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Energy Consumption and Routing Model
for First Responder Vehicles

By: Alex Rodriguez | Mentor: Dr. Stephen Medeiros

Abstract

The ongoing research and prototyping of electric vehicles (EVs) offers numerous opportunities to investigate their performance in various service contexts. As EVs are integrated into society, the reliable prediction of fuel consumption and routing time becomes particularly important in emergency response services. This project develops a preliminary stochastic model that can route and predict the energy consumption and travel time for hypothetical emergency vehicles operating on an electric battery cell. Using a Monte-Carlo framework, we constructed a routing model designed to minimize travel time and resource consumption under various simulated conditions. In doing so, we establish the foundation for balancing the demands of time and energy in a relatively unexplored context and determined the impact of elevation, distance, time, and other factors on energy consumption for these large vehicle types. My model computes likely travel times, power consumption, and best-suited resulting route for emergency vehicles from the Orange County Fire Station to four locations on the University of Central Florida campus: Millican Hall, Lake Claire, Jay Bergman Field, and the Creative School for Children. My model provides consistent results that are comparable to real-world travel times recorded by the Orange County Fire Station. Future work will include more robust and accurate iterations of the model that could ultimately be a useful tool for both first responders as well as other EV services that require efficient resource allocation and time forecasting in routing.

KEYWORDS: routing, model, first response, energy, stochastic, electric vehicles

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