engleski

Modeling Smart Parking Lots through a Discrete- Event Simulation

The transportation sector has a significant negative impact on the environment thanks to the conventional internal combustion engines often used in vehicles. Electric vehicles (EVs), however, are prime examples of how new technologies are capable of reducing the transportation sector’s carbon footprint. Acknowledging this fact, governments around the world have been providing incentives for drivers to buy EVs. For example, Norway, which nowadays provides some of the most generous incentives for buyers of EVs, has 54, 160 EVs on the road as of May 2015. Perhaps most impressive is the fact that EVs make up 12% of new vehicle sales. A consequence of the increasing number of EVs on the road is a growing need for charging stations. It is expected that the number of EV charging stations will boost from 1 million units in 2014 to 12.7 million units by 2020, what represents a compound annual growth rate greater than 50%. The use of IS techniques and tools to help with the transformation of traditional parking lots into energy systems results into the so-called smart parking lots, in a sense that smart parking lots provide not only parking services, but also the possibility for EV owners to charge their cars for a price. Different research communities have been tackling issues related to smart parking lots from different perspectives, including coordinated smart charging as well as figuring out the optimal placement and size of smart parking lots. We propose in this paper a simulation approach to modeling smart parking lots. In particular, our simulation model is defined in terms of a discrete-event simulation where we model the interactions between the relevant entities (EVs, parking lot, and electricity market) in a non-deterministic way.

smart parking lot ; electric vehicles ; willingness to pay ; discrete-event simulation ; Thinning algorithm

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