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EVE: Fully Electric Vehicle Traffic Simulator for Technological Validation and Decision Making
Author(s) -
Roberto Giménez,
Inmaculada Luengo,
Anna Mereu,
Evgenia Adamopoulou,
Konstantinos Demestichas
Publication year - 2014
Publication title -
procedia - social and behavioral sciences
Language(s) - English
Resource type - Journals
ISSN - 1877-0428
DOI - 10.1016/j.sbspro.2014.12.158
Subject(s) - software deployment , context (archaeology) , electric vehicle , computer science , transport engineering , decision support system , simulation , systems engineering , engineering , software engineering , artificial intelligence , paleontology , power (physics) , physics , quantum mechanics , biology
This paper introduces a novel Fully Electric Vehicle Traffic Simulator that enables the technological validation and support to decision making procedures when deploying Fully Electric Vehicle Infrastructures and Efficient Cooperative route planning in Smart Cities context. One of the main objectives of Smart Cities platforms and infrastructures is increasing energy efficiency and reduce carbon emission, above all in Logistics and Transportation, and the wide adoption of Fully Electric Vehicles and associated energy efficient route planning and charging paradigms is crucial to achieve these objectives. At the same time, there is the need of tools that can support the real deployment and implementation of these services into real Smart Cities scenarios: this is motivated by the fact that sophisticated traffic simulation tools that are able to simulate the impact of Fully Electric Vehicles into real scenarios are not yet available in the market and the tool that we propose in this paper has the objective of covering this technological gap. The results that we present in this paper are the outcomes of research activities performed in the FP7 project EcoGem and of the early activities of the ACCUS and EMERALD projects

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