Sedar Olmez's research while affiliated with University of Leeds and other places
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Publications (4)
By 2020, over 100 countries had expanded electric and plug-in hybrid electric vehicle (EV/PHEV) technologies, with global sales surpassing 7 million units. Governments are adopting cleaner vehicle technologies due to the proven environmental and health implications of internal combustion engine vehicles (ICEVs), as evidenced by the recent COP26 mee...
By 2020, over 100 countries expanded electric and plug-in hybrid electric vehicle (EV/PHEV) technologies, with global sales surpassing 7 million units. Governments are adopting cleaner vehicle technologies due to proven environmental and health implications of internal combustion engine vehicles (ICEVs), evidenced by the recent COP26 meeting. This...
Capturing and simulating intelligent adaptive behaviours within spatially explicit individual-based models remains an ongoing challenge for researchers. While an ever-increasing abundance of real-world behavioural data are collected, few approaches exist that can quantify and formalise key individual behaviours and how they change over space and ti...
Roadside collisions are a significant problem faced by all countries. Urbanisation has led to an increase in traffic congestion and roadside vehicle collisions. According to the UK Government’s Department for Transport, most vehicle collisions occur on urban roads, with empirical evidence showing drivers are more likely to break local and fixed spe...
Citations
... Agent-based models (ABMs) have often been used to study the difusion of new products and technologies because of their fexible architecture and ability to operate in various environments. Among them are many studies on the simulation research of new energy vehicles [1][2][3][4][5]. However, most focus on the macrolevel, such as charging infrastructure, fnancial subsidies, market share, and other factors, and pay less attention to the microlevel of social interaction, such as opinion leaders. ...
... It provides the means to plan, design and experiment with micro-heterogeneous agents in an artificial, computational environment. ABMs have been utilised in various domains to explain complex phenomena such as those that occur in crime [16,17], ecology [18][19][20], economics [21,22], sociology [23,24], geography [25,26] and transportation [27,28]. One advantage of using ABMs is that they are able to represent a richer and more detailed set of individual actors leading to potential policy alternatives and outcomes compared to the alternative, statistical models [29]. ...