A survey and comparative study of simulators for vehicular ad hoc networks (VANETs)
Wireless Communications & Mobile Computing
Deploying power grid-integrated electric vehicles as a multi-agent system
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Charging scheduling with minimal waiting in a network of electric vehicles and charging stations
VANET '11 Proceedings of the Eighth ACM international workshop on Vehicular inter-networking
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Communication-based Plug-In Hybrid Electrical Vehicle load management in the smart grid
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
Mobility models for vehicular ad hoc networks: a survey and taxonomy
IEEE Communications Surveys & Tutorials
RealTime distributed congestion control for electrical vehicle charging
ACM SIGMETRICS Performance Evaluation Review
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In a smart city environment, we look at a new, upcoming generation of vehicles running on electric power supplied by on-board batteries. Best recharging options include charging at home, as well as charging at public areas. In this setting, electric vehicles will be informed about public charging stations using wireless communications. As the charging stations are shared resources, cooperating electric vehicles have the potential to avoid unbalanced use of recharging stations and lengthy waiting times. We present a model for electric vehicles and their battery depletion, vehicle mobility, charging stations, and give a solution for optimal placement of charging stations in a smart city. Our placement approach is based on genetic programming and simulation of electric vehicles which move on a real map of a European city. We show that after a few evolution steps, an optimal solution of the charging infrastructure is derived based on mean trip times of electric vehicles.