers, technology developers, and end-users all need to make assumptions about future AV technology, …