Proceedings of the First Workshop on Urban Networking 2012
DOI: 10.1145/2413236.2413238
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Optimal deployment of charging stations for electric vehicular networks

Abstract: 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 prese… Show more

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Cited by 119 publications
(64 citation statements)
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“…Existing research in the field of road-EV charging station allocation focuses on cost minimisation and optimisation for charging infrastructure integration (Nie & Ghamami, 2013;Mak, Rong & Shen, 2013;Chen, Kockelmann & Khan, 2013), minimisation of additional trip time (Hess et al, 2012;Sweda & Klabjan, 2011) and the reliable provision of driving range (Wang & Lin, 2009;Li et al, 2010). Only a few frameworks make the attempt to develop an integrated and holistic approach to charging station allocation, whereas metrics and frameworks are majorly based on vague, estimated or approximated figures (Berman, Drezner & Krass, 2010;Gimé nez-Gaydou et al, 2014;Jin, 2016).…”
Section: Research Environmentmentioning
confidence: 99%
See 1 more Smart Citation
“…Existing research in the field of road-EV charging station allocation focuses on cost minimisation and optimisation for charging infrastructure integration (Nie & Ghamami, 2013;Mak, Rong & Shen, 2013;Chen, Kockelmann & Khan, 2013), minimisation of additional trip time (Hess et al, 2012;Sweda & Klabjan, 2011) and the reliable provision of driving range (Wang & Lin, 2009;Li et al, 2010). Only a few frameworks make the attempt to develop an integrated and holistic approach to charging station allocation, whereas metrics and frameworks are majorly based on vague, estimated or approximated figures (Berman, Drezner & Krass, 2010;Gimé nez-Gaydou et al, 2014;Jin, 2016).…”
Section: Research Environmentmentioning
confidence: 99%
“…Several approaches in logistics and material handling focus on the reduction of CO2-emissions (Faulkner & Badurdeen, 2014;Sparks, 2014), material and energy consumption (Frade et al, 2011;Nie & Ghamami, 2013;Jin, 2016), as well as the improvement of overall system and process efficiency (Hess et al, 2012;Mueller, Krones & Hopf, 2013;Gimé nez-Gaydou et al, 2016). In contrast to these optimisation approaches, growth rates of society and economy balance these developments and keep the levels of emission and consumption high, so that more advanced approaches for emission reduction are required.…”
Section: Introductionmentioning
confidence: 99%
“…Price differences between stations and/or times could be easily integrated into such routing decisions. Finally, there are an increasing number of papers, e.g., [24]- [26], considering the problem of optimal deployment of the charging stations. While this problem is beyond the scope of our current work, our framework could be used as a model of EV decision-making to tackle such problems, assuming some form of coordination among EVs.…”
Section: Related Workmentioning
confidence: 99%
“…The corresponding objectives also cover one or more of the following: shortest path, minimum energy consumption during driving and waiting, shortest waiting time, etc., which complement the fundamental needs of charging, i.e., energy. The solutions derived by optimal queueing or routing can be used not only by FOs to manage the charging of their PEVF, but can also be used for charging infrastructure planning in relation to both sizing and siting [78]. (2) Charging cost minimization: As one of the fundamental and essential objectives that a FO wants to achieve, cost minimization often refers to the operational cost of charging the PEVF.…”
Section: Charging Management Strategiesmentioning
confidence: 99%