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Routing of Electric Vehicles in a Stochastic Network with Non-recurrent Incidents

EasyChair Preprint no. 4220

5 pagesDate: September 19, 2020


An approach for mapping an electric vehicle EV driver s travel time constraints and risk taking behavior to real time routing in a probabilistic time-dependent or stochastic network is proposed in this paper. The proposed approach is based on a heuristic algorithm that finds the shortest path according to the driver s preferences. Accounting for en route delays and alternate routes, the EV routing problem in stochastic networks is shown to exhibit other than the First In First Out FIFO property i.e. the traveling time for those who depart earlier may not sooner of those who depart later or wait en route in the charging stations. The proposed approach provides EV drivers the option to manage their trip and reach the destination on time, while by taking advantage of the non FIFO characteristics of the traffic network, charge their cars en route. The proposed routing algorithm is tested on a given stochastic transportation network. The best routes based on the driver s preferences are identified while accounting for the best-planned delays at the charging stations or en-route.

Keyphrases: Electric vehicles routing, FIFO, non-FIFO, stochastic networks

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mohammad Arani and Mohammad Mehdi Rezvani and Hamzeh Davarikia and Yupo Chan},
  title = {Routing of Electric Vehicles in a Stochastic Network with Non-recurrent Incidents},
  howpublished = {EasyChair Preprint no. 4220},

  year = {EasyChair, 2020}}
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