Benefits of Multi-Destination Travel Planning for Electric Vehicles

A Method for the Optimization of Daily Activity Chains Including Electric Vehicles

“…The better distribution of drivers to charging stations is a major possible benefit, as well as, the more efficient tours that are to be followed will minimize the consumed energy and the load on the charging stations network as a whole. As shown in work by Cuchý et al [3], and their simulation efforts based on multi-destination planning tools like the one provided in this article, those methods can allow the better alignment of supply and demand and can help to make the overall transition to electromobility smoother.…”

“…There are observations that range anxiety is minimally experienced by users of specific types of EVs in specific regions, such as in the study by Gorenflo et al [33], in which, their analysis of the e-bike usage and battery charging data supports that range anxiety does not exist among the participants of the survey. Finally, in order to underline the importance of guidance systems, like the one presented in this paper, we further present the study of Cuchý et al [3]. In their work, they were able to evaluate multi-destination transportation scenarios according to single-user perspective and infrastructure perspective by using AgentPolis simulation framework.…”

“…With the expected rise of the use of Electric Vehicles (EVs) all over the world [1] and the positive impacts that they are expected to bring [2], advanced EV travel planning algorithms are now essential more than ever [3]. Alongside the growth of EVs on global markets and the impact that they will have on power grids, transportation networks, and the environment [4], the study for intelligent driver assistance solutions for EV users is critical.…”

“…Alongside the ability of those methods to address problems of EV drivers on an individual level, they can improve the situation for the system-level [3], too. Mitigation strategies on electrification on a regional level, as their importance as highlighted in recent articles [9], can benefit from driver assistance ITS, since the underlying methods can be independent of the spatial-context and are reproducible over several regions according to needs of travelers of those specific regions.…”

“…Apart from the work of Cuchý et al [3], little research has been conducted to study the flexibility or willingness to use travel planning services for EV drivers. However, the authors believe that based on other previous research on other modes of transport, and mainly conventional automobiles [10], a driver assistance system customized for EV users can be of crucial importance.…”